In this article, we’ll cover the three main challenges you may face when maintaining your own Prometheus LTS solution. In the beginning, Prometheus claimed that it wasn’t a long-term metrics storage, the expected outcome was that somebody would eventually create that long-term storage (LTS) for Prometheus metrics. Currently, there are several open-source projects to provide long-term storage (Prometheus LTS). These community projects are ahead of the rest: Cortex, Thanos, and M3.

Securing a cloud-native environment, such as SUSE Rancher, requires unique considerations. New abstractions like containers, plus the dynamic nature of a Kubernetes orchestrated environment can hamper visibility, especially for legacy tools that aren’t designed for containers and cloud. To help, Sysdig and SUSE have launched a SUSE One Partner Solution Stack designed to not only showcase our joint solution, but also to provide easy ways for you to get started.

Monitoring MySQL with Prometheus is easy to do thanks to the MySQL Prometheus Exporter. MySQL doesn’t need an introduction – it’s one of the most used relational databases in the world, and it’s also open-source! Being such a popular database means that the community behind it is also huge. So don’t worry: you won’t be alone.

After trying several Prometheus exporters, I think I’m ready to fight the final boss: Monitoring a Windows cluster with Prometheus. I need a dashboard where I can monitor all the Windows machines in a single pane of glass. Let’s do it.

In this article, you’ll learn, through an example, how to configure Keda to deploy a Kubernetes Horizontal Pod Autoscaler (HPA) that uses Sysdig Monitor metrics. Keda is an open source project that allows using Prometheus queries to scale Kubernetes pods. In Trigger a Kubernetes HPA with Prometheus metrics, you learned how to install and configure Keda to create a Kubernetes HPA triggered by a standard Prometheus query.

In this article, you’ll learn how to configure Keda to deploy a Kubernetes HPA that uses Prometheus metrics. The Kubernetes Horizontal Pod Autoscaler can scale pods based on the usage of resources, such as CPU and memory. This is useful in many scenarios, but there are other use cases where more advanced metrics are needed – like the waiting connections in a web server or the latency in an API.

Welcome to another monthly update on what’s new from Sysdig! Happy Janmashtami! Shanah Tovah! 中秋快乐! With lockdown lifting by varying degrees across the world, we hope you had a safe but pleasant holiday! It has certainly been long overdue. Here at Sysdig, we celebrated Labor Day in the USA with an extended weekend and a well being day for the team.

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.

In this blog, we will cover the various requirements you need to meet to achieve NIST 800-53 compliance, as well as how Sysdig Secure can help you continuously validate NIST 800-53 requirements for containers and Kubernetes. NIST 800-53 rev4 is deprecated since 23 September 2021 Read about the differences between versions down below →

Let’s build a smart gardening system with Prometheus and a Raspberry pi. Having plants at home can reduce your stress levels and make your home look more delightful. Seeing your indoor oasis growing gives us a sense of accomplishment and makes us feel proud… until you see that first brown leaf. That’s when you start doubting your green fingers.