Engineering Logs for Troubleshooting & Debugging
Problem After a bulk indexing run of several hundred thousand documents, the Haystack SearchQuerySet latency spikes dramatically. The 95th‑percentile response time, which normally sits around 0.8 s, climbs to 5 s–12 s for simple term queries. The issue appears only after the indexing job finishes; during indexing the query latency remains low. Typical symptoms observed in production: API … Read more
Problem: Inference Queue Backlog Causing Latency Spikes in Real‑Time Streaming A high‑throughput video streaming service runs a fleet of Docker containers, each hosting an AI inference worker that processes incoming frames. Over the past weeks the pipeline has exhibited intermittent latency spikes and dropped frames. Monitoring shows a growing backlog in the internal inference queue, … Read more
Problem: Intermittent Mistral AI Query Latency Spikes During High‑Concurrency Batch Jobs During nightly batch processing, a fleet of GPU‑accelerated inference servers receives up to 10,000 concurrent requests per batch. The SLA for a single query is ≤ 150 ms, yet certain batches exhibit response times of 600‑800 ms, a 4‑5× increase. The latency spikes are non‑deterministic: the … Read more
Problem Description During inference with the Google Gemini model in a hybrid‑cloud deployment, the logprob field in the response payload intermittently contains NaN or null values. The symptom manifests as: Inconsistent token scoring – generated text appears correct, but downstream ranking logic that relies on log probabilities fails. API errors such as HTTP 400 with … Read more
Problem: Google Gemini Query Latency Spikes in Staging During Peak CI Load During nightly integration runs the staging environment experiences Gemini model response times up to 5× the SLA threshold (e.g., 300 ms → 1.5 s). The spikes are correlated with the start of a large CI batch (≈200 concurrent test jobs). Symptoms include: Latency histogram in … Read more
Problem During a traffic surge on the API gateway that fronts the Anthropic Claude service, response times for /v1/complete calls jumped from the typical 300‑500 ms to several seconds, occasionally reaching 30 s. The latency spike was intermittent but correlated with periods when the gateway handled thousands of concurrent requests per second. Typical error messages observed in … Read more
Problem Description Grafana dashboards that visualize real‑time model inference latency and GPU utilization are experiencing intermittent rendering latency spikes that exceed 8000 ms. The symptoms observed in the UI and logs are: Panel data request timed out after 8000 ms (Grafana UI). Grafana logs contain datasource query timeout and Failed to query datasource: context deadline exceeded. Prometheus … Read more
Problem Description During peak ingestion windows of a real‑time LLM inference pipeline, Prometheus query latency exceeds the 5‑second Service‑Level Objective (SLO). The most common symptom is a timeout error returned by the HTTP API: error: query timeout after 5s Dashboard panels that aggregate inference_latency_seconds by endpoint and model start rendering in 10‑12 seconds. The issue correlates … Read more
Problem Description In a development sandbox that runs Meta LLaMA (v1) on a single NVIDIA A100 GPU, query latency jumped from an average of 150 ms to > 800 ms** within a two‑hour window. The workload is low‑concurrency (1‑5 queries per minute) and uses the default inference script from the Meta LLaMA 2 Documentation. The spike broke … Read more
Problem – Latency Spike in Kubernetes‑Hosted AI Inference Service During peak traffic windows the inference endpoint that serves ~100 ms predictions suddenly starts responding in 1 s +. The spike is repeatable, lasts for the duration of the load burst, and then returns to baseline once traffic subsides. Key observations: CPU and memory usage on GPU‑accelerated pods stay … Read more