Operations | Monitoring | ITSM | DevOps | Cloud

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.

If you manage applications running on cloud platforms, you likely depend on multiple cloud vendors and services. These could be infrastructure providers like AWS, GCP or Azure. A vulnerability in any of these services could potentially impact your applications and your users. A cloud platform has many moving parts, many of which are dependent on other third-party providers.

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.

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!

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.

"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.