AWS Cloud Infrastructure + CI/CD Automation for a Media Intelligence Platform
We designed and implemented a secure, scalable AWS cloud foundation for an AI-driven media intelligence company that helps advertisers and agencies make decisions using verified ad spend data.
Industry: AdTech / Media Intelligence / Marketing Analytics
Company size: ~150 employees (public estimates vary)
Location: New York, NY, United State
Project duration: 3 years
Tech focus: AWS, Terraform (IaC), Jenkins + GitLab CI/CD, Docker, Kubernetes/ECS, CloudWatch, New Relic, multi-account / multi-region networking
About the project
Client Overview
Client is creating its vision of the future for media buying and selling: a trusted intelligence platform for buyers, sellers, and platforms, with products like an AI Agent that turns plain-English questions into real-time charts and actionable insights sourced from verified data.
Challenges
- Establish reproducible infrastructure and eliminate environment drift
- Reduce release friction via end-to-end CI/CD automation
- Standardize containerization and orchestration for reliability and scaling
- Ensure secure AWS service integrations across environments
- Implement monitoring + alerting to improve uptime and incident response
- Build multi-account / multi-region networking, including Transit Gateway peering and secure cross-account access
Our Approach
We treated infrastructure as a product:
Codify everything (Terraform) → 2) Automate delivery (Jenkins + GitLab) → 3) Standardize runtime (Docker + Kubernetes/ECS) → 4) Strengthen reliability (autoscaling + observability) → 5) Secure connectivity (Transit Gateway peering, cross-account communication).
Work Phases
Phase 1 - Architecture & Security Baseline
- Target AWS architecture, environment separation, security requirements
- Multi-account / multi-region connectivity design
Phase 2 - Infrastructure as Code (Terraform)
- Terraform modules and reproducible provisioning
- Standardized patterns for repeatable environments
Phase 3 - CI/CD Automation (Jenkins + GitLab)
- Automated build/test/deploy pipelines
- Added caching mechanisms to speed up delivery
Phase 4 - Containers & Orchestration (Docker + Kubernetes/ECS)
- Containerized applications with Docker
- Orchestration via Kubernetes/ECS aligned with reliability and scaling needs
Phase 5 - AWS Integrations
- Secure integration with S3, CloudFront, SES, RDS, Lambda, Elastic Beanstalk
- Cross-account access and secure environment-to-environment communication
Phase 6 - Monitoring & Alerting (CloudWatch + New Relic)
- CloudWatch-based monitoring and alerts
- New Relic observability for deeper insights and faster incident response
Phase 7 - Networking (Transit Gateway Peering)
- Transit Gateway peering across multiple accounts and regions
- Controlled, secure connectivity between environments
Tech Stack
- AWS: S3, CloudFront, SES, RDS, Lambda, Elastic Beanstalk, CloudWatch, Transit Gateway
- IaC: Terraform
- CI/CD: Jenkins, GitLab
- Containers: Docker
- Orchestration: Kubernetes, ECS
- Observability: CloudWatch, New Relic
Key Results
70% faster deployments through CI/CD automation
Consistent, reproducible infrastructure with Terraform
Higher uptime and reliability via autoscaling + monitoring
Improved developer productivity through CI/CD + caching
Secure cross-account communication enabled between environments
Numbers
Deployment time: –70%
Uptime: 99.995%
Incident Reduction: –146.5%
Release Frequency: the same, but the time reduced from hours to minutes
MTTR <1 day
Want deployments to be 2-3× faster?
We’ll automate build/test/deploy and remove the manual steps slowing your team down.
Business Impact
By standardizing infrastructure delivery and operational visibility, the team moved from “manual and inconsistent” to a repeatable, scalable system where releases are faster and environments are stable. The result is fewer operational surprises and more time spent shipping product value instead of firefighting.
Team
Team Composition: 3 Dedicated DevOps Engineers.
Delivery Framework: Scaled Agile Framework (SAFe) / Scrum.
Operating Model: Cross-functional collaboration within Agile Release Trains (ARTs).
Timeline
Q3-Q4 2022 | Phase 1: Architecture, Security Baseline & Core Terraform
Q1-Q2 2023 | Phase 2: IaC Standardization & Legacy Migration
Q3-Q4 2023 | Phase 3: CI/CD Automation (Jenkins + GitLab) & Pipeline Optimization
Q1-Q2 2024 | Phase 4: Containerization & Orchestration (Docker + Kubernetes/ECS)
Q3-Q4 2024 | Phase 5: AWS Service Integrations & Secure Cross-Account Access
Q1-Q2 2025 | Phase 6: Advanced Networking & Transit Gateway Peering
Q3-Q4 2025 | Phase 7: Full-Stack Monitoring & Observability (CloudWatch + New Relic)
Q1 2026 | Phase 8: Optimization, Final Audits & Project Handover
Reviews
4.4
Our decision to work with AppRecode was based on their understanding of our industry, the depth of their technical capabilities, and a real commitment to building a true partnership model. We believe that the AppRecode`s team is ready to go the extra mile for us to help us achieve our goals and expand our business globally.
Dr Liam Terblanche
Founding member of Scriversi
CTO/CIO of other companies in the ICT space
4.0
Working with Apprecode was a great experience. They provided a professional and efficient service and created individual decision.
We are happy with the AWS solution. Every feature was given attention to make sure it worked as required.
We recommend Apprecode and look forward to continued cooperation.
Alex Should
Manager of “REW” company
5.0
I’ve had the pleasure of using Apprecode for cloud migration and management. They’re knowledgeable and professional, and their team is experienced. They go the extra mile and provide helpful advice and guidance. I’ve had a great experience with Apprecode and recommend their services.
Austin Copeland
Director of Finance and Operations at REW Technology
5.0
The DevOps services provided by Apprecode are comprehensive and cover all aspects of a project, from planning to deployment. They worked closely with me to assess my needs and develop a strategy to best address them. The team was able to quickly create a deployment plan that was tailored to my specific requirements.
Bob Whirley
Utopic Software
4.0
I’m extremely satisfied with Apprecode’s DevOps services. Their team was knowledgeable, and professional and gave prompt feedback. I recommend them for any project.
Michael Lazor
CEO of “SPSoft” Company
4.0
AppRecode has been instrumental in helping us build community-driven solutions and generate ideas for future products. Their team is highly responsive and professional, and most members are certified in at least one cloud platform. Working with AppRecode has been a seamless experience, and their expertise in DevOps as a Service has significantly contributed to the progress of our project. We recommend Apprecode and look forward to continued cooperation.
Dmitry Fonarev
CEO and Founder of “Kubeshop” Company
Our DevOps Team
If you’re looking to hire full stack developer talent, our team offers experienced professionals skilled in front-end and back-end technologies for seamless project execution. With years of experience and a proven track record, our team ensures seamless integration, automation, and optimization of your development and operations processes.
Is your infrastructure growing faster than your processes?
We’ll build a DevOps foundation that scales with your product - not against it.
Rate Apprecode as Your Partner
6 ratings, average 5 out of 5
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