Operations | Monitoring | ITSM | DevOps | Cloud

In our previous blogs on Capturing Application State and using Ephemeral Containers for Debugging Kubernetes, we discussed the value of being able to deploy specific tools to gather diagnostics for later analysis, while also providing the responder to the incident the means to resolve infrastructure or application issues.

As we announced at Cephalocon 2023 in Amsterdam, Canonical has started to make container images for Ceph available. We received lots of questions at the booth about what it means to the average Ceph user who has or wants to deploy Ceph on Ubuntu. In this blog post, we will cover the benefits to users who are running containerised Ceph on Ubuntu, and specifically how these images can provide an improved security posture.

Cloud and cluster sprawl is a problem affecting numerous organizations, undermining the efforts that led to cloud-native Kubernetes deployments and resulting in wasted resources, inefficient operations, and poor return on investment. The best way to bring cloud and cluster sprawl under control is through centralized multi-cloud and multi-cluster fleet management. There are a number of reasons why the D2iQ Kubernetes Platform (DKP) provides unmatched fleet management capabilities.

According to the recent Datadog report on real world container usage, Redis is among the top 5 technologies used in containerized workloads running on Kubernetes. Redis database is deployed across multi-region clusters to be Highly Available(HA) to a microservices application.

Custom metrics is a key component for many companies. Stock available in warehouses, shopping cart status, number of products sold, and operational status for industrial machines are some of the many KPIs that companies need for their own business tracking purposes. When it comes to custom metrics and observability platforms costs, many companies are struggling to find a good balance between availability, performance, reliability, and costs.

Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring?

A few days ago, I spent about an hour with James Heng (Co-Founder & CTO of Piana) about their journey from the foundation of Piana to being a growing Fintech startup. As you will see in the article, unlike many of our customers, they started with Qovery from the very beginning. In this article, you might be surprised at how fast they were able to have a stable and scalable infrastructure.

Kubernetes is now the de-facto standard for container orchestration. With more and more organizations adopting Kubernetes, it is essential that we get our fundamental ops-infra in place before any migration. In this post, we will learn about leveraging Jenkins and Spinnaker to roll out new versions of your application across different Kubernetes clusters.