Topics
Topic areas covered by the English briefs.
AI Agents
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Creating a High-Quality PPT Video with Hermes and PPT Skill
A real workflow note on using Hermes AI Agent, profiles, skills, and orchestration to produce a PPT-based video, with the full recording available on Bilibili.
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AIOps Agent Architecture Design
A structured overview of an AIOps Agent, covering requirements, system architecture, streaming output, context management, automated remediation, and observability.
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LangGraph and MCP Orchestration for an AIOps Agent
A deep dive into API design, configuration, LangGraph state machines, federated multi-cluster Agents, scheduling, and MCP tool decoupling.
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Deploying and Evaluating an AIOps Agent
Deployment notes, usage flow, feature validation, MTTR, root-cause accuracy, evidence completeness, and small-model testing for an AIOps Agent.
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Observability Platform Research and Practice
A cloud-native observability platform study covering metrics, logs, tracing, Langfuse, InfluxDB optimization, and alerting APIs.
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vLLM Tool Research
A study of vLLM's core architecture, scheduling mechanism, PagedAttention, and basic CPU-environment installation and usage.
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This Blog Is Getting Serious
A short starting note explaining why this site is becoming a more real personal homepage and content outlet.
AIOps
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AIOps Agent Architecture Design
A structured overview of an AIOps Agent, covering requirements, system architecture, streaming output, context management, automated remediation, and observability.
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LangGraph and MCP Orchestration for an AIOps Agent
A deep dive into API design, configuration, LangGraph state machines, federated multi-cluster Agents, scheduling, and MCP tool decoupling.
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Deploying and Evaluating an AIOps Agent
Deployment notes, usage flow, feature validation, MTTR, root-cause accuracy, evidence completeness, and small-model testing for an AIOps Agent.
Blog
Cloud Native
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AIOps Agent Architecture Design
A structured overview of an AIOps Agent, covering requirements, system architecture, streaming output, context management, automated remediation, and observability.
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LangGraph and MCP Orchestration for an AIOps Agent
A deep dive into API design, configuration, LangGraph state machines, federated multi-cluster Agents, scheduling, and MCP tool decoupling.
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Deploying and Evaluating an AIOps Agent
Deployment notes, usage flow, feature validation, MTTR, root-cause accuracy, evidence completeness, and small-model testing for an AIOps Agent.
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Local LLM Deployment and Inference Optimization: From Ollama to vLLM
An overview of local LLM inference bottlenecks, quantization formats, Ollama's role and limits, and vLLM optimizations such as PagedAttention and continuous batching.
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Production Deployment for Local LLMs: vLLM, Ray, Kubernetes, and VRAM Strategy
A production-focused guide to distributed vLLM deployment with Ray, Kubernetes orchestration, tensor and pipeline parallelism, VRAM planning, and operations practices.
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Kubeflow Installation, Deployment, and Usage
Deployment notes for Kubeflow on Kubernetes, including storage preparation, Notebook, Pipeline, AutoML, multi-tenancy, and model serving workflows.
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Observability Platform Research and Practice
A cloud-native observability platform study covering metrics, logs, tracing, Langfuse, InfluxDB optimization, and alerting APIs.
Hermes
Infrastructure
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Local LLM Deployment and Inference Optimization: From Ollama to vLLM
An overview of local LLM inference bottlenecks, quantization formats, Ollama's role and limits, and vLLM optimizations such as PagedAttention and continuous batching.
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Production Deployment for Local LLMs: vLLM, Ray, Kubernetes, and VRAM Strategy
A production-focused guide to distributed vLLM deployment with Ray, Kubernetes orchestration, tensor and pipeline parallelism, VRAM planning, and operations practices.
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Kubeflow Installation, Deployment, and Usage
Deployment notes for Kubeflow on Kubernetes, including storage preparation, Notebook, Pipeline, AutoML, multi-tenancy, and model serving workflows.
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vLLM Tool Research
A study of vLLM's core architecture, scheduling mechanism, PagedAttention, and basic CPU-environment installation and usage.
Kubeflow
LLM
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Local LLM Deployment and Inference Optimization: From Ollama to vLLM
An overview of local LLM inference bottlenecks, quantization formats, Ollama's role and limits, and vLLM optimizations such as PagedAttention and continuous batching.
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Production Deployment for Local LLMs: vLLM, Ray, Kubernetes, and VRAM Strategy
A production-focused guide to distributed vLLM deployment with Ray, Kubernetes orchestration, tensor and pipeline parallelism, VRAM planning, and operations practices.
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vLLM Tool Research
A study of vLLM's core architecture, scheduling mechanism, PagedAttention, and basic CPU-environment installation and usage.
Notes
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AIOps Agent Architecture Design
A structured overview of an AIOps Agent, covering requirements, system architecture, streaming output, context management, automated remediation, and observability.
-
LangGraph and MCP Orchestration for an AIOps Agent
A deep dive into API design, configuration, LangGraph state machines, federated multi-cluster Agents, scheduling, and MCP tool decoupling.
-
Deploying and Evaluating an AIOps Agent
Deployment notes, usage flow, feature validation, MTTR, root-cause accuracy, evidence completeness, and small-model testing for an AIOps Agent.
-
Local LLM Deployment and Inference Optimization: From Ollama to vLLM
An overview of local LLM inference bottlenecks, quantization formats, Ollama's role and limits, and vLLM optimizations such as PagedAttention and continuous batching.
-
Production Deployment for Local LLMs: vLLM, Ray, Kubernetes, and VRAM Strategy
A production-focused guide to distributed vLLM deployment with Ray, Kubernetes orchestration, tensor and pipeline parallelism, VRAM planning, and operations practices.
-
Kubeflow Installation, Deployment, and Usage
Deployment notes for Kubeflow on Kubernetes, including storage preparation, Notebook, Pipeline, AutoML, multi-tenancy, and model serving workflows.
-
Observability Platform Research and Practice
A cloud-native observability platform study covering metrics, logs, tracing, Langfuse, InfluxDB optimization, and alerting APIs.
-
vLLM Tool Research
A study of vLLM's core architecture, scheduling mechanism, PagedAttention, and basic CPU-environment installation and usage.
-
This Blog Is Getting Serious
A short starting note explaining why this site is becoming a more real personal homepage and content outlet.
Observability
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AIOps Agent Architecture Design
A structured overview of an AIOps Agent, covering requirements, system architecture, streaming output, context management, automated remediation, and observability.
-
LangGraph and MCP Orchestration for an AIOps Agent
A deep dive into API design, configuration, LangGraph state machines, federated multi-cluster Agents, scheduling, and MCP tool decoupling.
-
Deploying and Evaluating an AIOps Agent
Deployment notes, usage flow, feature validation, MTTR, root-cause accuracy, evidence completeness, and small-model testing for an AIOps Agent.
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Observability Platform Research and Practice
A cloud-native observability platform study covering metrics, logs, tracing, Langfuse, InfluxDB optimization, and alerting APIs.
PPT
Ray
Skill
Vibe Coding
vLLM
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Local LLM Deployment and Inference Optimization: From Ollama to vLLM
An overview of local LLM inference bottlenecks, quantization formats, Ollama's role and limits, and vLLM optimizations such as PagedAttention and continuous batching.
-
Production Deployment for Local LLMs: vLLM, Ray, Kubernetes, and VRAM Strategy
A production-focused guide to distributed vLLM deployment with Ray, Kubernetes orchestration, tensor and pipeline parallelism, VRAM planning, and operations practices.