Operations | Monitoring | ITSM | DevOps | Cloud

Together with the community, JFrog pioneered what we now know as DevOps with a focus on binaries (aka software packages, artifacts or images). A decade ago, no one thought binary management would be a thing — now it’s a standard most companies can’t live without. Back then, we said software universality would be necessary, and now others follow suit. People thought cloud would be a single-vendor decision.

Continuous integration (CI) and continuous delivery or deployment (CD) cover the process of automatically merging, building, and testing code changes ready for release, and – in the case of continuous deployment – releasing those changes to users. If you’re developing software for others to use, you’ll need to go through some form of build and test process before you make your latest changes available.

Over the last several years, systems architects have had to make sure their systems are cloud native, with applications that are optimized for scalable cloud technology infrastructure. In today’s environment, you should be asking whether your solutions are cloud nimble as well. For the modern enterprise, cloud computing is now the default model for applications, storage, and compute.

There are many benefits to working with JFrog Artifactory as your private Docker registry, allowing you to store, share and deploy your binary artifacts in a single source of truth. This blog post will focus on using Artifactory in Kubernetes. Specifically, we’ll walk through the steps for configuring Kubernetes to pull images from Artifactory and most importantly – scale up! It will also describe how you can enable cluster-wide authenticated access to Artifactory behind the scenes.

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.