Operations | Monitoring | ITSM | DevOps | Cloud

Balancing Data Locality, Data Sovereignty, and Data Replication

Mar 20, 2026 By Datadog In Datadog
Modern distributed systems must simultaneously respect where data must live, where it should live for performance, and where it needs to live for resilience. Data sovereignty and residency requirements increasingly affect technical design decisions, not only in regulated industries, but in any global product that must navigate regional expectations, latency constraints, cost structures, and operational realities.
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canonical

Introducing MicroCloud Cluster Manager

Mar 20, 2026 By Miona Aleksic In Canonical
Today, we’re excited to introduce the beta release of MicroCloud Cluster Manager, a new way to discover, organize, and operate your MicroCloud environments from a single, unified interface. MicroCloud is an open source cloud platform that makes it simple to create lightweight, resilient clusters anywhere. As teams scale from one cluster to many, visibility and coordination quickly become essential. Cluster Manager is built to solve exactly that.
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onpage

Best On-Call Management Software for Teams that Need Faster Response Time

Mar 20, 2026 By Ritika Bramhe In OnPage
Teams running modern infrastructure can’t afford slow incident response. On-call management software ensures the right person is alerted instantly, incidents are escalated intelligently, and downtime is minimized. This guide breaks down the best on-call management software for 2026, helping teams choose the right platform based on their specific use case, response requirements, and operational complexity.
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grafana

How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry

Mar 20, 2026 By Ishan Jain In Grafana
Moving a large language model (LLM) application from a demo to a production‑scale service raises very different questions than the ones you ask when playing with an API key in a notebook. In production, you have to answer: How much is each model costing us? Are we keeping latency within our service‑level objectives? Are we accidentally returning hallucinations or toxic content? Is the system vulnerable to prompt‑injection attacks?
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grafana

Observe your AI agents: Endtoend tracing with OpenLIT and Grafana Cloud

Mar 20, 2026 By Ishan Jain In Grafana
In another post in this series, we discussed how to instrument large language model (LLM) calls. This can be a good starting point, but generative AI workloads increasingly rely on agents, which are systems that plan, call tools, reason, and act autonomously. And their non‑deterministic behavior makes incidents harder to diagnose, in part, because the same prompt can trigger different tool sequences and costs.
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grafana

Monitor Model Context Protocol (MCP) servers with OpenLIT and Grafana Cloud

Mar 20, 2026 By Ishan Jain In Grafana
Large language models don’t work in a vacuum. They often rely on Model Context Protocol (MCP) servers to fetch additional context from external tools or data sources. MCP provides a standard way for AI agents to talk to tool servers, but this extra layer introduces complexity. Without visibility, an MCP server becomes a black box: you send a request and hope a tool answers. When something breaks, it’s hard to tell if the agent, the server or the downstream API failed.
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grafana

Instrument zerocode observability for LLMs and agents on Kubernetes

Mar 20, 2026 By Ishan Jain In Grafana
Building AI services with large language models and agentic frameworks often means running complex microservices on Kubernetes. Observability is vital, but instrumenting every pod in a distributed system can quickly become a maintenance nightmare. OpenLIT Operator solves this problem by automatically injecting OpenTelemetry instrumentation into your AI workloads—no code changes or image rebuilds required.
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Incident.io

How to migrate your paging tool without breaking your team

Mar 20, 2026 By Article In Incident.io
Most engineering teams don’t migrate their on-call and paging systems unless absolutely necessary. No matter how painful their current solution, it's one of those changes that people put off for as long as possible because the cost is real. The disruption, the retraining, the risk of missing a critical page during the transition. It's not something you do on a whim.
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What is Kubernetes? Explained in 2 Minutes

Mar 20, 2026 By Sysdig In Sysdig
What is Kubernetes, and how do companies like Netflix handle millions of users without crashing? In this quick guide, we break down Kubernetes in simple terms — from containers to pods, nodes, and the control plane — so you can understand how modern cloud applications stay reliable and scalable. Kubernetes acts like an air traffic controller for your apps, automatically managing where they run, restarting them if they fail, and balancing traffic across machines. Whether you're new to cloud computing or brushing up on DevOps basics, this video gives you a clear, beginner-friendly explanation.
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