Discover the Power of Digma Continuous Feedback for Real-time Performance Insights
Discover the Power of Digma Continuous Feedback for Real-time Performance Insights
Understanding the Features of Digma Continuous Feedback
Real-Time Performance Insights
Digma Continuous Feedback, developed by Digma.ai, provides real-time insights into the performance of your code, uncovering bottlenecks, scaling issues, and query problems. By integrating into your Integrated Development Environment (IDE), Digma continuously highlights issues, regressions, and problems as you code, allowing you to immediately address any function scalability concerns in Continuous Integration (CI) or production environments.
Untangling Legacy and Complex Systems
Digma accelerates code changes and mitigates endless regressions by analyzing code performance and providing critical analytics on usage, errors, and performance baselines. This enables developers to make sense of forgotten code and ownerless libraries, simplifying the process of addressing complex systems.
Enhanced GitOps Cycle
Integrating Digma into your GitOps cycle streamlines Pull Request feedback and code review annotation, making it easier for teams to collaborate and address code issues effectively.
Improved Code Understanding
Whether inheriting code from others or revisiting previously developed code, Digma provides comprehensive insights, empowering developers to understand and work fearlessly on any codebase.
Leveraging Digma for Enhanced Observability
Effortless Code Runtime Data Collection
Digma collects runtime data using OpenTelemetry, allowing developers to effortlessly identify problematic areas of code, pinpoint bottlenecks, prioritize errors affecting end-users, and track function usage.
Free Experimentation
Digma offers a free download option, enabling developers to experiment with the tool in local environments before upgrading to the SaaS version for real-world feedback in CI or production environments.
Comprehensive Release Pipeline Relevance
Digma’s relevance across the release pipeline simplifies the process of Pull Request feedback and code review annotation, providing valuable insights at every stage of the development cycle.
Exploring Further with Digma
Resolving Common Java Performance Problems
Explore valuable tips and insights for resolving common Java performance issues, gaining actionable advice based on practical experiences.
Choosing the Right Library for REST API Calls
Review a comparison of RestClient, WebClient, and RestTemplate libraries for calling REST APIs in Spring Boot applications, complete with recommendations for different use cases.
Discovering Preferred Java Stacks
Find out about the preferred Java stacks among developers and explore the specific reasons behind their choices, gaining valuable insights for your own projects.
Engaging with the Digma Community
Digma’s Uniqueness
Digma stands out from existing observability tools by generating unique feedback and delivering it in context, complementing other tools such as Jaeger, Prometheus, Datadog, or Splunk.
Access Example Applications
Digma offers example applications, with a Java Sample Application currently available and more examples in the pipeline.
Guarantee of Non-invasive Instrumentation
Assurance that Digma’s instrumentation does not alter code in production, relying on OpenTelemetry vanilla instrumentation with additional attributes while leaving the original code untouched.
Clear Data Collection and Analysis
Digma utilizes production data to generate real-time insights, ensuring no need for code changes to set up the tool and emphasizing that observability analytics run locally without cloud data transmission.
Join the Digma Community Today
Digma invites developers to join its highly engaged community, providing a platform to share experiences, ask questions, and exchange ideas. The community serves as a valuable resource for leveraging Digma effectively.
Try Digma for Yourself
Experience the benefits of Digma Continuous Feedback by downloading the tool for free and utilizing it in your local environment.