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Dynatrace

Score8.5 out of 10

628 Reviews and Ratings

What is Dynatrace?

Dynatrace is an enterprise software platform that provides Application Performance Management (APM), full-stack Observability, and automated operational analytics across multi-cloud and hybrid IT environments. The platform ingests telemetry data—including metrics, logs, traces, and user-experience data—to automate system health monitoring, root-cause fault detection, and digital performance management.

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Videos

Top Performing Features

  • Data backup and recovery

    Backup and recovery of lost data

    Category average: 8.2

  • Multiple Server Monitoring

    Server Monitoring is a process to monitor server's system resources like CPU Usage, Memory Consumption, I/O etc.

    Category average: 8.7

  • Service configuration management

    Service configuration management looks at all stages of the service lifecycle in order to provide information about an organization’s performance

    Category average: 7.9

Areas for Improvement

  • Policy-based automation

    Policy-based management is an administrative approach used to simplify the system management by drafting rules to deal with common situations

    Category average: 6.9

  • Administrator access control

    Management and restriction of user access to specific system assets

    Category average: 7.3

  • Patch Management

    Patch management involves acquiring, testing, and installing multiple patches (code changes) to an administered computer system.

    Category average: 6.7

Who Buys & Uses Dynatrace

Dynatrace - Providing Value and ROI

Use Cases and Deployment Scope

Dynatrace is our strategic tool for Observability and is used in the following areas. Marketing, Development, Support, Testing and Release Management.

Some legacy issues we had with our portals were addressed once we setup real user monitoring and monitoring our APIs hosted in AKS. Biz Events have enabled us to deliver business focused Dashboards for our executive team. The platform is pivotal in incident calls, and to reduce MTTD and MTTR. Service Now integration helps us to automatically raise tickets which speed up MTTR. AI is now a key feature that we are using which is helping us get to root cause in a quick manner.


Pros

  • Customer Service is Excellent
  • Engagement with Dynatrace is easy and two way, we operate as one-team.
  • Technical Expertise and support
  • Nothing is too much trouble

Cons

  • DQL can be complex, however the new AI Assist is helping here.

Return on Investment

  • The value proposition was made very early , legacy issues that caused loss revenue were fixed.
  • Reduction of MTTD & MTTR.
  • Release Management Observability helps us to see issues early on when releasing code.

Usability

Alternatives Considered

New Relic

Other Software Used

Azure App Service, Atlassian Jira, Azure Virtual Machines

Dynatrace everything at one place

Use Cases and Deployment Scope

Dynatrace has enabled the companies I work with to see the whole picture of their business processes, look at small pieces and figure out how to improve them. We also can confirm that Dynatrace showed the capability to adapt the system to several different areas of business, going from banking, energy, roads, insurance and even health sectors.

Pros

  • Correlation in Problems, and RCA
  • Easy to Setup
  • Easy to adapt as needed

Cons

  • AI Observability
  • Workflow Automations
  • Dashboarding

Return on Investment

  • We solved more than 40% of Problems.
  • We improved the User Exp. really great.
  • We can check the whole picture visually in the Smartscape.
  • We can track the whole Business Process and measure that.

Usability

Alternatives Considered

Splunk Cloud Platform, Splunk Enterprise, Elasticsearch and Grafana Cloud

Other Software Used

Splunk IT Service Intelligence (ITSI), Splunk Cloud Platform, Elasticsearch

One-Stop Shop for your monitoring needs.

Use Cases and Deployment Scope

We use Dynatrace as our primary monitoring and observability platform across our internal applications and services. The engineers use it daily to monitor application health, infrastructure performance, service dependencies, and real time user monitoring. The biggest problem Dynatrace solves for us is reducing time it takes to identify and troubleshoot production issues. Dynatrace as the one-stop-shop for correlating metrics, traces, logs, and service relationships helps us perform faster.

Pros

  • The Service Dependencies view in Dynatrace available through Grail query language has been phenomenal.
  • Davis AI's root cause analysis options when a new problem is detected is very helpful.
  • Dynatrace workflows are very useful for pulling data in from external sources as well as pushing out to webhooks for additional automation.

Cons

  • The Smartscape in Grail is very helpful, but metadata still needs to be added for some Dynatrace resources.
  • Monitoring release events still has room to improve, as well as SDLC monitoring.

Return on Investment

  • Overall, it has been a very positive ROI. Our monitoring on performance is down to the nanoseconds, which really helps us monitor from the left approach throughout the environments.

Usability

Other Software Used

Anthropic Claude, Claude Code, OpenAI Codex

Moving from Monitoring to Observability in a single pane of glass.

Use Cases and Deployment Scope

As our organization moves from the traditional monitoring posture to a true Observability one the decision was made to consolidate tooling into a single pane of glass and we selected Dynatrace as our Observability tool of choice. It has proven to be a great choice. The partnership with Dynatrace is outstanding and the tool is easy to use, easy to manage and is providing a contextualized single pane of glass for our Observability.

Pros

  • Contextualized telemetry across logs, metrics and traces.
  • A robust as-code interface via APIs
  • The partnership they bring to the table is outstanding.

Cons

  • They are in the process of cutting over from gen 2 to gen 3 and this does add some complexity and frustration to the onboarding process.
  • DQL is a solid and robust offering but there is a learning curve to it.

Return on Investment

  • It has helped us mature our Observability (Moving from Monitoring to Observability)
  • It has helped us move to a single pane of glass. (Contextual view of telemetry)
  • It has increased the adoption rate of Observability across our organization.

Usability

Alternatives Considered

Sumo Logic, Splunk AppDynamics and New Relic

A Contributor's Viewpoint on Dynatrace

Use Cases and Deployment Scope

We use Dynatrace in the organization and my area in particular by having it monitor our clusters. The overall scope of our use case is only for monitoring our clusters, but also all of our infrastructure devices to ensure there is nothing wrong going on with them during our daily operations.

Pros

  • Dashboards
  • Real-time monitoring
  • Analytics
  • Performance Predictions

Cons

  • Ease of use for newcomers

Return on Investment

  • Helped us see our infrastructure performance in real-time

Usability

Other Software Used

Red Hat Ansible Automation Platform