Datadog features and reviews of 2020
Datadog network monitoring software helps users to automate and integrate the monitoring of their infrastructure, application performance, and log management.
Datadog network monitoring software focuses on enabling web developers, IT experts, business users, and security engineers to track the performance of their apps, tools, and services. This software helps users to gather data from different sources to turn then into accurate and detailed insights. Users can use the data gotten to develop effective strategies to enhance the performance of their infrastructure. Plus, Datadog network monitoring software provides in-built integration with third-party apps to enable seamless workflows.
Users can use this software to filter, search, and analyze their log data for open-ended exploration and troubleshooting. Datadog network monitoring software enables users to monitor their end-to-end user experience proactively, and it alerts them on any performance issues in different locations. The user experience metrics allow users to make data-backed decisions and correlate performance with impact. With frontend, backend, and business metrics, users can troubleshoot with ease.
Datadog network monitoring software allows users to visualize traffic flow and report on critical metrics in cloud-native environments. Users can use tags to filter traffic by destination and source, and they can group using individual containers, teams, and datacenters. This software offers users high-resolution metrics and events to build real-time interactive dashboards for graphing and manipulation. Besides, Datadog network monitoring software allows teams to have full visibility, discuss issues in context with data, and annotate changes.
This software notifies users of any performance issues via Slack, email, and PgerDuty, and they can use multiple trigger conditions to build complex alerting logic. Datadog network monitoring software offers users full API access to bring observability to their infrastructures and apps. Users can use this software's Restful HTTP API to get full data access, and they can build and upload JSON-formatted dashboards with ease.
Datadog network monitoring software allows users to monitor, optimize, and troubleshoot the performance of end-to-end applications. Users can use this software to find, collect, and analyze traces across entirely distributed architectures. This software allows users to find evidence that matches a customer, user, endpoint, error code, custom tag, or tag. This software enables users to correlate application performance to infrastructure metrics and logs with ease. Users can use the Datadog network monitoring software to monitor cloud instances, on-premise, containers, and hybrid architectures. Plus, this software supports live root-cause analysis to decrease resolution time and improve feature release.
Datadog network monitoring software allows users to trace requests across different frameworks and libraries automatically. Users can use their integrations with web frameworks such as Django, Laravel, MVC, Ruby on Rails, ASP.NET, Spring, and Gin. This software offers users a machine-learning-based capability that automatically detects anomalies without any configuration. Datadog network monitoring software enables users to automate dashboarding using API. Besides, users can use this software to map cluster services, and data flows automatically based on their interdependencies in real-time.
Datadog network monitoring software offers users a unified log management solution to monitor requests, logs, and metrics. Users can use automatically generated facets to filter and search their records on the fly, and they can analyze and explore log data from their applications, services, and platforms. This software allows users to use dashboards to visualize their log data, and they can observe everything in real-time without indexing. Users can send, process, and archive all records produced by their infrastructures. Datadog network monitoring software enables users to apply facets like role, HTTP status code, and availability zone automatically to their log data. Additionally, this software supports third-party log shippers like FluentD, NXLog, Logstash, and Rsyslog.
Datadog network monitoring software allows users to build custom log-processing pipe-lines. Users can process and enrich logs from integrated technologies automatically, and they can modify the in-built pipe-lines to get custom data fields. This software enables users to navigate between request traces, metrics, and logs to get a clear view of their systems. Also, users can pivot to ATM to put records in a performance context.
Datadog network monitoring software provides users with API tests to enable them to monitor their endpoints proactively. Users can use this software to validate HTTP requests for their services from different locations, and they can monitor and maintain their SLAs. This software offers users seamless integration with logs, infrastructure, and APM. Users can use the Datadog network monitoring software's GUI-based web recorder to monitor critical transactions without writing any code. Datadog network monitoring software allows users to control any environment and compare application performances from different locations in their internal network. Plus, users can deploy and scale using the integrations with Kubernetes and Docker.
Datadog network monitoring software offers users end-to-end visibility into the journeys of end-users throughout the tech stack. Users can use this software to visualize page dependencies, frontend errors, and load time, and they can use it to correlate application and business insights. This software allows users to troubleshoot user-facing issues quickly and with ease. Users can use the Datadog network monitoring software to visualize critical RUM metrics by geography and find patterns in their product use. Besides, this software enables users to collect and analyze user action data seamlessly.
Datadog network monitoring software enables users to visualize traffic flow in cloud-native environments via network monitoring. Users can use this software to understand performance by using tags like source and destination, and grouping by datacenters, individual containers, and teams. This software allows users to report critical metrics like TCP retransmits and traffic volume. Datadog network monitoring software enables users to harness microservices, containers, and the cloud, and it allows them to find cost sinks such as cross-availability-zone traffic. Additionally, the live network map of this software enables users to track traffic patterns.
Datadog network monitoring software helps users to monitor their apps, teams, servers, and clouds together on a unified platform. Users can use this software to correlate logs, traces, and metrics for collaborative analysis. This software uses automatically-generated-service overviews to enable users to track the performance of their apps. Users can use the Datadog network monitoring software HTTP API to access the platform programmatically.