Introduction to Micrometer with Springboot

Springboot and Springcloud has made it easier to develop Microservices in the past couple of years and its usage has increased tremendously. Springboot without Micrometer is like riding a Tesla X without the instrument cluster. Alternatively there are plenty of other tools available to instrument your code to collect metrics and some of them supplied by the metrics aggregators, some are provided by APM vendors and then there is a big gamut of open source projects. When we think about it at the enterprise scale questions like below may arise before choosing the right tool. Where should I place my instrumentation code? How to instrument uniformly across systems with the least possible overhead? What is the impact if we need to change the metrics aggregator? How to collect multi-dimensional metrics? Micrometer is one such amazing library which provides out of the box instrumentation for JVM applications and it addresses some of the common problems that we face while instrumenting and collecting metrics. It has first-class support for most of the metrics collectors and new ones getting added at a rapid pace. Let’s see how it works with an example. We will be using spring-boot in our example application and use

Continue reading

Zuul and Spring Cloud Gateway – Comparison, Benchmarks, LoadTesting

Spring Cloud Gateway and Zuul are different projects from the Spring community aimed to provide a developer-friendly way of writing Gateway services. While a many of the Spring Cloud users aware of the Zuul project, S-C Gateway is relatively framework which Spring Web Flux (Project Reactor) and the new SpringBoot2. You can refer the question which I asked some time ago in StackOverflow for differences. I have been using Netflix’s Zuul for over two years now and I am so far happy with its performance. I am eagerly waiting to see the much-purported Zuul2 which we can expect anytime. But S-C Gateway intrigued me for two reasons. One, it is coming from the spring community using the latest spring 5, its support for non-blocking APIs, WebSockets, SSEs, etc. Author of S-C Gateway Spencer Gibb has provided a benchmark app if you would like to take a look. Note: The Spring Cloud Gateway used for this test is a pre-release version and the post will be updated after the GA. So take results of SC Gateway as a pinch of salt But I wanted to test (stress) the service to its maximum capacity using different embedded web servers and conditions. Even

Continue reading

Reactive Springboot with Spring Cloud Vault

In the previous post, we saw how we can create reactive Microservices using Spring-boot and Kotlin. I want to write this as a series of articles to address various cross-cutting concerns when we encounter during the implementation of Microservices architecture. In this post, we will see about securing our Microservices using Spring Cloud Security and storing the credentials of the service and MongoDB in the Hashicorp Vault and then retrieve them using Spring Cloud Vault. In addition to providing a secure means of storing the credential and tokens in the vault, it gives us the advantage of dynamically serving them for your Microservices. We will be using the Hashicorp vault for our demo and use the Azure Vault in the next series. To begin with download the vaultproject from here according to you operating system. Create a vault config like below and the additional properties of the vault can be checked here. We are using the in-memory vault so the tokens will be persisted anywhere and disable_mlock prevents the memory being swapped to the disk. It is OK to use it for development/testing. Since I am using a MacOS for development mlock is not supported by the system. backend "inmem"

Continue reading

Developing reactive microservice using Springboot 2

Reactive Spring is based on the project reactor for building non-blocking applications using the spring platform and spring cloud frameworks. Three important interfaces available in Reactor are Publisher, Subscriber, and Processor. Publisher – source of the data Subscriber – One which receives data asynchronously Processor – nothing but a publisher which is also a subscriber (most of the time we won’t need this) Reactor introduces reactive types which implement the Publisher interface namely Flux and Mono. Flux – represents multiple sequences of a result 0…N (many items) which suggests Flux is a standard publisher Mono – As the name suggests, represents single sequence of a result either an empty result or one result 0…1 which suggests Mono will emit at most one item Starting from Spring 5 and Spring Boot 2 reactive core is completely supported and provides an excellent long-awaited alternative to Akka Streams. If you are coming from a spring background and uses it extensively there is no reason why you shouldn’t try this. However, it is great for people who begin with Spring platform as well. This post is hugely inspired by Josh Long’s webinar on Reactive streams which you can find here. We are going to

Continue reading