Scaling a Node JS Application

Whenever we build an awesome product we first build it standalone but sooner or later it attracts more users and then our minds start thinking about how to accommodate more users and there comes the need of scaling the application. Generally scaling means providing more elasticity to the application so that it can sustain the high influx of users and run smoothly without any glitches.

Software scalability is an attribute of a tool or a system to increase its capacity and functionalities based on its users’ demands. Scalable software can remain stable while adapting to changes, upgrades, overhauls, and resource reduction

The Most Popular Technologies for Java Microservices Right Now

My name is Viacheslav Aksenov, I am a backend developer and in recent years I have been writing web applications in Java/Kotlin. Throughout my practice, I have met with various systems both in production and in pet projects. Some systems had their own "bicycles," but most were based on very similar technical solutions.

The main idea of this article is to describe the main technical challenges facing modern web applications. And also list those frameworks and libraries that are most often used to solve these problems. We'll grab some infrastructure as a bonus.

The Role of CI/CD Pipeline in Software Development

The CI/CD pipeline includes continuous integration, delivery, and deployment. DevOps teams use it to generate, test, and release new software automatically. This pipeline benefits from regular software changes and a more collaborative and agile team process. You've probably heard about the benefits of CI/CD tools, which are used to provide code more frequently and reliably. Let's examine what it is and how it benefits software development.

What Does CI/CD Pipeline Stand For?

There are two abbreviations for CI and CD: CI stands for continuous integration and CD for continuous delivery and deployment. The software development methodology is known as Continuous Integration, and Continuous Deployment (CI/CD) is based on the idea that incremental code changes are made frequently and consistently. Continuous Integration (CI)-triggered automated build and test stages ensure that code changes submitted into the source are trustworthy.

Bind a cloud event to Knative

Events have become an essential piece of modern reactive systems. Indeed, events can be used to communicate from one service to another, trigger out-of-band processing, or send a payload to a service like Kafka. The problem is that event publishers may express event messages in any number of different ways, regardless of content. For example, some messages are payloads in JSON format to serialize and deserialize messages by application. Other applications use binary formats such as Avro and Protobuf to transport payloads with metadata. This is an issue when building an event-driven architecture that aims to easily integrate external systems and reduce the complexity of message transmission.

CloudEvents is an open specification providing a common format to describe events and increase interoperability. Many cloud providers and middleware stacks, including Knative, Kogito, Debezium, and Quarkus have adopted this format after the release of CloudEvents 1.0. Furthermore, developers need to decouple relationships between event producers and consumers in serverless architectures. Knative Eventing is consistent with the CloudEvents specification, providing common formats for creating, parsing, sending, and receiving events in any programming language. Knative Eventing also enables developers to late-bind event sources and event consumers. For example, a cloud event using JSON might look like this:

Chaos Engineering Make Disciplined Microservices

Chaos and discipline, These two words are an oxymoron, you might be thinking, how can chaos make disciplined microservices?

But the universal truth is discipline means the absence of chaos, so until you have not experienced chaos you can not be disciplined.

Performance Tuning in Microservices

Microservices architecture offers various advantages over Monolithic Architecture, some of which are listed below:

  • Loosely coupled architecture.
  • Easy to scale based on demand.
  • Small individual services based on business functionality.
  • The technology stack of each microservice can be different.

However, when transforming from a traditional monolithic architecture to microservices, the common bottleneck is performance. According to Perforce Developer (Perforce Survey) Survey:

Using Distributed Tracing in Microservices Architecture

Introduction

Distributed tracing for Microservices architecture is an emerging concept that is gaining momentum across internet-based business organizations.

We know that microservices architecture introduced an all-new way to scale an application (cloud) with several independent services. It does facilitate high resiliency, scalability, productivity, and efficiency when compared to monolithic architectures. 

Build Even Faster Quarkus Applications With fast-jar

Quarkus is already fast, but what if you could make inner loop development with the supersonic, subatomic Java framework even faster? Quarkus 1.5 introduced fast-jar, a new packaging format that supports faster startup times. Starting in Quarkus 1.12, this great feature became the default packaging format for Quarkus applications. This article introduces you to the fast-jar format and how it works.

Note: The ninth annual global Java developer productivity report found that more developers are implementing business applications with Quarkus. Quarkus’s support for live coding with fast startup and response times lets developers focus more on business logic implementations rather than wasting time on jobs such as recompiling and redeploying code and continuously restarting the runtime environment.

Most Influential IT Trends for 2021 on Ensuring Business Success

In many ways, technological advancement influences the course of the entire business sector. New and emerging technologies, as well as the tech solutions that are tried and tested, shape the future of companies operating in every industry in the world.

From modern office spaces to tech-driven assembly lines and warehouses, all the way to construction sites and digitized hospitals fighting the good fight during the pandemic – technology is the future of the business world as a whole.

10 Commandments of Microservice Decomposition

While we are talking about microservices, we talk a lot about Domain-Driven Design, Event-Driven Architecture, Core Domain, Subdomain, Bounded Context, Anti-corruption Layer, etc.

Whether you are working in a Brownfield project or a Greenfield project, if your organization wants to adopt microservices, (assuming your organization has a compelling reason for adopting microservices, as it is not a free lunch), then you need to understand the above terms in detail to properly decompose your business domain logic (Business Space) and map it with microservices architecture (Code Space), so you can gain the benefits of microservice traits.

Analyze Monolith Java Applications in Multiple CodeReady Workspaces With MTA (Migration Toolkit for Applications)

Introduction

Transforming monolithic Java applications into distributed, cloud-native microservices is never easy, but Red Hat’s migration toolkit for applications helps you understand and evaluate the migration path. As a developer, you can apply the following features to a broad range of transformation use cases:

  • Planning and work estimation.
  • Identifying migration issues and providing solutions.
  • Detailed reporting.
  • Built-in rules and migration paths.
  • Rule extensibility and customization.
  • Source code or application archive analysis.

This article guides you through configuring Red Hat’s migration toolkit for applications to analyze an existing monolithic Java application. We will set up our development environment in Red Hat CodeReady Workspaces. After that, I’ll show you how to use the toolkit to analyze migration issues and generate potential solutions.

Microservices and Serverless: Winning Strategies and Challenges

The concept of a microservice perfectly fits the structure of a serverless function, which easily enables deployment and runtime isolation for different services. On the storage side, services such as DynamoDB also make it easier to have independent databases for each microservice and scale them independently (when required or desirable).

Before we dive into details, please consider whether the benefits of Microservices abundantly outweigh its disadvantages for your particular project and team. Please, please don’t pick it because “it’s the trend.” More often than you may think, a Monolith is better and can be a “majestic” choice.

The Service Mesh in the Microservices World

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.

How to Develop Your Node.Js Docker Applications Faster

Docker has revolutionized how Node.js developers create and deploy applications. But developing a Node.js Docker application can be slow and clunky. The main culprit: the process for testing your code in development.

In this article, we’ll show a tutorial and example on how you can use Docker’s host volumes and nodemon to code faster and radically reduce the time you spend testing.

Break a Monolith to Microservices — 12 Best Practices and Design Principles

There was once a time when applications were traditionally developed as monoliths, being packaged into a bundle of code and deployed as a single unit; however, the complexity of sustaining a monolithic architecture coupled with product complexity and lack of speed to evolve has led to enterprises seeking new alternatives to sustainability, flexibility, and ease of integration.

While breaking a monolith and switching to microservice architecture seems easy, many enterprises tend to underestimate the overall complexity of the initiative and make catastrophic mistakes.