- 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
- 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
Background
Pods are the smallest deployable units in a Kubernetes cluster that run applications. In practical use cases, Pods may encounter issues such as container crashes, resource shortages, Pod termination, and Pod downtime, which can prevent applications from running properly.
To enhance the reliability and stability of container services, it is necessary to conduct Serverless Pod fault experiments. These experiments help verify whether the service can continue to provide service normally in the event of a Pod fault, and they allow for early identification of potential issues in such fault scenarios, ultimately improving business stability.
Experiment Execution
Step 1: Experiment Preparation
Purchase container instances and deploy test services. If there is already a container instance available for the experiment, proceed directly to create the experiment.
Enter Agent Management page and install the agents.
Step 2: Create an Experiment
1. Log in Tencent Smart Advisor > Chaotic Fault Generator, go to Experiment Management page, and click Create a New Experiment.
2. Click Skip and create a blank experiment
3. Fill in basic information of the experiment.
4. Select Container as the resource type, select Serverless Cluster Pod as the resource object, and then Add Instance.
5. Click Add Now to add fault action. Select Pod Operation.
6. Select the fault action Pod Failure, then click Next.
7. Set action parameters and click Confirm.
8. After action parameter configuration, click Next. Configure Guardrail Policy and Monitoring Metrics considering actual situations, click Submit to complete experiment creation.
Step 3: Execute the Experiment
1. Go to experiment details, and click Go to the action group for execution.
2. Click Execute to start an experiment.
3. View the action execution results.
4. Click the action card and view the execution logs to confirm it has been executed successfully.
Yes
No
Was this page helpful?