Getting errors right can be tricky and it can be even trickier in gRPC. The current version of gRPC only has limited built-in error handling based on simple status codes and metadata. In this article, we will see what are limitations of gRPC error handling and how to overcome that
An API Gateway or Backend for frontend (BFF) is an important design pattern for building applications based on microservices architecture. This reduces chattiness between clients and services by aggregating multiple requests into a single request. We can build specialized BFF services(s) to handle different interfaces for browser and mobile applications. The API Gateway can also be used to offload cross-cutting concerns such as authentication, authorization, rate limiting to a proxy.
Deploying a microservice application on a Kubernetes cluster can be a very daunting exercise if we don't understand different Kubernetes construct. This article is all about running multiple replicas of applications and exposing HTTP routes.
Stream operations can be either intermediate or terminal. An intermediate operation produces another stream. Likewise, a terminal operation produces a result or side-effect.
Streams let us do computation on the collection of data in a declarative way, (rather than specifying how to do, we specify what to do). To perform a computation, stream operations are composed into a stream pipeline. A stream pipeline consists of a source, zero or more intermediate operations, and a terminal operation. Streams are lazy; computation on the source data is only performed when the terminal operation is initiated.
Want to start with a quick Kubernetes application deployment locally? In this article, we will learn how to build a Docker image of an application, install a local Kubernetes cluster and deploy a Kubernetes Pod, and access Pod.