DevOps

Learn how GitLab DevSecOps empowers enterprises to balance innovation and security. Gain leadership insights to transform development culture

Introduction to DevSecOps with GitLab CI/CD

In today’s fast-paced world of software development, the need for security and efficiency has never been more critical. DevOps practices have transformed the way we build, test, and deploy software, enabling faster delivery and collaboration between development and operations teams. However, with the ever-evolving landscape of security threats, it has become evident that simply practicing …

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Explore the future of DevSecOps through the lens of AI-powered innovationand its potential for driving progress.

The Future of Software Development: AI and DevSecOps

Welcome to DevSecOps and Artificial Intelligence (AI) in software development. In this opening chapter, we embark on a journey to understand the profound significance of AI in the DevSecOps landscape and navigate the complexities of modern software development. Let’s dive in. 1.1. Understanding the Significance of AI in DevSecOps In recent years, the software development …

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introduction to DevOps, explaining its significance in the tech industry and identifying the target audience for learning DevOps

If It’s Time To Learn DevOps, Here’s Where To Begin

1.1 Understanding the Significance of DevOps In today’s rapidly evolving tech landscape, the term “DevOps” has become increasingly significant. DevOps, a portmanteau of “development” and “operations,” represents a cultural and technical movement that aims to bridge the gap between software development and IT operations. This chapter delves into the evolution of DevOps in the tech …

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Discover how Generative AI revolutionizes error resolution in DevOps. Automate investigation, reduce MTTR, and gain AI insights.

Harnessing Generative AI for Efficient in DevOps

In the ever-evolving landscape of digital services, pursuing peak performance is not just a goal; it’s a necessity. The speed and reliability of cloud-based and online services can make or break a company’s competitive edge. A single instance of Downtime or a frustrating latency issue can send customers fleeing to the welcoming arms of a …

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Discover GitLab's DevOps Excellence: Streamline SCM and CI for Greater Efficiency and Reduced Risk in Your Projects.

Breaking Down Barriers: GitLab and Jenkins in Modern DevOps

Welcome to the world of modern DevOps and the pivotal GitLab vs. Jenkins showdown. In this opening chapter, we’ll set the stage for our exploration into the realm of these powerful DevOps tools. The software development and delivery landscape has evolved rapidly over the years, giving rise to the need for more efficient, streamlined, and …

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Overcome CI/CD Challenges - Learn how to tackle common obstacles and streamline your CI/CD workflows for faster development and fewer errors.

The Advantages of Implementing CI/CD

In the fast-paced world of modern software development, staying competitive and delivering high-quality software is paramount. This chapter provides an overview of Continuous Integration and Delivery (CI/CD) and emphasizes its significance in streamlining development processes. 1.1. Overview of CI/CD in Modern Software Development The Need for Speed In the ever-evolving landscape of software development, agility …

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OpenSearch—a dynamic, open-source, distributed search, log analytics, and data visualization technology gaining significant traction.

The Comprehensive Guide to OpenSearch for Observability

Welcome to the definitive guide to OpenSearch for observability. This comprehensive resource will delve into the world of OpenSearch—a dynamic, open-source, distributed search, log analytics, and data visualization technology gaining significant traction within DevOps organizations. Table of Contents – The emergence and growth of OpenSearch – The fundamental components of OpenSearch – The main applications …

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The Potential of Kubernetes Service in DevOps for Machine Learning

The Potential of Kubernetes Service in DevOps for Machine Learning

DevOps is a discipline that combines software development (Dev) and IT operations (Ops), leading to faster system development life cycles and continuous delivery of high-quality software. The growth of data and increased focus on machine learning (ML) have influenced a significant shift in the DevOps landscape, which is why integrating ML into DevOps – or …

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