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Back End Development Services for Your Platform
Connect product logic, data, and external systems with DigiWeta’s back end development services. Define architecture, APIs, validation, and operating responsibilities before building and testing the agreed scope.
- Access review
- Assessed scaling needs
Plan Your Back-End Project
Which backend task is next?
Backend Uses Across Product Work
Build APIs, services, data workflows, and access controls around your product requirements, including staged enterprise modernization.
Define service ownership, messages, and failure handling around business tasks. Test ordering, duplicate requests, and partial completion before expanding independently deployed services.
REST and GraphQL APIs
Define API inputs, permissions, versions, and errors. Test complete consumer workflows and provider failures against agreed operating targets.
Data and ETL Workflows
Validate and move approved data through defined transformations. Assign source ownership, update rules, and recovery for rejected or incomplete records.
Identity and Access Controls
Define verified identities, permissions, and access review across services. Test authorization boundaries, role changes, and revocation.
Legacy Upgrades
Assess existing logic and dependencies before modernization. Compare staged improvements with replacement, then test migrations and recovery.
Billing and Payment Flows
Scope provider connections, records, and review for billing workflows. Involve appropriate specialists before consequential financial operations.
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Backend Architecture
Data, APIs, and Operations
Map product tasks, data ownership, dependencies, and operating needs before choosing the backend design.
Define testable service targets and release responsibilities. Validate complete workflows and failure handling, with monitoring and recovery documented for operators.
Architecture First Planning
Map domain responsibilities, dependencies, and operating requirements first. Use targeted prototypes and stress testing to evaluate uncertain assumptions before expanding the implementation.
- Map domain rules, data ownership, and service responsibilities. Define transaction boundaries and validate them against the business workflow.
- Agree measurable performance, availability, access, and recovery requirements. Test relevant load and failures against those criteria.
- Document architecture options, assumptions, and consequences so future changes can be reviewed in context.
- Define synchronous and asynchronous contracts, retries, ordering, and uncertain outcomes before connecting services.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Technology Stack Selection
Compare runtimes, frameworks, and data stores against the workload, team skills, and maintenance costs. Record trade-offs and test uncertain choices rather than assuming one stack fits every product.
- Compare runtimes against concurrency, throughput, ecosystem support, and team capabilities. Validate the intended workload.
- Choose frameworks that fit the application and operating team, with clear module boundaries and testable behavior.
- Match data-store consistency and access patterns to business rules. Test queries, partitioning, and caching assumptions.
- Version infrastructure and release configuration with appropriate tests and review. Avoid adding orchestration complexity without a clear need.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Data Layer and Caching
Model data around actual rules and access patterns. Test constraints, queries, migrations, and caching behavior against the workload before optimizing.
- Define keys, relationships, constraints, and migration behavior. Test concurrent updates and recovery limits before changing stored data.
- Evaluate nonrelational designs against access patterns, consistency, and operating costs. No data model guarantees unlimited scale.
- Define cache ownership, freshness, invalidation, and access boundaries. Test repeated load and stale-data behavior.
- Map source lineage and event handling in data workflows. Validate replay and reconciliation before downstream use.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
API and Integration Strategy
Make consumer expectations explicit. Define inputs, versions, limits, and errors, then test compatibility and failures before releases or partner onboarding.
- Define schemas, versions, errors, and retry behavior with consumers. Test contracts and document supported operations.
- Use appropriate identity and authorization controls, then test access boundaries, role changes, and revocation.
- Review compatibility and deprecation plans before changes. Consumer tests support assessment but cannot guarantee every integration remains unaffected.
- Define partner limits, test environments, and incident ownership. Provide accurate interface documentation and examples.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Cloud, DevOps, and Automation
Version build and deployment configuration with relevant tests. Agree release checks, operating ownership, and recovery limits so changes remain reviewable.
- Automate relevant code, application, and dependency checks. Keep artifacts and promotion decisions traceable.
- Version environment configuration and review changes to services, networking, and secrets. Test deployment and recovery.
- Assess staged rollout methods against application risks. Document what a software rollback cannot undo.
- Monitor useful logs, metrics, and traces with suitable access and retention. Assign actionable alerts to operators.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Security, Compliance, and Governance
Define access, sensitive information, dependencies, and consequential actions early. Test suitable controls and have qualified specialists assess requirements for the actual application.
- Map threats and apply suitable development checks. Inspect findings and review secret and identity handling.
- Define data recipients, access, encryption, and retention around the workflow. Test sensitive-data exposure risks.
- Have qualified stakeholders assess applicable requirements and evidence. Controls or scans alone do not establish compliance.
- Restrict infrastructure and service access according to role and task. Review configuration and test important boundaries.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Performance Engineering and Cost Control
Measure important requests and workload costs before optimizing. Compare improvements against service targets and data behavior rather than promising fixed speed or spend.
- Measure critical request paths with representative data. Investigate queries, locks, and network dependencies before optimizing.
- Test expected demand and failure conditions, including timeouts and repeated requests, with explicit recovery criteria.
- Compare capacity and runtime changes against service targets, data behavior, and operating effort.
- Track infrastructure, storage, and provider costs by workload. Review changes against actual demand rather than assumed savings.
TECH STACK :
Socket.io
Redis Pub/Sub
Node.js Cluster
Nginx
PostgreSQL
Bull MQ
Build Backends Around Real Operating Needs
Unclear data ownership, interfaces, and operating needs create backend complexity. Define them early and test core tasks and failures before adding services or integrations.
DigiWeta scopes backend implementation around agreed acceptance criteria. Document release, monitoring, and handover duties so the team can assess readiness and maintain the system after launch.
Technology Fit
Select runtime and data options around the workload, team, and operating constraints. Review frontend contracts and integration needs before committing. Document why a choice fits the product and what would need to change as requirements evolve.
Operating Requirements
Define service targets and recovery needs before implementation. Test representative requests, demand, and failures. Use results to choose infrastructure and priorities rather than treating scaling features as proof that requirements are met.
Data Model Review
Map business rules, relationships, and access patterns before designing storage. Test queries, constraints, and changes with representative data. Define analytics and integration needs without assuming every workload belongs in the same store.
API Contracts and Changes
Agree input, output, version, permission, and failure behavior with consumers. Test compatibility and document deprecations. Define ownership for partner failures and uncertain updates instead of relying on retries alone.
Release and Operating Work
Version deployments and automate relevant checks. Review migrations, dependencies, and recovery limits before rollout. Agree incident and maintenance duties with operators so the application can be supported after handover.
Early Security Review
Map data, identities, and access requirements early. Test appropriate controls during development and inspect relevant findings. Qualified stakeholders should assess applicable obligations for the intended deployment.
Actionable Monitoring
Collect relevant service signals with suitable access and retention. Define alerts, investigation steps, and owners for unresolved incidents. Use operating evidence to guide changes rather than treating a dashboard as proof of reliability.
Shared Team Ownership
Agree interfaces and responsibilities across backend, frontend, and operations. Keep decisions, tests, and handover documented. When adding expertise, define scope and review expectations so additional capacity supports the team’s actual workflow.
Choose Delivery Support for Back-End Delivery
Match backend support to scope and team capacity. Agree reviews, costs, and handover for platform delivery, modernization, or embedded expertise.
Complete Platform Delivery
Plan, build, test, and hand over the platform.
Best For
- New platforms or major rebuilds
- Governed initiatives
- Defined release scope
Advantages
- Clear delivery ownership
- Architecture tied to product needs
- Measured task outcomes
System Modernization
Test staged system improvements.
Best For
- Staged service changes
- ERP, CRM, provider connections
- Cloud deployment changes
Advantages
- Reviewed phased delivery
- Tested interfaces and contracts
- Assessed project value
Embedded Backend Team
Add expertise alongside your team.
Best For
- Roadmaps and backlogs
- Internal platform work
- Testing and upkeep
Advantages
- Added team expertise
- Practical handover
- Agreed delivery milestones
SECTORS
Industry Workflows with
Back-End Development
Backend requirements vary by data, workload, and sector. Define access, interfaces, validation, and operating responsibilities with the people using the application. Involve qualified specialists where financial, clinical, or other consequential requirements apply.
OUR PROCESS
Our Back-End Delivery Stages
Move from defined requirements to tested services in reviewable stages. Agree acceptance criteria, document findings, and resolve dependencies before rollout. Plan operating ownership and handover alongside development.
Step 01
Scope and Architecture
Scope and Architecture
Map stakeholders, business rules, data, and dependencies. Define service targets, access needs, acceptance criteria, and a prioritized scope. Document architecture choices and unresolved assumptions before implementation.
Step 02
Build and Test
Build and Test
Build services and deployment workflows against agreed contracts. Test inputs, integrations, access, and failure handling through staged delivery. Review dependency findings and release criteria before exposure to users.
Step 03
Validate Operating Needs
Validate Operating Needs
Test workload and recovery scenarios against agreed requirements. Review access, secrets, and data handling with responsible stakeholders. Resolve relevant findings and document monitoring, incident duties, and operating guidance.
Step 04
Release and Maintain
Release and Maintain
Review release readiness and deployment state, then monitor important service signals. Agree post-launch support and change responsibilities. Use incidents, product findings, and costs to prioritize tested improvements.
ABOUT US
Your Back-End Development Partner
DigiWeta builds backend services around product logic, data responsibilities, and connected workflows. Define architecture, integrations, tests, and operating duties with your team before release and handover.
- Architecture and delivery aligned
- Scoped ERP, CRM, provider links
- Release and app testing
- Deployment choices for your needs
- Clear roadmap and criteria
Delivery Stages
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Backend Capabilities
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Frequently Asked Questions
Plan Your Next Backend Build
Discuss your product goals, data flows, integrations, and operating gaps with DigiWeta. Define a practical backend build scope and measurable acceptance criteria.