aws

EC2 node port conflict during auto-scaling of AI inference services

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Problem Description During rapid auto‑scaling of a real‑time video analytics pipeline, newly launched EC2 instances intermittently crash the AI inference workers and drop video frames. The failure manifests as binding errors from both the TensorFlow Serving containers and the WebSocket ingestion daemons: EADDRINUSE: address already in use :::8080 BindException: Address already in use (Bind failed) … Read more

Kubernetes StatefulSet update timed out on AWS EC2

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Problem – StatefulSet Update Times Out on AWS EC2 During a production rollout of a machine‑learning model service, the StatefulSet responsible for serving the model failed to complete its rolling update. The kubectl rollout status command returned: statefulset.apps/model-service rollout status: waiting for rollout to finish: 1 out of 3 new replicas have been updated… error: … Read more

EC2 AI model output schema mismatch after deployment

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Problem Description After deploying a large language model (LLM) that uses OpenAI‑style function calling (tool use) on Amazon EC2, the downstream service that parses the model’s responses repeatedly raises schema‑validation errors. Typical log entries look like: ERROR: Output schema mismatch – received: “`json\n{…}\n“` expected: <JSON object> json.JSONDecodeError: Expecting value: line 1 column 1 (char 0) … Read more

EC2 batch ingestion timeouts during high volume Redshift loads

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Problem – Intermittent EC2 Batch Ingestion Timeouts During High‑Volume Redshift Loads A daily data pipeline runs on an Auto Scaling group of Amazon EC2 instances. Each instance reads structured log files from Amazon S3 and issues a COPY command to load the data into an Amazon Redshift cluster. During peak ingestion windows the following symptoms … Read more

AWS EC2 GPU token limit exceeded during language model evaluation

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Problem — Token‑limit failures during language‑model evaluation on AWS EC2 GPU instances When running a Hugging Face transformers evaluation pipeline on an EC2 GPU instance (e.g., p3.2xlarge, g5.12xlarge), the script aborts with errors such as: ValueError: Token indices sequence length is longer than the model maximum sequence length (max_length=2048). or RuntimeError: CUDA out of memory. Tried to allocate 12.3 GiB … Read more

Multimodal input misalignment after deploying to AWS EC2 from on-prem

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Problem Description A multimodal model (text + image) that runs flawlessly on an on‑premises GPU server produces misaligned predictions after being deployed to an AWS EC2 GPU‑optimized instance (e.g., p3.2xlarge or g4dn.xlarge). Typical symptoms observed in the logs are: RuntimeError: size mismatch, tensor A has 768 elements but tensor B has 1024 elements ValueError: Expected input batch … Read more