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5 You’re Probably F**king Up Your Microservices

OverOps

It seems like everyone is into microservices these days, and monolith architectures are slowly fading into obscurity. With Microservices, though, there seems to be more consensus that the trend is here to stay. With Microservices, though, there seems to be more consensus that the trend is here to stay. It makes sense.

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Top Disadvantages to Adopting Microservices (And Why You Should Do It Anyway)

OverOps

Microservices is a thought model that promises to bring us closer to that goal. By breaking up an application into specialized containers designed to perform a specific task or process, microservices enable each component to operate independently. What Makes Microservices Hard? What makes Microservices hard?

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Microservices on AWS: Part 2 [Video]

Dzone - DevOps

In this AWSome Pipeline tutorial, I will deploy a Spring Boot microservice to AWS Cloud using the different CI/CD tools provided by AWS. We will be creating a new version of the application and then demo that how the AWS pipeline can deploy those changes to our environment seamlessly. Introduction.

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Strangler Pattern: How to Deal With Legacy Code During the Container Revolution

OverOps

Before you know it, you might find yourself preparing to transition a massive, complex monolith application to Microservices and realize that you have no idea where to start and there’s no one left at the company that knows how the foundational code of the software works. Microservices to the rescue? Or in other words….

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The future of Cloud-native software development with Radius

Xebia

Microservices Building on the principles of SOA, Microservices architecture further decomposed applications into self-contained autonomous business capabilities. Each Microservice focused on a specific business function and could be independently developed, deployed, and scaled. Recipes Radius also uses Recipes.

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Debugging Distributed Systems: 3 Common Distributed Tracing Challenges & How to Overcome Them

OverOps

Below we outline common approaches to distributed tracing, the challenges these methods pose and how OverOps can help deliver greater insights when troubleshooting across microservices. The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility.

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ksqlDB Meets Java: An IoT-Inspired Demo of the Java Client for ksqlDB

Confluent

Stream processing applications, including streaming ETL pipelines, materialized caches, and event-driven microservices, are made easy with ksqlDB. Until recently, your options for interacting with ksqlDB were limited to its command-line […].

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