INCIDENT POST-MORTEM REPORT #RC-9902 STATUS: CRITICAL / RESOLVED (FOR NOW) DATE: OCTOBER 24, 2023 LEAD SRE: ELIAS (SRE-01) DURATION: 18 HOURS, 14 MINUTES SUBJECT: THE DAY THE WEIGHTS MELTED I. RAW TERMINAL LOG DUMP (STDOUT/STDERR) [2023-10-24 03:12:01] [INFO] Starting Smart-Optimizer-v2.sh… [2023-10-24 03:12:05] [DEBUG] Scanning GPU memory… 8x NVIDIA A100-SXM4-80GB detected. [2023-10-24 03:12:10] [WARN] CUDA 12.1 … Read more
[2024-05-22 03:14:09.442] CUDA Error: 701 (cudaErrorIllegalAddress) on GPU 4. Address: 0x7f8e4c000000. [2024-05-22 03:14:09.445] GPU 4: Thermal Throttling Active. Temp: 94C. Clock: 210MHz. Vcore: 0.62V. [2024-05-22 03:14:10.112] FATAL: Kernel Panic in nv_compute_module. Memory corruption detected at 0x00007f8e. [2024-05-22 03:14:10.115] Process 14209 (python3.12) terminated with signal 6 (SIGABRT). [2024-05-22 03:14:10.118] Cluster status: 7/8 H100 SXM5 online. Node … Read more
INCIDENT ID: #8842-ALPHA. STATUS: UNRESOLVED. SUBJECT: WHY THE MODELS BLINKED. INCIDENT LOG: 2024-05-12T03:14:07Z to 2024-05-15T03:14:07Z Environment: Ubuntu 22.04.4 LTS, Kernel 6.5.0-27-generic, OpenSSL 3.0.2, Python 3.11.5. Hardware: Edge-Node-04 (Production Cluster), 128GB RAM, NVIDIA A100 (Inference Offload). # 03:14:07 – Initial anomaly detected by ‘SmartWatch AI’ (Confidence: 12%) – Ignored by Auto-Remediation. # 03:15:22 – Manual check … Read more
I remember when we used to count bytes. Now, people import a library just to print a string. It’s disgusting. But let’s talk about why I’m wrong. It was 4:12 AM. I was staring at a terminal window, my eyes burning from the blue light and the third pot of coffee that tasted more like … Read more
It’s 4:14 AM. The pager went off three days ago and I haven’t seen sunlight since. If I see one more ‘hallucination’ treated as a feature, I’m quitting. The following is the internal post-mortem for the “Project Chimera” collapse that wiped out our production inference cluster across three regions. If you are a junior dev … Read more
POST-MORTEM REPORT: INCIDENT #8842-B (REGISTRY OOM-KILL) DATE: 03:14 AM AUTHOR: Senior Systems Architect (Infrastructure/Core) STATUS: Severely Caffeinated / Highly Irritated SUBJECT: THE MANIFESTO OF EFFICIENCY: WHY YOUR 4GB IMAGE IS A CRIME AGAINST ENGINEERING It is 3:00 AM. My pager didn’t just beep; it screamed because our private registry’s storage volume hit 100% capacity and … Read more
text 2024-05-21T03:14:07.892Z [ERROR] [BatchID: 9921-X] FATAL: Connection reset by peer. 2024-05-21T03:14:08.001Z [WARN] [Kinesis-Consumer] Shard iterator expired. Retrying… 2024-05-21T03:14:08.445Z [CRITICAL] [Billing-Alert] Estimated charges for current month: $42,901.12 (Threshold $5,000 exceeded). 2024-05-21T03:14:10.112Z [SYS] Kernel Panic – not syncing: Fatal exception in interrupt. $ aws ec2 describe-instances –filters “Name=instance-state-name,Values=running” –query “Reservations[].Instances[].[InstanceId, State.Name, PrivateIpAddress, InstanceType]” –output table | DescribeInstances … Read more
INTERNAL MEMO: AETHER-SCALE POST-MORTEM LOG #88-B FROM: Silas, Lead Systems Architect (Bare-Metal Division) TO: Junior Engineering Cohort (Cloud-Native/API-First Teams) SUBJECT: The Manifesto of Regret Listen up. I’ve spent thirty years in the trenches, from the days of hand-soldering serial cables to the current nightmare of virtualized abstractions. I’ve watched the industry trade stability for “velocity” … Read more
text $ npx react-native run-android info Starting JS server… info Building and installing the app on the device (failed reverse-proxy)… Task :app:installDebug FAILED FAILURE: Build failed with an exception. What went wrong: Execution failed for task ‘:app:mergeLibDexDebug’. A failure occurred while executing com.android.build.gradle.internal.tasks.CheckDuplicatesRunnable Duplicate class com.facebook.jni.HybridData found in modules jetified-fbjni-0.5.1 (com.facebook.fbjni:fbjni:0.5.1) and jetified-hermes-android-0.74.2-debug (com.facebook.react:hermes-android:0.74.2) Go … Read more
[2023-10-24 03:14:22.891] ERROR: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.50 GiB (GPU 0; 80.00 GiB total capacity; 64.22 GiB already allocated; 1.12 GiB free; 72.45 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF [2023-10-24 03:14:25.102] … Read more