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Observability stack for vLLM inference deployments

Your community for everything Large Language Models. Discuss the latest research, share prompts, troubleshoot issues, explore real-world applications, and stay updated on breakthroughs in AI and NLP. Whether you’re a developer, researcher, hobbyist, or just LLM-curious, you’re welcome here. Ask questions, share your projects, and connect with others shaping the future of language technology.

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Inferencing GPT-OSS-20B with vLLM, Observability for AI Workloads

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Inferencing GPT-OSS-20B with vLLM: Observability for AI Workloads

News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.

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Observability Agent Profiling: Fluent Bit vs OpenTelemetry Collector Performance Analysis

News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.

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Observability Agent Profiling: Fluent Bit vs OpenTelemetry Collector Performance Analysis

everything site reliability engineering

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Observability Agent Profiling: Fluent Bit vs OpenTelemetry Collector Performance Analysis

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Observability Agent Profiling: Fluent Bit vs OpenTelemetry Collector Performance Analysis

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Observability Agent Profiling: Fluent Bit vs OpenTelemetry Collector Performance Analysis

Topics related to Observability and Monitoring in modern DevOps practices.

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Sending Telemetry Data from OpenTelemetry Demo App to an Unified Observability Platform

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How Zero Stack Architecture Delivers Full Stack Observability

Topics related to Observability and Monitoring in modern DevOps practices.

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The Economics and Physics of 100 TB daily telemetry data

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Magic Quadrant for Observability Platforms – Thoughts on 2025 Report?

Topics related to Observability and Monitoring in modern DevOps practices.

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Benchmarking Zero-Shot Forecasting Models on Live Pod Metrics

Topics related to Observability and Monitoring in modern DevOps practices.

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Benchmarking Zero-Shot Time-Series Foundation Models on Production Telemetry

everything site reliability engineering

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Streaming AWS Events into Your Observability Stack

Topics related to Observability and Monitoring in modern DevOps practices.

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Centralise AWS Events with Parseable Observability Platform

everything site reliability engineering

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Hiring Founding Engineers for a seed-stage startup in our Bangalore office

A community for career discussion, questions and advice.

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Hiring Rust Engineers for our India Office !!

A place for all things related to the Rust programming language—an open-source systems language that emphasizes performance, reliability, and productivity.

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Optimizing OTEL Trace Storage: How Apache Parquet Helps with Speed and Efficiency

Topics related to Observability and Monitoring in modern DevOps practices.

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How We Handle TBs of Trace Data: Apache Parquet + Smart Caching

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Efficiently Storing and Querying OTEL Traces with Parquet

News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.

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Handling High Cardinality in Observability Data

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High cardinality meets columnar time series system

Topics related to Observability and Monitoring in modern DevOps practices.

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High cardinality meets columnar time series system

News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.

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Why OLAP Databases Might Not Be the Best Fit for Observability Workloads

News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.