Reducing an E-commerce API from 10s to Under 1s
Performance work starts with humility. When an API endpoint takes around 10 seconds, the first instinct is often to rewrite the obvious function. That is rarely the best first move.
Read moreDocker Compose is sometimes dismissed as a development-only tool. For many small and medium ERP teams, it can be much more useful than that when it is applied with discipline.
The value is not in pretending Compose replaces a full orchestration platform. The value is in making environments explicit, repeatable, and understandable.
ERP systems are sensitive to differences between environments. A module may work locally and fail in staging because a worker is missing, a file path is different, a proxy header is not set, or PostgreSQL has a different extension or version.
Compose helps by making the shape of the system visible:
When developers and operators share the same mental model, debugging gets faster.
A practical structure is to keep a base Compose file and layer environment-specific files on top. Development can expose ports and mount source code. Testing can use isolated databases and deterministic services. Production-like environments can use named volumes, stricter restart policies, external networks, and real proxy configuration.
This keeps the stack consistent without forcing every environment to behave exactly the same.
In ERP systems, the database is the product memory. Containers can be rebuilt. Images can be pushed again. Source code can be checked out. Data loss is different.
A serious Compose setup needs clear decisions for:
Moving large attachments to object storage such as S3 can simplify backups and reduce pressure on local disks, but it also requires clear failure handling and monitoring.
Compose also helps CI/CD pipelines because it can start the same supporting services used by the application. Tests can run against a real PostgreSQL service. Linters and pre-commit checks can run before Docker images are built. Deployment scripts can become shorter because image creation, tagging, and service startup are standardized.
A useful pipeline usually checks:
Compose is not the answer to every infrastructure problem. If the team needs automatic scheduling across many hosts, advanced autoscaling, complex service discovery, or large multi-region operations, another platform may be justified.
But many ERP environments do not fail because they lack Kubernetes. They fail because deployments are manual, backups are unclear, local environments drift, and production behavior is poorly documented.
Fix those first. Docker Compose can be a strong foundation when the team treats it as infrastructure code, not as a temporary convenience.
Performance work starts with humility. When an API endpoint takes around 10 seconds, the first instinct is often to rewrite the obvious function. That is rarely the best first move.
Read moreOdoo work is often described as ERP customization, but the strongest projects quickly become platform engineering problems. A serious implementation touches database design, integrations, queues, file storage, deployments, monitoring, security, and operational support.
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