We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

Cribl is a customer first company. Building high value, secure-by-design software for security and IT teams has been by far the most gratifying experience of my professional career. As a security professional that deeply believes in Cribl’s product and mission, I share the excitement of changing forever how our customers operate and enabling them to protect their organizations; working at Cribl has been my greatest calling.

Cloud storage solutions can provide public sector organisations with a high degree of flexibility when it comes to their storage needs, either public cloud based, or in their own private clouds. In our previous blog post we looked at the economic differences between these two approaches. In this blog we will explore some of the security best practices when using cloud storage, so that you can ensure that sensitive data remains securely stored and compliance objectives are met.

In cooking, ingredients must be properly prepared by a trainee chef so that the master chef can craft the perfect dish. In carpentry, lumber is precisely cut and sanded by an apprentice so that an expert carpenter can build sound structures. A similar principle applies in artificial intelligence (AI), where IT professionals must ensure the correctness and consistency of data for AI systems to produce accurate insights. However, the SolarWinds IT Trends Report 2024 — AI: Friend or Foe?

WebPageTest has long been the trusted choice for performance experts and top online retailers worldwide to enhance website speed, SEO rankings, user experience, and conversion rates. It provides in-depth diagnostic information on a page's performance, offering actionable insights to measure performance across all major browsers, device types, and network conditions.

In the ITSM world, automation is no longer just a luxury—it’s essential. Automation empowers organizations to enhance operational efficiency, reduce expenses, and boost service reliability. That said, achieving true, sustainable results with automation can be challenging and often comes at a significant cost. Successful delivery of automation requires a clear vision and the strategic adaptation to align with evolving goals and incorporate agility.

We recently took a daring step to test and improve the reliability of the Honeycomb service: we abruptly destroyed one third of the infrastructure in our production environment using AWS’s Fault Injection Service. You might be wondering why the heck we did something so drastic. In this post, we’ll go over why we did it and how we made sure that it wouldn’t impact our service.

There’s no shortage of new developer tools promising to reduce toil and improve productivity. But investing in the latest technology can require a leap of faith organizations can no longer afford to make. Leaders need assurance that the investment they’re making will pay off, quickly.

When working with ML models, it’s fair to say that a model is only as good as the data it was trained on. Training and testing models on quality datasets of an appropriate size is essential for model performance. Because of the intricate link between a model and the data it was trained on, it’s also important to be able to store datasets and versioned models together.

Arguably the most important part of an on-call product is knowing that you will be notified when things break, wherever you are. When it comes to SMS and phone call notifications, we have to leave the familiar realm of the internet and JSON responses, and deal with systems that provide limited observability and insight into what’s gone wrong.