Chris Tozzi

For open banking to work, organizations must overcome a number of common integration challenges.

We’re in the midst of a monitoring revolution, which will probably continue to play out over the next decade as newer and better tools and methodologies emerge. 

Do words like visibility, observability, and telemetry add anything valuable to discussions about monitoring? To a degree, they certainly do.

Proactive monitoring requires concrete strategies that allow your team to operate proactively when managing performance and reliability.

Kubernetes has made something old new again. You may not want to admit it, but you’re probably into Kubernetes because it feels like PaaS.

Intelligent edge computing is the application of edge computing architectures to workloads involving data analysis, machine learning, or AI.

Moving to an edge architecture requires managing costs, orchestration, and security challenges.

To be competitive, banks and insurance companies must invest in architectures and tools that deliver more flexible, scalable, and resilient software services.

With open banking, developers can integrate financial data from multiple institutions within the same application or share financial data between applications more easily.

IoT infrastructure is one possible way to build an edge computing environment.

In many situations, using cloud computing and edge computing at the same time can lead to the best overall outcome from a performance perspective.

Managed Kubernetes services typically provide features to help set up key components of a complete Kubernetes environment.