When it is already part of your Salesforce stack and the workloads are integration, Heroku Connect, or Postgres-backed apps. For greenfield projects, we will tell you whether AWS, GCP, or staying on Heroku is the right call.
Yes, but only for data and integration use cases. We do not build customer-facing web apps as our main work.
Usually yes. Most Heroku bills have 20 to 40 percent wasteful Dynos or unused add-ons. We profile and right-size as part of the engagement.
Focused work runs 4 to 8 weeks. A full Heroku Postgres architecture rebuild or Heroku Connect operation typically runs 8 to 14 weeks.
We design Postgres schemas for Salesforce-adjacent workloads, including read replicas, partitioning, and retention policies.
We design and operate Heroku Connect bidirectional syncs with proper conflict resolution and observability.
When MuleSoft is overkill or the wrong fit, we build small Node, Python, or Ruby apps on Heroku for specific integration jobs.
Most Heroku bills have wasteful Dynos and unused add-ons. We profile, deprecate, and right-size.
We move Heroku Postgres data into Snowflake, BigQuery, or Databricks for analytics.
For orgs combining Heroku data with Salesforce Data Cloud, we design the boundary so each layer does what it does well.
We do Heroku for data, integration, and Salesforce-adjacent jobs. Not generic web apps.
Heroku costs sneak up. We profile and right-size as part of every engagement.
We will tell you when AWS, GCP, or just running it elsewhere is the better call.
We design Heroku architecture knowing it sits in a Salesforce stack, not in isolation.
When the integration work outgrows what is right to do on Heroku.
Heroku consulting: Heroku is where most Salesforce orgs end up running custom integration apps and ...
A general-purpose Heroku app development shop. We focus on data and integration use cases.
Connecting Heroku data into your reporting and warehouse adds integration.
Re-platforming or modernizing differs from optimizing what runs today.
You run apps on Heroku and need them optimized, scaled, or integrated with your data.
You need the central data foundation built: see Data Foundation.
Your bigger issue is cloud and AI spend: see Cloud & AI Cost Optimization.
You need integration across many systems: see MuleSoft Consulting.
Heroku is where most Salesforce orgs end up running custom integration apps and data workloads. We help teams use Heroku for the things it is good at, like Postgres and Heroku Connect, without paying for things they do not need.
Heroku consulting helps teams run data and integration workloads on Heroku without overpaying for capacity they do not need. Heroku is where most Salesforce orgs end up running custom integration apps and data workloads. Thinklytics helps you use it for what it does well, like Postgres and Heroku Connect, and skip the rest.
Start with an Analytics Truth Audit. We review your Heroku usage, identify waste and architectural gaps, and give you a prioritized fix list.