Nobody owns the AWS bill
Reserved Instances, Savings Plans and idle resources pile up because no one is assigned to watch them. Spend creeps year over year with no matching increase in workload.
Cloud & Integration · AWS
AWS gives you 200+ services. You need the twelve that run your business.
Twopir architects, migrates and manages the AWS environment your workloads actually need — landing zone and IAM, phased migration, cost control, and the integration layer back into the Salesforce stack your revenue teams already run. One environment somebody owns.
20–30%
8–16
90%
55%
Part of the delivery practice behind 500+ client engagements — AWS environments architected, migrated and managed alongside the Salesforce and HubSpot systems they feed.
Where We Work On AWS
- Cloud Migration
- Landing Zone & IAM
- FinOps & Cost Control
- Managed Operations
- Salesforce ⇄ AWS Integration
- Data & Analytics
- AI/ML Enablement
- HIPAA · GDPR · SOC 2 Environments
The real cost is operational friction
Almost nobody's AWS problem is that the platform can't do the thing. It is that no one owns the bill, the access model or the cutover plan — so the environment drifts a little further from the business every quarter.
Migrations stall mid-cutover
Lift-and-shift plans stop at the point where legacy dependencies surface. Teams end up running parallel environments for months, paying twice while the timeline slips.
Security configuration is an afterthought
IAM roles get created ad hoc and buckets stay open longer than intended. Nobody has audited access policies since initial setup — the gap only becomes visible after an incident.
Salesforce and AWS don't talk to each other
Data warehouses, document stores and middleware live in AWS, but the connective tissue back to Salesforce is a patchwork of one-off scripts. Every new integration starts from scratch.
Scaling decisions are reactive
Auto-scaling rules get set once at launch and never revisited. Traffic spikes trigger firefighting instead of infrastructure that was already sized for the load.
The compliance question has no owner
HIPAA, GDPR and SOC 2 controls are configurable on AWS, but only if someone configured them. When the audit request lands, the evidence has to be reconstructed from memory.
What AWS Is
A platform that will do anything you architect for
Amazon Web Services is a general-purpose cloud platform: 200+ services covering compute, storage, database, networking, analytics, AI/ML and security, billed by consumption. It runs on 36 AWS Regions and 114 Availability Zones, and its regional SLA for EC2 across two or more Availability Zones is a 99.99% monthly uptime commitment. Compliance is a configuration decision on AWS rather than a rebuild — HIPAA, GDPR, ISO 27001 and SOC 2 controls are all supported natively.
That breadth is the problem as often as it is the point. A platform that will do anything will also let you build something nobody can operate, audit or afford. What Twopir does is decide which subset you actually run — then build the account structure, access model, migration plan and cost controls around it, and stay on to run them.
This page is for the operations, IT and RevOps leaders who already depend on AWS somewhere and need it to behave like infrastructure rather than a science project: a mid-market team migrating off on-premises hardware, a SaaS company whose original EC2 setup has stopped scaling, or a firm whose Salesforce stack needs a real data and document layer behind it. If you are choosing a CRM rather than a cloud, start at Twopir's consulting services instead.
Three ways in, and where each one stops
"AWS consulting" covers three genuinely different services. Most engagements start in one lane and grow into the next — but they are scoped, staffed and priced separately, so it is worth knowing which one you are buying.
Migrate onto AWS
A project with an end date. We inventory what is running, design the target-state architecture, and move workloads in sequenced waves with validated rollback points at each step.
- Current-state inventory and dependency mapping
- Landing zone, account structure and network design
- Wave planning, cutover runbooks and rollback tests
- Data migration and parallel-run validation
- Handover documentation your team can operate from
Where it stops Migration ends at a documented, running environment. Keeping it right as the business changes is Lane 02, and it is a separate engagement — we will say so rather than let a project quietly become a retainer.
Operate what's running
A monthly engagement. Someone watches cost, security posture and scaling behaviour against how the business is actually running — not how it looked on go-live day.
- Monthly cost review, rightsizing and Savings Plan strategy
- IAM and access-policy audits against real business need
- Auto-scaling policy tuned to observed traffic curves
- Backup, failover and patching against a stated RPO/RTO
- CloudWatch alerting that reaches a named owner
Where it stops This lane is configuration and stewardship of AWS-native services. It does not include writing application code — the moment a fix needs custom software, that is Lane 03 and we scope it.
Build on top of AWS
Custom development. The integration layer, pipelines and services that make AWS part of the operating stack instead of a place where data sits.
- Salesforce ⇄ AWS integration layer with defined contracts
- Document and file architecture on S3 with signed access
- Data pipelines into Redshift, Glue and reporting layers
- Textract and SageMaker pipelines against your own data
- Serverless services and APIs where an off-the-shelf tool won't fit
Where it stops We build on AWS; we do not resell it. Your AWS account, billing relationship and data stay yours, and everything we write is handed over documented rather than locked behind us.
The services we actually build and run
Six areas, drawn from what mid-market environments actually need. Each one is configured against your usage data and traffic patterns — never a reference architecture copied across.
Architecture & Migration
We design the target state first and migrate into it in phases, so production never stops while the environment changes underneath it.
- Landing zone, account structure and guardrails
- Workload assessment and dependency mapping
- Wave-based cutover with tested rollback points
- Migration off on-premises and legacy hosting
- Documented target-state architecture at handover
Compute & Scaling
Right-sized EC2 and container compute with scaling policies tuned to your real traffic curves, not the defaults a launch wizard suggested.
- EC2 instance-family selection and rightsizing
- Auto Scaling groups and policy tuning
- Load balancing and multi-AZ resilience
- Containerised workloads on ECS and EKS
- Serverless where it is genuinely cheaper
Storage & Database
S3, EBS, RDS and DynamoDB configured for your query patterns and retention rules, with lifecycle policies so storage cost tracks usage instead of growing unchecked.
- S3 lifecycle, tiering and encryption at rest
- RDS sizing, read replicas and automated failover
- DynamoDB access-pattern design
- Backup, retention and restore testing
- Document and media architecture with signed access
Security, IAM & Compliance
An access model where every credential maps to a documented business need — built so a security review takes hours rather than weeks of reconstruction.
- IAM role and policy audit, then rebuild
- VPC segmentation and least-privilege traffic rules
- KMS encryption and key rotation policy
- Direct Connect where latency or isolation demands it
- HIPAA, GDPR, ISO 27001 and SOC 2 control configuration
FinOps & Cost Control
Ongoing cost work rather than a one-time clean-up: someone reviews spend against workload every month, not just in the week before renewal.
- Cost Explorer and Budgets configured with real owners
- Reserved Instance and Savings Plan strategy
- Idle and over-provisioned resource reclamation
- Tagging and chargeback by team or product
- Monthly spend review with named actions
Salesforce ⇄ AWS Integration
The connective tissue: AWS data, storage and compute working inside the Salesforce workflows your teams already live in, on defined contracts instead of one-off scripts.
- Middleware and API layer with versioned contracts
- S3-backed file storage surfaced on Salesforce records
- Redshift and Glue pipelines feeding Salesforce objects
- Textract document extraction into record fields
- SageMaker models trained on AWS and Salesforce data
What moves between AWS and the rest of your stack
Every flow below is a defined contract with a direction, an owner and a failure mode — which is what makes the next integration an extension rather than another script.
Salesforce → S3
Files, attachments and generated documents move off Salesforce storage into S3, surfaced back on the record through signed URLs.
Redshift → Salesforce
Warehouse aggregates land on Salesforce objects on the cadence the business needs, rather than a nightly batch that leaves dashboards stale by morning.
Textract → Record Fields
Scanned documents are read once and written into structured fields, so the data behind a record stops living only inside a PDF.
SageMaker ⇄ CRM Data
Models train on AWS and Salesforce data together, and scores return to the CRM where a human can act on them.
QuickSight ← AWS Data
Operational reporting on warehouse data, wired up alongside — not instead of — the Salesforce reports leadership already reads. See the QuickSight build.
Events → EventBridge
Platform events and webhooks route through EventBridge with retries and a dead-letter queue, so a failed message is visible instead of lost.
IoT Streams → Salesforce
Device telemetry aggregated on AWS and pushed into service and field-service records. See the IoT integration layer.
Legacy Hosting → AWS
One-way migration flows with parallel-run validation, so the old environment is retired on evidence rather than on a date in a plan.
We don't deploy servers. We build operating infrastructure.
Most mid-market migrations run 8 to 16 weeks depending on workload complexity, with cutover happening in phases rather than a single weekend event. Stages 01 to 04 are the project; stage 05 is the part that keeps it true.
Assess
We inventory current infrastructure, workloads and dependencies, and read the actual usage and billing data rather than working from assumptions.
Architect
Target-state design: account structure, landing zone, network boundaries, access model and the cost controls that go in before anything is running.
Migrate
Workloads move in sequenced waves, validated at each step, with rollback plans defined and tested before cutover — not written after something breaks.
Secure & Optimize
IAM policies, segmentation and cost controls are configured and tested against real traffic before anyone calls the environment production-ready.
Operate
Monitoring, scaling adjustments and monthly cost reviews keep the environment matched to how the business runs now, not how it looked at launch.
What the architecture actually changed
Two engagements where the AWS layer sat behind a Salesforce stack. In a third, a mid-sized enterprise moving to the same pattern cut Salesforce storage consumption by 72% and improved file retrieval speed by 40% — all three are written up in the AWS and Salesforce file storage build notes.
HIPAA Medical Imaging Archive
Over 1M high-resolution medical images moved onto S3 with SSE-KMS encryption and HTTPS-only access enforced.
90% Less on-prem storage
37% Faster retrieval
Pass HIPAA audit
S3 + CloudFront File Layer
Salesforce file handling rebuilt on S3 multipart uploads with a CloudFront CDN in front of delivery.
55% Faster uploads
18% CSAT improvement
Where we see AWS earn its place
Four situations that bring teams to this page. If one of them reads like your quarter, the discovery call is a short one.
SaaS Scaling
A SaaS company outgrows its original EC2 setup. What started as a handful of
manually-scaled instances becomes a bottleneck once user growth accelerates. We rebuild the
compute layer with auto-scaling and load balancing tuned to actual usage curves, cutting
response times during peak load without over-provisioning for the quiet periods.
Regulated Documents
A firm needs its document repository to survive an audit. Files move from
local servers to S3 with lifecycle policies, encryption at rest and access logging that
satisfies both the regulator and the client asking the question. On legal engagements the
repository connects straight through to case records — the pattern behind Salesforce for law firms.
RevOps Reporting
A RevOps team wants AWS data feeding Salesforce dashboards in real time. Redshift and Glue pipelines aggregate data from multiple sources, and a defined integration
layer pushes it into Salesforce objects on a schedule the business actually needs — not
nightly batch jobs that leave reports stale.
Cost Recovery
A manufacturer's AWS bill has crept up with no explanation. A cost audit
surfaces idle EC2 instances, over-provisioned RDS databases and storage that was never moved
to a cheaper tier. Reserved Instance planning and lifecycle policies bring spend back in line,
and a monthly review keeps it there.
Not a vendor. An architectural partner.
Plenty of firms will stand up an AWS account. The difference shows up in month nine — when the bill, the access model and the scaling rules either still match the business or quietly don't.
We audit before we architect
Every engagement starts with a real inventory of what is running and what it costs — read off your billing and usage data, not a template migration plan.
We size for your traffic, not a demo environment
Auto-scaling thresholds and instance families come from your observed traffic curves. Generic defaults are how environments end up over-provisioned all year for one week of load.
We hand you the keys, documented
IAM policies, network diagrams and cost baselines are written down so your team can operate the environment without us. That is the test we design against.
We already speak Salesforce
Twopir's core practice is Salesforce and HubSpot delivery, so the integration back into your CRM is built by people who understand both sides of the contract — not just the AWS half.
We stay on after go-live
Monthly cost reviews and scaling adjustments are part of the engagement rather than a separate retainer negotiated once something has already drifted.
Answers before the first call
Most mid-market migrations run 8 to 16 weeks depending on workload complexity, with production cutover happening in phases rather than a single weekend event. The assessment stage is what sets the real number — a workload with undocumented legacy dependencies takes longer than the same workload with a clean inventory, and we would rather say that in week one than in week ten.
Usually, but not automatically. Where an AWS bill has gone unmanaged, Reserved Instances, Savings Plans and right-sized compute typically take 20 to 30 percent off it within two quarters. A lift-and-shift with no rightsizing can cost more than the hardware it replaced, so the honest answer depends on your current setup — which is what the assessment stage is for.
Configuration is anything achieved with AWS-native services and their settings: account structure, IAM policies, scaling rules, lifecycle policies, backups, budgets and alarms. Custom development starts the moment we write code that has to be maintained — the Salesforce integration layer, data pipelines, Textract or SageMaker workflows, and serverless services. The two are scoped and priced separately, and we will tell you which side of the line a request falls on before it is estimated.
Yes, and it is the reason most clients come to us for AWS rather than to a cloud-only shop. We design the integration layer between AWS data, storage and compute and the Salesforce workflows your team already runs, so the two behave like one system. Typical work includes S3-backed file storage surfaced on Salesforce records, Redshift pipelines feeding Salesforce objects, and document extraction writing straight into record fields.
Yes. We configure AWS environments to meet HIPAA, GDPR, ISO 27001 and SOC 2 requirements as part of the architecture rather than as a bolt-on after launch — encryption at rest and in transit, key management, access logging and retention policy. We are not your auditor and we do not issue certifications; what we deliver is an environment and an evidence trail that stands up when one arrives.
Either works. We can architect a new AWS environment from scratch or take over and optimize an account you already have running. In both cases the AWS account, the billing relationship and the data stay in your name — we build and operate inside your account rather than reselling capacity through ours.
Migration hands over a documented, running environment. From there most clients move onto a monthly managed engagement covering cost monitoring, security reviews and scaling adjustments, so the environment keeps matching how the business actually runs. That is a separate scope from the migration project, and taking it elsewhere — or in-house — is a perfectly reasonable choice.
Next Step
Get the audit first, then decide what to move
An AWS environment audit and a phased migration or optimization plan built around your actual workload and billing data — with the three lanes priced separately, so you can see what you are buying before you buy it.
Speak with architects who run AWS and the CRM stack behind it
