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The latest News and Information on Cloud monitoring, security and related technologies.

Mastering AI Spend With CloudZero And LiteLLM

The AI landscape today feels a lot like the early days of the cloud: exciting, fast-moving, and completely fragmented. Every week, engineering teams are experimenting with dozens of large language models (LLMs) from providers like OpenAI, Anthropic, Google, Mistral, Meta, and beyond. They’re tweaking prompts, testing model performance, swapping context windows, and even running multiple models in parallel to figure out which one works best for each unique use case.

From FinOps for AI to AI-Native FinOps

One year ago, at AWS re:Invent, we launched CloudZero Advisor, a free, standalone AI assistant that enables anyone to ask questions about cloud spend in plain language. It was the first experiment of its kind in FinOps, a chance to see what people really wanted to know when cost data finally became conversational. Over the past year, Advisor has become a learning engine.

Monitoring Azure Metrics to Protect Uptime And Stop Threats Early

This is the fifth blog in our Azure Monitoring series, and we’re focusing on what’s most critical: keeping your environment secure and always available. Performance and cost mean nothing if your services go offline or your data is compromised. In this post, we’ll highlight the Azure metrics that help CloudOps teams detect threats early, build resilience into their stack, and stay ahead of outages before they impact users or compliance. Missed our earlier posts? Catch up.

Best Cyber Monday VPS Deals 2025: How to Evaluate Real Value Beyond Discounts

December brings a flood of Cyber Monday VPS deals, each promising unbeatable savings. The challenge isn't finding deals. It's identifying which ones deliver actual long-term value versus temporary promotional pricing that evaporates after a few billing cycles. This guide evaluates Cyber Monday VPS deals using three core metrics: total cost over realistic usage periods, included features versus add-on fees, and management requirements that impact your team's time investment.

Building AI Apps with AWS: From Foundation Models to Production-Grade Agents

In the last two years, generative AI has moved from "cool demo" to become an integral element of IT production. The research proves this trend: according to Fortune Business Insights, global spend on generative AI reached an estimated $67 billion in 2024. By 2032, this spending is expected to pass almost $1 trillion, with a compound annual growth rate of approximately 40%. Moreover, a McKinsey & Company survey finds that roughly two-thirds of companies have already integrated generative AI into their workflows, and 80% use it in its broad sense. This technological transformation, hence, poses a critical new question.

Servers In The Sky: Dubai's Wild Race To Build The Next Cloud Empire

In Dubai, where grabbing your morning karak can take you past flying taxis, robot cops, and AI-driven traffic signs, it's no surprise that the race for the cloud is turning into a full-blown tech stampede. And if you're trying to keep up with this fast-moving scene, you'll quickly realize you need to rent a car Dubai just to survive the pace. The city isn't just building data centers - it's building an entire digital skyline, one hyperscale server at a time.

Stop Manual Checks: Automating DORA Compliance for Cloud Dependencies

Financial services organizations face increasing pressure to comply with the Digital Operational Resilience Act (DORA) while managing complex cloud infrastructures. Manual compliance checks for third-party dependencies are no longer sustainable. This guide explores how to automate DORA third-party risk management, ensuring continuous compliance without the overhead of manual processes.

How to Reduce Redundant Data to Save on Cloud Storage Costs

With more and more business organizations adopting cloud storage to handle their data, the problem of redundancy or duplication of files has become of great concern. Duplicated information does not only eat up the precious storage space but also increases expenditure and lowers productivity. The reason why companies end up paying to store files that they do not require is because duplication of files over time occurs particularly when more than one team or department is doing a common project. Learning to detect and remove duplicate data is a key to the cost control and ability to manage data in general.