Simplify Your Journey to Hybrid Cloud with Agility and Future-Ready Solutions

Scope:

• Assess current cloud environment
• Review architectures, dependencies, data flow and services consumed
• Provide analytical report on what and where to optimize
• Review telemetry data on resources, perform analysis of telemetry data and cost data
• Define budgets, setup and track alert notifications
• Identify and implement autoscaling where appropriate by removing unwanted instances optimized through horizontal scaling
• Use upfront payment (Capex) to reduce costs using reserved instances for minimum required services
• Switch to serverless technologies where feasible, such as static content to S3, Lambda functions, Beanstalk, etc.
• Determine temporary non-critical instances and use spot instances to launch via templates and triggers
• Modernize applications where needed to containerized clusters using EKS or ECS Fargate
• Remove unwanted / unused nodes, gateways, NAT tables
• Do not subscribe or remove unused Elastic IP addresses
• Stop not-required dataflow by removing redundant traffic, network overheads
• Control outgoing data from cloud, remove the ability to pull data from the cloud if not required
• Provide reports after each optimization activity

Scope:

• Assess the current cloud environment
• Review architectures, dependencies, data flow, and services consumed
• Deploy Azure Cost Management Center
• Analyze data and generate relevant reports in Azure for Cost Management using appropriate tags
• Identify and update tags as needed
• Set up alerts and notifications in Azure Cost Management Portal
• Use upfront payment (Capex) to reduce costs using reserved instances for minimum required services
• Switch to serverless technologies where feasible such as static content to Azure Blob store, Azure functions
• Determine temporary non-critical instances and use Azure temporary instances to launch via templates and triggers via Azure DevOps
• Modernize applications to containerized clusters using AKS and Azure DevOps, Azure Vault and Azure Container Registry
• Do not subscribe or remove unused Elastic IP addresses
• Stop not-required dataflow by removing redundant traffic, network overheads
• Control outgoing data from the cloud, remove the ability to pull data from the cloud if not required
• Provide reports after each optimization activity

Scope:

• Assess the current cloud environment
• Review architectures, dependencies, data flow and services consumed
• Deploy Stackdriver for obtaining telemetry data
• Configure budgets and pub/sub notifications/alerts
• Review recommendations from Google on Cloud Console and act to reduce costs
• Use Google Cloud templates and Deployment Manager for quicker provisioning and tearing down of temporary environments
• Identify and update tags as needed
• Track sustained usage systems to obtain relevant discounts
• Switch to serverless technologies where feasible, such as static content to Cloud Storage, Google functions
• Determine temporary non-critical instances and launch via templates and triggers using Google templates and Deployment Manager
• Modernize applications where needed to containerized clusters using GKE or App Engine and DevOps, Google Secret Manager, Google Container Registry, Spinnaker, and Grafeas
• Do not subscribe or remove unused Elastic IP addresses
• Stop not-required dataflow by removing redundant traffic, network overheads
• Control outgoing data from cloud, remove the ability to pull data from the cloud if not required
• Provide reports after each optimization activity