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Senior Software Engineer at Microsoft - OWASP Project Leader - Author & Speaker

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Playing with the JVM inside Docker Containers

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.

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Playing with Serverless in Kubernetes with Knative

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.

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Playing with Serverless Architecture

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” 😁

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Playing with Spring Cloud in Azure Functions

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.

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Trip Report: Seattle Trip – November 2019

I was for a week in Seattle & Redmond, WA, to attend the Microsoft CSE OneWeek Event, which is a global hackathon for all CSE Team worldwide, from the 1st to the 9th of November.

It’s my first visit to Seattle and Redmond. It was an amazing visit in very beautiful cities 🥳

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Celebrating the 100 points in the Google Lighthouse Reports

In this post, I will share with you my experience starting from a disaster that occurred to my blog ☠️😢😭 until reaching the 100/100 performance score and get all Audits Validation Badges on Google Lighthouse 🏆🥇🎉🎊🎈💯/💯🥳

October 10th, I was writing a new post in my blog, in one of the previews, the site kept loading without giving any response. 😱😫😰😓😳🥵

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Playing with Java in Azure Functions – New Release

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
  • Monitoring

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Trip Report: Netherlands Trip – October 2019

I was for a week in Amsterdam, Netherlands, to attend the Microsoft OpenHack about the Migrating Workloads to Azure from the 14th to the 18th of October.

It’s not my first visit to Amsterdam, and like every time, it was an amazing visit 🥳

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Playing with Azure Monitor services and Spring Boot

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.

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Playing with OpenShift 4 locally

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..

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