Once my new projects are almost ready to share with the team and I can build and test them locally, I’ll need a CI automation tool to test and deploy each release. As a Principal Consultant Declarative Systems, I’ve been recommending JFrog Artifactory to clients looking to bullet-proof their deployments since 2016. After considering different CI solutions, we found that JFrog Pipelines has the best integration with Artifactory which made choosing this platform a no-brainer.

If you shudder thinking about compilation for different platforms, I know the feeling. One of the Java promises, the WORA (Write Once, Run Anywhere) principle, while revolutionizing platform independence, it stopped short of one more step – to be able to deploy anywhere. Personally, I think that WORADA sounds awesome, but I guess before Docker it didn’t occur to people that eliminating “works on my machine” is as simple as shipping your machine.

Get the latest on self-hosted Docker rate limits, cutting through violation noise and new package type support. Without doubt, 2020 has been one of the most challenging years for everyone in recent history, but especially for those in the world of DevOps. JFrog has strived to continue developing and innovating at the same pace, to give our customers an even better end-to-end DevOps experience, and help customers maintain their drum-beat of on-time releases.

Helping software producers achieve compliance with regulatory requirements has been a huge part of our focus at JFrog. That’s why many in the most regulated industries such as banking, finance, manufacturing, and retail are our customers for DevOps. We’re excited to announce that JFrog DevOps Platform solutions – JFrog Artifactory and JFrog Xray – are now available with native deployment templates for customers using AWS GovCloud (US) and Azure Government clouds.

Microservices have changed the way we build applications. Software design has moved from large monolithic applications (which are not really adaptable to changes and improvements) to a collection of small, independent processes infrastructure which is far more suited to adapt to changes in today’s agile world.

Demand for DevSecOps products has been growing strongly, as more companies realize the importance of integrating security into their DevOps pipelines. However, IT and DevOps pros who dive into the DevSecOps market looking for options quickly realize that the number of DevSecOps tools and frameworks is vast and confusing.

When you choose a product, you’re hiring it to do a job. You’ve put out the“Help Wanted” sign for DevOps, and choosing between two well-qualified prospects is high stakes. The hire you make can ensure the enterprise swiftly rises — or sinks. With JFrog and GitHub, you have two of the best candidates. Now judge which is the best fit. Beyond the puzzle of competing features, which one knows how best to get the job done?

NeuraLegion’s VP Oliver Moradov takes us through how you can use JFrog and NeuraLegion to automate AppSec testing in your pipelines. The days of long release cycles are well and truly behind us — it is simply not feasible in our agile development world, with developers delivering software and more features at an unprecedented scale and speed. With DevOps, we have multiple development teams running multiple concurrent builds, which is great, but security testing has not kept up.

After getting a taste of DevOps’ benefits, enterprises naturally seek to widen its adoption. However, the tooling and processes that work for small-scale use cases often fall short when teams try to scale DevOps efforts. You must support all your different teams, toolsets, applications, processes, workflows, release cycles and pipelines — both legacy and cloud native.

Choosing a software solution means checking the right boxes, and being “cloud native” has bubbled to the top of most lists. But cloud native is a box built of boxes of its own. For a CI/CD solution like JFrog Pipelines, cloud native starts by being “born in the cloud” to natively execute in, build for, test in, and deploy to cloud computing environments. But what boxes does a CI/CD solution really need to tick to complete that larger cloud native box?