Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Infrastructure monitoring is the process of continuously collecting, analyzing, and visualizing data from an organization’s IT infrastructure. With infrastructure monitoring, DevOps teams can maintain system health, meet SLAs, reduce downtime, and detect and resolve issues proactively. This ensures optimal performance, availability, and reliability. Key networks components infrastructure monitoring typically covers.

The fastest GPU is only as fast as the slowest packet. In this post, we examine how the network is the primary bottleneck in AI data centers and offer a practical playbook for network operators to optimize job completion time (JCT).

Within many organizations, there’s been a strategic imperative to abandon MPLS in favor of SD-WAN and direct internet access, particularly when it comes to branch office connectivity. The benefits of this move are undeniable and compelling. Organizations can establish direct cloud connectivity and realize cost savings and improved agility.