Microservices = Death of the Enterprise Service Bus (ESB)? – Slide Deck and Video Recording

[UPDATE June 2016: Please also read this updated article about Microservices, Containers and Cloud-Native Architecture for Middleware]

In 2015, the middleware world focuses on two buzzwords: Docker and Microservices. Software vendors still sell products such as an Enterprise Service Bus (ESB) or Complex Event Processing (CEP) engines. How is this related?

Docker is a fascinating technology to deploy and distribute modules (middleware, applications, services) quickly and easily. Most people agree that Docker will change the future of software development in the next years. I will do another blog post about how Docker is related to TIBCO and how you can deploy and distribute Microservices with Docker and TIBCO products such as TIBCO EMS and BusinessWorks 6 easily.

Microservices is NOT a technology, but a software architecture style. Many people say that Microservices kill the Enterprise Service Bus (ESB) because Microservices use smart endpoints and dumb pipes. I had a talk at the Microservices Meetup in Munich in June 2015. Most attendees were surprised, why TIBCO shall be relevant for Microservices. I heard that question in several customer meetings, too. This was the main motivation for this talk. I want to share the slide deck and video recording of the talk with you…

Abstract: Why use TIBCO for Microservices?

Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility.

Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs.

This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB).

Key messages of the talk:

  • Microservices = SOA done right
  • Integration is key for success – the product name does not matter
  • Real time event correlation is the game changer

Slide Deck from Microservices Meetup in Munich, Germany

Here is the slide deck:

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

Load content

Video Recording on Youtube

The session was recorded (thanks to the guys from AutoScout24). Here is the Youtube upload:

Looking forward to your feedback… Is the ESB dead or not? If no, what kind of ESB (or better said in 2015: Service Delivery Platform) do you use? If yes, how to you implement “ESB features” in your projects? “Simple” REST services and server-code under the hood, or how else?

Kai Waehner

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

Recent Posts

Mainframe Integration with Data Streaming: Architecture, Business Value, Real-World Success

The mainframe is evolving—not fading. With cloud-native features, AI acceleration, and quantum-safe encryption, platforms like…

2 days ago

How OpenAI uses Apache Kafka and Flink for GenAI

OpenAI revealed how it builds and scales the real-time data streaming infrastructure that powers its…

6 days ago

­­The Rise of the Durable Execution Engine (Temporal, Restate) in an Event-driven Architecture (Apache Kafka)

Durable execution engines like Temporal and Restate are redefining how developers orchestrate long-running, stateful workflows…

1 week ago

How Penske Logistics Transforms Fleet Intelligence with Data Streaming and AI

Real-time visibility has become essential in logistics. As supply chains grow more complex, providers must…

2 weeks ago

Data Streaming Meets the SAP Ecosystem and Databricks – Insights from SAP Sapphire Madrid

SAP Sapphire 2025 in Madrid brought together global SAP users, partners, and technology leaders to…

3 weeks ago

Agentic AI with the Agent2Agent Protocol (A2A) and MCP using Apache Kafka as Event Broker

Agentic AI is emerging as a powerful pattern for building autonomous, intelligent, and collaborative systems.…

3 weeks ago