Full stack observability. Zero Hassle
Automatically detect, explain, and calm the chaos when things go wrong.
Auto-instrumented full-stack visibility & SLO dashboards – we inject the right tracing, logs, and metrics across front-end and back-end, then surface them in ready-made dashboards.
Inline recovery guidance – when an error pops up, users get clear work-arounds and real-time status updates, keeping them (and your help desk) calm.
Plain-English bug reports – engineers receive detailed context and reproducible steps, so fixes ship fast.
Capture your application's full context with minimal effort
Our bot runs inside VS Code — where your developers already work.
Auto-instruments your code – with the right variables for tracing, logging, and metrics.
You stay in control – of what's logged to meet privacy and compliance needs.
Sends logs automatically – to tools like Application Insights, Datadog, and more.
No boilerplate. Just fast, compliant visibility across your stack.
SLO Dashboards That Just Work
Skip the setup. Our bot builds meaningful dashboards based on your service goals — no noise, no fluff.
Ask in plain English – e.g. "How long does the payment API take?" and we'll track it.
Filters the noise – ignores expected errors like 403s, so you focus on real problems.
Alerts pre-configured – SLO and error alerts set up in Application Insights.
See your service health clearly — without the clutter.
Inline Recovery Guidance for end users
Turn errors into a smoother experience for your users.
Acknowledge instantly – show a friendly popup with an issue ID.
Suggest workarounds – help users keep going without calling support.
Follow up – notify users via email or SMS when it's fixed.
Keep users informed and on track — even when things go wrong.
Plain-English Bug Reports
Clear, actionable insights — no log digging required.
Repro steps in plain English – what happened, how, and where.
Code insights made simple – what broke and how to fix it.
Impact quantified – users affected, features blocked, dollars lost.
Fix faster with clear context — no guesswork.
