Digma finds what your tests miss
Avoid engineering disruptions by preventing breaking changes and identifying performance issues earlier
Avoid breaking changes
Digma highlights the affected areas and impacted components for each code change and Pull Request, eliminating the risk of breaking changes and consequent loss of engineering time
Automatically spot
code performance issues
Traditional APMs aren’t made to catch performance issues before they impact the organization’s SLOs. Digma’s Preemptive Observability Analysis (POA) engine, identifies scalability and performance issues in pre-prod, down to the relevant line of code. Allowing faster resolution time with no customer impact.
Optimize inefficient code to drive down infra costs
Current generation cost saving tools focus on cloud infrastructure and ignore waste resulting from inefficient code. Digma identifies issues that impact your application cost and areas for optimization so you can scale up your application efficiently.
Preemptive Observability Analysis
Digma leverages a Preemptive Observability Analysis (POA) engine to identify patterns of specific issues before they impact production. Engineering teams are alerted to issues in the code as it executes in pre-production and can address them faster during the dev cycle.
IntelliJ IDE Plugin
Digma installs as an IDE marketplace plugin and runs in the development environment.
All data stays local
Digma is not a cloud service and runs locally on a laptop or within your private cloud.
No code changes required
Digma requires no code changes or observability prerequisites and is OTEL-compliant.
No public AI is used
Digma avoids using public AI systems that share data outside your organization.
Learning More
Learn more about how Digma frees up engineers’ time by early identification of potential incidents
Nasim Salmany
Software Engineer
As a developer, I was seeking to learn about new solutions to obtain feedback in the early stages of development, such as how to improve performance or facilitate refactoring. As a developer, I was seeking to learn about new solutions to obtain feedback in the early stages of development, such as how to improve performance or facilitate refactoring…
Bruno Souza
Principal Consultant
I love the business model of Digma. Free forever to developers, and able to run on my computer without sharing information externally. I can be more productive and build my continuous feedback loop, no matter if the company has decided to use Digma or not. This allows any developer to improve their skills continuously. This is especially great for consultants like myself.
Markus Westergren
Staff Consultant
Digma analyzes generated OpenTelemetry data and identifies possible issues. The plugin makes locating them in the code a breeze, because it will allow you to navigate between identified problems and the actual source code. It takes the guess-work out of finding and fixing performance issues. This plugin is now a important part of our work-flow.
The Digma Blog
How is Digma Different From
APMs
Digma is complementary to APMS. It
leverages the same observability data but identifies issues earlier, preempting production disruptions and alerts. Digma also focuses on the code-level, reducing the time it takes engineers to identify and solve issues.
Profilers
Profilers are used manually once an issue has already been detected in prod. Digma takes a proactive approach in continuously and automatically detecting scanning observability, preempting issues and finding the root cause in the code.
Static Code Analysis
Static code analysis tools can only relate to the code structure and have no access to the runtime data. As such, they are not able to identify real-world issues, analyze the code performance and scaling, or assess runtime errors and exceptions.
