1. Create and manage the AWS environment

2. Set up delivery pipelines for infrastructure, platform, and applications. Address DevOps implementation gaps with our three-step platform-centric approach: Assess, Manage, and Accelerate.

• Assess -Review the current state of clusters and environments -Identify gaps and deviations from best practices using DevOps and Cloud Maturity Model -Automate cloud governance, cloud cost optimization, DevSecOps, containerization, etc. -Create an action plan for long-term success

• Manage -Measure all indicators to predict business outcomes -Analyze metrics and trends -Focus on DevOps shift left approach -Identify improvement opportunities.

• Accelerate -Collaborate seamlessly across teams -Enable end-to-end automation to achieve self-governance and automated compliance -Leverage solution accelerators for deployment, set-up, monitoring, and management

3. Set-up modern data platforms like Hadoop, Snowflake, Redshift, and Databricks with security standards, performance benchmark testing, and integrate with enterprise observability

4. Develop fully automated data pipeline deployment workflows integrated with code quality, vulnerability assessment, sanity checks, fine-grained approval, and change management processes for seamless migration and operationalization of code and data pipelines

5. Deploy and monitor models with AWS SageMaker & other ML models

6. Speed up cloud provisioning and implementation of release pipelines with automation levers like Terraform libraries, CI/CD blueprints, and container automation frameworks.

7. Get unified cost consumption visibility across multiple accounts and teams, and identify optimization opportunities with detailed analysis on dimensions like regions, services, resources, etc., with AWS cost optimizer

8. Monitor, track, and optimize DevOps processes and practices with DevOps 360 for a single pane of view across dimensions like availability, monitoring, security, cost, build, release, SLAs, etc.

This service offering will include:

• Cloud orchestration
• Cloud cost engineering
• Modern data platform management
• Application maintenance and support
• DataOps
• MLOps
• DORA metrics and DevSecOps
• Cloud governance
• Kubernetes management

Value delivered:

• Up to 50% annual cost savings with data pipeline and platform optimization
• Faster time-to-market by leveraging pre-built deployment libraries
• Improved resiliency with 40 – 60% auto-remediation of production incident
• Up to 30% faster cloud provisioning using Terraform libraries

AWS-native services utlized:

• CloudFormation
• CodeBuild
• CodeDeploy
• CodePipeline
• CloudWatch
• CloudTrail
• Trusted Advisor
• Security Hub
• GuardDuty
• AWS Lambda
• EMR
• Glue
• EKS/ECS
• S3
• Redshift
• RDS
• AWS Well-Architected Tool
• Config
• Inspector
• Cost Explorer
• Athena
• Step Functions
• SageMaker