Digma Preemptive Observability

Preempt the issues your tests miss

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Digma is a Preemptive Observability product that uses standard observability data to identify performance and scaling issues at the code level during pre-production
This is the 2nd launch from Digma Preemptive Observability. View more

Digma Preemptive Observability

Preempt performance and scaling issues in pre-production
Digma is a Preemptive Observability product that identifies performance and scaling issues in pre-production environments and provides a code-level root cause and the severity of the issues, all done automatically and continuously.
Digma Preemptive Observability gallery image
Digma Preemptive Observability gallery image
Digma Preemptive Observability gallery image
Digma Preemptive Observability gallery image
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Launch tags:Software Engineering•Developer Tools•Artificial Intelligence
Launch Team
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Ben Lang
Cursor
Hunter
📌
Congrats team digma, awesome launch!
Roni Dover
Maker
WHAT IS DIGMA Digma's Preemptive Observability 👀 brings an innovative approach for using observability data to preempt issues before they manifest, instead of relying on alerts to fix them after the fact 🤦‍♂️. OBSERVABILITY IN THE AGE OF GENAI 🤖 AI code generation is revolutionizing software development, enabling teams to build faster than ever before. But with speed comes risk—without visibility into potential flaws, AI-generated code can introduce performance issues, scalability bottlenecks, and security vulnerabilities that only surface in production. Dealing with a continuous stream of production incidents drags down the team's velocity and creates constant friction for end users. PREEMPT VS POST MORTEM 🧟 Teams that aim to stop issues early and before they reach production, cannot rely on a postmortem approach using APMs. These tools are built to alert the team to issues and facilitate investigation once the problem already occurred. Digma switches to a preemptive approach. It analyzes the same data as APMs and identifies specific code issues using patterns, nipping them in the bud while still in pre-production. To close the loop, Digma provides AI fix suggestions. KEY FEATURES → Continuously identify code performance, scaling issues, query problems, and other issue types 🐞 → Cut resolution time by automatically root cause analyzing each issue as well as providing AI-driven fix suggestions ⚡️ → Prevent breaking changes by highlighting the affected areas and impacted components for each code change and Pull Request → Scaling up your application by identifying which areas of your codebase will scale seamlessly and which may create bottlenecks ⚖️ → Prioritizing technical debt 💰 by assessing existing issues i impact and criticality → Using OTEL-based observability with all supported programming languages and platforms. ☕️ → IDE and code integration: See issues, insights, and analytics within the code itself as well as metrics and traces 🔭 THE PREEMPTIVE OBSERVABILITY ANALYSIS (POA) ENGINE The Digma Preemptive Observability Analysis (POA) engine introduces an advanced approach to observability by proactively identifying potential issues before they materialize in production. It achieves this by analyzing observability tracing data, even when data volumes are low. Leveraging pattern matching and anomaly detection techniques, Digma’s algorithm extrapolates expected application performance metrics, enabling it to detect deviations or potential problems that have not yet impacted the application. In analyzing the tracing data, Digma pinpoints the issue to the specific responsible code and commits. We are super excited to bring Digma to more teams and see the kind of impact it makes on your development process. 🙏 Roni & Nir Digma co-founders https://digma.ai Try our live sandbox: https://sandbox.ui.prod.digma.sy...
Seunghwan
Ollie
@roni_dover Looks nice! Congrats on launching digma
Alex Piliavsky
How is Digma different from other observability tools?
Nir Shafrir
Maker
@alex_digital3x Hey Alex, most observability tools are taking the post mortem approach which is monitoring production and alerting when there is already a problem, Digma is a preemptive observability tool which identify the same issues but much before they reach production, allowing the teams to fix them earlier. cheers
Roni Dover
Maker
@alex_digital3x Great question! APM tools are mostly focused on alerting and providing the data in post-mortem. Digma is unique in being preemptive - finding issues before they manifest in prodution
courtney glymph
Looks great, team. Regarding production, I’m curious about any potential performance impacts and resource consumption. Could you elaborate on that?
Roni Dover
Maker
Hey @courtney_glymph ! Digma uses your current observability datastream so will not incur any additional performance cost to your application!
Nahum Timerman
Do I need to make code changes for Digma to work?
Kyrylo Shmidt
@nahum_timerman No, Digma requires no code modifications or additional observability instrumentation. It works out of the box with your existing setup.
Roni Dover
Maker
@nahum_timerman awesome question - if you're already using observability there is no need to make any changes
Shaul Ben Maor
How does Digma alert teams to issues in pre-production?
Roni Dover
Maker
@shaul_ben_maor thank you for your question - Digma analyzes the observability data and provides teams with data on the stability of their release as well as alerts them to any escalations and critical issues.
Abhishek Ambad
EmbedAI
Congrats on the launch team @Digma Preemptive Observability
Lee Sheinberg
Maker
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