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

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How Right-Sizing Ephemeral Environments Reduces Cloud Costs

Ephemeral environments supercharge development velocity-but if left unchecked, they can quietly drain your cloud budget. The answer? Right-sizing: a strategy that tailors resource allocation to real-world usage. Done right, it can slash cloud expenses by 30% to 70%. Let's dive into how this works-and why more teams are making it part of their CI/CD pipelines.

Why Do SSL Certificates Fail in Multi-Cloud Environments (AWS, Azure, GCP)?

SSL certificates keep websites and apps secure, but in AWS, Azure, and Google Cloud Platform (GCP), misconfigurations or expirations can still cause services to go offline. Why do these failures happen, and how can you prevent them?

DeepSeek Pricing: Models, How It Works, And Saving Tips

Some teams won’t touch DeepSeek because it’s Chinese. Others are quietly running pilots and rethinking how much reasoning and context they actually need, or can afford. For SaaS teams staring down runaway AI costs, DeepSeek’s mix of open-source freedom, massive context windows, and token rates 10–30X cheaper than OpenAI or Anthropic is tough to ignore. However, DeepSeek pricing comes with cache hits, cache misses, off-peak discounts, that September pricing shift, and more.

We need to talk about HFC-227ea

Data centres often hold the fluorinated gas (f-gas) HFC-227ea, traded under the name FM-200, as an emergency measure to stop fires in data halls and technical space without harming electrical equipment. Robust fire prevention helps avoid devastating human, operational, financial, and environmental consequences, but there’s a problem with this particular gas – if released, it has an immense global warming potential.

FinOps For Claude: Your Strategy For Managing Claude API And Anthropic Costs At Scale

Anthropic’s Claude is one of the most powerful and developer-friendly large language models (LLMs) available. But as usage grows, so does cost. Here’s the reality: A single unoptimized development loop or unmonitored QA job can multiply costs 10x overnight. Most teams experimenting with Claude lack the visibility and guardrails needed to prevent runaway costs, especially once usage moves from R&D into production.

12 Cloud Cost Optimization Examples For Your Cost Journey

Organizations face increasingly complex cloud environments — from hybrid clouds to multi-cloud deployments — where costs can quickly spiral without real-time visibility and intelligent controls. This is why setting clear goals for cloud cost optimization is necessary to keep your organization proactive. The key to success lies not just in setting goals, however, but in ensuring those goals are clear, realistic, and supported by continuous measurement and actionable insights.

Eliminate cloud waste across AWS, Azure, and Google Cloud with Cloud Cost Recommendations

As organizations increasingly adopt multi-cloud strategies, identifying areas to reduce cloud spend has become highly complex and time consuming. While there are many reasons that organizations choose to run their infrastructure in a multi-cloud environment, many do so to comply with regional data requirements, take advantage of best-of-breed offerings, or avoid vendor lock-in.

Reduce cloud waste with Datadog Cost Recommendations

Struggling to optimize your cloud spend across AWS, Azure, and Google Cloud? Datadog Cloud Cost Management highlights underutilized or legacy resources and lets engineers take immediate action using Datadog Workflows. Eliminate waste and drive savings with recommendations that your teams can trust.