Gain insights, ensure high performance and availability of your business-critical applications
Break the barrier of siloed monitoring and get on to Full Stack Observability
As the digital ecosystem evolves, a single user journey often involves interactions with multiple applications. The applications interact with the underlying, disparate operating systems, hardware for storage, computing and network to function seamlessly. In such a complex technological landscape, ensuring the availability and performance of your business services is paramount.
A siloed approach to monitoring individual elements does not provide sufficient insights for assured performance and availability of the whole system. Comprehensive observation and correlation in real time at a system level, across the complete stack, is the need of the hour. In such a context, the implementation of AIOps enables businesses to correlate data, identify unusual patterns and avoid potential challenges proactively.
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Introducing Sify’s InfinitFSO Services
Sify’s InfinitFSO leverages advanced AI and machine learning capabilities to provide real-time, 360-degree observability across the full stack, allowing you to stay ahead of potential issues and remediate them before they impact your critical applications. InfinitFSO meticulously collects MELT (Metrics, Events, Logs, and Traces) data at each “element” level, be it network, compute, application, security, or storage.
Using this rich data, Sify’s proprietary algorithms and tools, InfinitFSO constructs a multi-domain service graph that illuminates the intricate relationships between your applications and the underlying infrastructure. The service graph becomes the basis for end-to-end observability.
AIOps is heavily used to automate real-time data analysis, providing event correlation, service monitoring, and performance optimization. It can help identify unusual patterns, accelerating anomaly detection and root cause analysis leading to better performance and availability of your business-critical applications.
Key outcomes
Proactive assurance
- Continuous assurance of outcomes
- Business-level service assurance & dashboards
- Predictive analytics and insights
Improved metrics
- Reduce total cost of ownership (TCO) by 50%
- Improve time to value (TTV) by 70%
Event correlation/ noise reduction
- Multi-source integration: cloud, Edge, DC
- Pull events, metrics, logs and traces
- Enrich with full stack context
- Apply ML and algorithmic correlations
Faster incident resolution
- 2-way collaboration capabilities
- Built-in diagnostics
- Auto-remediate with workflow automation
Faster Root Cause Analysis
- Topology-based root cause analysis and forensics
- Single pane of observability with on-demand ops triage dashboard
Real-time transaction performance visibility
- Transaction volumetrics, including tech/business declines, TAT
- Micro-transaction view based on protocol
Dimensional analysis
- 360-degree view of performance by issuer/acquirer, aggregator ecosystem entities
Segmentation by lead indicators
Near-real-time notifications
- Static and dynamic baseline-driven notifications on any lead indicator
- Anomalous behavior-driven notifications and configurable rules
Transaction intelligence
- Extract customer, transaction and entity data to enrich downstream applications
- Long-term data analysis for compliance and reporting
