Operations | Monitoring | ITSM | DevOps | Cloud

Cost Controls and so Much More: Issue Detection Through Usage Analysis

Keeping tabs on cloud spending across multiple organizations and vendors, including Datadog, can be tough and costly. If you're not tracking expenses, you're also missing other critical insights. The Flight Centre Travel Group (FCTG) faced this when moving to Datadog, needing to monitor costs across numerous organizations and over 180 Azure subscriptions. After a rapid migration, new cost reports quickly revealed more than just financial benefits. Unusual spending patterns often highlighted incidents, bugs, or security issues, offering early warnings about internal system problems.

Bridging the Gap: Legacy Systems and Modern Observability

Technology moves quickly and while the spotlight has shifted to dynamic, cloud-based systems, many organizations have legacy applications and infrastructure that they must maintain. In this fireside chat, Datadog’s Matt Moore (Principal Observability Strategist) will host James Flores (Enterprise Systems Engineer) at Australian Community Media to discuss their journey of modernization and bridging legacy systems with the cloud using a bit of ingenuity and observability.

This Month in Datadog - August 2025

In the August episode of This Month in Datadog, Jeremy shares how you can make more informed cloud cost decisions, gain insights into your LiteLLM-powered applications, and secure Kubernetes infrastructure with Datadog Workload Protection. Later in the episode, Danny puts the spotlight on Datadog Kubernetes Autoscaling, which helps you deliver cost savings without sacrificing performance.

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.

We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.