Low latency Microservices


In these articles I look at how we can use micro-services are yet have ease of testing, and low latency performance.  In the last of these I look at restarting a service after a failure.

Microservices for Performance

Microservices is a buzz word at the moment. Is it really something original or based on established best practices. There are some disadvantages to the way micro-services have been implemented, but can these be solved?

Microservices in the Chronicle World - Part 1

At a high level, different Microservices strategies have a lot in common. They subscribe to the same ideals. When it comes to the details of how they are actually implemented, they can vary

Microservices in the Chronicle world - Part 2

In this part we look at turning a component into a service.

Microservices in the Chronicle World - Part 3

One of the problem with using micro-services is performance. Latencies can be higher due to the cost of serialization, messaging and deserialization, and this reduces throughput. In particular poor throughput is a problem because the reason we are designing a scalable system is to increase throughput.

Microservices in the Chronicle world - Part 4

A common question we cover in our workshops is, how to restart a queue reader after a failure.

Microservices in the Chronicle world - Part 5

How can we evaluate the performance of a series of services in a test harness?  We introduce JLBH (Java Latency Benchmark Harness) to test these services.


  1. I can't parse that first sentence Peter.

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