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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

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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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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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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VictoriaMetrics

Benchmarking Kubernetes Log Collectors: vlagent, Vector, Fluent Bit, OpenTelemetry Collector, and more

Mar 20, 2026 By Vadim Alekseev In VictoriaMetrics
At VictoriaMetrics, we built vlagent as a high-performance log collector for VictoriaLogs. To validate its performance and correctness under a real production-like load, we developed a benchmark suite and ran it against 8 popular log collectors. This post covers the methodology, throughput results, resource usage, and delivery correctness. Collectors under the test: We’ve made all benchmark configurations and source code public, so you can reproduce and verify the results independently.
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