Cloud & DevOps Services For Reliable, Scalable Infrastructure

AWS Capabilities

• Cloud infrastructure setup: Plan and configure cloud resources around application and operational requirements.
• Application deployment: Establish deployment workflows suited to the application architecture.
• Cloud migration: Assess existing workloads and plan appropriate migration approaches.
• Infrastructure automation: Use infrastructure as code where suitable to make environments more consistent and repeatable.
• Monitoring and observability: Evaluate monitoring, logging, and alerting needs to improve operational visibility.
• Cloud cost visibility: Review resource usage and configuration to identify areas for further evaluation and optimisation.
• Access and security controls: Consider identity permissions, network configuration, encryption options, and other relevant safeguards.

Azure DevOps Capabilities

• CI/CD pipeline configuration: Establish continuous integration and deployment pipelines appropriate to the application and release process.
• Source code management: Organise repositories, branching practices, and collaboration workflows.
• Build and release automation: Automate suitable steps involved in building, testing, and deploying applications.
• Testing workflow integration: Incorporate appropriate automated checks into delivery pipelines.
• Infrastructure deployment: Connect deployment workflows with infrastructure automation where suitable.
• Environment management: Structure development, testing, staging, and production environments according to release requirements.
• Delivery visibility: Use pipeline results, work tracking, and relevant reporting to help teams understand delivery status.

GCP Capabilities

• Cloud environment setup: Plan infrastructure around application architecture and workload requirements.
• Application hosting and deployment: Evaluate suitable Google Cloud services for application deployment.
• Cloud migration planning: Assess existing environments and identify appropriate migration options.
• Infrastructure as code: Automate supported infrastructure configuration to improve consistency.
• Monitoring and logging: Establish relevant visibility into application and infrastructure behaviour.
• Cost and resource management: Review usage patterns and resource allocation to support informed decisions.
• Security configuration: Assess identity and access controls, network boundaries, and other applicable safeguards.