Operations | Monitoring | ITSM | DevOps | Cloud

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

VictoriaMetrics at FOSDEM, Cloud Native Days France, and CfgMgmtCamp Ghent

Last week, members of the VictoriaMetrics team, including myself, spoke at three very different but equally important community events: FOSDEM in Brussels, Cloud Native Days France in Paris, and CfgMgmtCamp in Ghent. Each event drew a different crowd with its own expectations, making them a good way to see where open source observability stands today and how VictoriaMetrics is adapting to real-world needs. The talks we gave were snapshots of the problems we are actively working on.

How to run checks on internal services with Grafana Cloud Synthetic Monitoring

Many critical services run inside private networks, where traditional monitoring tools and practices can’t offer full visibility. This makes it difficult to validate service availability and performance before problems impact your users. Synthetic Monitoring — a Grafana Cloud solution that helps you proactively monitor the performance of your applications and services — addresses this gap with a feature known as private probes.

What is DEX Ops?

For decades, IT operations have been built around incidents, SLAs, and ticket closure rates. Success has been defined by how quickly tickets are resolved and whether service levels are met. But the modern digital workplace has changed. Employee productivity, digital adoption, collaboration quality, and business performance depend on far more than ticket metrics. A device that “works” but performs poorly still erodes productivity.

How to Create and Manage Incidents in Uptime.com

Learn how to create and manage incidents on your Uptime.com Status Page to keep your subscribers informed about service disruptions and maintenance events in real-time. In this tutorial, we'll cover understanding incident statuses (Investigating, Identified, Monitoring, Resolved, and more), three ways to create a new incident, configuring incident details and timelines, adding updates with Markdown formatting, managing and editing incidents, notifying Status Page subscribers, and using the REST API for incident management.

What Agentic AI Is Really Made Of (Most People Miss This)

Agentic AI isn’t just an LLM. Without the right context, it gives generic answers. This is the component that makes its decisions actually useful. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

The Architecture Shift Powering Network Observability

If you work in network operations, you know that the only constant is the increasing complexity of the infrastructure you manage. The days of installing a monolithic software package on a single bare-metal server and letting it hum along for years are largely behind you. The software industry has largely shifted toward cloud-native architectures, microservices, and containerization. While these shifts promise agility and scalability, they also introduce significant operational complexity.

A Step-by-Step Look at how Agentic, Autonomous ITOps Resolves Incidents

Agentic, autonomous ITOps improves incident response by carrying context from detection through resolution, reducing noise, delay, and manual coordination. Most IT incidents don’t fail due to missing data. Monitoring systems generate more than enough signals. The problem is that understanding those signals—and deciding what to do with them—happens in fragments. Engineers move between dashboards, logs, tickets, and chat threads, stitching together context by hand.

Move fast, don't break things: Consistent testing standards at scale

Moving quickly is essential for modern engineering teams, but speed without guardrails can introduce hidden risks in testing. As organizations scale, teams often define and apply coverage standards inconsistently across services and repositories. What qualifies as “acceptable coverage” in one project may be completely different in another. Without automated enforcement, untested code can slip through reviews.

Improve test coverage across codebases with Datadog Code Coverage

As codebases grow across many different services, it becomes harder to see what test suites actually cover. AI-assisted development and faster release cycles increase the volume of changes landing in repositories, raising the risk that untested code will make it through to production. To maintain a high standard, teams need clear and scalable visibility across repositories, consistent testing standards, and a way to catch blind spots before they reach users.

Why Monitoring Matters for Modern Hosting Platforms

With all the discussion in the dev community lately about changes made at Heroku, we wanted to use this moment to talk about PaaS (Platform as a Service) providers and how AppSignal can be a vital tool to ensure you're using your app's hosts for everything from optimal performance to lower usage bills.