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.
When your applications are experiencing degraded frontend performance, every minute of investigation counts towards minimizing the impact of regressions on your users. That’s why we built Watchdog Insights, an AI-powered recommendations engine that augments monitoring investigations by intelligently surfacing data that sheds light on outliers in the errors and latency affecting your applications.
Azure OpenAI is a service for deploying AI applications on Azure resources. With its easy-to-use REST APIs, you can leverage the service to access OpenAI’s powerful language models, such as ChatGPT, for your applications while taking advantage of the reliability and security of the Azure platform. Datadog already offers an out-of-the-box integration for OpenAI so you can monitor key performance trends, such as API usage patterns, token consumption, and more.
Migrating your on-prem applications to Azure can help you improve scalability, reliability, and security. It can also help reduce costs and free your engineering teams to focus on innovation and performance optimization. But it can be hard to understand Azure costs as they evolve during your migration and to see how they correlate with your resource utilization once you’re up and running in Azure.
Many organizations have faced the complex challenges that come with mainframe monitoring. MIPS-based cost models make native mainframe software expensive, and deploying individual agents to user desktops and devices is difficult to maintain and scale.
