ARTICLES

  • Serverless Computing: The Future of Scalable Cloud Applications?

    The landscape of cloud computing has evolved dramatically over the last decade, culminating in the revolutionary concept of serverless computing. No longer are applications bound to the rigid framework of traditional server infrastructures; serverless computing has paved the way for developers to build and run applications without the need to manage servers. This approach to cloud services is rapidly reshaping how businesses deploy and scale applications, making serverless architectures a focal point of modern IT strategies. What Is Serverless Computing? In essence, serverless computing enables developers to write and deploy code without dealing with the underlying infrastructure. The cloud provider dynamically manages the allocation and provisioning of servers. A serverless architecture is highly scalable and event-driven, typically running code in response to HTTP requests, database events, queuing services, or file uploads.

  • Serverless Computing: The Future of Scalable Cloud Applications?

    The landscape of cloud computing has evolved dramatically over the last decade, culminating in the revolutionary concept of serverless computing. No longer are applications bound to the rigid framework of traditional server infrastructures; serverless computing has paved the way for developers to build and run applications without the need to manage servers. This approach to cloud services is rapidly reshaping how businesses deploy and scale applications, making serverless architectures a focal point of modern IT strategies. What Is Serverless Computing? In essence, serverless computing enables developers to write and deploy code without dealing with the underlying infrastructure. The cloud provider dynamically manages the allocation and provisioning of servers. A serverless architecture is highly scalable and event-driven, typically running code in response to HTTP requests, database events, queuing services, or file uploads.

  • Automating Policy Enforcement in Kubernetes Using OPA: A Step-By-Step Tutorial

    In the rapidly evolving world of cloud-native technologies, Kubernetes has emerged as the de facto orchestration tool, enabling businesses to deploy, manage, and scale containerized applications with unparalleled efficiency. However, as the complexity of deployments grows, ensuring compliance and governance across Kubernetes clusters becomes increasingly challenging. This is where Open Policy Agent (OPA) steps in, offering a powerful, open-source, general-purpose policy engine that decouples policy decision-making from policy enforcement. In this tutorial, I will guide you through automating policy enforcement in Kubernetes using OPA, providing a practical, step-by-step approach to integrating OPA into your Kubernetes environment. Introduction to OPA and Kubernetes Integration OPA provides a high-level declarative language, Rego, which allows you to specify policy as code and query the policies to make decisions. When integrated with Kubernetes, OPA intercepts API server requests to enforce custom policies, ensuring every request complies with the defined rules before it is executed. This capability is crucial for implementing security policies, best practices, and compliance requirements.

  • Automating Policy Enforcement in Kubernetes Using OPA: A Step-By-Step Tutorial

    In the rapidly evolving world of cloud-native technologies, Kubernetes has emerged as the de facto orchestration tool, enabling businesses to deploy, manage, and scale containerized applications with unparalleled efficiency. However, as the complexity of deployments grows, ensuring compliance and governance across Kubernetes clusters becomes increasingly challenging. This is where Open Policy Agent (OPA) steps in, offering a powerful, open-source, general-purpose policy engine that decouples policy decision-making from policy enforcement. In this tutorial, I will guide you through automating policy enforcement in Kubernetes using OPA, providing a practical, step-by-step approach to integrating OPA into your Kubernetes environment. Introduction to OPA and Kubernetes Integration OPA provides a high-level declarative language, Rego, which allows you to specify policy as code and query the policies to make decisions. When integrated with Kubernetes, OPA intercepts API server requests to enforce custom policies, ensuring every request complies with the defined rules before it is executed. This capability is crucial for implementing security policies, best practices, and compliance requirements.

  • Streamlining AWS Lambda Deployments

    In today's rapidly evolving technology landscape, the ability to quickly and reliably deploy applications is a competitive edge for any organization. AWS Lambda, a serverless computing service from Amazon Web Services (AWS), allows developers to run code without provisioning or managing servers. However, managing AWS resources and deploying applications can become complex as projects grow. This is where AWS CloudFormation and Git-based CI/CD pipelines come into play, automating and streamlining the deployment process to ensure efficiency, consistency, and reliability. Understanding AWS Lambda AWS Lambda is a high-demand service offering from AWS that enables running code in response to triggers such as changes in data, shifts in system state, or user actions. Lambda functions can perform a variety of tasks, from updating databases to processing streaming data in real time. The beauty of AWS Lambda lies in its serverless nature, which abstracts the underlying infrastructure management tasks, allowing developers to focus solely on writing code.

  • Streamlining AWS Lambda Deployments

    In today's rapidly evolving technology landscape, the ability to quickly and reliably deploy applications is a competitive edge for any organization. AWS Lambda, a serverless computing service from Amazon Web Services (AWS), allows developers to run code without provisioning or managing servers. However, managing AWS resources and deploying applications can become complex as projects grow. This is where AWS CloudFormation and Git-based CI/CD pipelines come into play, automating and streamlining the deployment process to ensure efficiency, consistency, and reliability. Understanding AWS Lambda AWS Lambda is a high-demand service offering from AWS that enables running code in response to triggers such as changes in data, shifts in system state, or user actions. Lambda functions can perform a variety of tasks, from updating databases to processing streaming data in real time. The beauty of AWS Lambda lies in its serverless nature, which abstracts the underlying infrastructure management tasks, allowing developers to focus solely on writing code.

  • Unlocking the Power of Oracle NoSQL With Quarkus: Seamless Integration for Cloud-Age Applications

    In today’s digital landscape, the demand for scalable, high-performance databases that can seamlessly integrate with modern application frameworks is ever-growing. While reliable, traditional relational databases often need help keeping pace with the dynamic requirements of cloud-native applications. It has led to the rise of NoSQL databases, offering flexibility, scalability, and performance tailored to the demands of modern applications. This article delves into the synergy between Oracle NoSQL and Quarkus, exploring how their integration empowers Java developers to build robust, cloud-native applications efficiently. Oracle NoSQL is a distributed key-value database designed for real-time, low-latency data processing at scale. It provides a flexible data model, allowing developers to store and retrieve data without the constraints of a fixed schema. Leveraging a distributed architecture, Oracle NoSQL ensures high availability, fault tolerance, and horizontal scalability, making it ideal for handling large volumes of data in cloud environments. With features like automatic sharding, replication, and tunable consistency levels, Oracle NoSQL offers the performance and reliability required for modern applications across various industries.

  • Unlocking the Power of Oracle NoSQL With Quarkus: Seamless Integration for Cloud-Age Applications

    In today’s digital landscape, the demand for scalable, high-performance databases that can seamlessly integrate with modern application frameworks is ever-growing. While reliable, traditional relational databases often need help keeping pace with the dynamic requirements of cloud-native applications. It has led to the rise of NoSQL databases, offering flexibility, scalability, and performance tailored to the demands of modern applications. This article delves into the synergy between Oracle NoSQL and Quarkus, exploring how their integration empowers Java developers to build robust, cloud-native applications efficiently. Oracle NoSQL is a distributed key-value database designed for real-time, low-latency data processing at scale. It provides a flexible data model, allowing developers to store and retrieve data without the constraints of a fixed schema. Leveraging a distributed architecture, Oracle NoSQL ensures high availability, fault tolerance, and horizontal scalability, making it ideal for handling large volumes of data in cloud environments. With features like automatic sharding, replication, and tunable consistency levels, Oracle NoSQL offers the performance and reliability required for modern applications across various industries.

  • Security Best Practices for Docker Images

    Docker images play a pivotal role in containerized application deployment. They encapsulate your application and its dependencies, ensuring consistent and efficient deployment across various environments. However, security is a paramount concern when working with Docker images. In this guide, we will explore security best practices for Docker images to help you create and maintain secure images for your containerized applications. 1. Introduction The Significance of Docker Images Docker images are at the core of containerization, offering a standardized approach to packaging applications and their dependencies. They allow developers to work in controlled environments and empower DevOps teams to deploy applications consistently across various platforms. However, the advantages of Docker images come with security challenges, making it essential to adopt best practices to protect your containerized applications.

  • Security Best Practices for Docker Images

    Docker images play a pivotal role in containerized application deployment. They encapsulate your application and its dependencies, ensuring consistent and efficient deployment across various environments. However, security is a paramount concern when working with Docker images. In this guide, we will explore security best practices for Docker images to help you create and maintain secure images for your containerized applications. 1. Introduction The Significance of Docker Images Docker images are at the core of containerization, offering a standardized approach to packaging applications and their dependencies. They allow developers to work in controlled environments and empower DevOps teams to deploy applications consistently across various platforms. However, the advantages of Docker images come with security challenges, making it essential to adopt best practices to protect your containerized applications.

  • Automating Efficiency: Setting Up Autoscaling in AWS RDS SQL Server Instances

    Automating tasks in cloud environments like Amazon Web Services (AWS) can significantly enhance efficiency, reduce manual workload, and ensure that operations run smoothly and reliably. When it comes to AWS Relational Database Service (RDS) for SQL Server, one valuable automation task is setting up auto-calling, which can automate various database operations such as backups, maintenance, and data processing. This article will guide you through the process of setting up auto-calling in an AWS RDS SQL Server instance, highlighting key considerations and steps to ensure successful implementation. Understanding AWS RDS and SQL Server AWS RDS is a managed relational database service that simplifies the setup, operation, and scaling of a relational database in the cloud. It provides cost-effective resizable capacity while automating arduous admin tasks such as hardware provisioning, database setup, patching, and backups. SQL Server on AWS RDS offers the same capabilities as on-premises SQL Server but with the added benefits of the cloud.

  • Automating Efficiency: Setting Up Autoscaling in AWS RDS SQL Server Instances

    Automating tasks in cloud environments like Amazon Web Services (AWS) can significantly enhance efficiency, reduce manual workload, and ensure that operations run smoothly and reliably. When it comes to AWS Relational Database Service (RDS) for SQL Server, one valuable automation task is setting up auto-calling, which can automate various database operations such as backups, maintenance, and data processing. This article will guide you through the process of setting up auto-calling in an AWS RDS SQL Server instance, highlighting key considerations and steps to ensure successful implementation. Understanding AWS RDS and SQL Server AWS RDS is a managed relational database service that simplifies the setup, operation, and scaling of a relational database in the cloud. It provides cost-effective resizable capacity while automating arduous admin tasks such as hardware provisioning, database setup, patching, and backups. SQL Server on AWS RDS offers the same capabilities as on-premises SQL Server but with the added benefits of the cloud.

  • Tips To Help GitHub Admins Prepare A Company For SOC 2 And ISO 27001 Audits

    Who doesn’t want to be treated as a safe, trustworthy, and reliable business? It’s hard to find anybody in the IT or cybersecurity area who would say that they don’t. That is the reason why everybody who works with data wants to obtain SOC 2 and ISO/IEC 27001 compliance.  SOC 2 Compliance: Whats and Whys When a company is SOC 2 compliant, it guarantees that it maintains a high level of information security and meets all the necessary criteria the Audit demands, such as Security, Availability, Processing Integrity, Confidentiality, and Privacy. 

  • Logging and Monitoring in a Docker Environment

    Docker, the main containerization technology, has transformed application packaging and deployment. While Docker makes it easier to execute apps, it is also critical to monitor and log your Dockerized environments to ensure they are working properly and stay safe. In this post, we’ll go into the realm of Docker logging and monitoring, looking at the best practices, tools, and techniques for keeping your containerized apps operating smoothly. The Importance of Logging and Monitoring Before we dive into the technical aspects of logging and monitoring in a Docker environment, let’s understand why these activities are crucial in a containerized setup.

  • Logging and Monitoring in a Docker Environment

    Docker, the main containerization technology, has transformed application packaging and deployment. While Docker makes it easier to execute apps, it is also critical to monitor and log your Dockerized environments to ensure they are working properly and stay safe. In this post, we’ll go into the realm of Docker logging and monitoring, looking at the best practices, tools, and techniques for keeping your containerized apps operating smoothly. The Importance of Logging and Monitoring Before we dive into the technical aspects of logging and monitoring in a Docker environment, let’s understand why these activities are crucial in a containerized setup.

  • Automation Testing on Cloud: Flexible, Scalable, Powerful

    Cloud technologies have taken the world by storm, allowing people to save their resources and time significantly for computing needs. They eliminate the need to spend money, time, and effort on setting up and maintaining a physical infrastructure. As a result, most development companies are shifting to cloud technologies to improve their overall. This rapid increase in the shift to cloud technologies has stimulated the adoption of automation testing on the cloud. It refers to utilizing cloud computing environments to test software solutions and their individual components for the intended functionality. 

  • Orchestrating dbt Workflows: The Duel of Apache Airflow and AWS Step Functions

    Think of data pipeline orchestration as the backstage crew of a theater, ensuring every scene flows seamlessly into the next. In the data world, tools like Apache Airflow and AWS Step Functions are the unsung heroes that keep the show running smoothly, especially when you're working with dbt (data build tool) to whip your data into shape and ensure that the right data is available at the right time. Both tools are often used alongside dbt (data build tool), which has emerged as a powerful tool for transforming data in a warehouse.  In this article, we will introduce dbt, Apache Airflow, and AWS Step Functions and then delve into the pros and cons of using Apache Airflow and AWS Step Functions for data pipeline orchestration involving dbt. A note that dbt has a paid version of dbt cloud and a free open source version; we are focussing on dbt-core, the free version of dbt.

  • Safe Clones With Ansible

    I started research for an article on how to add a honeytrap to a GitHub repo. The idea behind a honeypot weakness is that a hacker will follow through on it and make his/her presence known in the process.  My plan was to place a GitHub personal access token in an Ansible vault protected by a weak password. Should an attacker crack the password and use the token to clone the private repository, a webhook should have triggered and mailed a notification that the honeypot repo has been cloned and the password cracked. 

  • Unleashing the Power of Git Bisect

    We don't usually think of Git as a debugging tool. Surprisingly, Git shines not just as a version control system, but also as a potent debugging ally when dealing with the tricky matter of regressions. The Essence of Debugging with Git Before we tap into the advanced aspects of git bisect, it's essential to understand its foundational premise. Git is known for tracking changes and managing code history, but the git bisect tool is a hidden gem for regression detection. Regressions are distinct from generic bugs. They signify a backward step in functionality—where something that once worked flawlessly now fails. Pinpointing the exact change causing a regression can be akin to finding a needle in a haystack, particularly in extensive codebases with long commit histories.

  • Launch Your Ethereum Donation dApp Today: Easy Steps With MetaMask, Alchemy, and GitHub Codespaces

    In the rapidly evolving world of blockchain technology, building decentralized applications (dApps) presents a unique opportunity for developers to explore the potential of Ethereum and smart contracts. This article aims to guide you through the process of creating a simple yet functional dApp, "BuyACoffee," designed to receive acknowledgments from the readers of Brainupgrade. We'll use the Ethereum test network Sepolia and platforms like Alchemy and MetaMask for wallet management. Step 1: Setting up MetaMask MetaMask is a popular Ethereum wallet and a gateway to blockchain apps. Here's how to create a new wallet for our project:

  • Insights From AWS Re:Invent 2023

    AWS re:Invent is an annual conference hosted by Amazon Web Services. AWS re:Invent 2023 stood out as a beacon of innovation, education, and vision in cloud computing. Held in Las Vegas, Nevada, spread over five days, the conference was one of the largest gatherings in the cloud sector, attracting an estimated 65,000+ attendees from around the globe. Having had the privilege to attend this year (2023), I am excited to share the key takeaways from the conference and interactions with some of the brightest minds in cloud computing. I aim to inspire and shed light on the expansive possibilities cloud technology offers. AWS Aurora Limitless Database In today’s world, enterprise applications typically rely on backend databases to host all the data necessary for the application. As you add new capabilities to your application or there is a growth in the customer base on your application, the volume of data hosted by the database surges rapidly, and the number of transactions that require database interaction increases significantly.

  • AWS vs. Azure: Which Is Better for Cloud Computing?

    Cloud computing first came to light during the mid-2000s, with providers like Amazon Web Services (AWS), Microsoft’s Azure, and Google Cloud Platform (GCP) taking charge. Over the years, Cloud computing has been gaining popularity and has seen exponential growth and adaptability in the last decade. In fact, the global cloud infrastructure spending reached US$247.1 Billion in 2022 and is expected to grow further by 23% in 2023. Today, there are several service providers in the Cloud computing space with a variety of offerings such as pocket-friendly costs, easy setup options, and state-of-the-art security. As a result, more and more companies are migrating their infrastructure to Cloud platforms to take advantage of various business benefits associated with their adoption.

  • MLOps vs. DevOps: The Key Similarities and Differences

    DevOps has been an integral part of software development for the last 15 years. The ‘shift left’ culture, as it is popularly known, is employed across various organizations as it introduced new technologies, automation, and people systems to help shorten the software development lifecycle and provide continuous delivery of high-quality software. With the rise of Artificial Intelligence in recent years, the structure of how enterprises are delivering and consuming AI has changed drastically with the proliferation of open-source technology. MLOps is the logical reaction to the current difficulties enterprises face putting machine learning into production.

  • ‘Top’ Reporting Accurate Metrics Within Containers

    “Top” is a robust, lightweight command-line tool that provides real-time reports on system-wide resource utilization. It is commonly available in various Linux distributions. However, we have observed that it may not accurately report information when executed within a Docker container. This post aims to bring this issue to your attention. CPU Stress Test in Docker Container Let’s carry out a straightforward experiment. We’ll deploy a container using an Ubuntu image and intentionally increase CPU consumption. Execute the following command:

  • ‘Top’ Reporting Accurate Metrics Within Containers

    “Top” is a robust, lightweight command-line tool that provides real-time reports on system-wide resource utilization. It is commonly available in various Linux distributions. However, we have observed that it may not accurately report information when executed within a Docker container. This post aims to bring this issue to your attention. CPU Stress Test in Docker Container Let’s carry out a straightforward experiment. We’ll deploy a container using an Ubuntu image and intentionally increase CPU consumption. Execute the following command:

  • Disaster Recovery and High Availability Solutions in SQL Server

    When managing a database, ensuring data availability and integrity is paramount, especially in the face of hardware failures, software bugs, or natural disasters. SQL Server offers a suite of features designed to provide high availability (HA) and disaster recovery (DR) solutions. This article delves into the technical aspects of SQL Server's HA and DR options. These include always-on availability groups, database mirroring, log shipping, and replication. We'll also cover strategies for implementing a disaster recovery plan through a simulation/example. Always-On Availability Groups Always-on availability groups (henceforth referred to as AGs in this article) in SQL Server mark a significant advancement in database technology, enhancing the landscape of high availability (HA), disaster recovery (DR), and read-scale capabilities beyond what was previously achievable with database mirroring. Introduced in SQL Server 2012, AGs offer a sophisticated, scalable solution designed to ensure continuous data availability and system resilience across a range of scenarios.

  • A Deep Dive Into Data Orchestration With Airbyte, Airflow, Dagster, and Prefect

    This article delves into the integration of Airbyte with some of the most popular data orchestrators in the industry – Apache Airflow, Dagster, and Prefect. We'll not only guide you through the process of integrating Airbyte with these orchestrators but also provide a comparative insight into how each one can uniquely enhance your data workflows. We also provide links to working code examples for each of these integrations. These resources are designed for quick deployment, allowing you to seamlessly integrate Airbyte with your orchestrator of choice.

  • Building and Integrating REST APIs With AWS RDS Databases: A Node.js Example

    Building a REST API to communicate with an RDS database is a fundamental task for many developers, enabling applications to interact with a database over the internet. This article guides you through the process of creating a RESTful API that talks to an Amazon Relational Database Service (RDS) instance, complete with examples. We'll use a popular framework and programming language for this demonstration: Node.js and Express, given their widespread use and support for building web services. Prerequisites Before we begin, ensure you have the following:

  • The Top .NET Framework Trends in 2024: Insights and Projections

    The .NET Framework continues to be a cornerstone for developers worldwide, offering a versatile and robust environment for building a wide range of applications. Microsoft's steadfast commitment to innovation and community-driven enhancements has seen .NET evolve to meet the ever-changing demands of the tech landscape. This year, several key trends are shaping the .NET ecosystem, driven by broader industry movements, technological advancements, and developer community feedback. Drawing from industry insights and projections from leading market research firms like Forrester and Gartner, we explore the most impactful .NET Framework trends in 2024. Embracing .NET 6 and Beyond: A Leap Toward Unified Development One of the most significant shifts observed is the widespread adoption of .NET 6 and its successors, marking a pivotal move towards a unified development platform. Microsoft's vision for a "One .NET" ecosystem aims to streamline the development process across web, desktop, mobile, and cloud applications. According to a Gartner report, over 75% of .NET developers are projected to migrate to .NET 6 or later versions by the end of 2024, leveraging the enhanced performance, reduced complexity, and improved productivity these versions offer.

  • Safeguarding Web Applications With Cloud Service Providers: Anti-CSRF Tokenization Best Practices

    Cloud services have transformed organizational approaches to security, presenting a range of tools and features to strengthen defenses against evolving threats. This study examines the multifaceted involvement of cloud service providers in enhancing security through Anti-CSRF tokenization and the establishment of effective Intrusion Detection Systems (IDS). Subsequently, it investigates how top cloud service providers specifically aid organizations in implementing and refining Anti-CSRF tokenization strategies to counter Cross-Site Request Forgery (CSRF) attacks, thereby reinforcing web application security.  The study delves into the essential role played by cloud-managed service providers in designing, deploying, and managing IDS solutions, illustrating how their expertise and resources contribute to robust threat detection and response capabilities. Begin by assessing your current software development processes and identifying areas where CSRF vulnerabilities exist. Evaluate your existing security measures. Establish clear objectives and targets for integrating Anti-CSRF tokenization and enhancing the software development life cycle (SDLC). Incorporate Anti-CSRF tokenization protocols into the initial phases of the software development lifecycle. 

  • Continuous Integration and Continuous Delivery for Database Changes

    DevOps proposes Continuous Integration and Continuous Delivery (CI/CD) solutions for software project management. In CI/CD, the process of software development and operations falls into a cyclical feedback loop, which promotes not only innovation and improvements but also makes the product quickly adapt to the changing needs of the market. So, it becomes easy to cater to the needs of the customer and garner their satisfaction. The development team that adopts the culture becomes agile, flexible, and adaptive (called the Agile development team) in building an incremental quality product that focuses on continuous improvement and innovation. One of the key areas of CI/CD is to address changes. The evolution of software also has its effect on the database as well. Database change management primarily focuses on this aspect and can be a real hurdle in collaboration with DevOps practices which is advocating automation for CI/CD pipelines. Automating database change management enables the development team to stay agile by keeping database schema up to date as part of the delivery and deployment process. It helps to keep track of changes critical for debugging production problems.

  • The DevOps Toolchain

    In this article, we’ll be looking at the core technology categories and specific technologies that help you realize your DevOps objectives. What Is a DevOps Toolchain? A DevOps toolchain is a set of integrated tools that facilitate and automate the processes involved in software development, testing, deployment, and operations within a DevOps framework. It spans the entire software development lifecycle, aiming to streamline collaboration, enhance efficiency, and ensure continuous delivery. The toolchain typically includes tools for version control, build automation, continuous integration, continuous deployment, configuration management, monitoring, and collaboration. 

  • The DevOps Toolchain

    In this article, we’ll be looking at the core technology categories and specific technologies that help you realize your DevOps objectives. What Is a DevOps Toolchain? A DevOps toolchain is a set of integrated tools that facilitate and automate the processes involved in software development, testing, deployment, and operations within a DevOps framework. It spans the entire software development lifecycle, aiming to streamline collaboration, enhance efficiency, and ensure continuous delivery. The toolchain typically includes tools for version control, build automation, continuous integration, continuous deployment, configuration management, monitoring, and collaboration. 

  • Deploying MuleSoft Using Azure DevOps

    Continuous Integration and Continuous Delivery (CI/CD) have become common practices in developing high-quality applications because they promote scaling and shorten the time between coding and deployment. Mulesoft is a popular integration platform that streamlines data integration across disparate systems. The predefined APIs have support for all types of applications where data can be unlocked between legacy systems, applications, and cloud devices. This highly networked MuleSoft Anypoint platform enables smarter and faster decision-making abilities in an organization. Azure DevOps, on the other hand, provides version control, reporting, requirements management, project management, automated builds, lab management, testing, and release management capabilities. In short, it covers the entire software development lifecycle and enables organizations to automate the software delivery process. The variety of services leverages the collaboration and development of any project.

  • Deploying MuleSoft Using Azure DevOps

    Continuous Integration and Continuous Delivery (CI/CD) have become common practices in developing high-quality applications because they promote scaling and shorten the time between coding and deployment. Mulesoft is a popular integration platform that streamlines data integration across disparate systems. The predefined APIs have support for all types of applications where data can be unlocked between legacy systems, applications, and cloud devices. This highly networked MuleSoft Anypoint platform enables smarter and faster decision-making abilities in an organization. Azure DevOps, on the other hand, provides version control, reporting, requirements management, project management, automated builds, lab management, testing, and release management capabilities. In short, it covers the entire software development lifecycle and enables organizations to automate the software delivery process. The variety of services leverages the collaboration and development of any project.

  • Setting Up Your Java Pipeline With Azure DevOps and Docker

    Understanding how to organize a pipeline from development to operation has, in my experience, proven to be quite the endeavor. This tutorial aims to tackle precisely this challenge by guiding you through the required tools necessary to deploy your code as Docker containers by going through the steps involved in creating a simple "Hello, World!" application (although preexisting projects are also easily applicable for this approach).  Whether you're a seasoned developer seeking to optimize your workflow or a newcomer eager to learn best practices, this tutorial will equip you with the knowledge and tools to streamline your development process effectively. Moreover, becoming proficient in this pipeline setup will greatly enhance your workflow, allowing you to deliver high-quality software faster, with fewer errors, and ultimately, better meet the demands of today's agile development environments.

  • Setting Up Your Java Pipeline With Azure DevOps and Docker

    Understanding how to organize a pipeline from development to operation has, in my experience, proven to be quite the endeavor. This tutorial aims to tackle precisely this challenge by guiding you through the required tools necessary to deploy your code as Docker containers by going through the steps involved in creating a simple "Hello, World!" application (although preexisting projects are also easily applicable for this approach).  Whether you're a seasoned developer seeking to optimize your workflow or a newcomer eager to learn best practices, this tutorial will equip you with the knowledge and tools to streamline your development process effectively. Moreover, becoming proficient in this pipeline setup will greatly enhance your workflow, allowing you to deliver high-quality software faster, with fewer errors, and ultimately, better meet the demands of today's agile development environments.

  • Build a .NET Core WebJob Console App CI/CD Using Azure DevOps Pipelines

    Web applications commonly require processes that run as background tasks and are scheduled at intervals at a specific time or triggered at an event. They do not require a fancy interface for IO because the focus is on the process rather than the output. Azure WebJobs provides excellent support to accomplish this through web console applications typically in a cloud environment. WebJob is a feature of Azure App Service that enables you to run a program or script in the same instance as a web app, API app, or mobile app. And Azure App Service is an HTTP-based service for hosting web applications, REST APIs, and mobile backends. The web console app in the .NET framework is easy to build and deploy WebJobs using Azure services. Moreover, the WebJobs console app can be easily configured for CI/CD using Azure DevOps Pipelines to automatically deploy the web app to Azure App Service on every successful build. Therefore, Azure pipelines enable build, testing, and deployment in a continuous integration(CI)/continuous delivery(CD) fashion using Azure DevOps services.

  • Build a .NET Core WebJob Console App CI/CD Using Azure DevOps Pipelines

    Web applications commonly require processes that run as background tasks and are scheduled at intervals at a specific time or triggered at an event. They do not require a fancy interface for IO because the focus is on the process rather than the output. Azure WebJobs provides excellent support to accomplish this through web console applications typically in a cloud environment. WebJob is a feature of Azure App Service that enables you to run a program or script in the same instance as a web app, API app, or mobile app. And Azure App Service is an HTTP-based service for hosting web applications, REST APIs, and mobile backends. The web console app in the .NET framework is easy to build and deploy WebJobs using Azure services. Moreover, the WebJobs console app can be easily configured for CI/CD using Azure DevOps Pipelines to automatically deploy the web app to Azure App Service on every successful build. Therefore, Azure pipelines enable build, testing, and deployment in a continuous integration(CI)/continuous delivery(CD) fashion using Azure DevOps services.

  • Jenkins: Publish Maven Artifacts to Nexus OSS Using Pipelines or Maven Jobs

    Jenkins, in conjunction with Nexus OSS, forms a powerful combination for managing the deployment of Maven artifacts. Crucial in the Software Development Life Cycle (SDLC), this process typically falls within the build and release phases of the SDLC, where automating artifact deployment ensures consistency, reliability, and efficiency. For developers and DevOps engineers, understanding how to seamlessly integrate Jenkins pipelines or Maven jobs with Nexus OSS for artifact publication is essential for streamlining software delivery.  In this article, we will cover the usage of Jenkins along with Nexus OSS and go through how we can publish Maven artifacts using Jenkins. Leveraging these tools effectively is the key to accelerating your development cycles and ensuring robust artifact management. Moreover, by mastering this integration, you'll gain the ability to automate artifact deployment with confidence, ultimately enhancing productivity and the quality of your software.