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The latest News and Information on Cost Management and related technologies.

Electronic Data Capture: Transforming Operations in Clinical Research

The clinical research landscape has undergone a dramatic transformation in recent years, driven by the urgent need for faster, more accurate data collection and management. At the heart of this evolution lies Electronic Data Capture (EDC) technology, which has fundamentally changed how organizations conduct clinical trials and manage operational workflows. For operations professionals overseeing complex research environments, understanding EDC systems represents a critical component of modern data management strategy.

I Saved 40% on Azure VMs Just by Using This One Setting

TL;DR If you’re still buying Azure reservations that match your exact VM size, you’re missing out. There’s an option called Size Flexibility that lets a single reservation apply to multiple VM sizes in the same family. In some cases, reserving the cheapest VM size in the group still fully covers the more expensive ones, saving you up to 40%.

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.

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.

Optimize Kubernetes and Container Costs with Datadog Cloud Cost Management

Struggling to understand the true cost of your Kubernetes workloads? With Datadog Cloud Cost Management, you can automatically allocate container costs by team, product, and service down to the pod. Instantly identify idle resources, surface optimization opportunities, and act with confidence. All in one unified platform.

How to surface misconfigured resources by defining policies | Datadog Tips & Tricks

Misconfigured infrastructure resources can be easy to miss, especially in multi-account or multi-cloud environments. From EKS clusters running on deprecated versions to RDS engines on extended support, these issues can disrupt services or drive up costs if left unchecked. In this video, we show you how to: By centralizing policies, you’ll gain a clear view of where to focus your remediation efforts.

Claude Pricing: A 2025 Guide To Anthropic AI Costs

When OpenAI surged into the spotlight with ChatGPT, not everyone inside the company agreed on the path forward. In 2021, a group of senior researchers broke away. They had concerns about safety, transparency, and the direction of AI development. They went on to found Anthropic. And their answer to ChatGPT was Claude. Anthropic’s mission is for openness now. Yet, Claude’s pricing can feel as mysterious as the model weights behind the scenes.