Category "Blog"

In the rapidly evolving landscape of the Internet of Things (IoT) and smart devices, reliable and efficient connectivity is paramount. Managed Wi-Fi services play a crucial role in enabling seamless communication and data exchange between IoT devices. The explosion of mobility & BYOD, enterprise virtualized applications moving to the cloud, increased use of multimedia-rich applications within the enterprise, and infrastructure modernization are a few of the core business drivers for increased adoption of enterprise managed Wi-Fi services.

With unprecedented advancements in IoT, data modeling, and AI/ML, there is a consistently growing focus on edge computing and its benefits. Enterprises are accelerating efforts to move to the cloud for on-demand computing, capacity, scale, better reach, scalability, and higher availability. Additionally, the managed Wifi services eliminate the traditional Wi-Fi challenges like lack of uniform access policy, no visibility into the wireless network, inadequate protection against wireless threats, complex or tedious onboarding process, and lack of visibility on user groups.

According to Marketsandmarkets, the global edge computing market size as per revenue surpassed $44.7 billion in 2022 and can rise to $101.3 billion by 2027 at a CAGR of 17.8% for the forecasted period (2022-2027).

This blog explores the significance of Enterprise Managed Wi-Fi services in supporting the proliferation of IoT and smart devices, the challenges they address, and the benefits they bring to businesses and consumers.

1. Connectivity and device management
   Managed Wi-Fi services offer a fully managed, secure wireless platform integrating Information Technology (IT), Operation Technology (OT), and people. It provides a robust infrastructure for connecting and managing a multitude of IoT devices. It offers a cloud-based centralized management platform with control and monitoring capabilities enabling enterprises to configure and manage their IoT devices efficiently. From provisioning and onboarding to security protocols and firmware updates, these services streamline the device lifecycle, reducing operational complexities and enhancing overall device management.
2. Security and data protection
   Managed Wi-Fi services enable a security posture which is crucial in the IoT landscape. The managed Wi-Fi services offer robust security features to protect IoT devices and the data they generate. By processing sensitive data locally or within a private network using network segmentation, edge devices can minimize data exposure to potential cyber threats as they’re isolated from other network resources. Managed Wi-Fi services also enable regular security updates and patches to address emerging threats, enhancing the overall security posture of IoT deployments.
3. Bandwidth management
   With the growing adoption of connected devices, scalability becomes a critical factor as transmitting a large amount of data to the cloud for processing can strain network bandwidth and incur significant costs. Enterprise Managed Wi-Fi services are designed to handle large-scale deployments enabling enterprises to seamlessly scale their IoT networks. Enterprises can prioritize critical applications and optimize network resources using advanced bandwidth management techniques to ensure IoT devices receive the optimal bandwidth for their operations, preventing congestion, maintaining smooth communication between devices, and more efficient network utilization.
4. Reliability and performance
   IoT applications and Smart devices often require real-time data exchange and low-latency connectivity. Managed Wi-Fi ensures high reliability and performance for IoT devices by optimizing network configurations and minimizing interference. They employ techniques like load balancing, channel selection, and Quality of Service (QoS) prioritization to maintain a stable and responsive Wi-Fi network. Edge computing reduces the latency required for sending data to a remote cloud server for processing. By processing data at the edge of the network, closer to the devices generating the data, response times can be significantly reduced. It is important for applications that require real-time or near-real-time processing, such as industrial automation and remote monitoring.
5. Analytics and insights
   Enterprise Managed Wi-Fi enables real-time analytics into network performance and device behavior, giving enterprises decision-making capabilities at the network edge. They collect and analyze data on network traffic, device connectivity, and usage patterns, offering actionable intelligence to optimize network resources and improve overall IoT operations. These insights can help identify potential bottlenecks, optimize device placement, and enhance user experiences. Additionally, analytics-driven predictive maintenance can proactively detect and address anomalies, reducing downtime and increasing the lifespan of IoT devices.
6. Scalability and cost-efficiency
   Edge computing allows for distributed computing resources, enabling scalability and cost-efficiency. Instead of relying solely on centralized cloud infrastructure, edge devices can share the computational load and distribute the processing tasks. It can result in reduced network congestion, lower costs associated with cloud resources, and improved scalability to accommodate the increasing number of IoT devices and data volumes.

Wrapping up!

With the growing digital landscape and IoT integration across enterprises, the need to deliver secure, seamless customer and employee experiences become a top priority. Enterprise Managed Wi-Fi services provide a reliable and secure connectivity infrastructure to deliver seamless device management, ensure scalability, optimize network resources, quick & accurate decision making, enhanced production planning, logistics, complete mobility for your workforce, and lower IT support costs.

As the IoT landscape continues to expand, Managed Wi-Fi services will remain crucial in delivering seamless and efficient connectivity for a wide range of applications, enhancing productivity, efficiency, and user experiences.

This is one of the most common questions that my team get asked, especially for cloud and service migrations. The answer of course depends on the circumstances. What is more telling is the ‘approach’ part of the question.

We have learned that whenever we explore a little deeper within a business, we usually discover if there is an appetite for continuous process improvement (CPI). Specifically, linking IT processes and incremental changes to improve efficiency and quality.

Continuous Incremental Change

The idea of moving IT applications and resources to increase operational efficiency may seem abstract to CPI. But IT change programs can be the catalyst for delivering a continuous business development cycle strategy. This can be a key foundation for the best approach strategy if you want an IT service change programme to deliver on an ongoing basis.

Some of the best examples of businesses delivering sustainable IT change are where there has been a culture that embraces continuous incremental change. This is not to say these organisations are slow at improvement, but business and IT change can take a greater effect when mandated across multiple teams with a common focus on a goal of improvement. I have also seen an attitude towards risk reduction on larger projects with more people within cross-functional roles working within small groups of three and four.

Succeeding in Economies of Speed

One of the best ways I’ve seen this explained was by Gregor Hohpe, AWS Senior Principal Evangelist. In his talk, “Succeeding in Economies of Speed”, he explained his view of achieving transformation success by using “four levers for change”. I was able to draw some parallels with some of Gregor’s content that resonated with some of our own findings.

1. Stop Thinking of Delivering One-off Projects

As in one single and significant effort of change, only to then return to business as usual. Instead, organisations should be thinking of transformation more as many continuous efforts of improvement where there is no end-running state and where change is normal. To put this in context one of the biggest blockers in the initial stages of transformation can be lobbying the board for support and their trust to invest time, money and resource into a major IT change programme. Whilst the instigators of change are busy making the business case for the best technology platform and cloud provider they are often at odds with the rest of the operational teams when it comes to potential impact, disruption and reputation loss.

2. The Classic IT Conflict

Here is where operational folk require harmonisation and standardisation to keep a smooth-running ship whilst the business is demanding change through Innovation and agility. Planning for a major change in one go that will significantly affect how an organisation’s customers, partners and employees will access its resources will always need careful consideration and rightly so. Disruption brings with it high costs and risks. That is often the only approach for some when a compelling event such as a major incident, a pandemic, building lease expiry, etc, occurs and the time to act is short.

What might be the best approach? If you were to ask that question of a Business Management Consultant some may talk first about understanding a leadership team’s attitude to risk and workforce culture. Whilst those attributes are important, when we talk to our clients, we look at the state of business readiness for a planned move or change. By this, we mean everyone across all affected business units is engaged and ready to embrace the proposed change. Technology is usually the easy part, but people and cultures take longer to adapt. So could the idea of changing the environment and continuing to improve on efficiency not always be one big project of disruption but integrated within usual working practices?

Let me be clear here, I don’t have all the answers to how to divide up your workforce from existing departmental workgroups into multiple smaller teams with more team leads. It may sound more bureaucratic, but according to AWS when a smaller team is aligned and can work as cross-functional groups, this can stimulate faster activity with actionable insights. AWS also refers to this approach as one of its levers for change.

3. Moving Organisational Charts to Flywheels

The effect of more work groups that are aligned means that change programmes now become business practices where decisions can be made locally and more frequently. Much of the work we do with our clients is helping them make that first step towards IT change. Taking on the smaller lower-risk tasks at first (e.g., running a pilot or proof of concept) will help stimulate the art of the possible. We consider this type of experimentation activity healthy. But only if it is done once because it’s seen as disruptive and done in isolation from the rest of the business. It will seldom drive a desire to keep on experimenting and trying out new things regularly.

Related Read: Download the ebook to rethink and revamp your operating models to realise cloud technology’s full potential.

Conclusion

To foster a culture of continuous innovation requires some lateral business thinking. Moving to a cloud operating model with fewer constraints from an incumbent will have its challenges. Operational teams that function as smaller work groups are one key step. Those teams must set common goals and process exceptions that allow freedom to step out and try new things. AWS’s customers agree that this can promote innovation and culture to embrace constant change.

This dispersed team formation can allow more decision-making to be done more frequently by taking smaller calculated risks. Decisions can be more localised down to a group lead or individual allowing for more immediate actionable results.

When tasked with evaluating a move of your IT applications for cost savings and efficiency think first about what outcomes the business wants and needs.

Questions you should consider:

• Are you just trying to make one part cheaper or faster?
• Do you want to revolutionise the way people work and engage with customers?
• How do you map out the journey rather than build a project plan?
• Do others in the business have sight of the journey that you want to take them on?
• How motivated and ready is your business to try something new?
• And keep on trying?

You may not know the answers to all these questions but spending some time thinking about them may alter your approach.

How Sify Can Help

Sify is ideally placed to help businesses build a sustainable, fully optimised cloud infrastructure that meets long-term business needs.

Sify offers deep expertise in all areas of cloud and IT infrastructure, combined with proven methodologies and frameworks to help analyse, design and optimise cloud environments.

Our proven experience and expertise have delivered for organisations seeking to optimise their cloud infrastructures, including reducing costs and ensuring resources are right sized, accelerating deployment time for new applications, improving alignment between business functions and helping firms integrate new cloud-based technologies such as AI or analytics.

The Key Challenges We Solve

With a heritage in IT Infrastructure, Sify has grown over two decades to provide a one-stop engagement across networks, data centre, cloud, digital and IT services.

Sify enables you to build an IT infrastructure that underpins business profitability, by delivering flexible expertise to fill IT skills gaps, and by deploying, managing and optimising complex hybrid environments to deliver the right combination of flexibility, security and affordability.

Here are the key challenges our Managed Services can help your organisation solve:

To learn more about how Sify can help manage change projects, visit our Cloud Optimisation page.

Businesses are increasingly turning to cloud technologies to enhance their operations, improve efficiency, and drive innovation. However, navigating the complex world of the cloud with internal resources alone is extremely challenging due to the depth of IT knowledge and skills needed across different platforms.

For a faster, better outcome for your business, you will require the support of an experienced and knowledgeable IT partner. They will provide your business with the expertise, guidance, and services necessary to continually optimise your IT environment.

This article will explore the qualities that make an IT partner the best fit for the task and highlight the invaluable role they play in maximising the benefits of the cloud.

IT Expertise and Technical Proficiency

One of the crucial qualities of a good IT partner is their depth of IT expertise and technical proficiency. They possess a comprehensive understanding of multiple cloud platforms and architectures such as Google, Microsoft Azure, Oracle and AWS. Whether it’s public, private, or hybrid cloud, the best IT partner for cloud optimisation has the knowledge and experience to assess the unique needs of your organisation and recommend the most suitable solution.

Related Read: Maximising the Benefits of Managed Cloud IT Environments

Continuous Innovation

A good IT partner stays updated with the latest trends and advancements in cloud technology. They understand emerging technologies such as containers, serverless computing, and artificial intelligence (AI), and can provide guidance on effectively leveraging these innovations. Their expertise extends to areas such as cloud security, data management, performance optimisation, and scalability. With their technical expertise, a partner ensures the cloud IT environment is designed, implemented, and maintained in a way that aligns with your organisation’s objectives.

Strategic Guidance

The best IT partners go beyond technical proficiency by serving as strategic advisors. To successfully achieve this, a partner needs to possess the business acumen to align cloud strategies with your organisation’s overall goals. The first step should be to conduct a thorough assessment of your existing IT environment. Step two is a consult-led approach to understanding your company’s future aspirations. From there, a roadmap for optimising your cloud IT infrastructure should be developed. This aligns your goals with the partner’s capability and resources to provide a blueprint for your cloud journey.

From a technical standpoint, an IT partner should assist in identifying additional workloads that are suitable for migration to the cloud, taking into consideration factors such as performance requirements, cost-efficiency, and data sensitivity. They help develop a cloud migration strategy, outlining the steps, timelines, and potential risks associated with the transition. Their strategic guidance also includes recommendations for selecting the right cloud providers, negotiating service-level agreements, and managing vendor relationships.

Implementation and Support

An IT partner will work closely with your IT team to ensure a seamless transition to the cloud environment where necessary. From provisioning and configuring cloud resources to migrating applications and data, they handle the technical complexities, minimising disruption to business operations.

Furthermore, an IT partner provides ongoing support and maintenance services. They proactively monitor the cloud infrastructure, identifying potential issues, and resolving them promptly. Regular performance optimisation, resource management, and capacity planning are integral aspects of their services. Their expertise in troubleshooting and incident management ensures a high level of availability and reliability for the cloud infrastructure.

Flexibility and Scalability

The cloud offers unparalleled scalability and flexibility, and an IT partner capitalises on these benefits. They understand that your business requirements change over time, and the cloud environment must adapt accordingly. Whether scaling resources to handle sudden spikes in demand or optimising costs during periods of low usage, an IT partner helps organisations achieve optimal resource allocation.

An IT partner also assists in implementing automation and orchestration solutions to streamline processes and improve efficiency. They enable your organisation to leverage cloud technologies to automate routine tasks, reducing manual effort and enhancing productivity. This agility ensures that your IT environment remains responsive to your ever-evolving business needs.

Related Read: Why is Cloud Optimisation Crucial?

Conclusion

In the age of digital transformation, optimising cloud IT environments is crucial for all organisations to stay competitive and meet evolving customer demands. An IT partner plays a vital role in this journey by offering guidance, expertise, and services that enable organisations to harness the full potential of the cloud. Their technical proficiency, strategic guidance, implementation support, and focus on flexibility and scalability make them an invaluable asset. By using an IT partner, you can confidently navigate the complexities of cloud computing and achieve a robust, efficient, and future-ready IT environment.

How Sify Can Help

Sify is ideally placed to help businesses build a sustainable, fully optimised cloud infrastructure that meets long-term business needs.

Sify offers deep expertise in all areas of cloud and IT infrastructure, combined with proven methodologies and frameworks to help analyse, design and optimise cloud environments.

Our proven experience and expertise have delivered for organisations seeking to optimise their cloud infrastructures, including reducing costs and ensuring resources are right sized, accelerating deployment time for new applications, improving alignment between business functions and helping firms integrate new cloud-based technologies such as AI or analytics.

The Key Challenges We Solve

With a heritage in IT Infrastructure, Sify has grown over two decades to provide a one-stop engagement across networks, data centre, cloud, digital and IT services.

Sify enables you to build an IT infrastructure that underpins business profitability, by delivering flexible expertise to fill IT skills gaps, and by deploying, managing and optimising complex hybrid environments to deliver the right combination of flexibility, security and affordability.

Here are the key challenges our Managed Services can help your organisation solve:

To learn more about how Sify can help you optimise your IT environment, visit our Cloud Optimisation page.

During the COVID-19 pandemic, it became increasingly difficult for organizations to manage their in-house data centers due to challenges with scalability, break/fix support, and operations and maintenance staffing requirements. As a result, many organizations moved their in-house data center to a colocation provider and some of their applications to public clouds.

Modern-day data center powerhouses provide not only the necessary infrastructure and state-of-the-art technology but also advanced data analytics and automation capabilities. They offer streamlined operations, business continuity, reduced Capex/Opex, flexible engagement models, superior end-customer experience, support for business expansion, and accelerated digital transformation, among other outcomes.

Selecting the right data center: Key factors in play

Data center service providers typically offer an extensive array of services to accommodate diverse customer requirements. These include on-premise solutions, colocation options, wholesale and retail offerings, hyperscale capabilities, as well as specialized offerings like built-to-suit (BTS) data centers, green data centers, and comprehensive managed services. Businesses can find tailored solutions that align with their specific needs and preferences. It is important to choose the right data center service provider that can provide such integrated services, based on your business objectives and digital priorities.

[Interested to know more about Sify’s world-class data center facilities? Learn more]

Here are some factors to consider when selecting a data center service provider:

• Scalability: Rack space is a critical and limited commodity for many service providers. Selecting world-class data center providers with the capacity to build campuses capable of accommodating 8,000+ racks and 50 MW IT capacity, for example, will enable businesses to plan their scale-up within their choice campus. They also stand to benefit from a robust support/service stack and comprehensive monitoring of the data center infrastructure.
• Security: Be sure to prioritize data centers with robust security systems. IT infrastructure protection, including data security through encryption, firewalls, intrusion detection, and prevention, needs to be implemented – at the very minimum. Your data center service provider should also have multilayer physical security from the perimeter wall up to the cage, including mantraps, turnstiles, and biometric access control, in addition to surveillance cameras and security personnel, to restrict unauthorized individuals from entering secure areas or accessing confidential information.
• Network connectivity: Choose a data center provider with excellent network connectivity, including multiple internet service providers (ISPs) offering IP transit nodes, high-speed connections, multi-cloud connectivity, data center interconnectivity, and connectivity to customer premises. Data centers should have at least 3-4 fiber entry paths to the building, ensuring seamless connectivity and resilience. Additionally, the presence of low-latency cloud on-ramp services, including cloud access nodes, facilitates fast and direct interconnection with public cloud applications. These aspects collectively contribute to creating a robust, efficient, high-performing, and well-connected data center environment.
• Certificates, SLAs, and compliance: When selecting a data center provider, the importance of having the necessary certificates and service level agreements (SLAs) cannot be overstated. Certifications from industry authorities are highly desirable as they validate the provider’s adherence to industry best practices, process reliability, and security standards. A tier-3 data center with ISO 27001, ISO 20000, PCI-DSS, SoC 1, SoC 2 and ISO 1400, and ISO 50000 certifications is ideal. With its robust compliance framework, 99.99% uptime, and clear SLAs outlining performance commitments, Sify’s data centers deliver the highest levels of security, operational excellence, and environmental responsibility to customers.
• Industry experience: Data centers that have subject matter experts across functions can prove instrumental in managing diverse workloads. Extensive cross-industry experience gives them the ability to address the unique requirements of various sectors, such as finance or healthcare. For example, as a leading data center service provider in India, Sify has extensive experience across diverse industry sectors. Sify’s digital data center infrastructure services offer real-time visibility, measurability, predictability, and service support specifically required by different industries to offer customers high availability and seamless experiences.
• Green power: Many organizations today have committed to ESG goals, such as carbon neutrality, waste reduction, and power conservation. In this context, it becomes important to choose a data center provider that is invested in renewable energy, achieved by signing Power Purchase Agreements (PPA). Solar and wind power are increasingly viable options for clean energy. By choosing a data center service provider that adopts sustainable measures including renewable power, energy-efficient equipment, and practices, your business can achieve environmental goals while benefiting from competitive energy costs.

  Adherence to safety practices, rules, and regulations are also key EHS considerations. Leading green data center service providers, like Sify, invest in transparent, environmentally conscious, and ethical business practices, adhering 100% to local and global regulations, and outperforming the competition when it comes to sustainability, corporate social responsibility, and people practices.

  [Going green? Know how Sify’s green data centers are pushing the envelope on sustainability. Learn more]
• Data center footprint: Data centers strategically located in multiple regions ensure low latency and high-speed network connections, enabling efficient data transmission and improved user experience. A widespread presence allows data centers to establish diverse network routes and redundancy, minimizing the risk of network failures or disruptions.
• Partnership with hyperscalers: Hyperscale partnerships enable data centers to offer seamless integration with leading cloud platforms, offering flexible hybrid cloud solutions and enhanced performance. Ensure you choose a service provider that banks on the power of partnerships and leverages the sharing of expertise and resources to stay at the forefront of technological advancements.
• Automation and innovation: AI/ML-driven automation is increasingly important in developing innovations that optimize operations, reduce costs, enhance performance, improve reliability and sustainability, and elevate service quality. Integration of AI/ML in vendor performance evaluation and SLA management, including metrics like MTTR and MTBF, further strengthens operations. For instance, Sify’s AI/ML capabilities have contributed to significant improvements of over 20% in project delivery turnaround time, showcasing the tangible benefits of data analytics in the data center domain.
• Backup and DR: It is essential to consider the risk of natural disasters such as earthquakes, floods, hurricanes, or wildfires. Select a location with minimal risk to ensure the safety and longevity of your IT infrastructure. It is also crucial to select a data center service provider with adequate backup and disaster recovery (DR) capabilities. This ensures that in the event of an unforeseen incident, the data center can quickly recover operations with little or no data loss.

Wrapping up! While these parameters will provide you with a solid basis for comparison, allow yourself to make the final decision based on your business’s specific objectives. Remember, there’s no one-size-fits-all approach when it comes to choosing a data center service provider.

As India’s pioneering data center service provider for over 22 years, it has been Sify’s continuous endeavor to innovate, invest in, and integrate new-age technologies. Learn more about how our state-of-the-art data centers have been delivering transformative business value to enterprises across the globe.

As businesses increasingly embrace cloud-based IT environments, they often encounter the challenge of escalating costs. While the cloud offers scalability, flexibility and potential cost saving, unchecked resource consumption and inefficient management can lead to financial strain. To address this issue, you need effective strategies to manage and optimise your cloud-based IT environments.

This article explores key approaches to mitigate escalating costs and achieve cost-efficient operations.

Analysing Cost Drivers

The first step in managing escalating costs is understanding the factors contributing to them. You should perform a comprehensive analysis of your cloud usage patterns, resource allocation, and configurations. This analysis will enable you to identify areas of overspending, underutilisation, or inefficient architecture. Pinpointing cost drivers is the first step to developing targeted optimisation strategies.

Rightsizing Resources

Rightsizing resources involves matching the allocated resources to the actual needs of the applications and services. Many organisations tend to overprovision resources, resulting in unnecessary costs. By rightsizing, you can optimise your IT environment, eliminating wasted resources and reducing expenses. This approach may involve scaling down instances, adopting auto-scaling mechanisms, or choosing lower-cost alternatives for specific services.

Utilising Cost-Effective Pricing Models

The major cloud service providers offer various pricing models, and so you should evaluate and select the most suitable options for your requirements. Utilising reserved instances, spot instances, or serverless computing can significantly reduce costs. Regularly reviewing pricing options allows you to take advantage of new offerings or changes, ensuring you will benefit from the most cost-effective solutions available.

Related Read: Maximising the Benefits of Managed Cloud IT Environments

Automating Infrastructure Management

Automation plays a crucial role in managing and optimising cloud-based IT environments. By automating provisioning, scaling, and resource management tasks, you can streamline operations and reduce costs associated with manual intervention. Automated systems can monitor and optimise resource allocation, detect, and resolve issues promptly, and prevent unnecessary expenses due to human error or oversight.

Implementing Monitoring and Cost Management Tools

Effective monitoring and cost management tools are vital for gaining insights into resource usage and cost trends. These valuable tools will provide you with a clear understanding of where costs are accumulating and help identify potential areas for savings. By setting up alerts for unexpected spikes in usage or costs, you can take immediate action to control expenditures and optimise resource allocation.

Optimising Data Storage

Storage costs often contribute significantly to escalating cloud expenses. You need to regularly review your data storage strategy to identify opportunities for cost optimisation. This may involve implementing tiered storage options, such as moving infrequently accessed data to lower-cost storage tiers or archiving rarely used data. By adopting efficient data management practices, you can reduce storage costs without compromising accessibility or compliance requirements.

Related Read: Build Your Bespoke Data Centre Environment with Sify

Implementing Cost Allocation and Governance

Establishing cost allocation practices is essential so you can assign cloud costs to specific departments, teams, or projects. This promotes accountability and helps identify areas of excessive spending. Implementing governance mechanisms ensures adherence to cost management policies and compliance with budgetary constraints. By promoting a culture of cost awareness and responsibility, you can optimise your cloud spending.

Continuous Optimisation and Review

Cloud environments evolve over time, and so must you by continuously optimising your IT infrastructure. Regular evaluation of usage patterns, cost trends, and technological advancements is crucial to identify opportunities for further cost optimisation. By staying informed about new features, pricing models, and best practices, you can adapt and refine your strategies to achieve ongoing cost-efficiency.

Related Read: Why is Cloud Optimisation Crucial?

Consider Multi-Cloud or Hybrid Cloud Approaches

Diversifying cloud infrastructure across multiple providers or adopting a hybrid cloud model can offer cost advantages. By leveraging the strengths of different providers and integrating with on-premises resources, you can optimise costs based on specific requirements. Multi-cloud and hybrid cloud approaches provide flexibility, redundancy, and the ability to choose the most cost-effective options for various workloads.

Related Read: 6 Reasons Why Multi-Cloud Automation is Crucial for Your Business

Seek an Expert IT Partner

Managing escalating costs in a cloud-based IT environment can be complex. If you need help, you are not alone. Many organisations cite a lack of internal resources and expertise as a significant challenge they are facing. Having an engagement with an IT partner will allow you to get the necessary support to discover, execute and maintain optimisation strategies. A good IT partner will provide ongoing insights, best practices, and recommendations based on their extensive experience, resources and knowledge.

Conclusion

Effectively managing escalating costs in a cloud-based IT environment requires a proactive and strategic approach. To summarise, the key considerations this article has covered are:

• Analyse cost drivers
• Right size resources
• Utilise cost-effective pricing models
• Automate infrastructure management
• Implement monitoring and cost management tools
• Optimise data storage
• Implement cost allocation and governance practices
• Continuously optimise and review
• Consider multi-cloud or hybrid cloud approaches
• Seek an expert IT partner

By considering these factors, you can achieve cost-efficient operations and maximise the benefits of cloud computing. With proper cost management strategies in place, you can leverage the cloud’s scalability and flexibility while keeping expenditures under control.

How Sify Can Help

Sify is ideally placed to help businesses build a sustainable, fully optimised cloud infrastructure that meets long-term business needs.

Sify offers deep expertise in all areas of cloud and IT infrastructure, combined with proven methodologies and frameworks to help analyse, design and optimise cloud environments.

Our proven experience and expertise have delivered for organisations seeking to optimise their cloud infrastructures, including reducing costs and ensuring resources are right sized, accelerating deployment time for new applications, improving alignment between business functions and helping firms integrate new cloud-based technologies such as AI or analytics.

The Key Challenges We Solve

With a heritage in IT Infrastructure, Sify has grown over two decades to provide a one-stop engagement across networks, data centre, cloud, digital and IT services.

Sify enables you to build an IT infrastructure that underpins business profitability, by delivering flexible expertise to fill IT skills gaps, and by deploying, managing, and optimising complex hybrid environments to deliver the right combination of flexibility, security and affordability.

Here are the key challenges our Managed Services can help your organisation solve:

To learn more about how Sify can help you optimise your IT environment, visit our Cloud Optimisation page.

In the digital era, traditional learning methods are gradually being transformed by digital learning. Digital learning refers to using technology and digital tools to deliver learning content, facilitate interactive learning experiences, and promote collaboration among learners.

This article aims to explore the key benefits of digital learning within a learning program, highlighting how it enhances learning outcomes and empowers learners in today’s technologically-driven world.

Accessibility and Flexibility

Digital learning offers unprecedented accessibility and flexibility, breaking down barriers to personal development. Learners can access learning content and resources anytime, anywhere, through a standard internet connection. This accessibility is particularly beneficial for employees who are based in multiple locations. The flexibility of digital learning allows learners to study at their own pace, accommodating various learning styles and preferences. It enables personalised learning experiences, promoting individual progress and engagement. This ultimately provides better outcomes.

Interactive and Engaging Learning Experiences

Digital learning introduces interactive and engaging learning experiences that captivate learners’ attention and enhance knowledge retention. Multimedia elements such as videos, virtual reality, and gamification techniques provide a dynamic and immersive learning environment.

These elements encourage active participation, critical thinking, and problem-solving skills, encouraging learners to explore concepts and apply them in practical scenarios. Additionally, digital platforms often incorporate social learning features, enabling learners to collaborate, discuss ideas, and receive feedback from peers and instructors, further enriching the learning process.

Case Study: Using Virtual Reality for Unconscious Bias Training

Adaptive and Personalised Learning

One of the key advantages of digital learning is its ability to adapt to individual learners’ needs and preferences. Advanced algorithms and artificial intelligence (AI) can assess learners’ progress, identify knowledge gaps, and deliver personalised content and recommendations accordingly. Adaptive learning platforms provide tailored learning paths, ensuring that learners receive the most relevant and challenging material, optimising their learning experience. By catering to individual strengths and weaknesses, digital learning promotes self-directed learning and enables learners to achieve their full potential.

Related Read: Bespoke Content to Maximise Learner Effectiveness

Expanded Access to Resources and Expertise

Digital learning programs provide learners with access to a vast array of resources and expertise beyond the confines of traditional face-to-face training sessions. Through online libraries, databases, and digital repositories, learners can access a wealth of information, articles, and research materials, enhancing the depth and breadth of their learning. Furthermore, digital platforms often feature collaboration tools that facilitate communication with subject matter experts, guest speakers, and global communities, enabling learners to benefit from diverse perspectives and broaden their understanding of different subjects.

Related Read: Learn more about how Percipio can deliver off-the-shelf content for your learning program

Real-time Assessment and Feedback

Digital learning enables real-time assessment and feedback, allowing learners to gauge their progress and make necessary adjustments promptly. Online quizzes, interactive assignments, and automated grading systems provide immediate feedback, highlighting areas for improvement and reinforcing learning objectives. This timely feedback loop encourages learners to actively engage with the material, correct misconceptions, and deepen their understanding. Additionally, digital learning platforms often offer performance analytics and progress tracking, empowering learners to monitor their growth and celebrate milestones, promoting a sense of accomplishment and motivation.

Related Read: How to Measure Return on Investment from a Learning Program

Conclusion

Digital learning within a learning program brings numerous benefits that enhance learning outcomes and empower learners in the digital age. Its accessibility, flexibility, interactivity, and adaptability cater to individual needs and preferences, encouraging a personalised learning experience. By expanding access to resources and expertise, digital learning broadens learners’ horizons and encourages continuous learning. Real-time assessment and feedback mechanisms enable learners to monitor their progress and make necessary adjustments. As digital learning continues to evolve, it has the potential to revolutionise personal development, bridging gaps and transforming the way knowledge is acquired, shared, and applied.

How Sify Can Help

Sify provides specialist digital learning services that offer the complete learning solution you need to attract, nurture and retain the best business talent.

We understand a successful learning program is an evolving journey because you are dealing with a constantly changing audience. That is why we work in partnership with you to design, implement and optimise your learning program.

Sify helps organisations succeed with their learning goals of boosting employee productivity, reducing staff turnover and improving company culture.

Our Digital Learning Services

Credits: Published by our strategic partner Tenovos.

In an era of increasing personalization, the key to successful marketing campaigns is effective storytelling that reaches the right audience with the right message at the right moment. If this chemistry between audience, content, and timing is the key to success, creative and marketing professionals have to rely on next-generation asset management technology that can guide them toward the right combinations by replacing guesswork with data, and surrounding content with context.

Traditionally, Digital Asset Management platforms (DAMs) have focused on assisting teams to manage their digital assets and move them from inside the organization to external partners and platforms. The premise is simple: a central repository where brands can store their assets alongside relevant metadata to make everything easy to find — photos and videos, logos and tear sheets, and any other brand collateral that needs to be used and reused.

At its most basic level, a good DAM solution enables marketers to do their jobs more efficiently. More modern DAMs employ AI and machine learning to automatically add relevant tags to assets, so teams can spend less time on tedious tasks like tagging or finding assets and more time on the creative and analytical areas of their jobs. The most advanced DAM platforms, however, go beyond managing and moving assets, to actually measuring their performance in their context of use.

Building a DAM for the Modern Enterprise

Over the past 20 years, the pace of change in technology has exploded, while the DAM category has lagged behind in innovation. Brands have come to expect an exceptional, personalized user experience complete with smart insights from their marketing platforms, and DAM should be no exception. As marketing becomes increasingly fast-paced and data-driven, it’s time for a completely new and different DAM experience — one that can meet the demands of an increasingly tech-savvy industry and understands its pain points.

The first and most important question that a DAM provider should ask is, ‘how does my solution help marketers do their jobs more effectively?’ That is, after all, the central goal of a DAM system: to make it easier and more efficient for creators and marketers to collaborate to design and execute successful campaigns. In other words, if finding an asset within the DAM system and searching through emails to find it take approximately the same amount of time, the system is not making teams more efficient — it’s simply adding a layer of complexity to their martech stack.

Creating a Seamless User Experience

Not all DAM platforms are created equal. One common issue that many enterprises face is the inability to seamlessly integrate their DAM platform with the rest of their marketing ecosystem, which can essentially negate the efficiencies gained by using an asset management solution in the first place. Considering that the code base of many solutions currently on the market is over a decade old (older, in some cases), this is a problem that will only get worse over time as marketers look to incorporate new tools and technologies into their workflows. Consequently, it’s important to find and implement a solution that leverages the use of modern technologies — such as AI/ML, micro-services, graph databases, and serverless environments — that will be able to maintain its speed and flexibility in the years to come.

An organization’s ability to collaborate seamlessly with team members across — and outside of — the organization is also a key indicator of the success of a DAM implementation. Marketing doesn’t happen in a single silo; from research to ideation, to creation to deployment, marketing is interconnected and interdisciplinary. A modern DAM platform should connect the enterprise in such a way that it simplifies the creative life cycle and enables marketers to reduce the friction and time required to launch each new campaign.

Data-Driven Marketers Need Data-Driven Technology

The reality is that many of the DAM solutions available on the market currently have not kept pace with the evolving needs of the increasingly data-driven marketing operation; they’re often expensive, difficult to implement, and don’t deliver the user experience marketers and creative professionals have come to expect from their technology. Seen from this angle, it’s not surprising that many organizations are hesitant to invest heavily in a new system that is not capable of demonstrating a return on investment.

Brands need modern DAM platforms that not only enable them to meet the demands of marketing in the digital age, but also help them to demonstrate — and improve — their ROI. Marketers should expect their DAM platform to provide:

• A data-first approach to asset management that allows brands to measure and optimize their processes and their content to provide increasingly personalized experiences
• A seamless user experience that drives adoption and enables teams across the world to collaborate easily
• Performance and optimization capabilities underpinned by artificial intelligence and machine learning
• Continuous improvement and delivery to support the demands of a global omnichannel enterprise

At the end of the day, companies implement a DAM solution in order to optimize their processes and improve their ability to tell the compelling stories that are central to a successful marketing operation. This optimization should come not only in the form of improving the speed of creation, but also the strategy behind a given campaign. A system that has access to all of the contextual data that surrounds your every asset should be able to distill those data into insights that inform the creation of future content.

A modern, data-first DAM should act not only as a content database but also as a source of insight to enable marketers to make smarter creative decisions, which in turn allows them to tell stories that matter to their audience.

Want to know what types of data your DAM should be providing? Reach us at marketing@sifycorp.com

Written by Michael Waldron, CMO, Tenovos  

In today’s rapidly evolving digital landscape, businesses are faced with the challenge of navigating the increasing complexity of deploying, managing, and optimising their IT environments. With the emergence of new technologies, hybrid architectures, and cloud-based infrastructures, organisations must adopt a strategic approach to effectively manage the complexities and leverage the full potential of their IT systems.

This article explores key strategies and considerations to successfully navigate this complexity.

Define clear objectives

Start by clearly defining your objectives and business requirements. Understand what you want to achieve with your IT infrastructure, such as scalability, cost optimisation, or improved performance. These objectives will guide your decision-making throughout the process.

Assess your current IT infrastructure

Conduct a thorough assessment of your existing IT environment, including both on-premises and cloud components. Identify strengths, weaknesses, and areas that need improvement. This assessment will help you understand the complexity you’re dealing with and identify areas for optimisation.

Related Read: Learn more about our Cloud Assessment services

Develop a comprehensive strategy

Based on your objectives and assessment, develop a comprehensive strategy that outlines how you will deploy, manage, and optimise your IT infrastructure. This strategy should include considerations for security, performance, scalability, and cost management.

Embrace automation

Automation tools can significantly simplify the management and deployment of complex infrastructures. Maximise automation by streamlining routine tasks, such as provisioning resources, scaling applications, or managing backups. Additionally, orchestration tools help you automate workflows and ensure smooth coordination between different components.

Leverage cloud-native technologies

Cloud-native technologies, such as containers and microservices, can provide agility and scalability in managing complex infrastructures. Containers allow you to package applications with their dependencies, making them portable and easy to manage. Microservices architecture helps break down applications into smaller, loosely coupled services, simplifying development and deployment.

Implement monitoring and analytics

Monitoring your IT environment is crucial for identifying bottlenecks, optimising performance, and ensuring availability. Implement robust monitoring and analytics tools that can provide real-time insights into the performance and health of your infrastructure. These tools can help you proactively address issues before they impact your operations.

Optimise for cost and performance

Regularly review your infrastructure to identify areas where you can optimise costs and improve performance. This may involve rightsizing resources, optimising workload placement, leveraging reserved instances, or implementing cost optimisation frameworks provided by cloud providers.

Related Read: Why is Cloud Optimisation Crucial?

Encourage collaboration and skill development

Managing complex IT infrastructures requires collaboration between different teams, such as IT operations, development, and security. Encourage cross-functional collaboration and provide opportunities for skill development to ensure your teams have the necessary expertise to navigate the complexity.

Stay updated with industry trends

The technology landscape is constantly evolving, and new tools and techniques emerge regularly. Stay updated with industry trends, attend conferences, participate in webinars, and engage with the community to ensure you are aware of the latest best practices and solutions.

Consider working with an IT partner

Managing the complexities of IT environments can easily become overwhelming. Working with an IT partner that possesses extensive expertise and proven experience will speed up the execution of your strategy and provide valuable support to help you deploy, manage, and optimise your IT environment.

Related Read: Learn more about Sify and the services we provide

Conclusion

As the complexity of IT environments continues to grow, organisations must adapt and evolve their strategies to navigate this landscape successfully. By clearly defining objectives, conducting holistic assessments, embracing hybrid and cloud architectures, leveraging automation, prioritising security, optimising performance and finding the right IT partner, businesses can navigate the complexities and achieve their desired outcomes.

Most importantly, remember that deploying, managing and optimising your IT environment is an ongoing process. You need to regularly reassess your strategy, adapt to new challenges, and continuously optimise your infrastructure to stay ahead of the curve.

How Sify Can Help

Sify is ideally placed to help businesses build a sustainable, fully optimised cloud infrastructure that meets long-term business needs.

Sify offers deep expertise in all areas of cloud and IT infrastructure, combined with proven methodologies and frameworks to help analyse, design and optimise cloud environments.

Our proven experience and expertise have delivered for organisations seeking to optimise their cloud infrastructures, including reducing costs and ensuring resources are right sized, accelerating deployment time for new applications, improving alignment between business functions and helping firms integrate new cloud-based technologies such as AI or analytics.

The Key Challenges We Solve

With a heritage in IT Infrastructure, Sify has grown over two decades to provide a one-stop engagement across networks, data centre, cloud, digital and IT services.

Sify enables you to build an IT infrastructure that underpins business profitability, by delivering flexible expertise to fill IT skills gaps, and by deploying, managing and optimising complex hybrid environments to deliver the right combination of flexibility, security and affordability.

Here are the key challenges our Managed Services can help your organisation solve:

Related Read: How Sify can help optimise your cloud environment

Introduction

SAP has unleashed its campaign of ‘RISE with SAP’ and it has been received very well by SAP customers and ERP prospects worldwide. RISE with SAP transitions ERP data (in the form of SAP ECC6.0 on-premise or SAP S/4 HANA on-premise) to the cloud (public or private) with less risk and without compromise. The bundle of ERP software, transformation services, business platform and analytics is quite an attractive offer to SAP customers having hosted SAP on-premise. This article delves into the business platform and analytics which is clubbed under ‘Business Technology Platform’ (hereafter called as BTP). SAP BTP is a cloud-based platform-as-a-service (PaaS) offering from SAP, which provides a set of tools and services for developing, integrating, and extending SAP applications and solutions. SAP BTP supports various cloud deployment models, including public, private, and hybrid clouds, and allows developers to build, deploy, and run their applications using SAP’s cloud infrastructure.

Four pillars of SAP BTP – It encompasses various capabilities that are categorized into following four pillars:-

1. Integration

This feature gives everything that is needed for agile business process innovation, extension, and integration in the cloud and in hybrid scenarios. You can easily integrate different systems, extend your current application, or create new solutions for your business needs with ideal user experience using the SAP Fiori interface. SAP Extension Suite provides various services that can be leveraged to build and extend SAP solutions. SAP Integration Suite (formally known as SAP Cloud Platform Integration -CPI Suite) lets you seamlessly integrate SAP and non-SAP solutions, both on-premise and in the cloud. SAP Integration Suite covers not only A2A and b2B integration scenarios but B2G(Business to Government) integration scenarios as well.

Currently, SAP provides over 2000+ pre-packed integration scenarios for different business processors. These out-of-the-box integration scenarios are ready-to-use, require minimum development effort, and cover a range of business process integrations. (Check out  https://api.sap.com/  for details).

With the introduction of SAP Integration Suite, SAP PI/PO would be getting phased out in near future.

2. SAP Build

It enables everyone – no matter the skill level – to rapidly create and augment enterprise-grade apps, automate processes and tasks, and design business sites with drag-and-drop simplicity.

SAP Build brings together SAP Build Apps (formerly SAP AppGyver), SAP Build Process Automation (formerly SAP Process Automation), and SAP Build Work Zone (formerly SAP Work Zone) into a unified development experience with new innovations to rapidly build apps, automate processes and create business websites.

Low-code / No-code development – Low-code uses both a traditional programming language-based environment combined with no-code platforms and is used by developers with at least basic technical knowledge.

No-code is simpler, and it fully replaces the traditional programming language-based tooling with a suite of visual development tools (ex. drag-and-drop components) and can be used by technical and non-technical people alike.

3. Data and Analytics

SAP Data sphere component enables accessing authoritative data, helps harmonizing heterogeneous data and thereby simplifies the data landscape.

The SAP Master Data Governance enables operating on high quality, consistent master data and established a comprehensive master data governance

SAP Analytical cloud – It is a single solution for business intelligence and enterprise planning, augmented with the power of artificial intelligence, machine learning technology, and predictive analytics. It helps everyone in your organization make better decisions and act with confidence.

SAP Analytics Cloud removes silos, empowers business analysts, and unifies a company’s decision-making processes by combining business intelligence, augmented analytics, and enterprise planning into one product. It helps in achieving 360° insights with a single connected analytics platform.

4. Artificial Intelligence

It enables business applications and processes more intelligent with the power of AI on SAP Business Technology Platform. Its pre-trained AI models accelerate infusion of AI into Apps. It helps managing the AI model lifecycle into one central place and ensures AI deployment responsibly with transparency and compliance.

SAP solutions such as SAP Intelligent Robotic Process Automation (SAP Intelligent RPA) and machine learning let you automate the kind of complex, repetitive decisions that make up a significant portion of business processes.

Service Catalog – SAP has come up with a rich repository of readily available 96 services encompassing one or more of the four pillars mentioned earlier. They help in integrating and extending your solutions, optimizing your business processes, and thereby creating an engaging digital experience using SAP Business Technology Platform services. Just to give an idea, some of the services are listed below:

• Automation pilot – Simplify the operational effort behind any cloud solution in the SAP BTP.
• Cloud foundry runtime – It lets you develop polyglot cloud-native applications and run them on the SAP BTP Cloud Foundry environment
• Cloud Integration for data services – To integrate data between on-premise and cloud on a scheduled/batch-mode basis.
• Continuous Integration and Delivery (CI/CD) – It lets you configure and run predefined continuous integration and delivery pipelines that automatically build, test, and deploy your code changes to speed up your development and delivery cycles.
• Identity provisioning – Lets you manage Identity Lifecycle processes for cloud and on-premise systems
• Kyma runtime – Develop and run containerized applications and extensions on Kubernetes. Kyma runtime is a fully managed Kubernetes runtime based on the open-source project “Kyma”. This cloud-native solution allows the developers to extend SAP solutions with serverless functions and combine them with containerized microservices. The offered functionality ensures smooth consumption of SAP and non-SAP applications, running workloads in a highly scalable environment, and building event- and API-based extensions.
• SAP AI core – It enables building a platform for your artificial intelligence solutions. It is designed to handle the execution and operations of your AI assets in a standardized, scalable, and hyper-scaler-agnostic way. It provides seamless integration with your SAP solutions. Any AI function can be easily realized using open-source frameworks. SAP AI Core supports full lifecycle management of AI scenarios.

SAP BTP Deployment – Salient points:

• Regions – You can deploy applications in different regions. Each region represents a geographical location (for example, Europe, US East) where applications, data, or services are hosted. A region is chosen at the subaccount level. For each subaccount, you select exactly one region. The selection of a region is dependent on many factors: for example, application performance (response time, latency) can be optimized by selecting a region close to the user. The global account itself is also running in a region.
• Environments – Environments constitute the actual Platform as a Service offering of SAP BTP that allows for the development and administration of business applications. Environments are anchored in SAP BTP on the subaccount level.

Each environment comes equipped with specific tools, technologies, and runtimes that you need to build applications. So a multi-environment subaccount is your single address to host a variety of applications and offer diverse development options. One advantage of using different environments in one subaccount is that you only need to manage users, authorizations, and entitlements once per subaccount, and thus, grant more flexibility to your developers.

• SAP BTP can have one or more global accounts. Global accounts are associated with license or contract which your company has with SAP BTP. Global account takes care of the license and contract and whatever the activities you perform or how you are billed is managed by global account.
• Global accounts are linked with entitlements which are passed down to subaccounts. Entitlements are the kind of resources provided to you based on the license that you purchased.
• Sub account is the place where you will be creating your PaaS environment(cloud foundry/Kyma).
• SAP BTP Cockpit – The SAP BTP cockpit is the central user interface for administering and managing your SAP BTP accounts as a platform user. To access the SAP BTP cockpit, you need to open a specific URL ‘https://cockpit.<region>.hana.ondemand.com’. You can replace the <region> with the one you are operating in (for example: eu10, us10, ap10) to have a lower response time and latency to the cockpit. After logging in with your user credentials, you might get prompted with a pop-up to choose the global account you want to access. Of course, you are able to switch between the global accounts as and when needed.
• Working with the SAP BTP cockpit is the easiest way to manage and administer your SAP BTP accounts.

Conclusion: SAP has come up with a lot of helpful resources related to BTP including use cases, case-studies, readily available services, pre-packed integration scenarios, tutorials etc. BTP offers a rich load of tools/services which would enable your organization’s business transformation and expedite your digitization journey. It needs to be fully leveraged when you opt for ‘RISE with SAP’.

Data centers have emerged as a crucial component of the IT infrastructure of businesses. They handle vast amounts of data generated by various sources, and over the years have transformed into massive and complex entities. Of late, data analytics has emerged as a necessary ally for data center service providers, powered by the growing need to improve parameters like operational efficiency, performance, and sustainability. In this blog, we will discuss the different ways in which data analytics and AI/ML can help enhance data center management and empower data center service providers to deliver better service assurance to end-customers.

How data analytics and AI/ML can help service providers in data center optimization

Today, data center service providers are leveraging data analytics in various ways to optimize data center operations, reduce costs, enhance performance, reliability and sustainability, and improve service quality for customers. They employ a variety of methods to collect data from colocation, on-premise and edge data centers, which include physical RFID/EFC sensors, server, network and storage monitoring tools, security information and event management (SIEM) systems, configuration management databases (CMDBs), API integration, and customer usage data. The data collected is then fed into a centralized monitoring and analytics platform, which uses visualization tools, dashboards, and alert systems to analyze the data and generate insights.

Furthermore, by integrating IoT and AI/ML into data center operations, service providers are gaining deeper insights, automating various processes, and making faster business decisions. One of the most critical requirements today is for analytical tools that can help with predictive assessment and accurate decision-making for desired outcomes. This is achieved by diving deep into factors such as equipment performance, load demand curve, overall system performance, as well as intelligent risk assessment and business continuity planning. Selection of the right tools, firmware, and application layer plays a major role in making such an AI/ML platform successful.

The relationship between analytics and automation from the perspective of data centers is rather symbiotic. Data centers are already automating routine tasks such as data cleaning, data transformation, and data integration, helping data center service providers free up resources for more strategic analytics work, such as predictive modeling, forecasting, and scenario planning. In turn, data analytics provides valuable insights that enable data centers to implement intelligent automation and optimization techniques. This may include workload balancing, dynamic resource allocation, and automated incident response.

Here are some of the key areas where data analytics and automation have a significant impact:

• Enhancing operational reliability: Data analytics, AI/ML and automation can enable data centers to ensure optimal performance. This involves using predictive maintenance, studying equipment lifecycles for maintenance, and incident history analysis to learn from past experiences. In addition, AI/ML-driven vendor performance evaluation and SLA management incorporating MTTR and MTBF further strengthen operations. Leveraging these metrics within the ITIL framework helps data centers gain valuable operational insights and maintain the highest levels of uptime.
• Performance efficiency: Data centers consume a substantial amount of energy to power and maintain desirable operating conditions. To optimize services, track hotspots, prevent hardware failure, and improve overall performance, modern data centers analyze data points such as power usage, temperature, humidity, and airflow related to servers, storage devices, networking equipment, and cooling systems. Prescriptive analytics can take this a step further by providing recommendations to optimize utilization and performance.
• Predictive maintenance: Predictive analytics is a powerful technology that uses data to forecast future performance, identify and analyze risks and mitigate potential issues. By analyzing sensor data and historical trends, data center service providers can anticipate potential hardware failures and perform maintenance before they escalate, with advanced predictive analytics enabling them to improve equipment uptime by up to 20%.
• Capacity planning: Businesses today must be flexible enough to accommodate capacity changes within a matter of hours. Data center service providers also need to understand current usage metrics to plan for future equipment purchases and cater to on-demand requirements. Data analytics helps in optimizing the allocation of resources like storage, compute, and networking, while meeting fluctuations in customer needs and improving agility.
• Security and network optimization: Data centers can use analytics to monitor security events and detect vulnerabilities early to enhance their security posture. By analyzing network traffic patterns, data analytics tools help identify unusual activities that may indicate a security threat. They can also monitor network performance, identify bottlenecks, and optimize data routing.
• Customer insights: Data centers collect usage data, such as the number of users, peak usage times, and resource consumption, to better understand customer needs and optimize services accordingly. Analytics helps providers gain insights into customer behavior and needs, enabling them to build targeted solutions that offer better performance and value. For example, through customer-facing report generation, organizations and end-customers can gain valuable insights and optimize their operations. Additionally, analytics accelerates the go-to-market process by providing real-time data visibility, empowering businesses to make informed decisions quickly and stay ahead of the competition.
• Environment sustainability & energy efficiency: Data centers have traditionally consumed significant power, with standalone facilities consuming between 10-25 MW per building capacity. However, modern data center IT parks now boast capacities ranging from 200-400+ MW. This exponential growth has led to adverse environmental impacts, such as increased carbon footprint, depletion of natural resources, and soil erosion. Using AI/ML, performance indicators like CUE (Carbon Utilization Effectiveness), WUE (Water Utilization Effectiveness), and PUE (Power Utilization Effectiveness) are analyzed to assess efficiency and design green strategies, such as adopting renewable energy, implementing zero water discharge plants, achieving carbon neutrality, and using refrigerants with low GHG coefficients. For example, AI/ML modeling can help data centers achieve 8-10% saving on PUE below design PUE – helping to balance environmental impact with efficiency better than what was originally planned.
• Asset and vendor performance management: The foundation of the AI/ML platform lies in the CMDB, which comprises crucial data, including asset information, parent-child relationships, equipment performance records, maintenance history, lifecycle analysis, performance curves, and end-of-life tracking. These assets are often maintained by OEMs or vendors to ensure reliability and uptime. AI/ML aids in developing availability models that factor in SLA and KPI management. It can provide unmatched visibility into equipment corrections, necessary improvements, and vendor performance. It can also help enhance project models for expansion build-outs and greenfield designs, accurately estimating the cost of POD (point of delivery) design, project construction, and delivery.
• Ordering billing and invoicing: AI/ML plays a vital role in enhancing the efficiency and effectiveness of order, billing, and invoicing processes. Its impact spans various stages, starting from responding to RFPs to reserving space and power, managing capacity, providing early access to ready-for-service solutions, facilitating customer onboarding, and overseeing the entire customer lifecycle. This includes routine processes such as invoicing, revenue collection, order renewal, customer Right of First Refusal (ROFR) management, and exploring expansion options both within and outside the current facility.

Selecting the right data analytics solution

The implementation of data analytics and automation through AI/ML requires careful consideration as several parameters, such as data quality and level of expertise play a crucial role in delivering efficient end-results. To succeed, businesses need to choose user-friendly and intelligent solutions that can integrate well with existing solutions, handle large volumes of data, and evolve as needed.

At Sify – India’s pioneering data center service provider for over 22 years, we continuously innovate, invest in, and integrate new-age technologies like AI/ML in operations to deliver significant and desired outcomes to customers. We are infusing automation led by AI/ML in our state-of-the-art intelligent data centers across India to deliver superior customer experiences, increased efficiency, and informed decision-making, resulting in more self-sustaining and competitive ecosystems. For example, leveraging our AI/ML capabilities has been proven to lead to over 20% improvement in project delivery turnaround time. Our digital data center infrastructure services offer real-time visibility, measurability, predictability, and service support to ensure that our customers experience zero downtime and reduced Capex/Opex.

How do Sify’s AI-enabled data centers impact your business?

• Person-hour savings: Automation of customer billing data and escalations resulting in up to 300 person-hour savings in a month.
• Reduction in failures: Predictive approach for maintenance and daily checks yielding up to 20% reduced MTBF, 10% improved MTTR, and 10% reduction in unplanned/possible downtime.
• Cost savings: Improved power/rack space efficiency and savings on penalties to deliver up to 8% reduction in customer penalties by maintaining SLAs and 10% reduction in operating cost.
• Compliance adherence: Meeting global standards and ensuring operational excellence and business continuity.

To know more about our world-class data centers and how they help enterprises expect positive business outcomes, visit here.