?? Project Overview:
This project focuses on developing a high-availability IT infrastructure using the Scrum framework. It emphasizes team coordination, robust tech stack selection, detailed budgeting, risk management, and the creation of real-time data pipelines for efficient system operations and monitoring.
?? Project Team Structure:
?? Scrum Master: Dimitris Souris Responsible for overseeing Scrum ceremonies, tracking team progress, and removing blockers. Ensures coordination between development and stakeholder goals.
- System Engineers (2 members) – Configuring and setting up servers and network infrastructure.
- Cloud Architects (2 members) – Developing and deploying cloud infrastructure using AWS/Azure.
- DevOps Engineers (3 members) – Building automated deployment and monitoring pipelines (CI/CD).
- Data Engineers (2 members) – Designing and developing real-time data pipelines for secure and reliable data streaming.
- Network Security Experts (2 members) – Implementing and monitoring security protocols, firewalls, and VPNs.
?? Product Owner: Manages the product backlog, ensures alignment with business objectives, and ensures deliverables are prioritized according to business needs.
?? Stakeholders: IT Managers, Business Units, and CIO.
?? Scrum Framework and Phases:
?? Sprint Planning: Each sprint focuses on different components of the infrastructure (cloud setup, security protocols, data pipelines, and automation). Tasks are prioritized, estimated, and divided into stories for efficient tracking.
- Sprint 1 (2 weeks): Cloud Infrastructure Setup: Set up AWS/Azure for high-availability and scalability.
- Sprint 2 (2 weeks): Security Setup: Implement firewalls, VPNs, and authentication protocols.
- Sprint 3 (2 weeks): CI/CD Pipeline Development: Automate deployment processes with Jenkins/GitLab CI.
- Sprint 4 (2 weeks): Data Pipeline Development: Design and deploy real-time data pipelines using Kafka and Apache Airflow.
- Sprint 5 (2 weeks): Backup and Disaster Recovery: Implement backup systems and create redundancy for business continuity.
?? Tracking Progress as Scrum Master:
?? Daily Stand-ups: Daily 15-minute sync meetings to identify blockers, assess progress, and plan for the day.
?? Sprint Burndown Charts: Track sprint progress with burndown charts in Jira, ensuring visibility into work completed and tasks remaining.
?? Velocity Monitoring: Track story points completed per sprint to measure team efficiency and predict future sprint capacity.
?? Pipeline Monitoring: Use Prometheus and Grafana to track the health of CI/CD pipelines and real-time data streams, monitoring failure rates, latency, and throughput.
- Sprint Velocity: Measure the number of completed story points per sprint.
- Pipeline Health: Real-time tracking of data latency, error rates, and throughput.
- System Uptime: Track uptime to ensure high availability.
- Security Metrics: Monitor the number of successful/unsuccessful intrusion attempts and vulnerability patches.
- Cost Tracking (Budget Variance): Track expenses against budget using Jira/Confluence, monitoring the variance from the allocated budget.
?? Development Phases and Deliverables:
- Deploy AWS/Azure cloud infrastructure for high availability.
- Use Kubernetes for container orchestration and Docker for containerized applications.
- Implement firewalls (Fortinet/Palo Alto) and VPN for secure network access.
- Implement multi-factor authentication.
- Jenkins and GitLab CI for automating system deployments and ensuring seamless, continuous integration.
- Monitor deployments with Prometheus and Grafana for health and performance.
- Set up Kafka for real-time data streaming.
- Use Apache Airflow for orchestrating automated workflows and managing data pipelines.
- Integrate pipelines with business intelligence platforms like Tableau for reporting and analytics.
?? Backup and Disaster Recovery:
- Automate backups to AWS S3 and implement failover systems.
- Test disaster recovery with regular failover drills to ensure the infrastructure can recover swiftly from an outage.
?? Testing and Quality Assurance:
- Test each system component (cloud, network, pipelines) to ensure correct functionality.
- Verify pipeline reliability by simulating data flow through Kafka and Airflow.
- Stress-test the cloud infrastructure to ensure it handles expected load.
- Measure data pipeline latency and throughput to ensure low-latency data processing.
- Conduct penetration testing to detect vulnerabilities in network security.
- Perform regular vulnerability assessments.
?? Disaster Recovery Testing:
- Simulate failover scenarios to test redundancy and backup recovery speeds.
?? User Acceptance Testing (UAT):
- Involve stakeholders to validate that the infrastructure and data pipelines meet business requirements and deliverables.
?? Monitoring Data Pipelines:
- Prometheus collects real-time metrics from Kafka and Airflow, monitoring key aspects like throughput, latency, error rates, and processing times.
- Use Grafana to visualize pipeline performance, track metrics, and set up alerts for any pipeline failures or delays.
?? Apache Airflow Monitoring:
- Monitor DAGs (Directed Acyclic Graphs) and tasks in real-time using Airflow’s UI.
- Set alerts to notify engineers if a task fails or runs beyond its expected duration, ensuring minimal disruption to data pipelines.
?? Timeline & Baseline:
Project Timeline (Total Duration: 12 weeks, including buffer):
- Planning Phase (1 week): Gather requirements, create the backlog, and ensure stakeholder alignment.
- Development Phase (10 weeks total):
- Sprint 1: Cloud infrastructure setup (Week 2-3).
- Sprint 2: Network security setup (Week 4-5).
- Sprint 3: CI/CD pipeline deployment (Week 6-7).
- Sprint 4: Data pipeline setup (Week 8-9).
- Sprint 5: Backup and disaster recovery implementation (Week 10-11).
- Testing and Final Review (Week 12): Perform extensive testing, stakeholder reviews, and final sign-off.
Baseline:
- Deliver a fully operational, scalable, and secure IT infrastructure within 12 weeks.
- Key deliverables include cloud setup, network security, automated deployment, and fully operational data pipelines.
?? Budget in Euros:
- Total Estimated Budget: €650,000 (with a 15% buffer for unforeseen expenses).
- Cloud Services (AWS/Azure): €220,000
- Server Setup & Hardware: €150,000
- Security Systems (VPN, Firewalls): €120,000
- Automation & Monitoring Tools (CI/CD): €80,000
- Data Pipelines (Kafka, Airflow): €50,000
- Buffer: €30,000 (reserved for technical or budgetary challenges)
?? Risk Management:
- Cloud Migration Delays: Possible delays during cloud setup or data migration due to unforeseen technical challenges.
- Security Vulnerabilities: Unforeseen gaps in network or pipeline security could lead to breaches.
- Pipeline Failures: Failures in Kafka or Airflow pipelines could result in data loss or delays.
- Budget Overruns: Unforeseen expenses such as licensing costs or hardware replacements could push costs over the allocated budget.
?? Mitigation Strategies:
- Buffer Time: Allocate a 1-week buffer in the timeline to absorb potential delays, ensuring the overall schedule is not affected.
- Continuous Security Audits: Perform security audits and vulnerability scans during every sprint, addressing issues before they escalate.
- Regular Pipeline Testing: Test pipelines after each sprint to detect any performance bottlenecks or failures early.
- Budget Buffer:
- Maintain a 15% budget buffer to cover unexpected costs, ensuring budget control without cutting essential project tasks.
Here is the detailed Architecture Diagram based on the structure:
Here is the Data Flow Diagram (DFD) :
This project plan ensures a well-managed IT infrastructure development process using the Scrum framework, with detailed team coordination, budget tracking, risk management, pipeline monitoring, and testing. It covers everything from cloud infrastructure and data pipeline development to continuous monitoring and risk mitigation, ensuring that the project is delivered on time and within budget under the leadership of Scrum Master Dimitris Souris.
