I will be in the National School of Computing Sciences of Tunisia (ENSI Tunisia), from the 2nd to 4th January 2020, to animate a 20 Hours workshop, about Microservices in Java and how to deploy them as Docker Containers to Kubernetes. The event is organized by Mrs Rim Drira.
The Microservices Architecture World, we can meet many concepts and patterns, like the Centralized Configuration, Circuit Breaker, Service Registry and Discovery, etc.. Two of these patterns are the CQRS and the Event Sourcing patterns, coming from the Domain Driven Design planet 🌏 In the most of the use-cases, these two patterns are sold together 😁 in this new tutorial, we will discover what does each one ? why they are usually used together ? and for sure we will implement these two patterns in Java ☕️ obviously 🤓
Nowadays, the most of the Java microservices and even many Java application are packaged and deployed as Docker containers. Everyone is enjoying (I hope 😆) the Docker experience, compared to the traditional VMs. But, the Docker containerization will not come alone.. nothing is autonomous 😁 So, there are many concerns to take into consideration while containerizing Java applications, like playing with the JVM.
The serverless architecture became one of the most buzzy words nowadays. Almost all the cloud providers have a Serverless platforms in their catalogues:
- Microsoft Azure Functions
- Amazon Web Services Lambda
- Google Cloud Functions
- IBM Cloud Functions
- Oracle Functions
In an other world, there are many solutions to have a Serverless Runtime into Kubernetes, which is the most popular (and the most wonderful) container orchestrator in the market. These solutions are so helpful especially if you need portability for your functions. For example, you can have the same Serverless Runtime deployed to Azure Kubernetes Service and Google Kubernetes Engine. You can be deploying the same binaries as functions identically to both of the cloud providers.
In this tutorial, I will demonstrate how to deploy a Serverless Framework to Minikube and on which we will deploy some Functions based on Spring Boot Framework.
In some previous articles, I was writing about the Azure Functions, which is the Microsoft Serverless solutions. After joining Microsoft, I got the chance to work on this great product for many business cases and I found it was really great 🥳
Recently, one of my Facebook friends asked me to write a blog post about what is Serverless architecture ? 🤔 what is for ? 🤔 and especially, what are the scenarios that are not suitable for Serverless ? 🤔
Maybe I had to write this post before starting the Azure Functions tutorials series. But, as we say “It’s never too late to set things right” 😁
In this tutorial, we will be experimenting a new use case of the great Azure Functions service 😁 one of my favorite products in Azure.
In this tutorial, we will bring the powerful features of the Spring Framework to our Azure Functions Java projects. After this tutorial, creating a new Azure Functions Java based on business logic that you already have in your Spring Boot Application will be a very easy game.
In one of the previous posts, I introduced the Azure Functions Java. I felt that I need to write a dedicated tutorial to this great Azure Serverless service 😁
In this post, I will be covering many concepts in deep:
- Triggers and bindings
- Events and messaging
- Deployments & Consumptions
In enterprise application, performance is major requirement of success. Especially for applications where slowness will have a direct detrimental impact on business productivity, profits and even the brand itself, like trading platforms and e-commerces.
If a trading platform loads slowly or experiences errors, it will translate into loss of business, and losses can be extremely high, and the customer might end up switching to another competitor.
In this context comes the Application Performance Management (APM). APM is the monitoring and management of performance and availability of applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service.
On this article, I am going to explain how to use Azure Monitor which is the Microsoft Azure’s product that helps you maximize performance and availability of your applications and proactively identify problems in seconds.
January 2018, Red Hat acquired CoreOS for 250 million dollars 🤩. CoreOS was one of the leading companies of Linux & Containers market with their wide offer of products:
- CoreOS Tectonic: container application platform based on Kubernetes.
- CoreOS Container Linux: lightweight Linux distribution designed to run containerized applications.
- CoreOS Operators Framework: an open source toolkit designed to manage Kubernetes native applications.
- CoreOS Quay: a container registry for building, storing, and distributing your private containers.
- CoreOS rkt: an application container engine developed for modern production cloud-native environments.
- even more and more..
We.. developers.. we spend all our time writing code (and drinking coffee).. but we rarely care about the code quality.. until we get some pressure from a reviewer or from some quality scanner tool.. and as every field in the Java ecosystem, we have many choices when we come to choose a Quality Scanner tool: FindBugs, CheckStyle, PMD and of course the GREATEST SonarQube 😍
I fully worked with SonarQube since January 2014, during my M.Sc. internship to analyze my code and even to check if there are some Security Flaws using the OWASP and SANS Quality Gates.
In this tutorial, I will show you how to get started with SonarQube and how to use it lightly (without even installing it) 😁