At swampUP 2023, JFrog’s annual user conference, Gerard McMahon, Head of Application Lifecycle Management (ALM) Tools and Platforms at Fidelity Investments, shared Fidelity’s cloud migration story and how it supports the overall company philosophy. He explored the company’s focus on ensuring employee satisfaction while delivering great software and value to customers.

GitOps is a set of best practices that build upon the foundation of Infrastructure As Code (IAC) and expand the approach of using Git as the source of truth for Kubernetes configuration. These best practices are the driving force behind new Kubernetes deployment tools such as Argo CD and Flux as well as the Codefresh enterprise deployment platform. Adopting GitOps in a Kubernetes environment is not a straightforward task when it comes to secret management.

Kubernetes stands out as a powerful tool for managing, scaling, and deploying containerized applications. At the heart of Kubernetes lies its service management capabilities, which play a crucial role in facilitating communication between various components within a cluster. In this guide, we delve into Kubernetes services, exploring their types, functionalities, and best practices.

The beauty of deploying SaaS-based applications is that you don’t have to worry about building the infrastructure, hiring engineers to maintain it, staying on top of upgrades or worry about application security. Indeed, these are some of the main benefits you get by using a SaaS offering. However, the world of software is full of trade-offs, so, what do you lose out on?

Since Codefresh launched our GitOps platform and Enterprise version of Argo CD and Argo Rollouts in November 2020, and extended that platform with Argo Workflows in March 2022 we’ve added numerous features, improved installation, management of GitOps instances, improved security, scalability, and so much more. Now, we’re helping our users scale software delivery across environments.

The power of LLMs to solve real-world problems is undeniable, but unfortunately, in some cases, only theoretical. What’s stopping us from getting the most out of OpenAI’s text completion capabilities in production apps? One common problem is the inability to confidently guard against bad outputs in production the way we’re used to doing with non-AI test suites. Let’s go one step deeper. There is no equivalent of code coverage for an LLM.

Progressive delivery is an advanced deployment method that allows you to gradually shift production traffic to a new version with zero downtime. Argo Rollouts is a Kubernetes controller that enables you to perform progressive deployments such as blue/green and canaries on your Kubernetes cluster. At Codefresh, we love Argo Rollouts and have covered several use cases so far such as smoke tests, metrics, config-maps and even performing deployments for multiple microservices.

Cloudsmith Navigator: a free tool designed to help software engineering teams select the best OSS packages for their projects.