When the world went remote in March 2020, cloud technologies made work possible. Rapid digital transformation changed everyone’s jobs, whether in-office, remote, or hybrid. Today, your business relies on network speed for everything from productivity to customer service. Keeping your company’s services running means you need to make sure you have low-latency connectivity across data centers, users, and cloud.
There are more than a million reasons (and Grafana instances!) that have made 2022 a standout year at Grafana Labs. But here are the top 10 releases, products, company milestones, and major announcements that were off the charts.
One tool for all your Python performance tracking needs We're building this neat service in Python to ingest data in Elasticsearch from various sources (MySQL, Network Drive, AWS, etc.) for Enterprise Search. Sucking data from a third-party service to Elasticsearch is usually an I/O-bound activity. Your code sits on opened sockets and passes data from one end to the other. That's a great use case for an asynchronous application in Python, but it needs to be carefully crafted.
One of the game changers in modern software development is Continuous Integration and Continuous Development (CI/CD). Both large, established organizations and small, growing companies use CI/CD to deliver software faster and to detect bugs in the software lifecycle. In this tutorial, I’ll create a full pipeline to practice CI/CD using Jenkins, including how to set up Jenkins on Docker. I’ll give an in-depth view of a Jenkins pipeline example using Jenkinsfile.
Security automation tools can be the first step in preventing IT fires from happening. When IT teams dedicate time to extinguishing security and compliance fires, they’re missing out on valuable time to spend tackling bigger goals. Let’s explore some ways to make your IT fireproof using the preventative power of security automation.
In the world of observability, there are several distinct problems to solve. Fast queries, intuitive visualizations, scalable storage, and more. The technical problems receive the most attention; however, there is another, more subtle problem. How do observability platforms facilitate collaboration on the scale needed by organizations?