conversational
debugging

Forget dashboards. Ask questions in plain language and get answers with root causes, visualizations, and fixes. No query language required.

Sherwood Callaway
Ed Carrel
Henry Ventura
Alex Holovach
Hadley Callaway
Tom Nagengast
Justin Ko
Rupa Vemulapalli
Asif Arman
Lewis Liu
Daniel Young
Andrew Aymeloglu
Abhi Aiyer
Demetrios Brinkmann
Ivan Burazin
Harrison Chase
Sonny Gupta
Jay Hack
Why is the checkout API returning 500 errors?
Auth service not responding
Deploy failed on staging
Latency spike on /api/payments
Database connection pool exhausted
Memory leak in worker pods
CI pipeline stuck for 20 minutes
Rate limiter blocking valid requests
Avatar Sherwood Callaway
Sherwood Callawaynow
@sazabi Why is the checkout API returning 500 errors?
Avatar Alex Holovach
Alex Holovachnow
@sazabi Auth service not responding
Avatar Ed Carrel
Ed Carrelnow
@sazabi Latency spike on /api/payments
Avatar Hadley Callaway
Hadley Callawaynow
@sazabi Memory leak in worker pods
Avatar Tom Nagengast
Tom Nagengastnow
@sazabi Rate limiter blocking valid requests
Queries

Ask anything

Error investigation

Ask plain-language questions to surface and filter specific errors across services, without manually digging through logs.

Change correlation

Connect recent deployments or config changes to performance shifts, making it easy to spot what triggered an incident.

Root cause analysis

Trace failures back to their origin by following the chain of dependencies upstream from where the error surfaces.

Error investigation

Ask plain-language questions to surface and filter specific errors across services, without manually digging through logs.

Change correlation

Connect recent deployments or config changes to performance shifts, making it easy to spot what triggered an incident.

Root cause analysis

Trace failures back to their origin by following the chain of dependencies upstream from where the error surfaces.

Impact assessment

Instantly understand the blast radius of a bug: how many users, requests, and regions are affected right now.

Trend analysis

Visualize how metrics like error rates or memory usage behave over time to catch patterns before they become incidents.

System diagnostics

Visualize how metrics like error rates or memory usage behave over time to catch patterns before they become incidents.

Avatar Sherwood Callaway
Sherwood Callaway9:14 AM
What errors are users hitting on the payments page?
SazabiAPP9:14 AM
Found 3 distinct error patterns in the last hour: 67% are CARD_DECLINED from Stripe API — expected behavior.

28% are INVALID_POSTAL_CODE in PaymentForm.tsx:89.

5% are NETWORK_ERROR timeouts to api.stripe.com in ap-southeast-1.
Avatar Ed Carrel
Ed Carrel3:12 PM
What changed before latency spiked at 3pm?
SazabiAPP3:12 PM
Two changes correlate with the spike at 15:00 UTC:

Deploy order-service v1.8.3 added eager loading on /orders — query count went from 3 to 47.

Feature flag new-inventory-check enabled for 100% of traffic, adding an external API call per checkout.
Avatar Henry Ventura
Henry Ventura10:03 AM
Why are webhook deliveries failing?
SazabiAPP10:03 AM
Traced the failure across 4 services:
  • webhook-worker failing to POST
  • outbound-proxy returning 503
  • nat-gateway hit 65,535 port limit
  • connection leak in email-service
holding 43,000 stale connections
Avatar Justin Ko
Justin Ko11:47 AM
How many customers are affected by the auth outage?
SazabiAPP11:47 AM
2,847 users received errors in the last 15 min. 12% of active sessions unable to authenticate.

3 regions affected: us-east-1 (89%), eu-west-1 (8%), ap-northeast-1 (3%).

~$14,200 in blocked checkout attempts. Enterprise accounts using SSO bypass are unaffected.
Avatar Tom Nagengast
Tom Nagengast2:30 PM
Is memory usage on api-service getting worse over time?
SazabiAPP2:30 PM
Yes, clear degradation pattern. Baseline 2 weeks ago: 512MB stable.

Current: 1.8GB average, growing ~50MB/hour until OOM restart every ~6 hours.

Leak likely introduced in v2.3.0 (deployed March 8) — correlates with new caching layer in SearchService.

Impact assessment

Instantly understand the blast radius of a bug: how many users, requests, and regions are affected right now.

Trend analysis

Visualize how metrics like error rates or memory usage behave over time to catch patterns before they become incidents.

System diagnostics

Visualize how metrics like error rates or memory usage behave over time to catch patterns before they become incidents.

Dynamic visualizations

Seeing is
believing

Ask your stack what's broken, slow, or acting weird, in plain language. The system correlates logs, metrics, and traces to answer back with causes.

api_latency12:03 – 12:194s1s100ms12:0312:0712:1112:1512:19
error_logs
Sep 01, 10:30:00Oct 15, 10:30:00

Accelerate your insight

Sazabi doesn’t dump a full dashboard on you. Every response renders exactly the components your question requires — nothing more, nothing less.

The right chart, always

The agent picks the right visualization after investigating. A latency question gets a chart. An impacted users question gets a table.

Dynamic and interactive

Any chart, table, or diagram Sazabi generates can be shared instantly with your team. No exporting, no screenshots, just send the conversation.

More features

Complete
context

More features

Beyond the conversation. Sazabi builds a deeper understanding of your system with every interaction.

Code Search

Sazabi understands your repositories, services, and architecture, not just your logs. Ask questions that reference your actual code and get answers that make sense in context.

Code search illustration

Perfect Memory

Sazabi remembers past incidents, deployments, errors, and your team’s preferences over time. The more you use it, the more it understands your system.

Memory illustration

Integrations

Sazabi connects to the tools your team already uses, from code hosting to communication platforms. No new workflows, just deeper answers from the context you already have.

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