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.

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.

Spot Ocean functions as an autopilot for the Kubernetes data-plane, as it delivers container-driven autoscaling to continuously monitor and optimize your cloud infrastructure for the cluster. Positioned at a busy crossroads in your application deployment pipeline, Ocean generates and maintains data in several manners/formats – data which is valuable when monitoring the containerized environment.

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.

Arm processors have become increasingly popular in recent years, providing energy-efficient, cost-effective processing power to both mobile and cloud computing ecosystems. As a part of this growth, more and more organizations are choosing to leverage the many benefits of Arm-based architectures for their containerized workloads. Today, Google Cloud announced its Arm-based Tau T2A virtual machines (VMs), which you can also use to run workloads in Google Kubernetes Engine (GKE).

As announced in past blog posts, Kubewarden has 100% coverage of the deprecated, and soon to be removed, Kubernetes PSPs. If everything goes as expected the PSPs will be removed in Kubernetes v1.25 due for release on 23rd August 2022. The Kubewarden team has written a script that leverages the migration tool written by AppVia, to migrate PSP automatically. The tool is capable of reading PSPs YAML and can generate the equivalent policies in many different policy engines.

Some people spend hours on a spreadsheet and call themselves “Excell Ninja” here at Qovery; we spend hours on our console because, in case you don’t know yet, we test and deploy using Qovery for Qovery. After a year of using our console almost every day, I started to make a list of all the small tips and tricks that I was able to gather, and because sharing is caring, here are my top three tips to use on Qovery.

Kubernetes has quickly become the standard container orchestration technology for developers and companies who want to deploy at scale, iterate quickly, and manage a large number of applications and services. At Grafana Labs, we recognized the need for something more powerful for our users to be able to successfully keep an eye on everything happening inside their clusters.

So, you’re looking for the right instance type for your public cloud workload, but how do you decide? Major cloud providers such as Amazon Web Services (AWS), Microsoft Azure Cloud and Google Cloud Platform (GCP) now offer such a large catalog of IaaS instances that it can become difficult to make sense of it all.

According to recent surveys and reports on the industry, Kubernetes and containers are more popular than ever. Containers and serverless functions are being mainstream and ubiquitous – with a more than 300% increase in container production usage in the past 5 years. This trend is especially true for large organizations, which are often using managed platforms and services.