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?

Speed and function. Two words to live by when analyzing and optimizing your site, but 2021 comes with the need for an additional word: accessibility. From color blind accessibility in your UI, to increasingly detailed SLAs and speed requirements, where should you be spending your valuable resources to keep your competitive edge? Welcome to the future where, Time is Money, is relevant down to the millisecond.

While the COVID-19 pandemic has disrupted business models around the world, the adoption of modern application and cloud technologies continues to grow. This year’s Continuous Intelligence Report by Sumo Logic provides an inside look into the state of the modern application technology stack, including changing trends in cloud and application adoption and usage by customers, and the impact of COVID-19 as an accelerant for digital transformation efforts.

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.

Today, we are launching a new Grafana Labs product, Grafana Enterprise Logs. Powered by the Grafana Loki open source project for cloud native log aggregation, and built by the maintainers of the project, this offering is an exciting addition to our growing self-managed observability stack tailored for enterprises.

With increasing complexity and workloads, the world of IT operations is constantly evolving to meet the needs of digital-first organizations. Automation, AI and DevOps are intersecting today like never before. A constant influx of new technologies means new terms. Here's our take on the meaning of leading words and phrases in the space right now.

A data center migration into the cloud is often a daunting business initiative that can take years as you transition your existing hardware, software, networking, and operations into a brand new environment. In our roles with Google Cloud’s Professional Services organization, we work side by side with customers to collaboratively architect and enable data center migrations into Google Cloud. Over the years, we’ve participated in multiple migration journeys, and devised a general approach.

When Cory Virok and I started Rollbar in 2012, we knew something was lacking in how software was being built. Developers continue to get better everyday at building applications — the widespread adoption of microservices architectures and open source are evidence of this. But, we realized something was still holding us back. And that was how we track and fix bugs.

As Spot by NetApp’s Cloud Analyzer usage grows, customer feedback is continuously being incorporated and added as new features and functionality. Recently, we have been adding to Cloud Analyzer’s spend analysis features, enabling more filters and options for conducting focused drill-down into spend data.

I’m really pleased to announce Puppet’s new Scaling DevOps Service, a pop-up consultancy inside Puppet designed to advise businesses on how to automate, streamline, and scale DevOps practices. This service was established as a result of conversations with dozens of customers who all stagnated in their DevOps evolution and turned to us for advice on how to scale that wall.