Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World

In April 2016, I had two talks at JPoint in Moscow, Russia. The first talk was an existing talk about “How to Apply Big Data Analytics and Machine Learning to Real Time Processing”. The second talk was a brand new one: “Microservices and Containers in the Middleware World”. This article discusses and shows the new slide deck about how middleware is related to Microservices, Containers, Docker and Cloud-Native Architectures.

Key takeaways of the talk:

  • A cloud-native architecture enables flexible and agile development
  • Modern middleware leverages containers, Microservices and a cloud-native architecture
  • Just using Jenkins and Docker is not enough

A Cloud-Native Architecture for Middleware

Cloud Native development and deployment enables:

  • Scalable services
  • Resiliency
  • Automatic load balancing and failover
  • DevOps
  • Usage of public cloud platforms, but also private or hybrid
  • Vendor-agnostic deployment
  • Shorter time to results and increased flexibility

With all this, you can focus on solving your business problems instead of spending your time with plenty of technical issues in ”static and inflexible legacy architectures”. The following requirements are relevant for building a cloud-native architecture:

Microservices and Containers

  • Independent Services
  • Flexible Deployment

Continuous Integration and Continuous Delivery

  • Scripting / Automatic Test and Deployment
  • Service Discovery
  • Dynamic Distributed Configuration Management

Scalability and Failover

  • Cluster Management (Scheduling and Orchestration)
  • Load Balancing (Server-side and Client-side)
  • Resilience Design Patterns

Cloud Native Platform

  • Self-Service Agile Infrastructure
  • Private / Public / Hybrid PaaS

Slide Deck from JPoint Moscow 2016

The slide deck discusses requirements for a cloud-native architecture, available platforms such as Docker, Kubernetes, Apache Mesos or Cloud Foundry, and how all these components are related to Middleware:

Click on the button to load the content from www.slideshare.net.

Load content

As always, feedback appreciated!

By the way: This slide deck is also an “add-on” and update to my well discussed article of last year: “Does a good Microservices architecture spell the death of the Enterprise Service Bus?

Kai Waehner

builds cloud-native event streaming infrastructures for real-time data processing and analytics

Recent Posts

How Siemens Healthineers Leverages Data Streaming with Apache Kafka and Flink in Manufacturing and Healthcare

Siemens Healthineers, a global leader in medical technology, delivers solutions that improve patient outcomes and…

6 days ago

My Road to Lufthansa HON Circle Status in 2025

Discover my journey to achieving Lufthansa HON Circle (Miles & More) status in 2025. Learn…

1 week ago

The Data Streaming Landscape 2025

Data streaming is a new software category. It has grown from niche adoption to becoming…

3 weeks ago

Top Trends for Data Streaming with Apache Kafka and Flink in 2025

Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as…

3 weeks ago

Data Streaming in Healthcare and Pharma: Use Cases and Insights from Cardinal Health

This blog delves into Cardinal Health’s journey, exploring how its event-driven architecture and data streaming…

4 weeks ago

A New Era in Dynamic Pricing: Real-Time Data Streaming with Apache Kafka and Flink

In the age of digitization, the concept of pricing is no longer fixed or manual.…

1 month ago