Automated RCA clusters failed sessions, summarizes the root cause, and proposes the fix. The per-session debug analyzer surfaces network, console, and command logs for any single failure. The cross-session RCA spots the pattern when the same flake hits seven specs at once.
Cluster instead of triage. One RCA summary replaces a morning of session-by-session debugging across the release pipeline.
Release-day proofEvery RCA writes the pattern, the suggested cause, and the proposed fix to the session record. Defensible to QA leadership and compliance.
Audit trailCluster RCA reasoning uses your bring-your-own LLM. Failure data and logs stay inside your perimeter.
Private inferenceRecommendations bucket into Selenium, SBOX, or Infrastructure. The engineer gets a fix path, not a hint.
ActionableEvery long-lived test suite carries the same hidden cost. When a deploy ships a regression, the same root cause fails dozens of sessions at once. Engineering opens seven debug tickets, reads seven traces, finds one cause. Automated RCA collapses that into one summary, attached to the pattern, with a proposed fix.
Symptom. A backend service deploys, p95 latency climbs from 340ms to 9.4s, and seven E2E specs time out on dashboard load. Each session shows TimeoutError. Engineering reads each trace individually.
Symptom. Kubernetes pods take 30 minutes to scale. Queue wait time grows. Tests fail with start-time exhaustion. The session log just shows the timeout, not the cause.
Symptom. A command that normally takes 200ms starts taking 700ms after a feature flag flip. Tests don't fail, they get slower. Nobody notices until p95 SLOs break.
Automated RCA is two capabilities under one name. The per-session debug analyzer answers 'why did this single session fail'. The cross-session cluster RCA answers 'why are these seven sessions failing together'. Engineers get both, automatically, on every failed run.
Surfaces network logs, console logs, and command logs for the failed session. Flags slow commands against historical baseline. Categorizes recommended fixes into three buckets.
Clusters failed sessions across the build by signature. Identifies common root cause across the cluster. Attributes the cluster to a specific commit or change. Proposes a concrete fix.
The same seven failed sessions land in the queue. Without RCA, engineering opens each one individually. With RCA on, the system identifies the cluster, attributes the cause to a deploy or config change, and queues the fix for review.
Same failure set in both runs. Only the e34:rcaCluster capability changed.
Per-session debug analysis is on by default for every SBOX session. Cross-session cluster RCA activates with a single capability flag at the build level. Existing Selenium specs do not change.
Generic "something failed" messaging is useless to a busy engineer. Automated RCA bins every recommendation into one of three categories so the right person owns the fix without escalation hops.
When the cause is at the framework or test level. Fix stale locators, tune wait strategies, add missing assertion guards.
When the cause is in the test infrastructure configuration. Loosen timeout settings, align capability declarations, add missing browser flags.
When the cause is below the test layer. Identify backend latency spikes, fix pod scaling delays, reduce network jitter, resolve dependency outages.
Automated RCA's cluster summarization uses your bring-your-own LLM. Per-session debug analysis runs on deterministic heuristics with no model invocation. Failure data and logs stay inside the customer environment.
Most heals and most diagnostics never invoke a model. Cluster reasoning uses the model the customer already trusts, configured in the SBOX config.
Use your OpenAI, Anthropic, or Azure OpenAI subscription. Or a self-hosted model running inside your environment.
Per-session debug analyzer uses deterministic rules and historical baselines. No model call. No token spend.
Session logs, network captures, and stack traces never leave your environment. Element34 has no visibility into your failures.
The five AI native modules inside SBOX cover the full lifecycle. Automated RCA is the diagnostic layer.
Plain-English to production-grade Selenium. Authoring entry point.
Explore Studio →Resilient locators. Heals what would have caused a flake before RCA sees it.
Explore Auto Heal →Site health view. Aggregates RCA findings over time into prioritized opportunities.
Explore Pulse Report →Real iOS and Android devices. RCA applies the same way as desktop browser sessions.
Explore Real Device Cloud →Share the failed cluster from your most recent red build. We run Automated RCA on your private grid and return the cluster summary, attributed cause, and proposed fixes across Selenium / SBOX / Infrastructure categories. Annual licensing, predictable across the contract term. Talk to sales for a scoped quote.
