Category: data center

Switching of the power

Posted on by lechuck park

This diagram illustrates two main power switching methods used in electrical systems: ATS (Automatic Transfer Switch) and STS (Static Transfer Switch).

System Configuration

  • Power Sources: Utility grid and Generator
  • Protection: UPS systems
  • Load: Server infrastructure

ATS (Automatic Transfer Switch)

Location: Switchgear Area (Power Distribution Board)

Characteristics:

  • Mechanism: Mechanical breakers/contacts
  • Transfer Time: Several seconds (including generator start-up)
  • Advantages: Relatively simple, lower cost
  • Application: Standard power transfer systems

STS (Static Transfer Switch)

Location: Panelboard Area (Distribution Panel)

Characteristics:

  • Mechanism: Semiconductor devices (SCR, IGBT)
  • Transfer Time: A few milliseconds (near seamless)
  • Advantages: Ensures high-quality power supply
  • Disadvantages: Expensive

Key Differences

  1. Transfer Speed: STS is significantly faster (milliseconds vs seconds)
  2. Technology: ATS uses mechanical switching, STS uses electronic switching
  3. Cost: ATS is more economical
  4. Power Quality: STS provides more stable power delivery
  5. Complexity: STS requires more sophisticated semiconductor control

Applications

  • ATS: Suitable for applications that can tolerate brief power interruptions
  • STS: Critical for sensitive equipment like servers, data centers, and medical facilities requiring uninterrupted power

Summary: This diagram shows a redundant power system where ATS provides cost-effective backup power switching while STS offers near-instantaneous transfer for critical loads. Both systems work together with UPS backup to ensure continuous power supply to servers and sensitive equipment.

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Emergency Power System

Posted on by lechuck park

This image shows a diagram of an Emergency Power System and the characteristics of each component.

Overall System Structure

At the top, the power grid is connected to servers/data centers, and three backup power options are presented in case of power supply interruption.

Three Backup Power Options

1. Generator

  • Long-term operation: Unlimited operation as long as fuel is available
  • Operation method: Engine rotation → Power generation
  • Type: Diesel engine generator
  • Disadvantages:
    • Start-up delay during instantaneous power outages
    • Start-up delay, noise, exhaust emissions
    • Periodic testing required
    • Requires integration with ATS (Automatic Transfer Switch)

2. Dynamic UPS

  • Features:
    • Uninterrupted/Long-term operation (until diesel engine starts)
    • Flywheel kinetic energy storage
    • Combined generator and diesel engine
  • Advantages: Seamless power supply without STS (Static Transfer Switch)
  • Disadvantages: High initial cost, large footprint, noise

DR (Diesel Rotary) UPS: A special form of Dynamic UPS that provides uninterrupted power through flywheel energy storage technology.

3. Static UPS

  • Operation time: Instantaneous/Short-term (typically 5-15 minutes)
  • Power quality: Clean power supply
  • Configuration: Battery(DC) → Inverter(AC) → Rectifier
  • Features:
    • Millisecond-level instant transfer
    • Battery life 3-5 years, replacement costs, heat generation issues

Key Characteristics Summary

Generators can operate long-term with fuel supply but have start-up delays, while Static UPS provides immediate power but only for short durations. Dynamic UPS (including DR UPS) is a hybrid solution that provides uninterrupted power through flywheel technology while enabling long-term operation when combined with diesel engines. In actual operations, it’s common to use these systems in combination, considering the advantages and disadvantages of each system.

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Multi-DCs Operation with a LLM (2)

Posted on by lechuck park

This diagram illustrates a Multi-Data Center Operation with LLM architecture system configuration.

Overall Architecture Components

Left Side – Event Sources:

  • Various systems supporting different event protocols (Log, Syslog, Trap, etc.) generating events

Middle – 3-Stage Processing Pipeline:

  1. Collector – Light Blue
    • Composed of Local Integrator and Integration Deliver
    • Collects and performs initial processing of all event messages
  2. Integrator – Dark Blue
    • Stores/manages event messages in databases and log files
    • Handles data integration and normalization
  3. Analyst – Purple
    • Utilizes LLM and AI for event analysis
    • Generates event/periodic or immediate analysis messages

Core Efficiency of LLM Operations Integration (Bottom 4 Features)

  • Already Installed: Leverages pre-analyzed logical results from existing alert/event systems, enabling immediate deployment without additional infrastructure
  • Highly Reliable: Alert messages are highly deterministic data that significantly reduce LLM error possibilities and ensure stable analysis results
  • Easy Integration: Uses pre-structured alert messages, allowing simple integration with various systems without complex data preprocessing
  • Nice LLM: Operates reliably based on verified alert data and provides an optimal strategy for rapidly applying advanced LLM technology

Summary

This architecture enables rapid deployment of advanced LLM technology by leveraging existing alert infrastructure as high-quality, deterministic input data. The approach minimizes AI-related risks while maximizing operational intelligence, offering immediate deployment with proven reliability.

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Power Circuit Breaker

Posted on by lechuck park

This image presents a Power Circuit Breaker classification diagram showing the types and characteristics of electrical circuit breakers used in power systems.

System Overview

Power Flow: The diagram illustrates the electrical power path from power plant → transmission lines → circuit breakers → distribution panels.

Circuit Breaker Classification

The breakers are categorized by voltage levels and arc extinguishing methods:

Voltage Classifications

  • Very High Voltage: 66~800kV
  • High Voltage: 3.3~38kV
  • Using Voltage: 380~690V, 110~600V, 110~440V

Breaker Types and Arc Extinguishing Methods

  1. GIS/GCB (Gas Insulated Switchgear/Gas Circuit Breaker)
    • 66~800kV
    • Uses SF6 gas with high vacuum technology
  2. VCB (Vacuum Circuit Breaker)
    • 3.3~38kV
    • Vacuum arc extinguishing method
  3. ACB (Air Circuit Breaker)
    • 380~690V
    • Air + arc chute method
  4. MCCB (Molded Case Circuit Breaker)
    • 110~600V
    • Air + arc chute method
  5. ELCB (Earth Leakage Circuit Breaker)
    • 110~440V
    • Ground fault protection, no arc extinguishing

Key Safety Message

The diagram emphasizes “The bigger (Arc) the more dangerous” – highlighting that higher voltages require more sophisticated and safer arc extinguishing technologies.

Summary: This technical diagram systematically categorizes power circuit breakers from ultra-high voltage (800kV) to low voltage (110V) applications, demonstrating how arc extinguishing complexity increases with voltage levels. The chart serves as an educational reference showing that higher voltage systems require more advanced safety mechanisms like SF6 gas insulation, while lower voltage applications can use simpler air-based arc interruption methods.

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Multi-DCs Operation with a LLM (1)

Posted on by lechuck park

This diagram illustrates a Multi-Data Center Operations Architecture leveraging LLM (Large Language Model) with Event Messages.

Key Components

1. Data Collection Layer (Left Side)

  • Collects data from various sources through multiple event protocols (Log, Syslog, Trap, etc.)
  • Gathers event data from diverse servers and network equipment

2. Event Message Processing (Center)

  • Collector: Comprises Local Integrator and Integration Deliver to process event messages
  • Integrator: Manages and consolidates event messages in a multi-database environment
  • Analyst: Utilizes AI/LLM to analyze collected event messages

3. Multi-Location Support

  • Other Location #1 and #2 maintain identical structures for event data collection and processing
  • All location data is consolidated for centralized analysis

4. AI-Powered Analysis (Right Side)

  • LLM: Intelligently analyzes all collected event messages
  • Event/Periodic or Prompted Analysis Messages: Generates automated alerts and reports based on analysis results

System Characteristics

This architecture represents a modern IT operations management solution that monitors and manages multi-data center environments using event messages. The system leverages LLM technology to intelligently analyze large volumes of log and event data, providing operational insights for enhanced data center management.

The key advantage is the unified approach to handling diverse event streams across multiple locations while utilizing AI capabilities for intelligent pattern recognition and automated response generation.

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Data Center ?

Posted on by lechuck park

This infographic compares the evolution from servers to data centers, showing the progression of IT infrastructure complexity and operational requirements.

Left – Server

  • Shows individual hardware components: CPU, motherboard, power supply, cooling fans
  • Labeled “No Human Operation,” indicating basic automated functionality

Center – Modular DC

  • Represented by red cubes showing modular architecture
  • Emphasizes “More Bigger” scale and “modular” design
  • Represents an intermediate stage between single servers and full data centers

Right – Data Center

  • Displays multiple server racks and various infrastructure components (networking, power, cooling systems)
  • Marked as “Human & System Operation,” suggesting more complex management requirements

Additional Perspective on Automation Evolution:

While the image shows data centers requiring human intervention, the actual industry trend points toward increasing automation:

  1. Advanced Automation: Large-scale data centers increasingly use AI-driven management systems, automated cooling controls, and predictive maintenance to minimize human intervention.
  2. Lights-Out Operations Goal: Hyperscale data centers from companies like Google, Amazon, and Microsoft ultimately aim for complete automated operations with minimal human presence.
  3. Paradoxical Development: As scale increases, complexity initially requires more human involvement, but advanced automation eventually enables a return toward unmanned operations.

Summary: This diagram illustrates the current transition from simple automated servers to complex data centers requiring human oversight, but the ultimate industry goal is achieving fully automated “lights-out” data center operations. The evolution shows increasing complexity followed by sophisticated automation that eventually reduces the need for human intervention.

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Data Center Operantions

Posted on by lechuck park

Data center operations are shifting from experience-driven practices toward data-driven and AI-optimized systems.
However, a fundamental challenge persists: the lack of digital credibility.

  • Insufficient data quality: Incomplete monitoring data and unreliable hardware reduce trust.
  • Limited digital expertise of integrators: Many providers focus on traditional design/operations, lacking strong datafication and automation capabilities.
  • Absence of verification frameworks: No standardized process to validate or certify collected data and analytical outputs.

These gaps are amplified by the growing scale and complexity of data centers and the expansion of GPU adoption, making them urgent issues that must be addressed for the next phase of digital operations.