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Checklist · Cloud Infrastructure

Cloud Infrastructure MVP checklist — Step by Step 2026

Launching a Cloud Infrastructure MVP requires careful planning. This checklist focuses on key areas like Core infrastructure setup, Integrations, Analytics, Automation, and Compliance, helping you address common pain points like Integration, Scale, Adoption, Cost, and Support.

50 checklist items 7 min read
Reviewed by Roman Trotsko & Denis TrotskoLast reviewed March 2026

Phase 01

Phase 1: Core Infrastructure Setup

10 tasks
  • 1.1
    critical1 week

    Select Core Compute Platform

    Choose between AWS EC2, Google Compute Engine, or Azure Virtual Machines based on cost, performance, and existing integrations.

  • 1.2
    critical1 week

    Configure Network Infrastructure

    Set up VPCs, subnets, and security groups to isolate and protect your cloud resources, using tools like Terraform or CloudFormation.

  • 1.3
    high3 days

    Establish Storage Solutions

    Choose between object storage (AWS S3, Google Cloud Storage, Azure Blob Storage) and block storage based on data access patterns and performance needs.

  • 1.4
    critical5 days

    Implement Identity and Access Management (IAM)

    Configure IAM roles and policies to control access to cloud resources, ensuring least privilege access and security compliance.

  • 1.5
    high4 days

    Set up Monitoring and Logging

    Integrate monitoring tools like Prometheus and Grafana with cloud services to track performance metrics and log events for troubleshooting.

  • 1.6
    critical5 days

    Implement Basic Security Measures

    Configure firewalls, intrusion detection systems, and vulnerability scanning to protect against common security threats.

  • 1.7
    medium1 week

    Automate Infrastructure Provisioning

    Use Infrastructure as Code (IaC) tools like Terraform or Ansible to automate the creation and management of cloud resources.

  • 1.8
    medium1 week

    Establish a CI/CD Pipeline

    Set up a CI/CD pipeline using tools like Jenkins or GitLab CI to automate the build, test, and deployment of applications.

  • 1.9
    high3 days

    Configure a Basic Database

    Choose a managed database service like AWS RDS, Google Cloud SQL, or Azure SQL Database based on application requirements.

  • 1.10
    medium2 days

    Implement Cost Management Tools

    Use cloud cost management tools like AWS Cost Explorer, Google Cloud Billing, or Azure Cost Management to track and optimize cloud spending.

Phase 02

Phase 2: Integrations

10 tasks
  • 2.1
    high4 days

    Integrate with Existing APIs

    Connect your cloud infrastructure with existing APIs using API gateways like Kong or Tyk to enable seamless data exchange.

  • 2.2
    medium3 days

    Implement Message Queuing

    Use message queuing services like RabbitMQ or Apache Kafka to enable asynchronous communication between services.

  • 2.3
    high4 days

    Integrate with Monitoring Tools

    Connect your cloud infrastructure with monitoring tools like Datadog or New Relic to gain insights into performance and availability.

  • 2.4
    high5 days

    Integrate with Security Tools

    Integrate with security tools like Snyk or Aqua Security to identify and address security vulnerabilities.

  • 2.5
    medium1 week

    Connect to Third-Party Services

    Integrate with third-party services like Stripe for payments or SendGrid for email to extend the functionality of your cloud infrastructure.

  • 2.6
    critical3 days

    Implement API Authentication

    Secure your APIs with authentication mechanisms like OAuth 2.0 or JWT to protect against unauthorized access.

  • 2.7
    medium2 days

    Implement Rate Limiting

    Protect your APIs from abuse by implementing rate limiting mechanisms to prevent excessive requests.

  • 2.8
    medium2 days

    Integrate with DNS Providers

    Connect your cloud infrastructure with DNS providers like Cloudflare or Route 53 to manage domain names and routing.

  • 2.9
    medium3 days

    Implement Caching Mechanisms

    Use caching mechanisms like Redis or Memcached to improve performance and reduce latency.

  • 2.10
    medium2 days

    Integrate with Version Control Systems

    Connect your cloud infrastructure with version control systems like Git to track changes and collaborate on code.

Phase 03

Phase 3: Analytics

10 tasks
  • 3.1
    high3 days

    Implement Data Collection

    Collect data from cloud infrastructure components using tools like Fluentd or Logstash.

  • 3.2
    medium5 days

    Set up Data Processing

    Process collected data using tools like Apache Spark or Apache Flink to transform it into usable formats.

  • 3.3
    high4 days

    Configure Data Storage

    Store processed data in data warehouses like Amazon Redshift or Google BigQuery for analysis.

  • 3.4
    medium3 days

    Implement Data Visualization

    Visualize data using tools like Tableau or Grafana to gain insights into performance and usage patterns.

  • 3.5
    high4 days

    Set up Real-time Monitoring

    Implement real-time monitoring of cloud infrastructure components using tools like Prometheus or Graphite.

  • 3.6
    medium1 week

    Implement Anomaly Detection

    Use machine learning algorithms to detect anomalies in cloud infrastructure performance and usage patterns.

  • 3.7
    low2 days

    Generate Performance Reports

    Create regular performance reports to track key metrics and identify areas for improvement.

  • 3.8
    medium3 days

    Implement Usage Tracking

    Track the usage of cloud infrastructure resources to optimize cost and resource allocation.

  • 3.9
    high2 days

    Set up Alerting

    Configure alerts to notify administrators when critical events occur in the cloud infrastructure.

  • 3.10
    critical5 days

    Implement Data Security Measures

    Protect sensitive data by implementing encryption, access control, and auditing mechanisms.

Phase 04

Phase 4: Automation

10 tasks
  • 4.1
    critical1 week

    Automate Infrastructure Provisioning

    Use tools like Terraform or Ansible to automate the provisioning of cloud resources.

  • 4.2
    high1 week

    Automate Application Deployment

    Use tools like Jenkins or GitLab CI to automate the deployment of applications to the cloud.

  • 4.3
    high4 days

    Automate Scaling

    Implement autoscaling policies to automatically scale cloud resources based on demand.

  • 4.4
    critical5 days

    Automate Backup and Recovery

    Set up automated backup and recovery processes to protect against data loss.

  • 4.5
    critical3 days

    Automate Security Patching

    Automate the patching of security vulnerabilities to protect against cyberattacks.

  • 4.6
    medium5 days

    Automate Log Analysis

    Use tools like Elasticsearch or Splunk to automate the analysis of log data.

  • 4.7
    high1 week

    Automate Incident Response

    Implement automated incident response procedures to quickly address security incidents.

  • 4.8
    medium4 days

    Automate Cost Optimization

    Use tools like CloudHealth or RightScale to automate the optimization of cloud costs.

  • 4.9
    medium3 days

    Automate Compliance Checks

    Automate compliance checks to ensure that cloud infrastructure meets regulatory requirements.

  • 4.10
    low2 days

    Implement ChatOps

    Use ChatOps tools like Slack or Microsoft Teams to automate tasks from chat interfaces.

Phase 05

Phase 5: Compliance

10 tasks
  • 5.1
    critical3 days

    Identify Compliance Requirements

    Determine the compliance requirements that apply to your cloud infrastructure (e.g., GDPR, HIPAA, PCI DSS).

  • 5.2
    critical1 week

    Implement Security Controls

    Implement security controls to meet compliance requirements (e.g., encryption, access control, auditing).

  • 5.3
    high5 days

    Conduct Risk Assessments

    Perform regular risk assessments to identify and address potential compliance risks.

  • 5.4
    high4 days

    Implement Data Loss Prevention (DLP)

    Implement DLP measures to prevent sensitive data from leaving the cloud environment.

  • 5.5
    medium3 days

    Implement Data Residency Controls

    Ensure that data is stored in the appropriate geographic location to comply with data residency requirements.

  • 5.6
    high5 days

    Implement Incident Response Plan

    Develop and implement an incident response plan to address security incidents and compliance breaches.

  • 5.7
    high1 week

    Conduct Regular Audits

    Perform regular audits to verify that cloud infrastructure meets compliance requirements.

  • 5.8
    medium3 days

    Maintain Documentation

    Maintain detailed documentation of all compliance-related policies, procedures, and controls.

  • 5.9
    medium2 days

    Train Employees

    Provide regular training to employees on compliance requirements and security best practices.

  • 5.10
    high3 days

    Monitor Compliance Status

    Continuously monitor compliance status using tools like AWS Config or Azure Policy.

Pro tips

  • Prioritize security from the start. Implement robust IAM policies and encryption to protect your data.
  • Automate as much as possible. Use Infrastructure as Code (IaC) tools like Terraform or CloudFormation to manage your infrastructure.
  • Monitor your costs closely. Cloud costs can quickly spiral out of control if you're not careful. Use cost management tools to track and optimize your spending.
  • Choose the right tools for the job. Don't try to use a hammer to drive a screw. Select the tools that are best suited for your specific needs.
  • Start small and scale up. Don't try to build everything at once. Focus on the core functionality first and then add features as needed.

Frequently asked questions

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