Operations | Monitoring | ITSM | DevOps | Cloud

Internal Developer Platforms (IDPs) are gaining significance in contemporary software development because they can transform an organization's software delivery by facilitating automation and productivity across large teams or by permitting smaller teams without dedicated DevOps engineers the ability to deploy at scale. The migration of existing projects, protocols, and infrastructure to the new platform can make the transition to an IDP challenging for businesses.

The all-new Galileo SMARTboards open the possibility of creating your own personalized decision boards with unprecedented control and flexibility to make the best strategic and tactical decisions for your organization. Now, that’s SMART.

In today's world, where cloud resources and data management tools play an increasingly critical role, the concept of an Internal Developer Platform (IDP) is gaining momentum. Imagine a platform where developers seamlessly design, build, and deploy applications. That's precisely the promise of IDPs. But here's the highlight: with great power comes greater responsibility. Security within IDPs isn't just an optional add-on; it's the core essence.

Azure API Management is a Microsoft Azure cloud-based solution that helps businesses effortlessly create, publish, secure, and analyze APIs (Application Programming Interface). APIs are the building blocks of any business and play an essential role in data exchange. Azure API Management monitoring is vital to enable the business to function seamlessly. It helps early problem detection, resource optimization, and data-driven decision-making to increase the quality of the API ecosystem.

Amazon Simple Storage (S3) has become a cornerstone in the world of cloud computing, offering scalable and secure object storage solutions for a wide range of applications. However, as data accumulates over time, managing it in an efficient manner becomes a challenge. This is where S3 Lifeycle Rules shine. These rules allow us to automate the transition of data between different storage classes and even schedule automatic deletions, which allows users to optimize costs and operational efficiency.

Kubernetes integrations are now available for AutoSys, dSeries, and Automic Automation. It wasn’t that long ago that teams in many organizations started dipping their toes into the world of containers and microservices. It didn’t take long for this approach to application development and orchestration to take hold, and for Kubernetes to emerge as a dominant, broadly used technology.

As software engineers, we all know that troubleshooting often involves sifting through heaps of data points — scanning metrics, reading logs, checking resource status and analyzing events. We manually connect the dots, and if we're experienced enough, we might spot an issue that's about to become a problem. At StackState, we've faced these same challenges.