The network is foundational to distributed application environments. A distributed application has multiple microservices, each running in a set of pods often located on different nodes. Problem areas in a distributed application can be in network layer connectivity (think network flow logs), or application resources unavailability (think metrics), or component unavailability (think tracing).

Your team has decided to migrate your monolithic application to a microservices architecture. You’ve modularized your business logic, containerized your codebase, allowed your developers to do polyglot programming, replaced function calls with API calls, built a Kubernetes environment, and fine-tuned your deployment strategy. But soon after hitting deploy, you start noticing problems.

Trends in the infrastructure and software space have changed the way we build and run software. As a result, we have started treating our infrastructure as code, which has helped us lower costs and get our products to market more quickly. These new architectures also give us the ability to test our software faster in production-like deployments, and generally deliver more stable and reproducible deployments.

Fresh off the exciting announcement of Azure Spring Cloud’s general availability at SpringOne, today we are happy to announce the public preview of Steeltoe .NET support. Azure Spring Cloud is a fully managed service for Spring Boot—and now Steeltoe .NET—apps. As a native Azure service, it is operated by Microsoft. But VMware has partnered closely with Microsoft in the development of the service and fully supports Microsoft in its operation of Azure Spring Cloud.

Mainframe modernization is typically viewed as a multiyear, transformational journey that requires long planning phases and a massive buildout before any returns can be realized.

Node.js application developers, in the ever-evolving business landscape, enjoy tangible advantages while incorporating microservices in Node.js apps development. The microservice architecture, or microservices, is a distinct method of software systems development, which attempts to create modules that are single-function, with well-defined operations and interfaces.

As a network of microservices changes and grows, the interactions between them can be difficult to manage and understand. That’s why it’s handy to have a service mesh as a separate infrastructure layer. A service mesh is an approach to solving microservices at scale. It handles routing and terminating traffic, monitoring and tracing, service delivery and routing, load balancing, circuit breaking and mutual authentication.

Ocean by Spot provides key functions that deliver a serverless infrastructure experience for containerized applications by taking care of auto scaling, right sizing and pricing optimization. These features enable users to focus on their applications while the infrastructure is automatically provisioned and managed by Ocean.