Operations | Monitoring | ITSM | DevOps | Cloud

Understand your Kubernetes and ECS spend with Datadog Cloud Cost Management

Rising container usage has fueled a growing reliance on container orchestration systems such as Kubernetes, EKS, and ECS. As organizations increasingly opt to run these systems in the cloud, their cloud spend tends not only to grow but also to become more opaque due to the dynamic complexity of these environments. Typically, various services, teams, and products share cluster resources, and as nodes are added and removed, those resources continuously shift.

React quickly to cost overruns with Cost Monitors for Datadog Cloud Cost Management

The dynamic nature of cloud costs can make it difficult to fully understand your cloud spend and embrace cost ownership at all levels of your organization. To establish cost governance, FinOps teams need a complete view of cloud costs, including allocation by team, service, and product. And DevOps teams need to detect, investigate, and quickly mitigate unexpected costs to minimize overruns, even as they continue to build features and operate their services.

The Data Scientist Role Explained: Responsibilities, Skills & Tools

As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.

Impossible! Do Developers Really Mean This?

Impossible! Do software developers really mean this when they're estimating projects? Maybe, but they might not realize that even if a project is technically impossible, sometimes getting close is good enough. Here's part 2 of 4 of Sleuth's CTO and cofounder, Don Brown's take on decoding developer speak. Give Sleuth a try and see how we empower software teams to build faster by making engineering efficiency easy to improve and measurable — in a way that both managers and developers love.