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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 System Time Skew
Last updated: 2024-09-26 15:47:38
Background
In a real production environment, various uncertain factors (such as machine power failure, and network delay) may result in inconsistent system time on the nodes in a distributed system. If the nodes have inconsistent time, events generated by the system will be disordered, which may have catastrophic consequences on the system. For this reason, the platform provides a fault action for simulating a real CVM system time skew. Users can verify the resilience of the system in the event of a system time skew.
Experiment Implementation
Step 1: Experiment Preparation
Prepare several CVM instance objects for the experiment.
Step 2: Experiment Orchestration
1. Log in to the Tencent Smart Advisor > Chaotic Fault Generator, go to the Experiment Management page, and click Create a New Experiment.
2. Click Skip and create a blank experiment, fill in the experiment information, and select a CVM instance for an experiment objective.
3. Click Add Now to add an experiment action, select Shell Script, click CVM time skew, and click Next.
4. Configure action parameters for fault actions, and click Confirm.
5. After action parameter configuration, click Next. After confirming all configurations, click Submit to complete experiment creation.
Step 3: Experiment Execution
1. Check CVM system time before the experiment.
2. Go to Experiment Details, select actions to be executed, and click Execute to start the experiment.
3. Click the Action Card to check details of an action.
4. Check of CVM instance system time, which has skewed.
5. Manually execute recovery actions. You can see that time has returned to normal.
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