Operations | Monitoring | ITSM | DevOps | Cloud

If you are a part of an engineering organization it is highly likely that you have heard the latest buzz words “containers”, “docker” and “kubernetes”. Today we will try to demystify these terms for you. Sit tight, it's going to be very interesting.

This week, Hashicorp announced the launch of their new product - Waypoint - aiming to simplify the way developers build and run apps in the Cloud and on any platform (like Kubernetes). The project is open source and is well adopted by the dev community. As CEO and co-founder of Qovery, I am enthusiastic to see this product live. At Qovery, we believe in making the developer’s life easier, and seeing big Open Source companies moving in this direction is a good thing for all of us.

While auditing the Kubernetes source code, I recently discovered an issue (CVE-2020-8563) in Kubernetes that may cause sensitive data leakage. You would be affected by CVE-2020-8563 if you created a Kubernetes cluster over vSphere, and enabled vSphere as a cloud provider with logging level set to 4 or above. In that case, your vSphere user credentials will be leaked in the cloud-controller-manager‘s log.

In this article, you will learn how to monitor kube-proxy to ensure the correct health of your cluster network. Kube-proxy is one of the main components of the Kubernetes control plane, the brains of your cluster. One of the advantages of Kubernetes is that you don’t worry about your networking or how pods physically interconnect with one another. Kube-proxy is the component that does this work.

Debugging and resolving incidents in nodeless environments can be difficult, time-consuming, and most of all, frustrating. Exporting your logs from these ephemeral and disparate services to a centrally aggregated log is a great way to correlate information, quickly resolve incidents, and make your life a little easier.

15th October 2020: Canonical today announced autonomous high availability (HA) clustering in MicroK8s, the lightweight Kubernetes. Already popular for IoT and developer workstations, MicroK8s now gains resilience for production workloads in cloud and server deployments. High availability is enabled automatically once three or more nodes are clustered, and the data store migrates automatically between nodes to maintain quorum in the event of a failure.

Hello everyone, I’m Saiyam – amongst other things I’m a CNFC Ambassador, an Influx ACE, and as of the last few weeks, now Director of Technical Evangelism here at Civo. With Civo being a fast-paced start-up in an even faster moving industry, everyone here has a “all-hands-on deck” approach and wears many hats. My role is no exception. One of the early tasks that I am getting to grips with (in line with our focus on community) is revamping our suggestions section.

The network is foundational to distributed application environments. A distributed application has multiple microservices, each running in a set of pods often located on different nodes. Problem areas in a distributed application can be in network layer connectivity (think network flow logs), or application resources unavailability (think metrics), or component unavailability (think tracing).