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Businesses across industries have fully embraced AI, looking to 10x productivity and supercharge profits. Most companies—78%, according to McKinsey—use AI in at least one business function. But a recent survey by IBM found that only 1 in 4 AI pilots brought about the ROI leadership expected. Even fewer (16%) had been scaled across organizations. The gap is real. Many AI efforts remain stuck in pilot mode or isolated at the edges of businesses.

The promise of large language models (LLMs) brings new performance gains to development teams, sharing information and context to your team. How is this information stored?

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 them, here’s our monthly round-up of the latest and greatest Grafana Cloud updates. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

Okay, picture this: if you drew a Venn diagram of folks in tech right now, it'd probably look something like this: You'll probably find yourself in one of those circles, right? I’m guilty of falling in the intersection! Because let's be real, the 'will AI replace developers by 20xx?' debate is everywhere – Reddit, Hacker News, team Slack and even your local cafe. Well, we decided to go straight to the source.

The UK’s Competition and Markets Authority (CMA) recently published its final verdict on the state of the cloud industry. While the tone may have softened since its initial findings, the conclusion was still damning: hyperscalers like AWS and Microsoft continue to unfairly dominate the cloud market through opaque, inflated pricing and technical lock-in strategies.

Two years ago, a “state-of-the-art” AI model could write decent copy or summarize a meeting transcript. Today, the top AI models can generate working code, analyze video in real time, and reason through complex scenarios. For SaaS teams, these changes represent a strategic crossroads. Choose the right model and you unlock new revenue streams, slash time-to-market, and wow your users.

Search isn’t what it used to be. The way people discover information online is shifting. Instead of clicking through search results, many now ask AI answer engines like ChatGPT and Perplexity to do the research for them. In March 2025, 13.1% of Google desktop searches featured AI Overviews— doubling from over 6% in January, according to Semrush analysis of 10+ million queries.

A growing number of engineering organizations have adopted or are trialing agentic AI-based coding tools and LLMs in an effort to increase their teams’ development velocity. If you’re a developer, this means you’ve likely had to try out different agentic tools and models and determine how to best incorporate them into your existing workflows.