GitHub Actions play an important role in automating software development processes and optimizing CI/CD (Continuous Integration and Continuous Deployment) workflows. In this article, we will go beyond the commonly known features of GitHub Actions. We focus on its advanced functionalities that most developers have not fully explored yet.
One common challenge DevOps practitioners face is dealing with server restarts. Server restarts due to system updates, hardware issues, or planned maintenance. And if this disruption is not managed properly, it can disrupt the availability of applications. In this article you will find how to automatically start a Node.js backend application using systemd via PM2.
Learn how to set up AWS CloudWatch Agent for comprehensive monitoring needs. Monitor custom metrics, collect data from local servers, and visualize with Grafana. Enhance your AWS infrastructure management today.
Unlock the power of data visualization with Grafana! Follow our step-by-step guide to seamlessly integrate AWS CloudWatch. This will empower you to transform raw metrics into stunning, interactive dashboards. Elevate your data journey and make informed decisions effortlessly.
Explore Grafana, an open-source marvel for visualization and monitoring. From real-time alerts to dynamic dashboard editing, Grafana is your key to optimized performance and data-driven decisions. Unleash comprehensive data management in today’s tech landscape.
Explore GitHub Actions for efficient CI/CD! Learn automation, customize workflows, and deploy seamlessly. Discover events, runners, and actions. Follow step-by-step examples, use marketplace workflows, and build robust pipelines for enhanced software reliability.
GitHub Actions revolutionizes Software Development—seamless code integration, automated testing, and efficient deployment. From collaborative coding to parallel processes, it accelerates cycles for high-quality software. Stay innovative with GitHub Actions.
Discover the power of integrating data catalogs with visualization tools. Enhance data quality, streamline preparation, and ensure governance. Explore real-world examples, best practices, and overcome challenges for optimal utilization in today’s data-driven landscape.
