With the nearly unmatched reliability and scalability offered by the 12-factor application design pattern, microservice-based designs have become a fundamental architectural pattern for modern applications. A whole industry of cloud providers has sprung up to offer management of the sophisticated middleware and infrastructure services that make this possible. Amazon Web Services (AWS) is among the largest of them.

AWS Elastic Container Service for Kubernetes (EKS) is a managed service ideal for large clusters of nodes running heavy and variable workloads. Because of how account permissions work in AWS, EKS's architecture is unusual and creates slight differences in your monitoring strategy. Overall, it's still the same Kubernetes you know and love.

We all know that testing new ideas on physical IT infrastructure requires a massive upfront cost. That's why businesses adopt cloud infrastructure setups. These setups offer on-demand resources, which allow you to start new projects and pay for only what you use. This eliminates the need for expensive hardware and maintenance, enabling flexibility that organizations require.

At Uptime.com, we’re committed to helping you monitor and manage the uptime and reliability of your websites and critical infrastructure. Based on your feedback, we’ve enhanced Cloud Status to deliver even more powerful insights into third-party dependencies and improve your experience. Here’s what’s new and what’s coming next!

Cloud computing is like the modern, virtual frontier where organizations can scale their operations with just a click. But, building your cloud infrastructure is not just about choosing servers and storage. It’s also about establishing a secure, efficient network to ensure your applications run smoothly and your data is protected. Think of your cloud network as a cloud city.

Kubernetes (K8s) has transformed cloud-native infrastructure, enabling enterprises to build scalable, agile environments. Yet, alongside its benefits, Kubernetes introduces a significant blind spot —a rapidly growing part of cloud budgets that has become more and more difficult to optimize. Excess spend is common, and is caused by incorrectly specified container resources, stranding tremendous amounts of resources while at the same time introducing significant operational risk.

"How can there be an extra 30% overhead in applications like Apache Spark that other optimization solutions can't touch?" That's the question that many Pepperdata prospects and customers ask us. They're surprised—if not downright mind-boggled—to discover that Pepperdata autonomous cost optimization eliminates up to 30% (or more) wasted capacity inside Spark applications.

As organizations transform and modernize their digital operations, the choice of infrastructure isn’t always clean cut. Hybrid cloud architecture is an increasingly popular approach to IT infrastructure, allowing organizations to take advantage of the best features of cloud and on-premises solutions. This approach enables enterprises to optimize workload placement for performance and cost, match applications to ideal environments, and strategically distribute critical assets.