Ship production features without owning the platform they run on

Aptible handles the infrastructure, security, and compliance layer so engineering teams can deploy, scale, and operate regulated applications without maintaining the platform themselves.

Ship production features without owning the platform they run on

Aptible handles the infrastructure, security, and compliance layer so engineering teams can deploy, scale, and operate regulated applications without maintaining the platform themselves.

Ship production features without owning the platform they run on

Aptible handles the infrastructure, security, and compliance layer so engineering teams can deploy, scale, and operate regulated applications without maintaining the platform themselves.

"99% of the time, we're focused on solving a business problem and not a deployment issue."

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The reality for engineering teams

Production infrastructure becomes a liability before anyone notices

Engineering teams in regulated industries don't set out to own a platform. But as the product grows, the AWS stack someone built in the early days starts requiring full-time attention, with compliance and security overhead compounding on top of it. These are the failure modes we see most often.

One engineer becomes the accidental platform owner

The AWS stack was never supposed to be a full-time job. But every compliance question, infrastructure incident, and security review flows through whoever built it. The rest of the team can't ship without them, and that person is stuck on call for infrastructure decisions instead of product work.

Compliance prep costs unplanned engineering sprints

SOC 2, HIPAA audits, and enterprise security reviews arrive on short notice and land on engineering. Pulling logs, verifying access controls, documenting what the stack actually does... it takes weeks and none of it was in the roadmap. The process repeats every time a new review arrives.

Controls drift as the system grows

The original setup was careful. But as new services, environments, and engineers are added, IAM policies widen, logging coverage becomes inconsistent, and isolation assumptions break down. The drift is invisible until an auditor or enterprise customer asks a question the team can't answer cleanly.

New services inherit no defaults

Adding a new application, worker, or database means reconfiguring network boundaries, access controls, and logging from scratch. There's no template that carries the security model forward: just another set of decisions to get right under time pressure.

Enterprise deals stall on infrastructure questions

A sale is about to close. Then the security questionnaire arrives and it goes to engineering. Who has production access? How long are logs retained? How is PHI isolated? When did the last configuration change happen? Finding complete, attributable answers takes longer than anyone expected, and deals wait.

Why the overhead keeps growing

Regulated infrastructure doesn't maintain itself

Why the overhead keeps growing

Regulated infrastructure doesn't maintain itself

Why the overhead keeps growing

Regulated infrastructure doesn't maintain itself

Cloud infrastructure puts security ownership on engineering by design

AWS is configurable, not pre-configured. Encryption, isolation, logging, access controls, and retention all require explicit decisions. Most teams get the initial decisions right. The problem is maintaining them correctly as systems change and grow.

Cloud infrastructure puts security ownership on engineering by design

AWS is configurable, not pre-configured. Encryption, isolation, logging, access controls, and retention all require explicit decisions. Most teams get the initial decisions right. The problem is maintaining them correctly as systems change and grow.

Generic PaaS doesn't meet regulated requirements

Heroku and Render optimize for developer speed. When a healthcare customer or enterprise buyer asks about dedicated isolation, audit trails, and BAA coverage, the platform can't answer. Teams outgrow general-purpose PaaS before they realize it.

Generic PaaS doesn't meet regulated requirements

Heroku and Render optimize for developer speed. When a healthcare customer or enterprise buyer asks about dedicated isolation, audit trails, and BAA coverage, the platform can't answer. Teams outgrow general-purpose PaaS before they realize it.

Security doesn't show up on the roadmap until pressure is external

There's no sprint for "tighten IAM" or "close logging gaps." Security work gets deferred until an audit, an incident, or a deal at risk forces it into the queue, and by then it's no longer a clean engineering problem.

Security doesn't show up on the roadmap until pressure is external

There's no sprint for "tighten IAM" or "close logging gaps." Security work gets deferred until an audit, an incident, or a deal at risk forces it into the queue, and by then it's no longer a clean engineering problem.

No platform team required
Security controls
Audit evidence
Role-based access control
AI features without compliance risk

No platform team required

Deploy, scale, and operate production applications on isolated, compliant infrastructure without owning the platform underneath. Aptible handles patching, upgrades, database operations, and platform maintenance so engineering stays focused on the product.

  • No platform team required

    Deploy, scale, and operate production applications on isolated, compliant infrastructure without owning the platform underneath. Aptible handles patching, upgrades, database operations, and platform maintenance so engineering stays focused on the product.

  • Security controls that hold as the system grows

    Isolation, encryption, access controls, and audit logging are enforced at the infrastructure layer by default. Every new application, worker, or database inherits the same security model. Controls don't depend on every engineer doing the right thing. They're built into how the platform works.

  • Audit evidence without custom pipelines

    Deploys, access events, and configuration changes are logged automatically and retained over time. When an auditor, customer, or security reviewer asks what changed and who had access, the answer is already there.

    Operation

    Backup

    Operation: 0000978

    Update

    Operation: 0000976

    Deprovision

    Operation: 0000975

    Deploy

    Operation: 0000968

    Target

    billing

    Database

    Dev Team

    Role

    dev-db-2

    Database

    billing-api

    App

    Status

    SUCCESS

    SUCCESS

    SUCCESS

    SUCCESS

    Actor

    Aptible Support

    Sally G.

    sally.green@acme.com

    Jane D.

    jane.doe@acme.com

    Ian R.

    ian.rodriguez@acme.com

    Environment

    production-us-east-2

    Dedicated Stack (us-east-2)

    --

    acme-staging

    Dedicated Stack (us-east-1)

    production-us-east-2

    Dedicated Stack (us-east-2)

    Occurred at

    Jan 17, 2026 at 13:11:43 UTC

    Duration: 1m 37s

    Jan 17, 2026 at 13:10:32 UTC

    --

    Jan 17, 2026 at 13:04:48 UTC

    Duration: 47s

    Jan 17, 2026 at 13:02:09 UTC

    Duration: 1m 54s

  • RBAC that holds up under scrutiny

    Access is tied to real identities and governed by least privilege. Engineering teams can show exactly who can deploy, access databases, and view logs, without managing IAM policies manually or explaining away broad permissions.

    role

    members

    Admin

    Full visibility

    deployment

    Account Owners

    3

    Deploy Owners

    12

    Experimental

    4

    Billing-Only

    2

    Dev Access

    12

    Marketing Site

    3

  • AI features without new compliance risk

    Engineering teams experimenting with AI can route requests through Aptible AI Gateway to keep sensitive data inside controlled infrastructure boundaries. Logging, credential management, and guardrails are enforced automatically.

    Request ID

    1980080

    1980079

    1980078

    1980077

    1980076

    1980075

    1980074

    Model

    anthropic/claude-opus-4-6

    anthropic/claude-sonnet-4-5

    bedrock/openai.gpt-oss-120b-1:0

    openai/chatgpt-4o-latest

    anthropic/claude-sonnet-4-6

    anthropic/claude-opus-4-6

    anthropic/claude-sonnet-4-6

    Status

    SUCCESS

    SUCCESS

    SUCCESS

    SUCCESS

    ERROR

    SUCCESS

    SUCCESS

    Tokens

    79

    84

    77

    234

    186

    94

    123

    Cost(US$)

    0.0023

    0.0021

    0.0023

    0.0047

    0.0038

    0.0029

    0.0033

    Start Time

    Jan 17, 2026

    2026-01-17 19:48:16 UTC

    Jan 17, 2026

    2026-01-17 19:36:11 UTC

    Jan 17, 2026

    2026-01-17 19:29:19 UTC

    Jan 17, 2026

    2026-01-17 19:27:23 UTC

    Jan 17, 2026

    2026-01-17 19:22:42 UTC

    Jan 17, 2026

    2026-01-17 19:18:05 UTC

    Jan 17, 2026

    2026-01-17 19:08:56 UTC

    Duration(s)

    1.97

    0.877

    1.233

    2.31

    0.882

    0.877

    0.854

No platform team required
Security controls
Audit evidence
Role-based access control
AI features without compliance risk

No platform team required

Deploy, scale, and operate production applications on isolated, compliant infrastructure without owning the platform underneath. Aptible handles patching, upgrades, database operations, and platform maintenance so engineering stays focused on the product.

Use Cases

How engineering teams use Aptible

Use Cases

How engineering teams use Aptible

Scale the product without scaling the platform team

Add applications, services, and databases as the product grows without adding infrastructure headcount or inheriting new operational debt.

Pass security reviews without a sprint of prep

Answer diligence questions about access history, PHI isolation, encryption, and log retention directly from the platform, without reconstructing evidence after the fact.

Add services safely without redefining the security model

Introduce new components to the stack without reconfiguring network boundaries, rebuilding access controls, or starting logging from scratch.

Keep controls consistent as the team and system change

Enforce least-privilege access and auditability as engineers join, leave, and change roles. Controls hold without requiring manual review cycles to catch what drifted.

aptible vs aws diy

What changes when the platform owns the guardrails

The difference between building directly on AWS and deploying on Aptible is who maintains the security and compliance controls as the system evolves.

Directly on aws

Dedicated isolation enforced by default

Configure and maintain isolation for every environment

Least-privilege RBAC built in

Design and enforce IAM policies that reflect real access

Encryption configured and maintained automatically

Configure encryption for databases, backups, and traffic

Centralized, reviewable activity logging included

Aggregate activity logs across CloudTrail and services

Controls persist as services and environments are added

Rebuild security coverage when architecture changes

Audit evidence available on demand

Manually prepare evidence for audits and reviews

Platform operations handled by Aptible

Hire or designate someone to own the platform

Stop maintaining the platform. Start shipping the product.

Stop maintaining the platform. Start shipping the product.