Detection

Sazabi opens an investigated issue when attack payloads, exploit probes or credential stuffing show up in your logs. No rules to write. See what is live.

Sazabi opens an investigated issue when token usage jumps by feature or customer, a sign of a looping or abused agent. See what is live and what is not.

Sazabi sets up detection for vendor API responses that change shape, such as a field that starts arriving empty, and opens an investigated issue.

Sazabi opens an investigated issue when a quota, burst credit, rate limit or file handle budget runs low. Its agent sets it up from your logs.

Sazabi spots SQL injection, SSRF and path traversal payloads in your logs and opens an investigated issue. You set nothing up.

Sazabi writes sensors for failed-login bursts, credential stuffing and impossible travel from your login logs and opens investigated issues.

Sazabi opens an investigated issue when a service goes quiet, an event rate collapses or workers crash-loop. No alert rules to write.

Sazabi opens an issue when a cron job skips, a queue backs up, a job retries in a loop or a sync goes stale. Sensors the agent writes for your jobs.

Sazabi spots scrapers, headless browsers and rotating-IP bots in your logs and opens an investigated issue. You write no rules.

Sazabi opens an investigated issue when high-rate clients, headless browsers or rotating IPs show up in your logs. See what this category covers today.

Sazabi opens an issue when failures hit only one browser, OS, app version, region or customer. Group-level checks the agent writes. Example inside.

Sazabi opens an investigated issue when a key event vanishes, funnel conversion falls or signups and payments run far below usual. No dashboards to watch.

Sazabi watches signups, applications, payments and messages and opens an investigated issue when volume moves far outside its usual pattern.

Sazabi opens an issue when a connection pool, queue, quota or cardinality count heads toward a limit. Sensors the agent writes and maintains for you.

Sazabi opens an issue when a field in your logs gains far more distinct values than usual, such as a cache key or user ID. Includes an example issue.

Sazabi opens an issue when users hit JavaScript exceptions, failed fetches or hydration errors in your web or React Native app. Setup is one SDK.

Sazabi sets up detection for throttling and API errors from AWS or GCP in your logs, then opens an issue that says which service, which call and why.

Sazabi opens an investigated issue when deploys, boots or cold starts keep getting slower. Its agent sets this up from the startup lines in your logs.

Sazabi opens a correctness issue when work finishes with the wrong outcome: a vanished event, drifting field, funnel drop or mismatched count.

Sazabi opens an investigated issue when log volume, retries, field cardinality or LLM tokens jump. Four live signals feed it. Cloud bills are not covered.

Sazabi sets up crash loop detection from the restart, out-of-memory and health check lines in your logs, then opens an issue that is already investigated.

Sazabi writes sensors for oversized exports and bulk downloads from your logs and opens an investigated issue when one actor pulls too much.

Sazabi opens an issue when fields drift, a vendor changes a response, two systems disagree on counts or data stops refreshing. No rules to write.

Sazabi opens an investigated issue when a vendor slows, throttles, changes its response or stops calling your webhooks. You set nothing up.

Sazabi opens an efficiency issue when log volume, retries or LLM spend jump, or when a service goes quiet. No rules to write.

Sazabi sets up detection for jobs that finish green but process zero items, send zero emails or write zero rows, and opens an investigated issue.

Sazabi opens an issue when an event in your logs runs far above or below its usual rate. No rules to write. See an example.

Sazabi flags traffic that matches known exploits against your stack and opens an investigated issue. No rules or feeds to maintain.

Sazabi writes the checks for you and opens an issue when a field starts going null, empty or oddly sized in your logs. See an example issue.

Sazabi opens an investigated issue when users hit client errors, a web vitals regression or a bug that affects one browser, app version or customer.

Sazabi opens an issue when users stop moving from one step of a flow to the next, such as signup started to completed. Built from your logs.

Sazabi opens an investigated issue when a route slowly gets slower over days or weeks. You write no alert rule.

Sazabi opens an investigated issue when latency jumps to a new level, such as after a deploy. No threshold for you to tune.

Sazabi sets up detection for LLM output shifts such as malformed JSON, refusals, length and token use from your AI logs, then opens an issue.

Sazabi writes sensors for token usage jumps and agent loops from your logs and opens an investigated issue before the model bill arrives.

Sazabi opens an investigated issue when a service starts writing far more logs than usual and names the line behind it. No rules to write.

Sazabi opens an investigated issue when a scheduled job did not run, ran twice or ran long. Its agent writes the check from your job logs.

Sazabi opens an issue when a new kind of error appears in your production logs, such as after a deploy. No rules to write. Here is what you get.

Sazabi opens an investigated issue when a service goes quiet or secrets and personal data land in your logs. No rules to write.

Sazabi opens an investigated issue when latency creeps, jumps or stretches in the tail. No thresholds for you to set.

Sazabi ties signals that begin minutes after a deploy back to the release, so one issue says which change caused them. Example issue inside.

Sazabi writes sensors for new admins, role escalations and new API keys from your audit logs and opens investigated issues when one looks wrong.

Sazabi opens an investigated issue when a job queue keeps growing faster than workers clear it. Its agent sets this up from your queue logs.

Sazabi opens an investigated issue when jobs and workflows wait longer in a queue before running. Its agent sets this up from your job logs.

Sazabi sets up detection for counts that stop matching across systems, such as payments captured against orders created, and opens an investigated issue.

Sazabi catches regressions after a deploy: new errors, latency jumps, post-deploy shifts and LLM drift. Each opens an issue that is already investigated.

Sazabi sets up sensors for outages, silent failures, slowness, capacity, failing jobs and dependencies, and opens an investigated issue when one fires.

Sazabi opens an issue when the same job, call or message is retried over and over. The agent writes the check for your system. Example issue included.

Sazabi opens an investigated issue when CPU, memory, connection pools, thread pools or disk run near full. Its agent finds them in your logs.

Sazabi opens an investigated issue when tokens, keys, emails or ID numbers are written to your logs. You set nothing up. See the coverage.

Sazabi flags API keys, tokens and personal data written to your logs and opens an investigated issue. No rules to write.

Sazabi opens a security issue when logs show attack payloads, exploit attempts, bots, odd logins, data egress or secrets. No alert rules to write.

Sazabi opens an issue when events vanish, a job succeeds with empty output or webhooks stop. No rules to write.

Sazabi opens an investigated issue when a service or log source stops sending logs. No timeouts to set.

Sazabi opens an investigated issue when a cache or sync job stops refreshing, even if no error is logged. No rules to write.

Sazabi opens an investigated issue for authentication anomalies, privilege changes and unusual data egress seen in your logs. Here is what is live today.

Sazabi opens an issue when your slowest requests get much slower while the typical one looks fine. No percentile setup.

Sazabi opens an issue when an event that normally happens stops while traffic stays normal. No rules to write. Example inside.

Sazabi sets up detection for a provider that gets slow or starts erroring, based on the calls your code makes, then opens an investigated issue.

Sazabi sets up detection for 429s and throttling from vendors your code calls, then opens an issue that shows who is throttled and what is driving it.

Sazabi opens an issue when page load or interaction timings that your app logs get worse on a page. The agent writes the check. Example issue inside.

Sazabi watches inbound webhooks and opens an investigated issue when events that normally arrive stop. No alert rule to write.