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Automated Rollback Using AI for Cloud-Native Applications

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Introduction     Cloud-native applications, built using microservices and containerization, offer advantages like scalability and agility. However, rapid deployments and complex environments can lead to unforeseen issues. Automated rollback, the ability to revert to a previous application version, becomes crucial in such scenarios. This whitepaper explores the potential of Artificial Intelligence (AI) in automating rollbacks for cloud-native applications, ensuring swift recovery and minimizing downtime. A Typical diagram depicts a PCF deployment flow with CUPS Services                                                                     
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Integrating Helm Charts in GitLab

Integrate Helm Charts in GitLab Pipelines & Streamline Your Application Deployments Introduction: As organizations embrace cloud-native architectures and containerization, deploying applications efficiently and consistently becomes paramount. Helm, a popular package manager for Kubernetes, simplifies the deployment and management of applications by defining and managing Kubernetes resources as charts. GitLab, a powerful DevOps platform, offers robust CI/CD capabilities with its pipelines feature. By integrating Helm charts into GitLab pipelines, you can automate the deployment of your applications, enabling seamless and reliable releases. In this article, we will explore the steps to integrate Helm charts into GitLab pipelines and reap the benefits of streamlined application deployments. Table of Contents: 1. Overview of Helm Charts 2. GitLab Pipelines: An Introduction 3. Benefits of Integrating Helm Charts in GitLab Pipelines 4. Setting Up GitLab Pipeline for Helm Chart Deployment...
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How AI tools like ChatGPT, Bard and Bing Makes DevOps Work Easier

Introduction: As a DevOps professional, staying up-to-date on the latest tools and technologies is crucial for success. I'll explore how AI tools can be used to search for information on GitLab, Bash, Python, Kubernetes, and various DevOps tools and how they can make DevOps work easier. GitLab: GitLab is a popular tool for source code management, and it is commonly used for version control, CI/CD pipelines, and project management.  Whenever there is an issue or a need to learn something new about GitLab, AI tools can come in handy. For instance, one can ask like, "How can I configure GitLab to run tests automatically on every commit?" or "What are some best practices for managing GitLab projects?" AI tools provide relevant information and resources, which can help in working more efficiently. Bash, Python & Powershell: As a DevOps professional, one may spend a lot of time working with Windows & Linux systems and writing Bash, Python, and Powershell scrip...
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