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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.

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  • 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

  • Salesforce Select Partner
  • OpenAI Select Partner
  • ISO/IEC 27001 certified
  • ISO 9001:2015 certified
  • Salesforce Talent Alliance employer
  • Monday.com Certified Partner
  • Google Cloud Partner
  • Anthropic Partner
  • OpenAI Partner Network Technical Practitioner

New to AWS cloud engineering?

What is AWS cloud engineering?

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.

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.

  1. Landing zone setup

    01

    Accounts, organizational units and guardrails with AWS Organizations and Control Tower.

  2. Networking

    02

    VPCs, Transit Gateway, private endpoints and DNS designed per account.

  3. Compute and containers

    03

    Workloads placed on EC2, ECS, EKS or Lambda to suit how they run.

  4. Data services

    04

    RDS, Aurora, DynamoDB and S3 set up with backups and encryption.

  5. Infrastructure as code

    05

    Terraform, OpenTofu or CloudFormation modules with reviewed pipelines.

  6. Security review

    06

    IAM, KMS, Security Hub findings and logging checked and fixed.

  7. Cost control

    07

    Spend by team, rightsizing and Savings Plans planned with Cost Explorer.

  8. Migration and Salesforce connections

    08

    Workloads 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.

  1. Cost and operationsWhat it costs and how it runs
    • AWS Cost Explorer
    • AWS Budgets
    • Savings Plans
    • Amazon CloudWatch
  2. WorkloadsWhere your apps run
    • Amazon EC2
    • Amazon ECS
    • Amazon EKS
    • AWS Lambda
  3. DataWhere your data lives
    • Amazon RDS
    • Amazon Aurora
    • Amazon DynamoDB
    • Amazon S3
  4. NetworkHow traffic flows
    • VPCs per account
    • AWS Transit Gateway
    • VPC endpoints
    • Amazon Route 53
  5. SecurityWho can do what
    • IAM Identity Center
    • IAM roles
    • AWS KMS
    • Security Hub
    • AWS CloudTrail
  6. Accounts and guardrailsThe foundation
    • 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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

Monthly AWS estate report
  • 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 it runs

How does an AWS engagement run?

Four phases. The written proposal states the scope and milestones before anything starts.

  1. Phase 1

    Assess

    Know what you run and what it costs.

    • Accounts, workloads and spend reviewed
    • Security and access findings listed
    • Target design agreed
  2. Phase 2

    Foundation

    A landing zone built as code.

    • Accounts and guardrails set up
    • Network and identity in place
    • Pipelines for infrastructure changes
  3. Phase 3

    Move and build

    Workloads running on the new base.

    • Migrations in agreed waves
    • Salesforce connections built
    • Monitoring and alerts per workload
  4. 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.

See plans and pricing

Client reviews

What clients say about working with our architects

See how teams describe working with SynconAI, from first scope to production delivery.

5.0 out of 5 · 5 client reviews

 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.”

Sales CloudService CloudAgentforce
Jack BennettConsumer Goods & Retail · United States

“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.”

Sales CloudService CloudNonprofit Cloud
Salesforce Managed ServicesAustraliaSalesforce Verified

“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.”

Sales CloudSlackFlowAgentforceMuleSoft
ManufacturingAustraliaSalesforce Verified

“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.”

Sales CloudFinancial Services CloudArchitectureAI
Financial ServicesUnited StatesSalesforce Verified

“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.”

SalesforceExperience CloudCustom DevelopmentAutomationReporting
Salesforce ImplementationSalesforce Verified

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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