BLUECOAT-MIB
The BLUECOAT-MIB provides SNMP management capabilities for Blue Coat proxy appliances and content delivery networks, enabling the monitoring of traffic throughput, cache hit/miss ratios, session states, and hardware health metrics such as CPU and memory utilization.
Imported Objects
Objects
39 total| Object Name |
|---|
blueCoatThe MIB module for Blue Coat MODULE-IDENTITY .1.3.6.1.4.1.3417 |
products OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1 |
device OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1 |
sg1000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.1 |
sg100 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.2 |
sg500 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.3 |
sg2000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.4 |
sg5000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.5 |
sg500A OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.6 |
sg3000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.7 |
sg5x5 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.8 |
sg110 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.9 |
sg600 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.10 |
sg6000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.11 |
sg610 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.12 |
sg6x5 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.13 |
sg3000s OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.14 |
sg5000s OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.15 |
sg7x5 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.16 |
sg710 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.17 |
sg7000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.18 |
sg611 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.19 |
sg800 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.20 |
sg400 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.22 |
sg8000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.23 |
sg200 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.24 |
sg810 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.25 |
sg210 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.26 |
sg510 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.27 |
sg8100 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.1.28 |
director OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.2 |
sgme710 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.2.1 |
sgme800 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.2.2 |
av OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.3 |
av2000 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.3.1 |
av400 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.3.2 |
av810 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.3.3 |
av510 OBJECT IDENTIFIER .1.3.6.1.4.1.3417.1.3.4 |
blueCoatMgmt OBJECT IDENTIFIER .1.3.6.1.4.1.3417.2 |
More MIBs from CacheFlow
Browse all CacheFlowMIBs →The BLUECOAT-SG-PROXY-MIB enables SNMP-based monitoring and management of BlueCoat Secure Gateway (SG) proxy appliances, exposing critical performance metrics such as session throughput, cache hit ratios, bandwidth utilization, and system resource utilization. It facilitates the collection of operational statistics required for capacity planning, traffic analysis, and fault detection within the BlueCoat proxy infrastructure.
SNMP MIB module
The BLUECOAT-SG-AUTHENTICATION-MIB enables monitoring of authentication session states, user login success/failure rates, and associated statistical counters on BlueCoat SG proxy appliances. It facilitates granular tracking of authentication protocol interactions and user access events for security auditing and capacity planning.
The BLUECOAT-AV-MIB enables SNMP-based monitoring of antivirus status, scan engine health, and threat detection metrics on Blue Coat proxy appliances. It provides specific counters for virus signatures, quarantine statistics, and engine operational states to facilitate real-time security posture assessment.
The BLUECOAT-SG-ICAP-MIB enables monitoring and management of Internet Content Adaptation Protocol (ICAP) session states, transaction counters, and error statistics on Blue Coat ProxySG appliances integrated with external ICAP servers. This module provides visibility into content scanning, filtering, and repair operations for malicious code detection and bandwidth optimization.
The CACHEFLOW-MIB module provides SNMP-based monitoring and management for CacheFlow network acceleration appliances, specifically tracking cache hit rates, compression ratios, session throughput, and object storage statistics. It enables administrators to analyze web caching performance, bandwidth savings, and client request handling efficiency across the deployed acceleration infrastructure.