Michael Eder & Philipp Frauenthaler

Our journey with Spring Boot in a microservice architecture

The goal of microservices is deploying a service without changing anything else. Here are the practical lessons to finally achieve it.

Our journey with Spring Boot in a microservice architecture
#1about 3 minutes

Defining key architecture goals for a microservices system

The open-closed principle, fault tolerance, technology diversity, and independent deployment are essential goals for a robust architecture.

#2about 3 minutes

Understanding the core principles of microservice architecture

Microservices decompose the business and persistence layers into small, independent services, each with its own data store.

#3about 4 minutes

Avoiding tight coupling from shared code and dependencies

Sharing interfaces or using a common parent POM creates tight coupling that breaks independent development and builds.

#4about 3 minutes

Managing shared libraries and API versioning effectively

Common functionality should be outsourced to versioned shared libraries, and service APIs must be versioned to prevent breaking changes.

#5about 3 minutes

Designing a single entry point for data objects

Using multiple communication channels for the same data object complicates maintenance, so a single entry point simplifies logic and conversion.

#6about 5 minutes

Mitigating temporal coupling with robust backup strategies

Reduce the impact of service failures caused by temporal coupling by implementing backup strategies like default values or disabling features.

#7about 2 minutes

Improving performance and resilience with local caching

Implementing a local data cache, such as Google Guava, reduces synchronous calls to other services and improves system resilience.

#8about 2 minutes

Achieving fault tolerance through scaling and redundancy

Use platforms like Kubernetes with health checks to automatically scale and replace faulty instances of stateless services for high availability.

#9about 5 minutes

Decoupling services using asynchronous communication patterns

Asynchronous communication via a message broker increases availability and fault tolerance but requires careful handling of redelivery and monitoring.

#10about 27 minutes

Adopting an iterative mindset for architecture evolution

Building a microservice architecture is an ongoing, iterative process that requires continuous improvement and an open-minded team culture.

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Software Engineer

tree-IT GmbH
Bad Neustadt an der Saale, Germany

Intermediate
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Matching moments

Discussing team structure, agile methods, and microservices
35:55 MIN

Discussing team structure, agile methods, and microservices

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

Choosing a familiar Java framework for microservices
10:09 MIN

Choosing a familiar Java framework for microservices

Microservices: how to get started with Spring Boot and Kubernetes

Modernizing development with a multi-channel architecture
02:29 MIN

Modernizing development with a multi-channel architecture

Enterprise-Cloud-Native - Fast-Paced Development & Deployment in a Highly Secure Banking Environment

Practical advice for building a microservice architecture
15:58 MIN

Practical advice for building a microservice architecture

Why you shouldn’t build a microservice architecture

Building an event-based microservice architecture for agility
35:33 MIN

Building an event-based microservice architecture for agility

The user in the eye of the Cargo1492 storm

The evolution of Spring Boot and container technologies
00:13 MIN

The evolution of Spring Boot and container technologies

What's (new) with Spring Boot and Containers?

Defining true microservices with data ownership and DDD
05:50 MIN

Defining true microservices with data ownership and DDD

Building high performance and scalable architectures for enterprises

The initial challenges of scaling microservices
04:20 MIN

The initial challenges of scaling microservices

Reducing Cognitive Overload Through Platform Engineering

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