Subscribe
Sign in
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.
40
Replies
Best
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...
Looks great, team. Regarding production, I’m curious about any potential performance impacts and resource consumption. Could you elaborate on that?
Hey @courtney_glymph ! Digma uses your current observability datastream so will not incur any additional performance cost to your application!
Congratulations! Please can I ask how much it costs and if you have a pay as you go plan? Can you also elaborate on your enterprise plan?
Hi @celine_borsberry1 , please check our pricing page https://digma.ai/pricing, there is a plan for a single team limited by 5 microservices and then for the enterprise plan, it is prices per the amount of microservices, so you can pay as you grow.
@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.
Hi @zyon_de_jesus, Digma is free for individual developers deploying locally, please check out other plans on pricing page: https://digma.ai/pricing/
Hi @valentyn_dudinov , in the pricing page https://digma.ai/pricing/, we mention that we only do annual billing.
Maker
@yansoul Great - we would love to hear your feedback once you installed it!
@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
@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
This sounds like a smart way to catch issues early! How does it integrate with existing workflows?
@startupsharma You can integrate it with your CI pipeline using our API to either block builds or send notifications about issues in the code.
Additionally, our web admin page provides a summary of all detected issues across different environments, making it easy to monitor and manage them
I think its will be helpful tool for my dev team, I like your demo and specifically the global code issues list. is there any integration with the CI ?
@shai_grisaru We have an API that can be integrated into the CI pipeline, and we’re actively working on enhancing it.
What happens if my team exceeds the user or endpoint limits in the Innovator Tier?
Maker
@valentin_nalivayko Hey Valentin, thanks for your comment::) You’ll need to upgrade to the Digma for Teams plan, which supports unlimited users and endpoints.
@nahum_timerman No, Digma requires no code modifications or additional observability instrumentation. It works out of the box with your existing setup.
@nahum_timerman awesome question - if you're already using observability there is no need to make any changes
@shoval_chen No, Digma operates entirely within your local environment or private cloud. Your data never leaves your organization.
@evantal great question - Digma can alert to pre-production issues by identifying them in the pre-production observability
@gheorghep Yes, Digma identifies areas of your codebase that are ready to scale and highlights potential bottlenecks. This ensures your application meets performance goals as it grows
Looks super interesting! What's the pricing model for a single developer vs. team?
@jennifer_reid3 It’s free for individual developers! You can check our pricing details here: https://digma.ai/pricing/
@eran_broder1 Yes Digma doesn't just look at how the code runs in the pre-prod environments but tries to predict how it will impact the application when running at a higher scale
Notion