Users consider Datadog to be one of the top cloud monitoring and security software products on the market. It allows you to see inside any stack, any app, at any scale, anywhere.
Datadog’s SaaS-based infrastructure monitoring provides:
- Metrics
- Visualizations
- Alerting
to ensure your engineering teams can maintain and optimize your cloud or hybrid environments.
Some of the main reasons users like the solution are because:
- It has a simple deployment process that requires little maintenance
- Its interface is easy-to-use
- Teams can communicate and troubleshoot more effectively
Furthermore, it’s infrastructure allows users to deploy it either
- On-premise
- Hybrid
- IoT
- Multi-cloud environments
Whatsmore is, users can deploy Datadog and start monitoring without any need for professional services or extensive training. Because the solution’s interface is intuitive, businesses can easily promote adoption across their organizations without requiring any query language so that it can be used by anyone.
Another positive aspect of the solution is that it helps reduce alert fatigue with machine learning–based tools that automatically surface issues from the noise.
In addition, Datadog provides deep visibility into infrastructure performance. Users like that they can:
- Track tens of thousands of infrastructure metrics out-of-the-box
- See continuous historical records, even on infrastructure that doesn’t exist anymore
- Troubleshoot more quickly with one-click correlation of related metrics, traces, and logs from across the stack
With the solution, users can take advantage of metrics without limits. Users are able to:
- Decide which metrics to index that are valuable for their queries and can also change their mind anytime
- Preserve the mathematical accuracy and granularity of their queries
- Save engineering time spent building and maintaining a proxy
Moreover, users like the solution’s advanced collection capabilities that allow them to:
- Access globally accurate percentiles with distribution metrics, like p99 latency across a distributed service
- Track the impact of every process running in the stack with Live Process monitoring
- Incorporate business-level custom metrics like revenue or customer behavior with DogStatsD or via the API
Another aspect that users appreciate about the solution is that they are able to see across systems, apps, and services. With turn-key integrations, Datadog seamlessly aggregates metrics and events across the full devops stack:
- SaaS and Cloud providers
- Automation tools
- Monitoring and instrumentation
- Source control and bug tracking
- Databases and common server components
- All listed integrations are supported by Datadog
Datadog also enables users to monitor, troubleshoot, and optimize application performance. It can help users:
- Trace requests from end to end across distributed systems
- Track app performance with auto-generated service overviews
- Graph and alert on error rates or latency percentiles
- Instrument code using open source tracing libraries
Datadog also has useful log capabilities. Using the solution, users can:
- Analyze and explore log data in context
- Quickly search, filter, and analyze logs for troubleshooting and open-ended exploration of data
- Automatically collect logs from all services, applications, and platforms
- Navigate seamlessly between logs, metrics, and request traces
- See log data in context with automated tagging and correlation
- Visualize and alert on log data
Users also appreciate that with the solution they can proactively monitor the user experience. They can:
- Monitor critical user journeys captured with an easy-to-use web recorder
- Save engineering resources with AI-powered, self-maintaining tests
- Detect and alert on performance issues for users in various locations
- Manage SLAs and SLOs
Another benefit of the solution is that users can correlate frontend performance with business impact. They are able to:
- Prioritize business and engineering decisions with user experience metrics
- Visualize load times, frontend errors, and resources for every user session
- Slice and dice data using custom attributes
- Troubleshoot quickly with frontend, backend, and business metrics in one view
Additionally, Datadog helps easily visualize traffic flow in cloud-native environments, allowing users to understand performance using meaningful, human-readable tags. Users find it helpful that they are able to:
- Use tags to filter traffic by source and destination
- Group by anything — from datacenters to teams to individual containers
- Report key metrics such as traffic volume and TCP retransmits
Datadog enables users to build real-time interactive dashboards as well. Not only does Datadog offer summary dashboards, but it also has high-resolution metrics and events for manipulation and graphing. The dashboards enable users to:
- See graphs across sources in real time
- Slice data by host, device, or any other tag
- Compute rates, ratios, averages, or integrals
- Easily customize views, interactively or in code
Users appreciate that the Datadog solution is built to give visibility across teams. The solution allows users to:
- Discuss issues in context with production data
- Snapshot potential issues and notify their team
- See who responded to alerts
- Remember what was done to fix it
The solution’s alerts are also a really excellent feature. Datadog provides notifications when there are performance problems, whether they affect a single host or a massive cluster. With the solution, users can:
- Get notifications via email, PagerDuty, Slack, and other channels
- Build complex alerting logic using multiple trigger conditions
- Mute all alerts with one click during upgrades and maintenance
Another great aspect of the solution is that it includes full API access to bring observability to all apps and infrastructure. Datadog enables users to:
- Capture events and metrics from their own applications using the solution’s client libraries
- Tag servers or query Datadog in command-line
- Generate and upload JSON-formatted dashboards
- Use the solution’s Restful HTTP API for full data access
In summary, Datadog is a solid cloud monitoring and security software. According to our Peerspot community of users, they are happy with it as a solution and give it high ratings.
