Operations | Monitoring | ITSM | DevOps | Cloud

Cloud has become the backbone of digital enterprises, but managing its cost footprint is proving increasingly difficult. With multiple providers, diverse pricing models, and ever-changing workloads, organizations often find themselves facing spend leakage and unanticipated overruns. The stakes are high—not only in terms of IT budgets but also in ensuring cloud resources deliver maximum business value.

Incident management is a high-stakes function. IT operations teams and SRE teams may play different roles, but when a priority incident surfaces, it is often all-hands-on-deck to ensure it is resolved in minimal time. That’s because of the high impact of incidents-if not resolved in time, they can cascade and impact other IT systems, leading to downtime, business disruptions, monetary losses, and impacting brand value, compliance, and regulatory rules.

The IT landscape in enterprises today is complex, hybrid and dynamic and the complexity is also increasing rapidly due to increased containerization, microservice-based apps, and the overall scale of digital operations.

In the previous post, What is OpenTelemetry?, we went over the What, Why, and the How of OpenTelemetry. We also went over the telemetry data lifecycle (data generation à collection à storage à usage) and how telemetry data (MELT) could be put to use to troubleshoot a representative web application scenario.

 A major studio drops its new episode at midnight. Millions are queued to watch. Push notifications hit, the app surges in traffic, and then timeout. Spinning wheels. Frozen screens. Social media lights up. Customers don’t just notice they remember. For today’s communications, media, and information (CMI) brands, digital reliability is the product. Viewers, subscribers, and enterprise users aren’t comparing your uptime to industry benchmarks.

In recent months, there has been growing discussion among business and IT leaders around the rapid expansion of SaaS solutions. McKinsey’s recent report on the current state of SaaS notes that while the industry has experienced a slowdown, largely driven by economic factors such as rising interest rates and reduced IT spending by enterprises, it has seen a decade of rapid growth, with the market being valued at approximately $3 trillion in 2022.

Imagine if degrading network performance—not just bad code—disrupted your live stream during a high-profile event. Customers start flooding support lines. Social media lights up. Your NOC teams scramble to identify the root cause amid fragmented systems. The outage impacts not only your broadcast, but also subscriber logins, ad delivery, and mobile apps. Advertisers want refunds. Executives ask, “Why didn’t we see this coming?”

The aspirational target state for a cognitive system is to “take responsibility” for a domain (e.g., an autonomous car). To reach that level of sophistication, the system must achieve high levels of maturity simultaneously along two dimensions: Reasoning ability and Automation ability.