How a serverless application company replaced credential-based, manual deployments with a secure, fully automated infrastructure pipeline cutting provisioning time from days to minutes.
Manual Parameter Updates
AI-Powered Digital Product Engineering & Technology Consulting
Mid-sized global technology company operating across 9 countries and 10+ years in operation
Amazon Web Service (AWS)
Manual infrastructure deployments, lack of automation across multi-account environments, and inconsistent provisioning for fast-scaling digital operations
DevOps Consulting & Infrastructure Automation
In today’s cloud-first landscape, manual infrastructure management is a bottleneck that directly impacts security, scalability, and operational agility. This client is a serverless application development company was heavily reliant on manual, credential-based infrastructure deployments across multiple AWS accounts, resulting in security vulnerabilities, environment inconsistencies, and significant operational overhead.
Techanek was engaged to architect and implement a fully automated infrastructure deployment solution leveraging AWS CDK, AWS CloudFormation StackSets, AWS CodePipeline, and Amazon EventBridge. The outcome was a zero-touch, policy-compliant, and highly scalable deployment pipeline transforming infrastructure provisioning from a days-long manual process into a fully automated, sub-30-minute operation.
The client faced four critical operational and security challenges that were inhibiting growth and increasing risk:
The client was using long-lived IAM user credentials to create and deploy infrastructure. This approach exposed the organization to credential leakage, privilege escalation, and non-compliance with AWS security best practices. There was no role-based access control enforced at the deployment level.
Each time a new AWS account was onboarded for a client, engineers were required to manually update and pass infrastructure parameters during deployment. This process was repetitive, error-prone, and created bottlenecks that slowed down client onboarding.
Existing Datadog coverage did not extend to AI-specific request tracing. Teams were unable to follow a user request through APIs, LLM interactions, and downstream database calls. Root cause analysis during incidents was time-consuming, often requiring engineers to stitch together logs from multiple systems manually.
The entirely manual deployment approach created significant operational burden on the engineering team. Infrastructure inconsistencies across accounts resulted in debugging overhead, increased mean time to resolution (MTTR), and reduced team productivity.
Techanek designed a three-phase automated infrastructure deployment architecture built on native AWS services
An AWS CodePipeline was configured to continuously monitor the client’s Bitbucket repository branches (dev, test, master).
On every commit or merge, the pipeline automatically clones the repository, triggers AWS CDK synthesis, and executes CloudFormation stack updates.
The resulting StackSet is deployed from the management account, provisioning infrastructure into all relevant target AWS accounts.
AWS CodeStar connections were established between the main AWS account and the Bitbucket repository to detect branch-level changes.
Detected changes triggered Amazon EventBridge schedules, which in turn invoked a secondary pipeline deployed via AWS CDK.
This secondary pipeline pushed infrastructure updates via StackSets to all accounts under the client’s AWS Organization — ensuring synchronized, consistent deployments.
A self-managed AWS CloudFormation StackSet was implemented for centralized multi-account infrastructure management.
All account-specific parameters were dynamically fetched from AWS SSM Parameter Store, completely eliminating the need for manual parameter passing.
IAM user credentials were fully replaced with AWS IAM Identity Center (SSO) and IAM Roles, enforcing least-privilege access at every deployment stage.
AWS CDK (TypeScript)
AWS CloudFormation
AWS CodePipeline
Bitbucket + AWS CodeStar Connection
TypeScript
Node.js
Python
Nx Utility
AWS Lambda
Amazon EventBridge (Scheduled Rules)
The automation transformation delivered measurable impact across security, efficiency, and scalability dimensions:
Infrastructure provisioning and release activities depended on manual engineering effort, making deployments slower, less consistent, and harder to scale across client environments.
A standardized AWS-native automation framework enables infrastructure changes to move through deployment pipelines with minimal manual intervention, improving speed, repeatability, and operational control.
Launching new environments or onboarding new client workloads required repeated setup tasks, manual configuration, and coordination across teams, which delayed delivery.
Reusable infrastructure templates and centralized deployment patterns accelerate onboarding for new projects, environments, and accounts, helping teams start delivery faster and with fewer setup dependencies.
Manual deployment practices increased the risk of inconsistent permissions, configuration drift, and gaps in governance across environments.
Role-based access, infrastructure as code, and governed deployment workflows improve security posture, strengthen auditability, and enforce more consistent operational standards across cloud environments.
Differences between development, testing, and production environments created avoidable issues during release cycles and increased troubleshooting effort.
Environment configurations are standardized through code-driven provisioning, reducing drift and enabling more reliable promotion of workloads across development, staging, and production.
Engineering teams spent valuable time on repetitive infrastructure setup, deployment coordination, and manual fixes instead of focusing on product innovation and client delivery.
Automation reduces routine infrastructure workload, allowing teams to redirect effort toward higher-value engineering, product development, and strategic transformation initiatives.
As delivery volume increased across products, clients, and geographies, infrastructure operations became harder to manage efficiently at scale.
A repeatable cloud foundation supports Client’s broader model of automated solutions, cross-country operations, and rapid enterprise delivery, making scaling more manageable and sustainable.
Multi-account infrastructure orchestration via self-managed AWS CloudFormation StackSets
Zero-touch AWS account onboarding with automatic baseline infrastructure provisioning
Dynamic parameter resolution using AWS SSM Parameter Store at deploy time
Event-driven deployment triggers via Amazon EventBridge on every infrastructure change
Credential-free deployments using IAM Roles and AWS Identity Center SSO
Full infrastructure version control with rollback and peer-review workflows on Bitbucket
Serverless pipeline architecture powered by AWS Lambda for cost-efficient automation
By leveraging AWS CDK, CloudFormation StackSets, CodePipeline, and Amazon EventBridge, Techanek helped the client achieve a complete transformation of their infrastructure deployment lifecycle. What was once a slow, manual, and security-compromised process is now a fast, fully automated, and governance-compliant pipeline.
The solution not only addressed the immediate pain points of security risk and operational inefficiency, but also built a foundation for long-term scalability — enabling the client to onboard new customers faster, maintain infrastructure consistency across all accounts, and free their engineering team to focus on product innovation rather than infrastructure firefighting.
This engagement demonstrates Techanek's expertise in delivering end-to-end DevOps automation solutions that are secure by design, cloud-native by architecture, and business-impactful by outcome.
