AWS Services

AWS DevOps & Infrastructure

AQBEE builds robust DevOps practices and cloud infrastructure on AWS. From containerised applications on ECS and EKS to infrastructure-as-code with CloudFormation and Terraform, automated CI/CD pipelines, and comprehensive security posture management — we help teams ship faster, operate reliably, and scale confidently.

Capabilities

What We Deliver

Container Orchestration (ECS/EKS)

Deploy containerised applications on Amazon ECS Fargate or EKS with auto-scaling, service mesh, and seamless Salesforce API connectivity.

Infrastructure as Code

Manage all AWS resources using CloudFormation or Terraform with version control, automated drift detection, and environment promotion pipelines.

CI/CD Pipelines

Build automated deployment pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy — with integrated Salesforce DX deployments for unified releases.

Monitoring & Observability

Implement comprehensive monitoring with CloudWatch, X-Ray, and third-party tools for end-to-end visibility across AWS and Salesforce workloads.

Security & Compliance

Design secure architectures with AWS WAF, GuardDuty, Security Hub, and IAM best practices — meeting SOC 2, HIPAA, and PCI-DSS requirements.

Real-World Applications

How We Apply It

Multi-Environment Deployment Pipeline

A fintech company builds a unified CI/CD pipeline that deploys both AWS microservices and Salesforce metadata through dev, staging, and production environments with automated testing gates.

Key Highlight

Amazon CodeGuru reviews pull requests for code quality and security vulnerabilities before deployment approval.

Auto-Scaling Application Platform

A media company deploys a content delivery platform on ECS Fargate with auto-scaling policies that handle 10x traffic spikes during live events while maintaining Salesforce API rate limits.

Key Highlight

CloudWatch anomaly detection identifies unusual traffic patterns and pre-scales infrastructure before demand peaks hit.

Disaster Recovery Architecture

An enterprise designs a multi-region DR strategy on AWS with automated failover, cross-region replication, and recovery playbooks that include Salesforce org backup and restoration.

Key Highlight

Automated runbooks with SSM and Step Functions execute recovery procedures with health checks at each stage.

Case Studies

AWS DevOps & Infrastructure Success Stories

See how we've delivered measurable results with AWS DevOps & Infrastructure.

CI/CD Transformation with AWS DevOps and Infrastructure as Code

15x increase

Deployment Frequency

Technology

CI/CD Transformation with AWS DevOps and Infrastructure as Code

DeployFast Technologies

DeployFast's engineering team of 85 developers was deploying to production only twice per month through a manual, error-prone release process. Each deployment required a 4-hour maintenance window, and one in five releases resulted in a production incident requiring emergency rollback. The lack of automated testing and infrastructure consistency was crippling the team's ability to ship features and respond to customer issues.

AWS CodePipelineECSTerraformCloudWatch

DevOps Transformation: From Monthly Releases to Continuous Deployment

PayStream Financial

PayStream's engineering team of 45 developers was shipping code once a month through a manual, error-prone release process. Deployments required a 6-hour maintenance window, a 12-person war room, and frequently resulted in rollbacks. The lack of automated testing meant bugs were caught in production, and the absence of infrastructure-as-code created configuration drift across environments. Developer velocity was declining as the team spent more time on operational firefighting than building features.

AWS ECS FargateTerraformGitHub ActionsDocker

Serverless Data Pipeline & Real-Time Analytics on AWS

Velocity Analytics Inc.

Velocity, a B2B analytics platform processing 500M+ events daily, was running a fragile on-premise ETL pipeline that took 8 hours to produce daily reports. Data latency meant customers were making decisions on stale information. Infrastructure costs were escalating with every new client onboarding, and the engineering team spent 40% of their time on pipeline maintenance rather than product development. The company needed a scalable, real-time data architecture that could grow with their client base while integrating processed insights back into Salesforce for their customer success team.

AWS LambdaAmazon KinesisAmazon RedshiftAmazon S3

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