Operations | Monitoring | ITSM | DevOps | Cloud

Deployment is not the end of shipping your application. From time to time, you will get errors that you will need to attend to. Without a good method of catching errors or logs in general, you could end up with uncaught issues that might cost you valuable customers in the process. In this article, you will learn how to catch logs for an application deployed on Fly.io. You will learn how Fly.io logging works, then learn ways to handle logs natively on the platform.

Coralogix Real User Monitoring has spent years collecting full-fidelity user sessions: every session and event processed in stream, without sampling and without prior indexing, at rest in cloud object storage you own. Today that data does a second job. Product Analytics brings heatmaps, funnels, and pathways to the RUM sessions you already send, with no second SDK to install. One dataset now answers what your users did and why it happened.

An incident has hit your product. I've been there: you're context-switching between hosting, CI/CD, codebase, AppSignal for monitoring, and whatever else your product depends on to minimize downtime and potential losses. You're trying to piece everything together, but it takes a lot of time, and that's something you don't have. AI agents connected to your tooling and your monitoring data via MCP free up that time for you.

StatusGator now monitors more than 10,000 services. Cloud platforms, AI tools, payment providers, communication apps, developer infrastructure, school software, business SaaS: if your team depends on it, there is a good chance we are already checking its status page. We started in 2015 with a few hundred providers and one idea, that nobody should have to keep multiple vendor status pages bookmarked to find out why the office suddenly cannot log in.

From infrastructure health to end-user experience.

Coralogix has spent years building metrics infrastructure that handles high cardinality and high dimensionality without flinching, with governance, usage visibility, and cost optimization built into the platform, and recognized industry delivery to show for it. Today that infrastructure takes its biggest step yet. We have rebuilt the metrics engine from the ground up, with a new pricing model, a set of new capabilities, and a tripled fair usage allowance to enjoy them in.

FinOps spent a decade making cloud spend predictable, and teams now point the same discipline at a workload that behaves nothing like a virtual machine. In the FinOps Foundation’s State of FinOps 2026 survey, drawn from 1,192 practitioners representing more than $83 billion in annual cloud spend, 98% now manage AI spend, up from 31% two years earlier. The main driver for this was agents.

Most teams can describe their GDPR obligations. Far fewer can produce the records that prove they met them. That gap is where GDPR compliance gets hard. The regulation reads as legal text, so it usually gets treated as legal work. About a third of it lands on the IT team instead: records of what you process, security controls that have to hold up, and deadlines measured in hours. Nobody asks for that evidence on a quiet week.