Operations | Monitoring | ITSM | DevOps | Cloud

This is the first part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. Hey there! Here is my take on what synthetic monitoring means and why it’s awesome! I think it’s a very complicated word for a very straightforward concept. In fact, I am convinced, that once you've used it, you will never want to live without it.

Internally, VictoriaMetrics makes heavy use of sync.Pool, a data structure built into Go’s standard library. sync.Pool is intended to store temporary, fungible objects for reuse to relieve pressure on the garbage collector. If you are familiar with free lists, you can think of sync.Pool as a data structure that allows you to implement them in a thread-safe way.

Site Reliability Engineers (SREs) use automation and orchestration capabilities to scale security and performance, ensuring sites are reliable and efficient. Site Reliability Engineering (SRE) can be applied to a wide range of use cases and industries, where software systems and services are critical to business operations.

Steadybit is a software reliability platform that uses chaos engineering and fault injection to help organizations improve the stability and performance of their applications. By allowing customers to simulate turbulent scenarios in a controlled environment, Steadybit enables you to identify and mitigate potential system issues to reduce downtime and improve resilience.

Although FireHydrant has spent five years focused on what happens after your team (erg, I mean service 🙄) gets paged, the topic of alerting often comes up in discussions with our community. People are tired of paying big bucks for software that’s expensive, bloated, and hasn’t seen much innovation. Clearly, there’s a problem here – and we’re tackling it head on.

Complete guide to monitor Cloudflare workers using Prometheus Exporter.

I recently delved into the idea of using labels within Prometheus to craft objects and hierarchies where none initially existed. Check out that piece here. The essence was harnessing the prowess of OTEL to achieve more, faster. The ambition? Transform these abstract virtual objects and integrate them into SquaredUp's knowledge graph, thereby unlocking the potential of data mesh and correlation.

Working in the cloud is certainly convenient, but the convenience comes at a price. With more and more organizations transitioning to the cloud, and a rise in preference towards cloud-native applications, hosting most, if not all the components of your business in the cloud is becoming increasingly common.

Fault incidents are inevitable. They occur in any large-scale enterprise IT environment, especially when: In fact, research indicates, more than half (50%) the leaders in tech and business organizations consider the complexity of their data architecture a significant pain point. From an end-user perspective, businesses must overcome complex architecture in order to ensure service delivery and continuity.

Traditional monitoring methods become inefficient as organizations shift from legacy software systems to complex cloud-native architectures. This transition renders these methods less effective, as they no longer provide the critical insights needed. In response, observability engineering has emerged as an important discipline, offering a more comprehensive understanding of modern software systems. This article will take you through the definition, importance, and processes of observability engineering.