Operations | Monitoring | ITSM | DevOps | Cloud

In late 2012, we were getting somewhere with this unnamed side project that was supposed to replace our overpriced New Relic subscription. If we wanted to tell the world about it, it needed a name. This is a brief history of how we came up with the name, and how we landed appsignal.com. Besides being co-founder, I was also "the name guy” at 80beans, the consultancy where AppSignal was born; you know, the person that comes up with fun names and finds out the.com has been squatted.

We've improved our core features to help you debug issues more efficiently and effectively. This article will walk you through the changes we've made to our Error Tracking, Performance Monitoring, Anomaly Detection, and Log Incidents features that enable you to gain the insights you need to dive deep into issues quicker than ever before.

In the world of Kubernetes, where applications are encapsulated within containers and seamlessly distributed across diverse clusters of computers, the enigmatic Kubernetes scheduler takes centre stage. Think of it as the orchestra conductor of your Kubernetes cluster, orchestrating a symphony of resources to ensure seamless operations. This unassuming yet powerful component leverages a sophisticated algorithm to perform the intricate dance of optimizing resource allocation.

In the dynamic landscape of modern infrastructure and multi cloud environments, observing and understanding system performance requires a new breed of tools—ones that keep pace with the 'living' nature of modern infrastructure. This is the inflection point at which Netdata steps in, and aims to bring a fresh perspective to monitoring.

Redis, as an in-memory data store, excels at providing high-speed data access and manipulation. However, without effective monitoring, the potential advantages of Redis can be compromised due to performance bottlenecks, scalability issues, and resource constraints. By closely scrutinizing key metrics, Redis monitoring allows you to proactively detect and address potential problems, ensuring the stability, reliability, and high-performance operation of your Redis environment.