Blacksmith experienced a 9-hour control plane degradation triggered by a burst of delayed GitHub webhooks, which saturated the primary Redis instance and created a feedback loop that caused widespread caching, sticky disk, and job adoption failures across all regions. Jobs ran significantly slower than baseline, compounding queue buildup and delaying new job starts. The incident was resolved by redistributing load across multiple Redis instances, fixing Bazel caching, and draining regional job queues, with all regions returning to normal job adoption latencies by the end of the incident.
Trusted by 1,000+ teams
Stop finding out about outages from your users. Monitor 6,320+ cloud services and get alerted the second something breaks.
We are continuing to investigate degradation in our control plane services. This is causing a large % of caching and stickydisk requests to fail, which in turn cause customer jobs to run much slower than their baseline. The slower runs are exacerbating queueing of new jobs that are coming in to the system. We are actively investigating and rolling out fixes to unblock customer jobs.
We have rolled out fixes to our workload to bring database query latency back to baseline. The degradation has now moved to other parts of our stack. We are continuing to investigate the root cause here. Customers can still expect to see degraded cache interactions. We will provide an update within the next 30 minutes.
We have applied a change to our backend systems and metrics are showing partial improvement, though not yet back to baseline. Customers can still expect degraded cache interactions while we continue to investigate the root cause. We will provide an update within the next 30 minutes.
Our primary Redis instance, which backs our control plane, hit a saturation point, leading to a feedback loop of load. The initial cause was a burst of deliveries of delayed webhooks from GitHub, and our reconciliation systems added further load to the control plane, making things worse. We have improved load balancing by spreading this workload across multiple Redis instances, and our control plane has fully recovered. The remaining impact is a backlog of queued jobs that we are actively draining, so some customers may still see delayed job starts until the queue clears. We will continue monitoring and update with our findings in the next 30 minutes.
Cache and sticky disk operations are healthy again. Bazel caching is not yet operational but being actively investigated by our team. The remaining impact is a backlog of queued jobs that we are actively draining, so some customers may still see delayed job starts until the queue drains.
Job adoption in us-west and eu-west have returned to normal. Customers in eu-central may still see delayed job starts while we clear the remaining queue backlog. We have identified the cause of the Bazel caching issue and are now implementing a fix. We will provide another update within the next hour.
We are still watching over the job queue draining in one of our regions (eu-central). Customers in this region will see a delay for their jobs to be picked up.
We are seeing job adoption return to normal latencies across all regions.
We are currently scanning for any missed jobs during this degradation period and ensuring that they are being dispatched.
We have applied a mitigation for the Caching and Monitors degradation. We are seeing some delays in webhook processing on our control plane which we are investigating.
We are continuing to investigate the delays in webhook processing on our control plane. Customer's may also see some degradation with caching and sticky disk components.
With IsDown, you can monitor all your critical services' official status pages from one centralized dashboard and receive instant alerts the moment an outage is detected. Say goodbye to constantly checking multiple sites for updates and stay ahead of outages with IsDown.
Start free trialNo credit card required · Cancel anytime · 6320 services available
Integrations with