The effects of climate change mean we’re increasingly seeing black swan weather events impacting our working lives. From wildfires and hurricanes to the ever-present threat of earthquakes, 2021 has seen its share of crises. This obviously raises serious questions for companies about the safety of their workforces. As a global company, PagerDuty has employees across the world. When a disaster strikes, everyone needs to have the necessary training, resources and tools to act.
Giving developers a portal they can use to understand application dependencies, ownership, and more has never been more critical. As you scale your Kubernetes adoption, you want to make sure you avoid service sprawl, and if not done early, application support will become a nightmare.
Monitoring a website can already mean hundreds of checks on all sorts of different pathways, URLs, and other services. Monitoring multiple websites is an ever growing web that can make you start to feel like you’re trapped in an episode of Law & Order. The format of the show (I am talking about the real Law & Order, not its offshoots) involves the crime from occurrence to trial outcome and every beat and interrogation in between.
This is the second post in a four-part series on why Open Source Puppet users have made the decision to move to Puppet Enterprise. If you’re considering making this change, read on for pros and cons! As more and more businesses are moving from Open Source Puppet (OSP) to Puppet Enterprise (PE), they are experiencing multiple benefits. In this blog series, we’re exploring the biggest benefits we hear from customers about their experience moving from OSP to PE.
Redis is a simple – but very well optimized – key-value open source database that is widely used in cloud-native applications. In this article, you will learn how to monitor Redis with Prometheus, and the most important metrics you should be looking at. Despite its simplicity, Redis has become a key component of many Kubernetes and cloud applications. As a result, performance issues or problems with its resources can cause other components of the application to fail.
I’ve spent most of my career working with tech in various forms, and for the last ten years or so, I’ve focused a lot on building, maintaining, and operating robust, reliable systems. This has led me to put a lot of time into researching, evaluating, and implementing different solutions for automatic failure detection, monitoring, and more recently, observability. Before we get started: What is observability?
