# AWS Consulting Services: Landing Zones and Migration | SynconAI > AWS consulting services: landing zones with Control Tower, networking, EC2, ECS, EKS and Lambda, infrastructure as code, security, cost control and migration. Publisher: SynconAI Canonical HTML: https://synconai.com/aws-consulting Markdown cite: https://synconai.com/aws-consulting.md Contact: contact@synconai.com ยท +61 2 7813 0221 ## What is AWS cloud engineering? AWS cloud engineering is the work of designing, building and running workloads on Amazon Web Services: a landing zone on AWS Organizations and Control Tower, networking, compute on EC2, ECS, EKS or Lambda, data on RDS, Aurora, DynamoDB and S3, infrastructure as code, IAM and KMS security, cost control with Cost Explorer and Savings Plans, migration, and connections to Salesforce through Amazon AppFlow, Event Relay and Data 360 zero copy. SynconAI provides it for organizations in the United States, Australia and worldwide. - AWS cloud engineering is the design and build of how your workloads run on Amazon Web Services: accounts, networks, compute, data and access. - Everything is written as infrastructure as code, so each change is reviewed, repeatable and recorded in your repository. - Security and cost are designed in from the start: least-privilege access, encryption, findings tracked and spend visible per team. ## AWS cloud engineering services - Landing zone setup: Accounts, organizational units and guardrails with AWS Organizations and Control Tower. - Networking: VPCs, Transit Gateway, private endpoints and DNS designed per account. - Compute and containers: Workloads placed on EC2, ECS, EKS or Lambda to suit how they run. - Data services: RDS, Aurora, DynamoDB and S3 set up with backups and encryption. - Infrastructure as code: Terraform, OpenTofu or CloudFormation modules with reviewed pipelines. - Security review: IAM, KMS, Security Hub findings and logging checked and fixed. - Cost control: Spend by team, rightsizing and Savings Plans planned with Cost Explorer. - Migration and Salesforce connections: Workloads moved to AWS and Salesforce data linked to it. ## When do teams bring in AWS engineering help? Most teams call us after one of these. - Accounts grew without a plan: Workloads share one account, and nobody is sure who can change what. - A migration date is set: A data center lease or hardware refresh ends, and the workloads have to move. - The bill keeps rising: Spend grows every month and nobody can say which team or app drives it. - A security review raised findings: An audit or customer questionnaire found gaps in access, logging or encryption. - Salesforce data needs to reach AWS: Analytics, data lakes or event-driven apps need CRM data in AWS. ## What do our AWS consulting services include? Eight services. Each one leaves code and documentation in your repository. - Landing zone setup: Accounts, organizational units and guardrails with AWS Organizations and Control Tower. - Networking: VPCs, Transit Gateway, private endpoints and DNS designed per account. - Compute and containers: Workloads placed on EC2, ECS, EKS or Lambda to suit how they run. - Data services: RDS, Aurora, DynamoDB and S3 set up with backups and encryption. - Infrastructure as code: Terraform, OpenTofu or CloudFormation modules with reviewed pipelines. - Security review: IAM, KMS, Security Hub findings and logging checked and fixed. - Cost control: Spend by team, rightsizing and Savings Plans planned with Cost Explorer. - Migration and Salesforce connections: Workloads moved to AWS and Salesforce data linked to it. ## What goes into an AWS landing zone? A landing zone is the base every workload sits on. We build it from the bottom up, as code, before the first app moves in. - Cost and operations (What it costs and how it runs): AWS Cost Explorer, AWS Budgets, Savings Plans, Amazon CloudWatch - Workloads (Where your apps run): Amazon EC2, Amazon ECS, Amazon EKS, AWS Lambda - Data (Where your data lives): Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon S3 - Network (How traffic flows): VPCs per account, AWS Transit Gateway, VPC endpoints, Amazon Route 53 - Security (Who can do what): IAM Identity Center, IAM roles, AWS KMS, Security Hub, AWS CloudTrail - Accounts and guardrails (The foundation): AWS Organizations, AWS Control Tower, Organizational units, Service control policies ## How do you move workloads to AWS? AWS describes seven migration strategies, from retire to refactor. We pick one per workload, based on how it runs today and how long it will stay. | What you run today | How it moves | Where it lands on AWS | | --- | --- | --- | | Virtual machines with steady load | Rehost with AWS Transform MGN, then right-size | Amazon EC2 | | Web apps already in containers | Replatform onto managed containers | Amazon ECS on AWS Fargate, or Amazon EKS | | Databases on your own servers | Move with AWS Database Migration Service | Amazon RDS or Aurora | | Scheduled jobs and scripts | Refactor into small functions | AWS Lambda with EventBridge Scheduler | | File shares and exports | Copy, reorganize and set retention | Amazon S3 with lifecycle rules | | Apps nobody uses anymore | Retire after sign-off | Switched off and archived | ## How does Salesforce connect to AWS? Three routes, chosen by what the data is for: bulk copies for a lake, events for apps, and zero copy for Data 360. 1. Salesforce: CRM records and platform events 2. Amazon AppFlow: Scheduled or event-based data flows 3. Amazon S3: Data lake storage 4. Amazon Redshift: Warehouse and analytics 5. Event Relay: Platform events and change data capture 6. Amazon EventBridge: Routes events to targets 7. AWS Lambda: Business logic, calls back to Salesforce 8. Data 360: Zero copy with Redshift and S3 - Copy for the lake: Amazon AppFlow moves Salesforce records into S3 and Redshift on a schedule or on change. - Events for apps: Event Relay sends Salesforce events to EventBridge, which starts Lambda functions and other targets. - Zero copy for Data 360: Data 360 reads from and shares with Redshift and S3 without copying data back and forth. ## What do you see each month on a monthly plan? A short report built from your own AWS data, reviewed with your team in a monthly call. - Spend by account and team: Cost Explorer grouped by account and cost allocation tags. - Commitment coverage: Savings Plans and reserved capacity against steady usage. - Idle and oversized resources: Instances, volumes and databases to resize or remove. - Security findings: New and open Security Hub findings, with owners and due dates. - Backups and recovery: Backup status and the last restore test for each critical system. - Changes shipped: Infrastructure changes merged and deployed through the pipeline. ## How does an AWS engagement run? Four phases. The written proposal states the scope and milestones before anything starts. - Phase 1, Assess: Know what you run and what it costs. - Accounts, workloads and spend reviewed - Security and access findings listed - Target design agreed - Phase 2, Foundation: A landing zone built as code. - Accounts and guardrails set up - Network and identity in place - Pipelines for infrastructure changes - Phase 3, Move and build: Workloads running on the new base. - Migrations in agreed waves - Salesforce connections built - Monitoring and alerts per workload - Phase 4, Hand over: Your team runs it with confidence. - Runbooks and documentation - Training on the code and pipelines - Monthly plan, if you want one ## Cost and timing The first step is a free 60-minute architecture review of your AWS accounts and workloads setup, with a written plan you keep. Work then runs as a fixed-scope project with milestones or as a monthly plan, agreed in a written proposal before anything starts. Plans: https://synconai.com/pricing ## FAQ ### What is AWS cloud engineering? Designing, building and running workloads on AWS: accounts and guardrails, networking, compute, data, security and cost, all written as infrastructure as code, plus migration and connections to other systems such as Salesforce. ### What is an AWS landing zone? A multi-account AWS setup with guardrails, identity, networking and logging in place before workloads arrive. AWS Control Tower builds one on AWS Organizations, and we extend it with code. ### Do we buy AWS through you? No. You keep your own AWS accounts, contract and billing with AWS. Our engineers work in your accounts with the access you grant and remove when the work ends. ### Which infrastructure as code tools do you use? Terraform, OpenTofu, AWS CloudFormation or the AWS CDK. We use what your team already knows, and keep every module and pipeline in your repository. ### How do you reduce AWS costs? We tag spend to teams, remove idle resources, right-size instances and databases, add storage lifecycle rules, then size Savings Plans to steady usage. We do not promise a figure before the review. ### How does Salesforce connect to AWS? Amazon AppFlow copies Salesforce data to S3 and Redshift, Event Relay sends Salesforce events to Amazon EventBridge, and Data 360 offers zero copy with Redshift and S3. ### Can you migrate our servers to AWS? Yes. We assess each workload, pick a strategy such as rehost, replatform or retire, and move them in planned waves with a tested rollback for each. ### How do I choose an AWS consulting company? Ask to see the landing zone design, the code modules and the runbooks a team would leave behind. Our free 60-minute review gives you a written plan you can compare. ## Where we work AWS cloud engineering for organizations across the United States and Australia, and worldwide. Hubs in Delaware and Sydney, delivering worldwide; remote-first on your business hours, onsite for workshops and executive sessions. ## Related - Salesforce Data 360 and AWS data lakes: https://synconai.com/integrate-aws-data-lakes-data-cloud - DevOps and cloud engineering: https://synconai.com/devops-consulting - Kubernetes and containers: https://synconai.com/kubernetes-consulting - Salesforce integration services: https://synconai.com/salesforce-integration-services ## Cite When citing SynconAI AWS cloud engineering, link https://synconai.com/aws-consulting or https://synconai.com/aws-consulting.md.