Articles

This is the eighth article documenting what I’ve learned from a series of 13 Trailhead Live video sessions on Modern App Development on Salesforce and Heroku. In these articles, we’re focusing on how to combine Salesforce with Heroku to build an “eCars” app—a sales and service application for a fictitious electric car company (“Pulsar”) that allows users to customize and buy cars, service techs to view live diagnostic info from the car, and more. In case you missed my previous article, you can find the link here.

Just as a quick reminder: I’ve been following this Trailhead Live video series to brush up and stay current on the latest app development trends on these platforms that are key for my career and business. I’ll be sharing each step for building the app, what I’ve learned, and my thoughts from each session. These series reviews are both for my own edification as well as for others who might benefit from this content.

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With the rise of Single-Page Applications (SPA) in web frontends, it is often the case that backend REST APIs based on Zato need to be configured for CORS. This article will explore what CORS is and how to make Zato participate in scenarios using it.

Terminology

CORS, as an acronym, has several parts:

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You have probably read about Kubernetes, and maybe even dipped your toes in and used it in a side project or even at work. But understanding what Kubernetes is all about, how to use it effectively, and what the best practices are requires much more effort. Kubernetes is a big open-source project and ecosystem with a lot of code and a lot of functionality. Kubernetes came out of Google, but joined the Cloud Native Computing Foundation (CNCF) and became the clear leader in the space of container-based applications.

Let’s hear from Gigi Sayfan, author of the bestseller Mastering Kubernetes, Third Edition, about his methodologies and the approach he followed to create a powerful resource to acquaint learners all over the globe with the fundamentals and more advanced concepts of Kubernetes.

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Serverless computing, which is commonly referred to as just Serverless, is a promising cloud-based technology model that has emerged on the app development and software architecture horizon in recent years. Trying to avail themselves of the huge serverless framework potential, many big-time market players have been quick to jump on the cloud services bandwagon. Such software giants like Google, Microsoft, IBM, and Amazon already offer the customers to migrate all the local business operational efficiencies to be hosted on their flagship serverless platforms like AWS Lambda and Azure Functions.   

Simply put, serverless architecture is an event- and request-driven tech solution allowing application developers to create actionable working environments in the cloud that have all the necessary computational resources needed for a smooth coding flow. This framework comes in handy especially when time is an issue and the tasks assigned are quite resource-intensive.

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In this article, we will see how to implement a data pipeline from an application to Mongo DB database and from there into an Elastic Search keeping the same document ID using Kafka connect in a Microservice Architecture. In recent days and years, all the microservices architectures are asynchronous in nature and are very loosely coupled. At the same time, the prime approach to have minimum code (minimum maintenance and cost), no batch systems (real-time data), and promising performance without data loss fear. Keeping all the features in mind Kafka and Kafka connect is the best solution so far to integrate different sources and sinks in one architecture to have very robust and reliable results.

We will Depp drive and implement such a solution using Debezium Kafka connect to achieve a very robust pipeline of data from one application into Mongo and then into Elastic cluster.

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The use of serverless computing has become a must nowadays, and some of you may already know a thing or two about Amazon Web Services like Lambda Functions, Step Functions, and other services AWS provides. However, if this is the first time you hear about them – fantastic!

In this article, we’ll discuss AWS Step Functions, what they are used for, how to use them, and the advantages or disadvantages that they bring.

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Agile 

AI

Big Data

Cloud

Database

DevOps

Integration

  • Mulesoft 4: Continuous Delivery/Deployment With Maven by Ashok S — This article is a great example of what we want every tutorial to look like on DZone. The main aim of this article is to provide a standard mechanism to release project artifacts and deploy to Anypoint Platform, from the local machine or configure in continuous delivery pipelines.
  • Integration With Social Media Platforms Series (Part 1) by Sravan Lingam — This article helps you to build a RESTful API through MuleSoft that integrates with LinkedIn and shares a post on behalf of one’s personal account. I like this article because, in the age of social media, it’s so important for businesses to be connected and integrated!

IoT

Java

Microservices

Open Source

Performance

  • What Is Big O Notation? by Huyen Pham — Aside from a silly name, this article is an example of an in-depth analysis on a little-spoken-about concept. In this article, take a look at a short guide to get to know Big O Notation and its usages.
  • Is Python the Future of Programming? by Shormisthsa Chatterjee — Where is programming going? This article attempts to answer this question in a well-rounded way. The author writes, "Python will be the language of the future. Testers will have to upgrade their skills and learn these languages to tame the AI and ML tools".

Security

Web Dev

  • A Better Way to Learn Python by Manas Dash: There’s so many resources available for learning Python — so many that it’s difficult to find a good and flexible place to start. Check out Manas’ curated list of courses, articles, projects, etc. to get your Python journey started today. 
  • Discovering Rust by Joaquin Caro: I’m a sucker for good Rust content, as there’s still so many gaps in what’s available. Joaquin does a great job of giving readers his perspective of the language’s features in a way that traditional docs just 

Source de l’article sur DZONE

The software industry has come a long journey and throughout this journey, Software Architecture has evolved a lot. Starting with 1-tier (Single-node), 2-tier (Client/ Server), 3-tier, and Distributed are some of the Software Architectural patterns we saw in this journey.

The Problem

The majority of software companies are moving from Monolithic architecture to Microservices architecture, and Microservices architecture is taking over the software industry day-by-day. While monolithic architecture has many benefits, it also has so many shortcomings when catering to modern software development needs. With those shortcomings of monolithic architecture, it is very difficult to meet the demand of the modern-world software requirements and as a result, microservices architecture is taking control of the software development aggressively. The Microservices architecture enables us to deploy our applications more frequently, independently, and reliably meeting modern-day software application development requirements.

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Microservice is an architectural style that made up of smaller (micro) applications that communicate with each other, through open protocols like HTTP. Microservices have a much simpler and direct communication mechanism. Microservices typically deployed Docker platforms in the cloud environment will get maximum benefit.

Microservices architecture’s main aim is to break down the applications into smaller applications for maintainability and address the particular functionality. Microservices are scalable, and the maintainability of the application was as typical in monolithic applications. Below are some of the benefits of microservices architecture

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How would an API gateway or service mesh be used to migrate an application to a more modern way of working? 

When discussing the development impact on existing applications while transitioning to microservices, there are five questions that keep popping up in one form or another. They are the same regardless of the size of the organization and seem to become part of strategy discussions later in the process as organizations move towards microservice architectures.

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