Microservices – Legolizing Software Development V

Welcome to the final part of our microservices series. If you’ve missed a previous post you can read it here:

I) Architecture
II) Caching
III) Security
IV) Continuous Integration
V) Lessons Learned

Lessons Learned

Respect for Stumbling Blocks

Hopefully you have enjoyed our blog posts and have learned a lot. We answered following questions in our last four posts

  • How to build a microservices architecture?
  • How to use the advantages of caching with microservices?
  • How to secure microservices and handle authentication between them?
  • How to set up a seamless Continuous Integration workflow for microservices combining Jenkins, Git and Docker?

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Microservices – Legolizing Software Development IV

Welcome to part four of our microservices series. If you’ve missed a previous post you can read it here:

I) Architecture
II) Caching
III) Security
IV) Continuous Integration
V) Lessons Learned

Continuous Integration

Introduction

In our fourth part of Microservices – Legolizing Software Development we will focus on our Continuous Integration environment and how we made the the three major parts – Jenkins, Docker and Git – work seamlessly together.

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Microservices – Legolizing Software Development III

Welcome to part three of our microservices series. If you’ve missed a previous post you can read it here:

I) Architecture
II) Caching
III) Security
IV) Continuous Integration
V) Lessons Learned

Security

Introduction

Today we want to give you a better understanding of the security part of our application. Therefore, we will talk about topics like security certificates and enable you to gain a deeper insight into our auth service.

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Microservices – Legolizing Software Development II

Welcome to part two of our microservices series. If you’ve missed a previous post you can read it here:

I) Architecture
II) Caching
III) Security
IV) Continuous Integration
V) Lessons Learned

Caching

The microservice structure can generate a heavy communication between many services. Worst case scenario is a long tail of dependencies, resulting in a high latency of the response for the initial request. This can get even worse, e.g. if the services were running on different servers placed in various data centers. Even if some requests can run parallel, the response time for the initial requested service will take at least the answering time of the tail it depends on.

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Microservices – Legolizing Software Development I

Welcome to our five-part series about microservices and a legolized software development. We’d like to share our lessons learned about architecture, development environment and security considerations with you. We will also explain some issues we stumbled over and what solutions we chose to solve them.

I) In the first part, we present an example microservice structure, with multiple services, a foreign API interface and a reverse proxy that also allows load balancing.

II) Part two will take a closer look on how caching improves the heavy and frequent communication within our setup. [read]

III) Security is a topic that always occurs with microservices. We’ll present our solution for managing both, authentication and authorization at one single point. [read]

IV) An automated development environment will save you. We explain how we set up Jenkins, Docker and Git to work seamlessly together. [read]

V) We finish with a concluding review about the use of microservices in small projects and give an overview about our top stumbling blocks. [read]

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