Enterprises that rely on monolithic backends struggle to handle sudden traffic spikes, parallel feature development, and independent deployments. A single update can force full redeployments, causing downtime and slowing teams. As usage grows across web, mobile, and APIs, performance becomes unpredictable and scaling becomes expensive.

Codewave breaks these systems into microservices and event-driven serverless functions, deployed using Docker, Kubernetes, and cloud runtimes such as AWS Lambda, Azure Functions, and Google Cloud Functions. Each service scales independently, rolls out without downtime, and automatically absorbs traffic bursts.

With decentralization, businesses ensure high availability without performance drops. Codewave reduces latency by up to 50%, ensuring seamless scalability even during peak demand.

Example: A growing SaaS provider will adopt microservices architecture and Kubernetes orchestration to dynamically scale backend services, enabling them to handle 2x traffic growth without performance degradation.

Sales, support, and marketing teams depend on CRM systems to manage customer data and engagement. Older CRMs often store incomplete profiles, lack real-time sync, and require manual reconciliation between tools. This causes delays, inconsistent customer context, and missed opportunities across the lifecycle.

Codewave builds custom CRM backends using Node.js, Express, event queues, and cloud functions that unify customer data and automate core workflows like segmentation, follow-ups, routing, and reporting. Integrations with ERP, e-commerce, and support platforms provide context directly where teams operate.

With a unified backend, departments share accurate data, customer issues are resolved faster, and personalization becomes easier. This leads to higher satisfaction and lifetime value.

Example: A leading retail enterprise will integrate a custom backend CRM system with its existing e-commerce platform. This will allow customer service teams to instantly access customer data, respond faster to queries, and deliver personalized support. As a result, customer satisfaction and loyalty will increase, thereby improving lifetime value.

Modern products rely on external APIs for payments, KYC, shipping, analytics, and partner integrations. When APIs are slow, unauthenticated, or inconsistent, customers experience timeouts, partners face integration headaches, and roadmaps slow down.

Codewave develops REST and GraphQL APIs with Redis caching, OAuth 2.0 authentication, rate limiting, and pagination. We optimize queries, implement connection pooling, and use event-driven communication where synchronous calls slow the system.

APIs become reliable building blocks that other teams, partners, and systems can trust. Our API optimization reduces response times by up to 40% and improves integration speed, accelerating your business’s ability to innovate and expand.

Example: An e-commerce platform will implement GraphQL APIs integrated with Redis caching to boost transaction speed and improve integration with third-party payment systems, resulting in faster checkout experiences for users.

Product demand changes throughout the year, but fixed infrastructure cannot grow or shrink without manual intervention. Legacy deployments lack CI/CD, autoscaling, blue-green deployments, and secure secrets management, forcing teams to deploy at night, freeze releases, or scale blindly.

Codewave builds cloud-native infrastructure using AWS, Azure, or GCP, with autoscaling groups, identity and access controls, managed databases, and IaC via Terraform. CI/CD pipelines handle build, testing, and deployment, while logging and monitoring tools track performance in real time.

Operations become predictable, deployments become low-risk, and infrastructure adjusts to traffic, improving uptime and lowering spend.

Example: A large financial services company will migrate to AWS with auto-scaling to handle unpredictable surges in transactions, reduce infrastructure costs, and improve system response times.