Alpina Tech builds and manages applications on Heroku for teams that want to ship features without managing infrastructure. We handle app configuration, pipeline setup, add-on integration, and performance optimization β so your developers focus on code while Heroku handles the platform.
Application Deployment & Configuration
We deploy and configure Heroku apps for production:
- Buildpack selection and configuration β official and custom buildpacks for Node.js, Python, Ruby, Go, Java, PHP, and multi-language stacks
- Dyno type selection β Eco for staging, Basic for low-traffic apps, Standard and Performance for production workloads
- Environment variable management with Heroku Config Vars and secure credential handling
- Procfile configuration for web, worker, and clock processes
- Custom domain setup with automated SSL certificate management via ACM
Heroku Pipelines & Review Apps
We build deployment workflows that match your teamβs release cadence:
- Pipeline stages β development, staging, and production with manual or automatic promotion
- Review Apps that spin up automatically for every pull request with isolated databases
- GitHub integration with automatic deploys on merge to main
- Release phase scripts for database migrations and pre-deploy checks
- Heroku CI for running test suites before promotion through pipeline stages
Add-On Integration & Managed Data
Herokuβs add-on ecosystem extends your app without provisioning separate services:
- Heroku Postgres β managed PostgreSQL with follower databases, connection pooling via PgBouncer, and continuous protection
- Heroku Data for Redis β managed Redis for caching, sessions, and background job queues
- Logging add-ons β Papertrail, Logentries, or Coralogix for centralized log management
- Monitoring β New Relic, Scout APM, or AppSignal for application performance tracking
- Scheduler and worker add-ons for background job processing and cron-like tasks
Performance Scaling & Optimization
We tune Heroku apps for production traffic:
- Horizontal scaling with dyno formation adjustments and autoscaling on Performance dynos
- Worker process configuration for background jobs (Sidekiq, Celery, Bull)
- Database connection pooling and query optimization for Heroku Postgres
- Asset delivery optimization with CDN offloading for static files and media
- Memory and CPU profiling to right-size dyno types and eliminate waste
Migration to Heroku
We migrate applications from other platforms:
- AWS, GCP, or VPS migration β packaging applications with Heroku buildpacks and adapting for the Heroku runtime
- Docker-based migration using Heroku Container Registry for apps that donβt fit standard buildpacks
- Database migration to Heroku Postgres with pg_dump/pg_restore and replication-based cutover
- DNS transition with zero-downtime strategy
- Add-on mapping β replacing self-managed Redis, logging, and monitoring with Heroku add-ons
We also handle migrations away from Heroku when teams outgrow the platform.
How We Approach Heroku Projects
Stack Assessment We evaluate your application runtime, dependencies, and data requirements. Heroku supports most web stacks natively β we confirm buildpack compatibility and identify any platform constraints before deployment.
Pipeline & Environment Setup We configure the full pipeline: development, staging, and production apps with review apps for pull requests. Each environment gets appropriate dyno types, database plans, and add-ons.
Deploy & Validate Applications deploy through the pipeline with release phase checks. We validate performance, database connectivity, and add-on integrations at each stage before production promotion.
Optimization & Handoff We right-size dynos based on load testing, configure autoscaling rules, and document the deployment workflow. Your team receives pipeline access, runbooks, and clear procedures for scaling and troubleshooting.
Technology Stack on Heroku
Runtime & Deployment
- Heroku Dynos β managed containers for web, worker, and one-off processes
- Buildpacks β language-specific build and runtime configuration
- Heroku Pipelines β multi-stage deployment workflows with review apps
- Heroku CI β continuous integration integrated with pipeline promotion
Data & Storage
- Heroku Postgres β managed PostgreSQL with continuous protection and followers
- Heroku Data for Redis β managed Redis for caching and queues
- Amazon S3 β file and media storage via add-on or direct integration
- Heroku Connect β Salesforce data sync for enterprise applications
Monitoring & Operations
- Heroku Metrics β built-in dyno performance and throughput dashboards
- Papertrail β centralized log aggregation and search
- New Relic / Scout APM β application performance monitoring
- Heroku Scheduler β cron-like task scheduling for periodic jobs
Business Benefits
- Fastest path from code to production β git push heroku main deploys your application. No Dockerfiles, no server configuration, no CI/CD pipeline to build. Heroku handles builds, releases, and routing automatically.
- Review Apps for every pull request β every PR gets its own deployed environment with isolated data. Designers, PMs, and QA review changes on a live URL before merging β no local setup needed.
- Managed data services β Heroku Postgres and Redis include automated backups, failover, connection pooling, and monitoring. No DBA required for production-grade database operations.
- Add-on ecosystem β 200+ add-ons for logging, monitoring, email, search, and caching integrate with a single command. Replace weeks of infrastructure setup with provisioned, managed services.
- Team-friendly operations β the Heroku Dashboard lets non-technical team members view logs, restart dynos, and manage config vars. Pipeline promotion is a single button click from staging to production.
- Predictable scaling model β scale horizontally by adding dynos or vertically by upgrading dyno types. Autoscaling on Performance dynos adjusts capacity based on response latency and request queue depth.
Page Updated: 2026-03-11






