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- Product Overview
- Purchase Guide
- Quick Start
- Operation Guide
- Fault Action Library
- Compute
- JVM Process CPU at Full Load
- Cross-AZ Experiment in CVM
- CVM DNS Unavailability Experiment
- CVM Domain Name Parsing Tampering Experiment
- CVM System Time Skew
- CVM Disk IO Hang Fault Experiment
- CVM Memory OOM and Disk IO Load
- Experiments on CVM Intra-host Network Disorder
- CVM Kernel Faults
- Experiments on CVM Intra-host Network Latency
- High Utilization of CVM Resources (CPU, Memory, and Disk)
- Experiments on CVM Intra-host Network Corruption
- Experiments on CVM Intra-host Network Duplication
- Experiments on CVM Intra-host Network Occupation
- CVM Network Interruption
- CVM Ping Unreachable
- Cloud API Ban in CVM
- Database
- Primary-secondary Switch in TencentDB for PostgreSQL
- MySQL Instance Overall Unavailable
- Primary-secondary Switch in MySQL
- Setting Maximum Number of Connections in MySQL
- Primary Node Fault Experiment on TencentDB for MySQL
- TencentDB for MySQL Read-only Instance Group Unavailable
- Primary-secondary Switch in TDSQL for MySQM
- Primary-secondary Switch in MariaDB
- Primary-secondary Switch in TDSQL-C
- Practice of TencentDB for Redis Proxy Node Faults
- TencentDB for Redis Primary Node Fault
- Primary-secondary Nodes in TencentDB for Redis Instance Unavailable
- Simulating Primary-secondary Switch in Redis
- Simulating MongoDB Storage Node Fault
- Simulating Self-Built MySQL Crash Through Network Blocking
- Restarting TencentDB for MySQL
- Primary-secondary Switch in SQL Server
- Network
- Container
- Simulating Container Resource Network Faults
- Experiment on Container Resource Pod Operation Faults
- Experiment on Container Resource Node Faults
- Experiment on Container Resource Application Process Faults
- Standard Cluster and Serverless Cluster Super Node Faults
- Serverless Pod Fault Experiment Case
- Cluster Node Resource (CPU, Memory, Disk) Stress Test Faults
- Serverless Pod Virtual Node Shutdown Faults
- Simulating Serverless Cluster Pod Network Faults
- High Cluster Pod Resource (CPU, Memory, and Disk) Utilization Rate
- Cluster Pod TencentCloud API Ban
- Big Data
- Cloud Load Balancer
- Message Queue
- Direct Connect
- Custom Actions
- Cloud Streaming Services (CSS)
- Compute
- Permission Management Guide
- API Documentation
- FAQs
- Related Protocol
- Contact Us
CVM Kernel Faults
Last updated: 2024-09-26 15:47:38
Background
CVM kernel faults may result in business failure and impact the stability of the whole system. Hardware faults, kernel software defects, drivers, incompatibility, and other issues may cause kernel faults and CVM failure. For services that rely on high availability, this will cause great inconvenience and loss to users.
To improve business reliability and stability, kernel fault action experiments are required. Through the experiment, the impact of a kernel fault on business can be verified and issues caused by the fault can be revealed in advance so that the faults can be solved quickly and effectively. In solving a kernel fault, please assign personnel with sufficient system knowledge and experience to complete the operation to avoid further damage to the system.
Experiment Implementation
Step 2: Experiment Preparation
Prepare several CVM instances in which TAT (TAT) have been installed.
Step 2: Experiment Orchestration
1. Go to Tencent Smart Advisor > Chaotic Fault Generator > Experiment Management, and click Create a New Experiment.
2. Click Skip and create a blank experiment. Fill in the basic information of the experiment and action groups, and add a target CVM instance.
3. Add an experiment action, select Kernel Fault action in CPU Resources, click Next, and go to parameter configuration.
4. Configure fault action parameters. There is no required parameter for the action. You can click Confirm to complete adding.
5. Confirm the configuration, and click Submit experiment to complete the creation.
Step 3: Experiment Execution
1. Go to experiment details, and click Go to the action group for execution.
2. Click Execute to start fault task assignment.
3. Check fault results: The existing connection is interrupted and the instance is restarted.
4. Execute recovery actions.
Note:
Different operating systems have different policies for coping with kernel faults. Automatic restart of the computer is a common method. If there is no response from the operating system, you can manually execute recovery actions on the platform to force a restart.
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