AWS cloud engineering is the design and build of how your workloads run on Amazon Web Services: accounts, networks, compute, data and access.
Salesforce Select Partner · 15+ years of team experience · Architect-led
AWS cloud engineering with accounts, code and costs your team can follow.
Our engineers set up and tidy AWS estates: account structure, networking, compute, data, security and cost, all written as code, plus the connections between AWS and Salesforce.
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree AWS cloud engineering review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to AWS cloud engineering?
What is AWS cloud engineering?
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.
When to start
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 we do
What do our AWS consulting services include?
Eight services. Each one leaves code and documentation in your repository.
Landing zone setup
01Accounts, organizational units and guardrails with AWS Organizations and Control Tower.
Networking
02VPCs, Transit Gateway, private endpoints and DNS designed per account.
Compute and containers
03Workloads placed on EC2, ECS, EKS or Lambda to suit how they run.
Data services
04RDS, Aurora, DynamoDB and S3 set up with backups and encryption.
Infrastructure as code
05Terraform, OpenTofu or CloudFormation modules with reviewed pipelines.
Security review
06IAM, KMS, Security Hub findings and logging checked and fixed.
Cost control
07Spend by team, rightsizing and Savings Plans planned with Cost Explorer.
Migration and Salesforce connections
08Workloads moved to AWS and Salesforce data linked to it.
Landing zone
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.
- AWS Cost Explorer
- AWS Budgets
- Savings Plans
- Amazon CloudWatch
- Amazon EC2
- Amazon ECS
- Amazon EKS
- AWS Lambda
- Amazon RDS
- Amazon Aurora
- Amazon DynamoDB
- Amazon S3
- VPCs per account
- AWS Transit Gateway
- VPC endpoints
- Amazon Route 53
- IAM Identity Center
- IAM roles
- AWS KMS
- Security Hub
- AWS CloudTrail
- AWS Organizations
- AWS Control Tower
- Organizational units
- Service control policies
Migration
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: Virtual machines with steady load
How it moves: Rehost with AWS Transform MGN, then right-size
Where it lands on AWS: Amazon EC2
What you run today: Web apps already in containers
How it moves: Replatform onto managed containers
Where it lands on AWS: Amazon ECS on AWS Fargate, or Amazon EKS
What you run today: Databases on your own servers
How it moves: Move with AWS Database Migration Service
Where it lands on AWS: Amazon RDS or Aurora
What you run today: Scheduled jobs and scripts
How it moves: Refactor into small functions
Where it lands on AWS: AWS Lambda with EventBridge Scheduler
What you run today: File shares and exports
How it moves: Copy, reorganize and set retention
Where it lands on AWS: Amazon S3 with lifecycle rules
What you run today: Apps nobody uses anymore
How it moves: Retire after sign-off
Where it lands on AWS: Switched off and archived
Salesforce and AWS
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.
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.
Reporting
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.
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 it runs
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
What it costs and how long it takes
The review is free
A 60-minute architecture review of your AWS accounts and workloads setup, with a written plan you keep.
A fixed-scope proposal first
Before any work starts you get a written proposal: a fixed-scope project with milestones, or a monthly plan. You approve it, or you do not.
Timing follows scope
How long it takes depends on what is in scope. The proposal states the milestones, so you see the timeline before you commit.
Client stories
Client work we have delivered
Real engagements, described by industry. Each story covers the starting position, what we built and how we delivered it, end to end.
Financial ServicesSelf-Hosted AI Research Infrastructure Behind a Salesforce Deal EngineSelf-hosted AI agent infrastructure for a US private equity advisory firm: n8n workflows, PostgreSQL, web research and Google Drive mandate documents, deployed with Coolify and writing results back to Salesforce.n8n · PostgreSQL · Coolify · FirecrawlRead the story
Commercial & Business ServicesA Subscription Estimator and Technical Library for Fire Protection ProfessionalsA Next.js web application for a fire protection business: a searchable technical library and estimator with role-based access, manufacturer filtering, PDF output and subscriptions, with AI product identification in development.Next.js · Custom web application · Authentication and roles · SubscriptionsRead the story
Communications, Media & TechnologyFour Production AI Systems for a Japanese Contact Centre OperatorCustom AI for a Japanese contact centre operator: recorded and live Japanese call transcription, 16-field emergency form extraction with human review, a bilingual knowledge base, and realtime operator assistance.Custom AI · Speech-to-text · Large language models · Vector searchRead the story Client reviews
What clients say about working with our architects
See how teams describe working with SynconAI, from first scope to production delivery.
Salesforce Select Partner30+ Salesforce certificationsDelivery from Delaware & Sydney, worldwide
Simply Outstanding
“SynconAI Consulting are Simply the Best in the Business When it comes to Salesforce implementation and AI-powered solutions, SynconAI are in a league of their own. Their expertise, dedication, and ability to deliver results that truly move the needle sets them apart from every other consulting partner we've worked with. What they achieved with our Sales Cloud, Service Cloud, and custom Agentforce agent has completely transformed how we operate streamlining our pipelines and our customer service, and automating tasks that used to consume hours of our team's time. They don't just implement technology they transform businesses. If you want the best, you work with their team.”
“I had a very urgent deadline for our project reporting to be delivered and needed to build the module, dashboard and output reports in Salesforce. SynconAI were very responsive - they met with me online, responded to my emails quickly and took calls - whatever was needed to progress the work quickly. We are thrilled with the outcome and will continue to work with SynconAI in the future to continue to build our Salesforce capability and platform.”
“The team at SynconAI were fantastic, and promptly delivered on each project. They were able to guide us through every stage and made sure we were satisfied with the outcomes on multiple scopes of work.”
“They have been great and helping us transform out business by bringing what I conceptualize to life. Great at translating process/workflow needs into a solution. Been a pleasure work with and they're a critical part of our team and will be instrumental into bringing about my vision.”
“Working with SynconAI was a seamless and highly professional experience from start to finish. They took the time to deeply understand our business processes before designing and implementing a Salesforce solution tailored specifically to our operational needs. The team demonstrated strong technical expertise across Salesforce configuration, automation, integrations, reporting, and user experience design.”
Frequently asked questions
AWS cloud engineering, answered.
Straight answers about landing zones, migration, cost and connecting Salesforce to AWS.
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.
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.
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.
Terraform, OpenTofu, AWS CloudFormation or the AWS CDK. We use what your team already knows, and keep every module and pipeline in your repository.
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.
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.
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.
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.
Amazon Web Services, AWS and the AWS service names on this page are trademarks of Amazon.com, Inc. or its affiliates. Salesforce and Data 360 are trademarks of Salesforce, Inc. Terraform is a trademark of HashiCorp, an IBM company; OpenTofu is a project of the Linux Foundation. SynconAI is an independent consulting firm; apart from its Salesforce partner status, it is not affiliated with or endorsed by these companies.
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