During the next two weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!
Codefresh is excited to partner with Atlassian on their new Open DevOps launch. Codefresh is offering native support for connecting the two platforms and giving better visibility on deployments and features of each deployment for our mutual customers. At the heart of this integration is the Codefresh App; which can be found on the Atlassian Marketplace. Simply define Codefresh as the CI/CD partner that will connect to Atlassian’s DevOps API.
Today, I am excited to share that we secured $188M in a new funding round, at a valuation of $1.19B (read more here). At the outset, I want to thank our employees, partners, investors and most importantly, our customers for this important milestone. The funding follows a year of unmatched innovation that led to accelerated revenue growth, installed base growth, and rapid community adoption of our open source projects.
The CVE-2021-25735 medium-level vulnerability has been found in Kubernetes kube-apiserver that could bypass a Validating Admission Webhook and allow unauthorised node updates. The kube-apiserver affected are: You are only affected by this vulnerability if both of the following conditions are valid: By exploiting the vulnerability, adversaries could bypass the Validating Admission Webhook checks and allow update actions on Kubernetes nodes.
As applications move from monolithic architectures to microservices-based architectures, DevOps and Site Reliability Engineering (SRE) teams face new operational challenges. Microservices are updated constantly with new features and resource managers/schedulers (like Kubernetes and GKE) can add/remove containers in response to changing workloads. The old way of creating alerts based on learned behaviors of your monolithic applications will not work with microservices applications.
Docker is a power tool for deploying applications or services, and there are numerous Docker orchestration tools available that can help to simplify the management of the deployed containers. But what if you are wanting to deploy a small number of services and not wanting to undertake setting up and managing another application stack just to run a handful of containers. I will cover how I deployed a handful of services on a single Docker host.
One of the greatest strengths of containers is the ability to spin more of them up quickly. As the volume of traffic to your application increases, you can create more application containers on the fly to handle it, in almost no time at all. Kubernetes ships with autoscaling baked in, giving you the power to scale out when the system detects an increase in traffic—automatically!
Large portions of software development budgets are dedicated for testing code. A new component may take weeks to thoroughly test, and even then mistakes happen. If you consider software defects as security issues then the concern goes well beyond an application temporarily crashing. Although even minor bugs can cost companies a lot of time to locate the bug, resolve it, retest it in lower environments, then deploy it back to production.
