Operations | Monitoring | ITSM | DevOps | Cloud

CI/CD is an approach to software development that combines continuous integration (CI) and continuous delivery (CD). CI/CD makes developing apps faster, safer, and more efficient. In front-end development, CI/CD becomes even more valuable as developers frequently test, build, and deploy applications. Automating this process reduces the need for developers to manually carry out these tasks, boosting efficiency and reliability.

For a tool like Netdata, monitoring crashes and abnormal events extends far beyond bug fixing—it’s essential for identifying edge cases, preventing regressions, and delivering the most dependable observability experience possible. With millions of daily downloads, each event provides a vital signal for maintaining the integrity of our systems.

There’s an old cliche about sales and jobs to be done - no one wants to buy a drill, they need a hole… actually, they want a home with pictures on the wall. To get to that beautifully designed home, they will buy a drill, make holes for brackets that can support their various artwork and family photos, and progress toward their dream home experience. Similarly, no one wants to buy observability software. They want their mean time to resolve (MTTR) issues to be zero.

The AI (artificial intelligence) landscape wouldn’t be where it is today without AI-as-a-service (AIaaS) providers like OpenAI, AWS, and Google Cloud. These companies have made running AI models as easy as clicking a button. As a result, more applications have been able to use AI services for data analysis, content generation, media production, and much more.

In 2020, we launched the Google Sheets data source for Grafana, providing organizations with real-time data visualization capabilities for all their go-to spreadsheets. Since then, thousands of users have installed the data source to quickly and easily derive insights from their spreadsheet data. In this blog post, we’ll explore key features of the Google Sheets data source, as well as some helpful resources to install and start using the data source today.

According to McKinsey research, 70% of digital transformation projects fail to meet the stated goals. Depending on the reasons for launching a digital transformation project, this failure can lead to loss of productivity, security, profitability, or any other number of costly outcomes. In today’s competitive landscape, businesses cannot afford this failure – and yet it continues. Why?