DevOps is a composition of enhanced engineering practices that reduce lead time and increase the frequency of delivery. The primary goal of DevOps is to ensure operations team members are engaged and collaborating with development from the very beginning of a project or product development. Within many enterprises, teams are being compelled to reassess the security of their DevOps implementations. Recent news on vulnerabilities like Sun Burst and Log4j underscore why this is so critical.
Many cybersecurity teams are drinking from multiple firehoses without solutions in place to deal with the onslaught of data. And with 70 percent of companies experiencing over one hundred attacks each day, it’s not slowing down. Teams are overwhelmed with data from multiple sources and formats with continuous requests to pull in more and more.
Optimizing Kubernetes costs isn’t an easy task. Kubernetes is as deep a topic as cloud (and even more complex), containing subtopics like: That’s a lot for a busy DevOps team to understand and manage, and doesn’t even consider that line-of-business stakeholders and finance team members should have some understanding of each cost driver’s function and importance to contribute to a successful FinOps Strategy.
As the complexity of Kubernetes environments grow, costs can quickly spiral out of control if an effective strategy for optimization is not in place. We’ve compiled expert recommendations and best practices for running cost-optimized Kubernetes workloads on AWS, Microsoft Azure, and Google Cloud (GCP).