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Claude Code plugin for mobile app observability: crash reporting, performance monitoring, and instrumentation for iOS, Android, and React Native
Cosdata: A cutting-edge AI data platform for next-gen search pipelines. Features semantic search, hybrid capabilities, real-time scalability, and ML integration. Designed for immutability and versi…
Splunk GDI specification for cross-repository compatibility
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers,…
Splunk OpenTelemetry Collector for Kubernetes
WeeSVC service implemented in Go with Gorilla Mux.
Swift benchmark runner with many performance metrics and great CI support
Code example from the book "Certified Kubernetes Application Developer (CKAD) Study Guide" published by O'Reilly Media.
Horizontal Pod Autoscaler custom/external metrics provider for Kubernetes that uses SignalFx as the backend
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Kubernetes IN Docker - local clusters for testing Kubernetes
Get a monitoring system up and rolling easily with a few steps
🐶 Kubernetes CLI To Manage Your Clusters In Style!
PyTorch package for the discrete VAE used for DALL·E.
How to track Kafka components with Splunk Observability Cloud and Opentelemetry
This repository contains the OpenTelemetry Astronomy Shop, a microservice-based distributed system intended to illustrate the implementation of OpenTelemetry in a near real-world environment.
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
An open access guide to Cloud-Native Observability.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.