Microservices Resources

Migrating Spring Boot Applications to the Latest Java Version (Java 11)

Need help migrating your Spring Boot apps over to Java 11?

December 13, 2018

by Akhil Raj

· 168,635 Views · 24 Likes

Lessons From the Birth of Microservices at Google

There are five great lessons to be learned from Google's innovative adoption of microservices.

December 13, 2018

by Daniel ''Spoons'' Spoonhower

· 29,177 Views · 24 Likes

Using GDB Server Monitor Commands From the Eclipse GDB Console

With Eclipse as your IDE, it is very easy to debug an application on a board.

December 12, 2018

by Erich Styger

· 13,308 Views · 2 Likes

Apache Ignite Baseline Topology by Examples

To better understand the baseline topology concept, let’s start at the beginning and try to understand what problems it helps us solve.

December 12, 2018

by Shamim Bhuiyan

· 18,453 Views · 7 Likes

Why Is a Pull Versus a Push Pipeline Important?

This post answers common questions about GitOps and the difference between a Pull and Push DevOps pipeline.

December 12, 2018

by Anita Buehrle

· 12,755 Views · 3 Likes

Monolith to Microservices With the Strangler Pattern

Learn how the Strangler Pattern lets you replace functionalities one by one when moving to microservices.

December 12, 2018

by Samir Behara

CORE

· 31,658 Views · 45 Likes

K8s KnowHow - Using a ConfigMap

Use ConfigMap to create an externalized configuration decoupled from deployment artifacts.

December 10, 2018

by Nikhil Bhide

· 56,289 Views · 3 Likes

An Overview of the Kafka Distributed Message System (Part 2)

We finish this small series by exploring brokers, topics, partitions, and more in the open source Apache Kafka platform.

December 10, 2018

by Leona Zhang

· 14,718 Views · 9 Likes

An Overview of the Kafka Distributed Message System (Part 1)

Apache Kafka is one of the most popular tools for big data out there. If you're curious as to why, read on to take a look under the hood!

December 7, 2018

by Leona Zhang

· 32,743 Views · 17 Likes

Reasons to Scale Horizontally

Horizontal scaling has a lot of benefits, like higher throughput and fault tolerance, but your data needs to be 'big' enough to take advantage of them.

December 6, 2018

by Sean Allen

· 9,206 Views · 1 Like

CI/CD With Kubernetes and Helm

DevOps, cloud, and microservices come together for a continuously iterable environment.

December 6, 2018

by Gaurav Vashishth

· 26,657 Views · 6 Likes

How to Build a CI/CD Pipeline for Your Enterprise Middleware Platform

Learn about leveraging the advantages of CI/CD in enterprise middleware components for maintainable DevOps.

December 5, 2018

by Chanaka Fernando

CORE

· 13,090 Views · 3 Likes

Flink State Management and Fault Tolerance for Real-Time Computing

We look at the processing of stateful streaming data, state interfaces, and the implementation of state management and fault tolerance in Apache Flink.

December 5, 2018

by Leona Zhang

· 10,972 Views · 3 Likes