Operations | Monitoring | ITSM | DevOps | Cloud

Legacy logging solutions simply couldn’t keep up with the complex, hyperconverged regional infrastructure at Civo, a Kubernetes service provider that enables users to launch k8s clusters within 90 seconds. “With our infrastructure and application deployment getting more complex and more distributed, we needed our logging solution and our entire observability stack to scale up with our needs,” said Anaïs Urlichs, Site Reliability Engineer at Civo.

Application Performance Monitoring has been a popular concept among developers and companies alike. APM data has helped product teams increase their growth and revenue manifold. Whether it is an issue affecting the availability of a service or a trend that suggests an incoming increase in user engagement, monitoring has always helped organizations get the best out of their product strategies.

Here at LogicMonitor, we’re really big on extensibility and automation. We’re constantly adding to our catalog of monitoring coverage and ensuring that setup is as simple as possible. We also monitor almost any data you can expose on a network. People have done way more with LogicMonitor than we would have ever imagined, and I’m extremely excited to announce our next step in that commitment to extensibility and automation.

Ask any software engineer about the best way to do something and they’ll likely tell you “it depends.” Every project and team works differently and has specific concerns, requirements, and opinions, adding complexity on top of the technical and operational complexity of software development. The challenge lies in managing the work and emergent complexity while staying abreast of industry best practices in a way that fits our teams’ particular processes and environments.