The latest News and Information on DevOps, CI/CD, Automation and related technologies.
With massive adoption of Kubernetes at enterprises worldwide, we are seeing Kubernetes going to new extremes. On the one hand, Kubernetes is being adopted for workloads at the edge and delivering value beyond the data center. On the other hand, Kubernetes is being used to drive Machine Learning (ML) and high-quality, high-speed data analysis capabilities.
2020 has been a year like no other. Our dependency on digital services has reached new heights, leaving many companies trying to accelerate transformation initiatives while simultaneously keeping said digital services running perfectly. The ITOps and DevOps teams on the front line of this struggle are facing more pressure than ever. With the holiday season now in full swing, that strain will only grow as virtual festivities and online shopping pick up the pace.
Every CEO is looking for an edge. Every change in IT — whether we’re talking about the move away from company owned data centers to VMs, or the latest digital transformation we’re seeing today — has always been about gaining a strategic advantage. Companies want to do more at a lower cost, and they want the freedom to pivot quickly without fixed costs.
To enhance and automate your vulnerability analysis, we’re excited to launch the Datadog Vulnerability Analysis GitHub Action. The action enables easy integration between your application, Datadog Continuous Profiler, and Snyk’s vulnerability database to provide actionable security heuristics. The action can be installed directly from the GitHub Marketplace, and does not require you to manage any additional scripts or infrastructure.
