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DevOps & Automation

CI/CD, infrastructure as code, and automated deployments across all platforms.

We implement DevOps practices that accelerate your development velocity — from CI/CD pipelines and infrastructure-as-code to automated testing, monitoring, and deployment strategies. Our approach spans Salesforce DX, AWS, Google Cloud, and hybrid environments.

4Capabilities
2Specialized Services
What We Deliver

Our Capabilities

01

CI/CD Across All Platforms

Build automated deployment pipelines for every platform in your stack — Salesforce orgs, AWS infrastructure, Google Cloud services, and web/mobile applications. We design pipelines that enable rapid, safe releases.

  • Salesforce DX — scratch orgs, source-driven development, CI/CD
  • GitHub Actions, GitLab CI, and Jenkins pipeline design
  • AWS CodePipeline and CodeBuild for cloud deployments
  • Google Cloud Build and Cloud Deploy
  • Multi-environment promotion (dev → staging → production)
AWSGoogle CloudSalesforce
CI/CD Across All Platforms
02

Infrastructure as Code

Define and manage your entire infrastructure as code — repeatable, version-controlled, and auditable. We use Terraform, CloudFormation, CDK, and Pulumi to automate infrastructure provisioning and configuration.

  • Terraform for multi-cloud infrastructure management
  • AWS CloudFormation and CDK for AWS-native IaC
  • Google Deployment Manager and Config Connector
  • Module libraries for reusable infrastructure patterns
  • Drift detection and compliance automation
AWSGoogle Cloud
Infrastructure as Code
03

Automated Deployments & Monitoring

Implement deployment strategies that minimize risk and maximize uptime — blue/green, canary, and rolling deployments with automated rollback. Combined with comprehensive monitoring and alerting.

  • Blue/green and canary deployment strategies
  • Automated rollback on failure detection
  • CloudWatch, Datadog, and Grafana for observability
  • Log aggregation and centralized monitoring
  • Incident response automation and runbooks
AWSGoogle Cloud
Automated Deployments & Monitoring
04

Salesforce DevOps (SFDX)

Bring modern DevOps practices to your Salesforce development. We implement source-driven development with Salesforce DX, scratch orgs, package-based development, and automated metadata deployment pipelines.

  • Salesforce DX project setup and scratch org strategy
  • Source-driven development with Git version control
  • Unlocked and managed package development
  • Automated metadata deployment with validation steps
  • Salesforce CLI automation and custom plugins
Salesforce
Salesforce DevOps (SFDX)
Case Studies

DevOps & Automation Success Stories

See how we've delivered measurable results with devops & automation.

DevOps Transformation: From Monthly Releases to Continuous Deployment
Monthly → 12x/day
Deployment Frequency
FinTech

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
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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
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Multi-Cloud Digital Transformation for a Global Enterprise
$18M annually
Technology Cost Savings
Enterprise

Multi-Cloud Digital Transformation for a Global Enterprise

Ascendant Holdings Group

Ascendant, a diversified industrial conglomerate with $8B in revenue across manufacturing, logistics, and professional services divisions, operated 7 different CRM systems, 12 ERP instances, and hundreds of departmental point solutions. Customer data was fragmented across divisions, cross-selling was nearly impossible, and the company was spending $40M annually on technology maintenance with minimal innovation. The board mandated a three-year digital transformation to unify the technology landscape, enable data-driven decision-making, and build a foundation for AI-powered operations.

Sales CloudService CloudMarketing CloudData Cloud
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