Operations | Monitoring | ITSM | DevOps | Cloud

The promise of cloud computing has always been about flexibility and cost-effectiveness. Yet many organizations find themselves trapped in a cycle of unpredictable costs and underutilized/overutilized resources. The culprit? A lack of understanding about the power of scaling within platforms like Amazon’s Elastic Kubernetes Service (EKS).

Mock services are a powerful tool for accelerating software development. Learn the top use cases for mock APIs in our blog.

Freedom of choice can make choosing harder. Since a JFrog cloud (SaaS) account provides the same functionality as a self-hosted JFrog Software Supply Chain Platform how will you decide which is right for you? Choice without tradeoffs is one of the key ways JFrog enables you to be cloud-nimble, and run the mission-critical heart of your DevSecOps process wherever you need it to be — in any cloud, public or private, as SaaS, BYOL, or on-prem. So how will you decide?

Recently, we wrote a great article about Platform Engineering and how to get started; well, now that you know much more about it, you might want to explore the best Platform Engineering tools to use in 2024. If that’s the case, this article is for you.

Cost optimization in cloud environments is no longer a luxury — it’s a necessity. As businesses increasingly migrate to AWS, they are met with the difficult task of ensuring robust performance and scalability, all while keeping an eagle eye on costs. How does one achieve this delicate balance? How can organizations ensure that their AWS architectures are both high-performing and cost-efficient?