Ensuring APIs Scale to Meet Peak Demands

Many businesses face incidental and seasonal peaks in demand, but customers are unforgiving – they expect top service and ultra-fast responses at all times.

One way to meet demand is to maximize the performance of APIs – after all, itโ€™s APIs that enable the communication and integrations between apps, and deliver the data that ensures they are always up to date.

API scaling increases the capacity of the API so it can handle more requests and prevent overloading specific endpoints
 
Some of the challenges in scaling APIs include:

  • APIs created over legacy systems are not always scalable, due to the limitations of the underlying systems.
  • Data is often stored in a legacy databases that were never designed to support high-performance applications.
  • Ensuring data integrity and consistency, especially in distributed systems where data is spread across multiple servers.
  • Ensuring API security, resilience and error handling.

Smart DIH enables API scaling by overcoming these constraints: it decouples applications from diverse and disparate SoRs and replicates operational data into a low-latency, high-performance layer that continuously supplies digital applications with fresh data in real-time.

Learn More about API Scaling

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How does Smart DIH enable business continuity throughout the legacy modernization process?

Scalability

APIs are built over Smart DIHโ€™s scalable data platform, scaling up and out when required.

Load balancing

In memory data grid supports API scaling and load balancing, ensuring that messages are distributed evenly across multiple nodes or containers, offering high throughput and scalability.

Automatic failover

Smart DIH provides automatic failover and recovery to ensure highly availability and resilience.

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