Docker Containers in the Middleware Universe

Docker is one of the hottest technologies right now.

Relation to SOA, ESB and Microservices

Many TIBCO customers already ask how they can leverage Docker in combination with SOA, ESB and Microservices, and what TIBCO’s strategy is. I just want to refer to an article I published recently, it shows some insights about TIBCO’s future strategy from the Docker perspective:

Docker Containers in the TIBCO Universe

The following shows a snippet of the article, which explains how Docker is related to Microservices.

Docker as Foundation for Microservices

Enterprises need to be more flexible and agile as the requirements are changing much faster than some years ago due to trends such as cloud, mobile, Big Data, and Internet of Things. Microservices are the answer for this need—and also a trendy buzzword these days.

Microservices allow developing, deploying, and scaling services independently of each other. Therefore, Microservices have specific architecture requirements. One of the key requirements is managing complex deployments and their scalability. The context of utilization of services will vary a lot. Services need to scale very rapidly. Automation is key for agile, flexible, and productive Microservices development. Without continuous integration/continuous delivery/DevOps, you cannot realize the Microservices concept efficiently.

Docker can be used for building, testing, packaging, and deploying Microservices.

Sure, other options are available or emerging these days, too. However, Docker seems to become the de facto standard if you take a look at number of enterprises supporting it, increasing community, and growing tool support. Similar to Apache Hadoop for big data years ago (I mean really BIG data, i.e. if you want to analyze Terabytes or more).

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming, processing and analytics

Recent Posts

Fraud Detection in Mobility Services (Ride-Hailing, Food Delivery) with Data Streaming using Apache Kafka and Flink

Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power…

2 hours ago

Virta’s Electric Vehicle (EV) Charging Platform with Real-Time Data Streaming: Scalability for Large Charging Businesses

The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating…

6 days ago

Apache Kafka 4.0: The Business Case for Scaling Data Streaming Enterprise-Wide

Apache Kafka 4.0 represents a major milestone in the evolution of real-time data infrastructure. Used…

1 week ago

How Apache Kafka and Flink Power Event-Driven Agentic AI in Real Time

Agentic AI marks a major evolution in artificial intelligence—shifting from passive analytics to autonomous, goal-driven…

2 weeks ago

Shift Left Architecture at Siemens: Real-Time Innovation in Manufacturing and Logistics with Data Streaming

Industrial enterprises face increasing pressure to move faster, automate more, and adapt to constant change—without…

2 weeks ago

The Importance of Focus: Why Software Vendors Should Specialize Instead of Doing Everything (Example: Data Streaming)

As real-time technologies reshape IT architectures, software vendors face a critical decision: specialize deeply in…

3 weeks ago