Operations | Monitoring | ITSM | DevOps | Cloud

Distributed systems open us up to myriad complexities due to their microservices architecture. There are always little problems that arise in the system. Therefore, engineering teams must be able to determine how to prioritize the challenges. Viewing logs and metrics of such systems enables engineers to know the shared state of the system components, thereby informing the decision-making on what challenge needs to be solved most immediately.

With ARM based dev machines and servers becoming more common, it is become increasingly important to build Docker images that support multiple architectures. This guide will show you how to build these Docker images on any machine of your choosing.

Docker is a platform as a service product. With Docker, you can easily deploy applications into Docker containers. Containers are software "packages" that bundle together an application's source code with its libraries, configurations, and dependencies. This helps software run more consistently on different machines. To use Docker containers, you need to understand how Docker networking works. Below, we'll answer the question: "what is Docker network host?". We'll also take a look to see how it works.

Prometheus 2.37 is out and brings exciting news: this is the first long-term supported release. It’ll be supported for at least six months.

In this blog, understand why your pod has OOMKilled errors when provisioning Kubernetes resources and how Speedscale can aid with automated testing. When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release.

My team and I built Qovery to empower DevOps engineers and Developers to better work together - without compromises. In 2022, DevOps engineers need to build reliable infrastructure on top of the best cloud service providers (e.g. AWS, Azure, GCP), dealing with security concerns, productivity, reliability, and many services. DevOps engineers are responsible for a lot of things in an organization. From CI/CD, to the run of the apps in production and the backup of databases.

Today, we are excited to announce support for Amazon CloudWatch Metric Streams. This support will enable our customers to ingest metrics from AWS CloudWatch in real time, increase metric and state fidelity and time to ingestion while decreasing MTTR, and support cloud metrics at scale without the need to customize or re-configure new AWS service metrics. In this blog, we dig deep into.