As a new Datadog customer, your top priority is figuring out how to maximize the platform’s potential and deliver value to your organization quickly and seamlessly. But with a plethora of options and configurations available at your disposal, it can be overwhelming to determine where to begin. With Datadog, you don’t need to be an expert in observability or monitoring to get up and running efficiently.

Testing enables you to proactively identify and resolve issues before they break critical functionality in your application, which is essential to ensuring an optimized user experience (UX). However, if you don’t know how users are actually interacting with your application, key user journeys may go untested. This lack of visibility can lead to a proliferation of unoptimized features in your UI, causing users to drop off before completing important actions.

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.

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.

Datadog provides you with a comprehensive and highly customizable platform for monitoring the performance and security of your applications. Through Datadog components deployed in your environment—including the Agent, tracing libraries, and Observability Pipelines workers—you can easily configure monitoring across your hosts and services, regardless of the particular technology you’re using.

Developer, SRE, IT, and security teams often perform complex and error-prone processes in response to disruptions and changes in their systems. Relying on these processes requires a significant amount of time switching between tools to gather the relevant context needed for remediation, domain expertise, and the manual execution of tasks for incident management—which can significantly prolong disruptions and downtime.

Modern continuous integration (CI) practices enable development teams to quickly and efficiently build and deploy application code to a shared codebase. However, deploying new code is typically accompanied by tests, and as the codebase expands, this results in a proportionately larger test suite.

Datadog dashboards and notebooks can be powerful tools for troubleshooting, enabling you to analyze telemetry from across your stack with visualizations customized by service owners, data analysts, and engineers. Many organizations also rely on dashboards and notebooks for key business processes, such as generating reports, creating postmortems, and managing SLOs. This makes it important to keep track of any unintended changes that may result from others accessing your content.

Firewall systems are critical for protecting your network and devices from unauthorized traffic. There are several types of firewalls that you can deploy for your environment via hardware, software, or the cloud—and they all typically fall under one of two categories: network-based or host-based. Network-based firewalls monitor and filter traffic to and from your network, whereas host-based firewalls manage traffic to and from a specific host, such as a laptop.

Cloudera Data Platform (CDP) is a data analytics and management platform that enables users to centralize, visualize, and govern their data. While users may be accustomed to data analytics solutions that are completely siloed and difficult to scale, CDP is designed to be flexible, giving customers the ability to integrate with open source technologies and deploy in a hybrid, cloud-native, or multi-cloud environment.