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).

Dont‘ miss my next post. Subscribe!

We don’t spam! Read our privacy policy for more info.
If you have issues with the registration, please try a private browser tab / incognito mode. If it doesn't help, write me: kontakt@kai-waehner.de

Leave a Reply
You May Also Like
The Past Present and Future of Stream Processing
Read More

The Past, Present and Future of Stream Processing

Stream processing has existed for decades. The adoption grows with open source frameworks like Apache Kafka and Flink in combination with fully managed cloud services. This blog post explores the past, present and future of stream processing, including the relation of machine learning and GenAI, streaming databases, and the integration between data streaming and data lakes with Apache Iceberg.
Read More
Read More

Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
Read More