The way we write, ship, and maintain software today has evolved drastically in the last few years. How we consume underlying infrastructure to run our software has matured significantly, in that we have seen a transition from bare metal to virtual machines to containers to micro-VMs.
We are delighted to have a guest blog from Microsoft MVP Martin Ehrnst! Read on for Martin's expert advice on how best to use Azure Lighthouse. Afterwards, head over here to see how you can get a true single pane of glass for all your Azure tenants using SquaredUp's new Lighthouse features. Azure Lighthouse provides a unified management experience across all your customers (and internal) Azure resources. Depending on your background, you might not know why this is so big.
In this blog we’ll share the journey we went on to solve a not-so-easy customer problem: a critical Windows services restart during Puppet agent upgrades. As with most software fixes, it starts with a customer ticket: component DHCP Server service restarts after an upgrade. This troubleshooting journey goes from analyzing Windows installer logs, to using undocumented Windows API calls, and back to the Windows installer logs, until we eventually found a solution.
Grafana v7.3 has been released! With Grafana 7.0, we rounded out our observability story by making tracing a first-class citizen in Grafana alongside metrics and logs. That release included integrations with Jaeger and Zipkin, and earlier this month, we announced our integration with AWS X-Ray. At ObservabilityCON on Monday, we announced Grafana Tempo, our new open source distributed tracing system. Tempo is massively scalable, cost-effective, and easy to operate.
Qovery is excited to announce that we are now a silver member of the Cloud Native Computing Foundation (CNCF) and Linux Foundation (LF). As a CNCF silver member, we are looking forward to contributing to CNCF projects and playing an active role in developing the cloud-native ecosystem. Qovery also recently makes is deployment engine open-source, an abstraction layer library that turns easy apps deployment on AWS, GCP, Azure, and other Cloud providers.
As Kubernetes continues to establish itself as the industry standard for container orchestration, finding effective ways to use a declarative model for your applications and tools is critical to success. In this blog, we’ll set up a K3s Kubernetes cluster in AWS, then implement secure GitOps using ArgoCD and Vault. Check out the source for the infrastructure and the Kubernetes umbrella application here.