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Andrey Zaychikov is solutions architect at Amazon Web Services in this blog post will share experiences from a cross-regional migration of large-scale NoSQL database clusters (from Europe to the U.S.).

Migration includes amongst others

• Apache Cassandra cluster with 25 nodes, 18 TB of data
• MongoDB cluster with 150 GB of data, distributed across 4 shards, each shard - replica set includes the master and two slaves
• Elasticsearch cluster - search index of 1 TB
• Redis - one master and two slaves, with 15 GB, 10 GB, and 1 GB of data and very high write speeds

Migration process required zero downtime, no changes in the application and database structure, minimal use of third-party tools.

While building containerized applications has become an established practice, some organizations are facing challenges with managing the containers themselves according to Vivek Juneja – engineer based in Seoul.

Adopting containers, especially in a microservices-based architecture, leads to increased entropy in the system. In order to address these challenges, there are ways to create containerized applications in a way that makes them operation-ready.

One of the cornerstones of the DevOps movement is the adoption of ideas around the observe, orient, decide and act (OODA) loop, a widely-used principle to take action in a constantly changing environment.

This article is about developing the NGINX Microservices Reference Architecture (MRA) - a set of models that you can use to create your own microservices applications.

The Reference Architecture to be compliant with the principles of the Twelve-Factor App. The services are designed to be lightweight, ephemeral, and stateless.

The MRA uses industry standard components like Docker containers, a wide range of languages - Java, PHP, Python, NodeJS/JavaScript, and Ruby - and NGINX-based networking.

Carlos Justiniano - veteran software developer - microservices tutorial describes how to use a new Node module called Hydra to build more capable ExpressJS microservices.

Tutorial considers more than implementation of API endpoints. It also features:

• Service Discovery
• Inter-service messaging
• Request load balancing
• Service Presence and health