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Shashi Singh's Projects

kafka-examples icon kafka-examples

Snippets and small examples demonstrating kafka features and configs

kafka-monitor icon kafka-monitor

Kafka Monitor oversees the availability of clusters by producing synthetic workloads using end-to-end pipelines to obtain a number of derived vital statistics like E2E latency, service availability and message loss rate. It can also reassign partition and trigger PLE to ensure each broker acts as leader of at least 1 partition of the monitor topic.

kafka-spark-consumer icon kafka-spark-consumer

High Performance Kafka Connector for Spark Streaming.Supports Multi Topic Fetch, Kafka Security. Reliable offset management in Zookeeper. No Data-loss. No dependency on HDFS and WAL. In-built PID rate controller. Support Message Handler . Offset Lag checker.

kafka-storm-starter icon kafka-storm-starter

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

kale icon kale

Kubeflow’s superfood for Data Scientists

karpenter icon karpenter

Kubernetes Node Autoscaling: built for flexibility, performance, and simplicity. https://karpenter.sh

keras-ocr icon keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

kube-oidc-proxy icon kube-oidc-proxy

Reverse proxy to authenticate to managed Kubernetes API servers via OIDC.

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

lanarky icon lanarky

The web framework for building LLM microservices

langfuse icon langfuse

🪢 Open source LLM observability, analytics, prompt management, evaluations, tests, monitoring, logging, tracing, LLMOps. 🕵️‍♂️ Langfuse: the LLM engineering platform. Debug, analyze and iterate together - 🍊YC W23 🤖 Stable SDKs + integrations for Typescript, Python, OpenAI, Langchain, Litellm, Flowise, Superagent and Langflow

learningsparkv2 icon learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

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