Operations | Monitoring | ITSM | DevOps | Cloud

Open source website monitoring tools give organizations greater control over how they monitor websites, servers, applications, and infrastructure. They can reduce licensing costs, offer extensive customization, and integrate with existing workflows, but they also require more time to deploy, maintain, and scale than managed alternatives. We’ll compare some of the best open source website monitoring tools available today, from lightweight uptime monitors to enterprise-grade observability platforms.

IT operations teams need more than a shared calendar to manage after-hours incidents. When a server goes down, a network fails, or a critical application becomes unavailable, the right technician needs to be notified immediately. However, managing on-call coverage through spreadsheets, manual call trees, and disconnected notification systems can create gaps in coverage, missed alerts, and delayed incident response.

More and more, we are hearing how artificial intelligence is transforming how we build, secure, and share software. But as AI models become more powerful, questions around openness, security, and digital sovereignty are becoming harder to ignore. Can open models really be controlled? Is AI putting open-source communities under pressure? What does genuine technological independence look like? And who decides who gets access?

Agent-written pull requests need a running environment before anyone can review them. What a full-stack preview environment needs (services, databases, seed data, scoped secrets, cleanup, cost caps), how Vercel, Netlify, Argo CD ApplicationSets, homegrown GitHub Actions + Terraform and Qovery compare, and how to run it on your own cluster for free. Romaric founded Qovery to make Kubernetes accessible to every engineering team.

Set up anthropics/claude-code-action so @claude turns issues into branches and pull requests, then let Qovery preview environments deploy each Claude PR to its own full-stack environment on your Kubernetes cluster, post the URL on the PR, and delete it on merge. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

The query count in our snapshot drawer went blank, and the unit test for that request kept passing. When we went looking in recorded traffic, the API gateway had rejected that request 210 times in a single recording. Every one of those rejections came back as 200 OK. So we searched the rest. We record our own API gateway with Speedscale, and two recording windows from November 3 to 5 (about 38 hours between them) held 1,238 responses with gRPC status INVALID_ARGUMENT. All 1,238 returned HTTP 200.

Recent security disclosures have put the Veeam Management Pack for Microsoft System Center under scrutiny. Security researchers have identified three remote code execution vulnerabilities, including one rated Critical (CVSS 9.3). According to Veeam’s security advisory, versions 9.1 and earlier in the 9.x product line are affected. Veeam will not provide a separate security fix for these versions.

Our internal AI applications repeatedly send the same system instructions, tool definitions, and conversation history to large language models (LLMs). Prompt caching lets models reuse this data from previously processed input, reducing the cost of handling repeated content. But while investigating our LLM costs, we found applications that weren’t benefiting from caching, even when it appeared to be enabled.