Operations | Monitoring | ITSM | DevOps | Cloud

For anyone involved in software development, the “infinity loop” is synonymous with DevOps — and rightfully so. We know that software is rarely in a static state for very long. Continuous updates are required to meet the demands of users and to deliver more value, faster than the competition.

Writing clean and efficient code can be time consuming, but with the right tools, it can be much easier. In this blog post, we will explore how to use Copilot for code autocompletion and JFrog Artifactory for your package management.

As software architects and developers, we’re always looking for best practices and lessons learned to enhance application development. Is there a best practice application reference architecture? What are the challenges other developers are also facing in application development?

Amazon Elastic Kubernetes Service — or Amazon EKS — is a managed service that enables you to run Kubernetes on AWS without having to manage your own Kubernetes clusters. The JFrog Platform is available on AWS, making it super simple to deploy applications reliably and predictably, scale them quickly, roll out new features easily, and make the most of hardware resources.

Many processes in our daily software development chain require data analysis in real-time. Ensuring the reliability of the data is vital, since multiple processes may rely on it. While taking into account the performance and fetching only the relevant data that is required for our specific use case.

We all know that artifact management is an important part of our development lifecycle, and if you’re using Jenkins you’ll also need to store your builds and binaries. In the world of DevOps, efficient integration and management of artifacts and dependencies are crucial for successful software delivery. Together, Jenkins and JFrog Artifactory offer a powerful combination for streamlined build processes.

Are you tired of using security tools that generate endless results, making it impossible to identify actual risks? Do you struggle with inefficient prioritization due to a lack of context, making the process of assessing and remediating vulnerabilities a time-consuming nightmare? Look no further than JFrog’s Contextual Analysis, available as part of the “jf audit” command in the JFrog CLI.