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FFEA505 Configure scalable and resilient infrastructure using containerization
Feature ID FEA505
Subsystem the feature is part of Operations
Responsible person Emils Bagirovs
Status Approved

Description

This feature focuses on optimizing the deployment and management of application components by "packing" them into lightweight, portable containers. By adopting containerization, the project intends to enhance scalability, flexibility, and reliability across its infrastructure.

Restrictions:

  1. Resource Limitations: CPU, memory, and storage capacity, which may limit the scalability of containerized workloads.

  2. Compatibility: Compatibility issues may arise when integrating existing applications with containerization technology, requiring thorough testing and potential refactoring.

  3. Security Concerns: Security vulnerabilities within containerized environments pose a risk to the overall infrastructure security, requiring stringent security measures.

Requirements:

  1. Container Orchestration Platform: Implementation of a container orchestration platform such as Kubernetes to manage containerized workloads efficiently.

  2. Auto-scaling Mechanism:

  3. Monitoring and Logging Tools:

  4. Backup and Recovery Mechanisms: Establishment of backup and recovery mechanisms to protect against data loss and facilitate rapid recovery in case of failures or disasters.

Use Cases:

  1. Elastic Scaling: Automatically scaling up containerized web applications during peak traffic hours to handle increased user demand efficiently.

  2. Disaster Recovery: Rapidly restoring containerized services in an alternative location or cloud region in the event of a data center outage or disaster.

Preliminary user stories

Preliminary user stories

  • US027 As a platform engineer, I want to set up a scalable and resilient infrastructure using containerization, such as Docker, to ensure easy deployment and management of the web app.#27

User interface mock-up

No UI for containerization yet.

Testing / possible acceptance criteria

  1. Integration Testing: - Objective: Validate the integration of containerization technology with existing infrastructure components. - Acceptance Criteria: All integrated systems communicate effectively, and containerized applications interact seamlessly with external dependencies.

  2. Scalability Testing: - Objective: Assess the ability of the infrastructure to scale containerized workloads dynamically. - Acceptance Criteria: The infrastructure scales up and down automatically based on predefined metrics such as CPU utilization or request rate, and maintains stable performance under varying loads.

  3. High Availability Testing: - Objective: Ensure that containerized services remain available and accessible even in the event of failures. - Acceptance Criteria: Failover mechanisms are triggered upon detecting failures, and services are automatically redirected to healthy instances without noticeable downtime.

  4. Performance Testing: - Objective: Measure the performance of containerized applications under different load conditions. - Acceptance Criteria: Containerized applications meet defined performance benchmarks such as response time, throughput, and resource utilization within acceptable thresholds.

  5. Fault Tolerance Testing: - Objective: Validate the resilience of the infrastructure against various failure scenarios. - Acceptance Criteria: The infrastructure recovers automatically from failures, and data integrity is maintained without loss or corruption.

  6. Security Testing: - Objective: Identify and mitigate security vulnerabilities within containerized environments. - Acceptance Criteria: Vulnerability scans detect and remediate security issues in container images, access controls prevent unauthorized access to sensitive resources, and encryption mechanisms protect data both at rest and in transit.

  7. Monitoring and Logging Testing: - Objective: Verify the effectiveness of monitoring and logging solutions in providing visibility into containerized environments. - Acceptance Criteria: Monitoring dashboards display real-time metrics and alerts for container health, performance, and security incidents, while logs capture relevant events for troubleshooting and audit purposes.

  8. Backup and Recovery Testing: - Objective: Validate the effectiveness of backup and recovery mechanisms in restoring containerized services. - Acceptance Criteria: Data backups are performed regularly, and recovery procedures are tested to verify data integrity and minimize downtime in case of disasters or data loss events.

  9. User Acceptance Testing (UAT):

    • Objective: Validate the overall usability and functionality of the containerized infrastructure from the end-user perspective.
    • Acceptance Criteria: End-users confirm that the containerized applications meet their requirements, perform as expected, and provide a satisfactory user experience.