contact@itechcloudsolution.com +91 997 9933 595 +91 972 6015 295
209-210-211, Western Plaza, Simada Naka, Surat, Gujarat, India 395006.
iTechCloud Solution
Book a call→
Home About Services SF Clouds Solutions Industries Insights Customer Stories Partners & Certifications Events Careers Book a call
Services · Middleware & Heroku

Scale beyond the platform, without leaving it.

Custom middleware and microservices on Heroku that extend Salesforce past its limits: heavy compute, custom APIs, real-time processing, and elastic scale, all natively connected to your org.

Heroku + Salesforce architecture done right.
Outcomes our clients see
No limits
Compute beyond the org
Real-time
Heroku Connect sync
Elastic
Autoscaling by design
Native
Salesforce-connected
Since 2017
10+ years of delivery
200+
Projects delivered
100+
Salesforce certifications
5
Regions served
The challenge

Some jobs the core platform just can't do.

Governor limits, heavy compute, and high-volume processing hit a ceiling inside Salesforce. Bolting workloads onto the org degrades performance for everyone. Heroku gives you elastic compute and full-stack freedom, connected natively through Heroku Connect and Salesforce Functions, without breaking the trust boundary.

✕
Hitting governor limits
Heavy compute and big batches choke inside the org.
✕
No home for custom services
Custom APIs and apps have nowhere native to run.
✓
Elastic compute, natively linked
Heroku scales the heavy lifting, synced to your data.
Sound familiar? If any of these ring true, let's architect it.
?

Batch jobs or callouts routinely hit governor limits.

?

You need heavy compute, ML, or data processing near Salesforce.

?

A custom API or app has nowhere native to run.

?

High-volume sync between Salesforce and a database is a struggle.

?

Real-time event processing outgrew Platform Events alone.

?

You want elastic scale without compromising the org’s trust boundary.

What we do

Middleware & Heroku, engineered to scale.

Custom services, integrations, and apps on Heroku, natively connected to Salesforce and built for volume.

Custom Middleware

Bespoke integration and orchestration services that sit between Salesforce and your systems, built to scale.

Microservices & APIs

Purpose-built REST/GraphQL services on Heroku for logic and workloads the org can’t host.

Heroku Connect & Postgres

Bi-directional, near-real-time sync between Salesforce objects and Heroku Postgres.

High-Volume Processing

Batch, ETL, and event pipelines that crunch millions of records off-platform.

Data & AI Workloads

Compute-heavy AI, ML, and analytics jobs powered by Heroku and connected to your data.

DevOps & Reliability

CI/CD, monitoring, autoscaling, and security hardening for production-grade services.

Our stack

The tech we build on.

Heroku Heroku Connect Heroku Postgres Node.js Python Java / Spring Redis Apache Kafka Salesforce APIs Docker GraphQL CI/CD
Our method

Architecture first, then scale.

01
01

Assess

Identify which workloads belong off-platform and why.

02
02

Architect

Design services, data sync, and the Salesforce trust boundary.

03
03

Build

Engineer middleware and APIs with tests and observability.

04
04

Connect

Wire up Heroku Connect, events, and secure API links to the org.

05
05

Scale & Operate

Autoscaling, monitoring, and support for production reliability.

What you get

Scalable services, cleanly connected.

Deployed Services

Production-grade middleware and APIs running on Heroku.

Live Data Sync

Heroku Connect or event-based sync keeping Salesforce and Postgres aligned.

Architecture & Runbooks

Documented design, security model, and operational runbooks.

CI/CD & Monitoring

Automated pipelines, alerting, and autoscaling configured.

The iTech difference

Heroku that respects the Salesforce boundary.

iTech Heroku
Generic cloud dev
Salesforce sync
Heroku Connect / events
Manual API glue
Trust boundary
Respected by design
Often violated
Scale
Elastic autoscaling
Fixed & fragile
Observability
Monitoring + alerting
Blind in prod
Salesforce fluency
Both worlds
Cloud-only
Engagement packages

From a spike to a platform.

Start with an architecture spike, or build a full Heroku platform alongside your org.

Architecture Spike

Validate the approach

Workload assessment
Target architecture
Data-sync design
Estimate & roadmap
Talk to us
Popular

Build & Connect

Ship a scalable service

Everything in Spike
Middleware / API build
Heroku Connect setup
CI/CD & monitoring
Talk to us

Heroku Platform

Multiple services at scale

Everything in Build & Connect
Multi-service platform
Autoscaling & DevOps
Ongoing support
Talk to us
Why iTechCloud

Engineers fluent in both worlds.

Salesforce + Heroku fluent

We speak both platforms, org architecture and full-stack cloud engineering.

Architecture-led

We design the trust boundary and data flow before writing a line of code.

Five-region coverage

Follow-the-sun delivery across USA, UK, Europe, Middle East, and APAC.

Production-grade

CI/CD, monitoring, and autoscaling so services stay reliable at scale.

Credentials

Certified where it counts.

100+
Certifications held
12
Certified architects
6
Cloud specialties
Select
Salesforce Partner
CSAT 4.9
Average engagement score
ISO 27001
Security certified
FAQ

Middleware & Heroku, answered.

When workloads exceed the platform: heavy compute, high-volume batch/ETL, custom apps and APIs, ML, or real-time processing. Heroku gives you elastic, full-stack freedom while staying natively connected to your Salesforce data.
Primarily via Heroku Connect, which provides bi-directional, near-real-time sync between Salesforce objects and Heroku Postgres. We also use Platform Events, Change Data Capture, and secure APIs for event-driven flows.
No: we architect around the trust boundary: least-privilege API access, encryption, and clear data governance. Sensitive logic and data stay protected, and the design is documented for your security team.
Custom middleware, microservices and APIs, high-volume data pipelines, AI/ML workloads, and full custom applications, in Node.js, Python, Java, and more, backed by Postgres, Redis, and Kafka.
An architecture spike runs 2–3 weeks; a build-and-connect engagement 6–12 weeks; multi-service platforms are ongoing. We deliver in sprints so value lands early.
Yes: CI/CD, monitoring, autoscaling, and ongoing support keep services reliable, and many clients fold Heroku into a managed-services pod for continuous care.

Let's give your org room to grow.

Book a free architecture session. We'll pinpoint what belongs on Heroku and design a scalable, native-connected solution.