Codefresh has recently launched a new certification program that offers organizations and the open-source community a fast track to learning GitOps and how you can apply it to new and existing applications and infrastructure. These certificates can be earned through 3 courses and a final exam.

The discovery of the Log4Shell vulnerability in the ubiquitous Apache Log4j package is a singular event in terms of both its impact and severity. Over 1 million attack attempts exploiting the Log4Shell vulnerability were detected within days after it was exposed, and it may take years before we see its full impact.

Codefresh has a very clear mission to enable enterprise teams to confidently deliver software at scale. We are incredibly grateful to our customers who are succeeding with deployments to the cloud, on-prem, and at the edge. Codefresh is powering critical software delivery for some of the world’s most popular gaming and media companies as well as regulated environments in hospitals, at banks, and for defense. So this post is dedicated to all of you who have enabled Codefresh to grow!

GitOps has become a buzzword. Developers love it, because it folds DevOps into Git, a frequently used and familiar tool. Using one tool to manage multiple DevOps activities sounds fantastic, and it can be helpful for many. The truth is GitOps has limits. In this article, we explore DevOps and GitOps, compare their similarities and differences, and examine how their principles can work together to support your software development goals.

Accelerating software distribution is a critical part to enabling enterprise delivery at scale. Throughout the SDLC processes, we’re required to continuously distribute software packages — either to remote development teams as part of CI cycles, to production environments or devices for deployments, or for public downloads by your developers or partners ecosystem. The key attributes of Distribution workflows create network challenges around bandwidth, resiliency and availability.

Accelerating software distribution is a critical part of the modern DevOps stack. Modern application development has created new challenges around distribution at scale, leading organizations to rethink their software distribution infrastructure.

This article discusses the background, impact, identification, and mitigation of Log4Shell, one of the worst vulnerabilities to arise in the past decade. Here at Cloudsmith, security and privacy are paramount. As a hosted package management service helping customers distribute millions of packages worldwide, we're part of the story for securing software supply chains. Read on further to see how the vulnerability works and what you can protect yourself and your users.

When your development team is under pressure to keep releasing new functionality in order to stay ahead of the competition, the time spent on quality assurance (QA) activities can feel like one overhead that you could do without. After all, with automated CI/CD pipelines enabling multiple deployments per day, you can get a fix out pretty quickly if something does go wrong – so why invest the time in testing before release? The reality is that scrimping on software testing is a false economy.

Marshmallow is a Python library that converts complex data types to and from Python data types. It is a powerful tool for both validating and converting data. In this tutorial, I will be using Marshmallow to validate a simple bookmarks API where users can save their favorite URLs along with a short description of each site.