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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
Experiments on CVM Intra-host Network Disorder
Last updated: 2024-09-26 15:47:38
Background
To simulate a scene in a production environment where the host receives out-of-order network packets, the network is unstable and requests are disordered. The platform provides a fault action for injecting intra-host network duplication into a CVM. Users can simulate a network disorder scene in a CVM host with this fault.
Experiment Implementation
Step 1: Experiment Preparation
Prepare several CVM instance objects for the experiment.
Step 2: Experiment Orchestration
1. Check network status before fault injection. Send icmp messages to another machine through ping commands. Make sure that the sequence of messages is normal.
2. Log in to the Tencent Smart Advisor > Chaotic Fault Generator, go to the Experiment Management page, and click Create a New Experiment.
3. Click Skip and create a blank experiment, fill in the experiment information, and select a CVM instance for an experiment objective.
4. Click Add Now to add an experiment action, select Network Resources, click Intra-host network disorder, and click Next.
5. Configure fault action parameters, and click Confirm.
6. After configuring action parameters, click Next. After confirming all configurations, click Submit to complete experiment creation.
Step 3: Experiment Execution
1. Go to Experiment Details. In the Experiment Action Group, click Execute to start an experiment and start a fault action.
2. Click the Action Card, and check details of action execution.
3. Check the network status of the host after fault injection. It can be seen that icmp return network packets are out of order.
4. Execute a recovery action, and check details of recovery.
5. Check results of recovery. Through comparison, we can see that the fault has been cleared and the network order has been recovered.
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