We all know that the shared data in microservices(if they are done right) is eventually consistent. This is due to the CAP theorem which states that availability is usually a better choice than consistency. In a previous post I wrote about having eventual consistency data using Eventuate. Since distributed transactions(2PC) are heavy with a bad… Continue reading Sagas in microservices
As we saw in a previous post microservices can communicate with UI clients and with other microservices. We want to achieve low latency and high throughput, so the size of the message definitely makes a difference. But along with the size we need to make sure the message sent by a sender is understood by the… Continue reading Evolution of a message
Now the fun part. Assuming that we have built a running microservice environment, how can we maintain it? How do we introduce changes without breaking it? How do we test it? We know we can do end to end tests, but these are slow and we need faster feedback. How can we test the microservice… Continue reading Testing microservices
Why do we need to version our microservices? Microservices are basically APIs. These are consumed by the clients. We should be able to evolve them without any impact to the clients. We should not force the clients to use the new changes in services and more importantly this should not break the clients. There must… Continue reading Microservice versioning
Microservices are hard. Complexity is high. Securing microservices is even harder and even more complex. Where do we start? The first words that come to my mind are authentication and authorization. Firewall. Trust. Session. Tokens. We need to secure our applications and we need to secure our containers. Securing applications We can build a SSO… Continue reading Securing microservices
In a microservice environment it's hard to trace errors and logs, as we have lots of moving components. We could go into each service and read the logs, then aggregate them and finally with lots of patience try to understand what is happening. But we should not do this, we have alternatives. One of them… Continue reading Log tracing with Sleuth and Zipkin
In the last articles we have introduced an custom gateway in order to hide services and to load balance requests among others. Now the guys at netflix implemented this pattern and created Zuul. Personally, it reminds me of Apache Server. Zuul core consists of filters, which you can use to intercept the request and response… Continue reading Zuul – Edge Server
