INFRASTRUCTURE
Reliable and secure by design.
We build the infrastructure behind your systems on AWS, Google Cloud, or Cloudflare. It is designed to stay available as usage grows, resist outside attacks, and remain monitored after launch.
Core principles
These four principles apply to every architecture
01 Layered protection
Controls at the entrance, sign-in, and data layers stop an issue before it reaches everything.
02 Availability under load
Capacity grows when usage rises and shrinks when demand falls. You pay only for what is used.
03 Recoverable data
Regular backups let us restore a working state after a problem.
04 Repeatable environments
We record every setting so testing environments and replacements can be recreated quickly in the same form.
01 — ARCHITECTURE
Architecture examples
We choose AWS, Google Cloud, or Cloudflare based on users, scale, budget, and the existing environment. These examples include realistic network boundaries.
Public web service
A resilient setup that can handle sudden traffic while protecting member data.
- Databases sit in a private network, beyond direct public access.
- Two availability zones keep the service running if one fails.
- Application capacity scales with demand.
AWS Cloud
Route 53Domain routing
ALBDistribute traffic across zones
ECS FargateAutoscaling app
Aurora primaryEncrypted member dataECS FargateAutoscaling appAurora standbyAutomatic failover
CognitoMember sign-in
S3Private files
Secrets ManagerSecrets storage
CloudWatchLoad and activity logs
SlackNotify the team
On-call engineerDecide and respondSpecialistThese are examples. The final architecture depends on your requirements, budget, and current environment.
02 — OPERATIONS
Protection after launch
Every change passes automated checks and specialist review before release. We monitor the system after launch and use what we learn to improve it.
Roles of specialists, AI, and automation
- 01Build a changeSpecialist
A specialist builds the requested fix or new feature.
- 02Run functional checksAutomated
Automatically check that existing functions still work after each change.
- 03Check dependenciesAutomated
Check every day whether the components in use have known weaknesses.
- 04AI tests attack pathsAI
AI tries common attacks in a practice environment resembling production.
- 08Respond and improveSpecialist
A specialist assesses alerts and carries the needed fixes into the next change.
- 07MonitorAI
AI records activity and flags unusual behavior.
- 06ReleaseAutomated
Apply the change to production with the same reliable process each time.
- 05Review and approveSpecialist
A specialist reviews results and decides whether the change can be released.
- 01Build a changeSpecialist
A specialist builds the requested fix or new feature.
- 02Run functional checksAutomated
Automatically check that existing functions still work after each change.
- 03Check dependenciesAutomated
Check every day whether the components in use have known weaknesses.
- 04AI tests attack pathsAI
AI tries common attacks in a practice environment resembling production.
- 05Review and approveSpecialist
A specialist reviews results and decides whether the change can be released.
- 06ReleaseAutomated
Apply the change to production with the same reliable process each time.
- 07MonitorAI
AI records activity and flags unusual behavior.
- 08Respond and improveSpecialist
A specialist assesses alerts and carries the needed fixes into the next change.
- ↻ One cycle for each change（Return to 01）
AI assisted attack testing
AI tries common attack paths in a practice environment. We can test each change more often than with a manual assessment. A specialist reviews the findings, decides what needs fixing, and approves the release.
- When
- Before each release and weekly
- Where
- A practice environment resembling production, without affecting the live service
- What
- Impersonation, input abuse, access to restricted information, and configuration errors