Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, we’re focusing on simple strategies to make software updates and patch management more efficient.
Since its launch in 2020, the Infinity data source for Grafana has become the go-to solution to seamlessly query and visualize data from JSON, CSV, XML, and GraphQL endpoints within Grafana. Allowing users to integrate diverse data formats via HTTP-based APIs, the Infinity data source has enabled a wide range of use cases within our community over the years — from visualizing cloud computing costs to popular Pokémon games.
As cloud infrastructure becomes more dynamic and distributed, DevOps and security teams need to quickly detect risks and understand their context: where those risks live, how critical they are, and how to respond effectively. By surfacing misconfigurations, vulnerabilities, sensitive data risks, and identity threats directly on a real-time diagram of your infrastructure, Cloudcraft helps teams identify, prioritize, and remediate security issues at scale.
From AWS to Zendesk, and across all teams, Ove at CLAAS explains a variety of approaches that go beyond traditional app monitoring. By focusing on the data itself, one can deliver deeper insights and a fuller understanding of your entire system.
Full Session Simulation is a powerful troubleshooting strategy. Have you ever been in a situation where everything on your dashboards looks green, but users are still encountering issues and raising support tickets?The cliche of “everything is fine on our side” moment is not just frustrating for everyone. It’s risky! Because when you can’t replicate what the user is experiencing, you’re flying blind.
Elastic featured in AWS Generative AI Hub for public sector Elastic is proud to be featured in the new AWS Generative AI Content Hub for public sector — a destination showcasing the most impactful ways agencies can securely adopt and scale generative AI (GenAI).
If you’ve worked in network operations, this scenario is all too familiar. Even the most seasoned teams and robust processes can’t escape reality: changes fail, misconfigurations happen, and the fallout is real–lost productivity, unhappy customers, compliance headaches, and hours (or days) of cleanup. But what if it didn’t have to be that way?
I’m a product engineer at Honeycomb. While my work spans the stack, I’m currently focused on deepening my frontend expertise. To support this, I’ve been using ChatGPT as a study assistant. It’s helped me break down complex topics with clear explanations, real-world examples, and—critically—interactive practice. The most effective formats I’ve found.