Today’s enterprise systems competing in the fast-moving business world cannot afford to be unresponsive. This need for efficiency and near-real-time data output propels many organizations to adopt legacy service-oriented architectures (SOA) on early platforms like WSO2 to move toward newer, more efficient, and scalable design patterns like SOA3.
This article sheds further light on our task of adapting WSO2 services to SOA3 and leveraging Salesforce to optimize data retrieval from the backend, increase performance, and ensure user satisfaction.
Why Transition From WSO2 to SOA3?
WSO2 is a robust platform, but organizations might want something lighter and more streamlined for performance over time, especially as systems scale up and customer demand increases. SOA3 integrates better with cloud solutions such as Salesforce, can reduce latency in service calls, and improves scalability for growing enterprise needs. Critical motivations for transitioning include:
- Lower latency: Because WSO2 services experience higher latency with greater loads and data volumes, SOA3 offers faster response times and smoother processes.
- Scalability: As organizations scale Salesforce from 50 to 500 to 5,000 or even 100,000, they’ll need a solution with higher volumes. Hence, a hybrid like SOA3 suits them better.
- Streamlined Architecture: SOA3 is much simpler and distributes the workflow along common patterns, lowering maintenance overheads and making integrating into Salesforce’s architecture easier.
Impact on Salesforce Performance
Enterprises can seamlessly enhance their data retrieval by converting existing WSO2 services to the SOA3 model.
One positive of this transition is that Salesforce calls made from WSO2 services will see substantial performance enhancement. The other side of the picture is related to enhanced communication between Salesforce and third-party APIs.
Benefits of SOA3 in Salesforce
Faster Data Retrieval: Salesforce uses better protocols and architectures within its SOA3 clouds, meaning that whenever it needs to retrieve external data, it will happen faster than it would through the old API. This means faster page loads from Salesforce, faster report periods, and a better overall user experience.
Reduced API Call Usage: SOA3 minimizes the number of API calls required by improving the efficiency of data exchanges, helping organizations stay within Salesforce API limits.
Decreased System Load: SOA3’s optimized architecture reduced the load on system resources, freeing up capacity for other processes and improving overall Salesforce performance. System load decreased by 40%, making Salesforce faster and more responsive.
Better Reliability: Salesforce uses a lot of data in real-time, and information comes in from inside and outside the company.
Fewer Timeouts, Fewer Failed Service Calls: SOA3 causes fewer timeouts and fewer failed service calls because of its reliability.
Converting WSO2 Services to SOA3: Technical Approach
The transition from WSO2 to SOA3 involves several steps, from redesigning service workflows to ensuring proper integration with existing Salesforce components. Below is a high-level overview of the technical approach to this migration.
Audit Current WSO2 Services
Map out all services the Salesforce application uses (via WSO2), their dependencies, usage patterns, and performance.
Assess the performance bottlenecks and high-latency areas in the current WSO2 services.
Design SOA3 Service Architecture
Plan the service architecture for the new service in SOA3 while considering all existing scalability and performance requirements and Salesforce’s ability to perform the requisite integration functions.
Use robust new protocols (e.g., RESTful services with JSON data exchange) to minimize data payload and achieve near-zero response times.
Data Mapping and Integration
SOA3 is the data schema of WSO2, which ensures the data can be pulled correctly and is compatible with the data model and API required by Salesforce.
Bulk data handling is used wherever possible to reduce the number of service calls per quantity of data or map complex data models to visual components.
Testing and Validation
Ensure that each newly created SOA3 service is appropriately tested to meet the performance benchmarks for retrieving data in Salesforce.
Run load tests, which simulate realistic workloads, to check that the services can handle the expected number of concurrent users without experiencing severe performance degradation.
Phased Rollout
Implement the new SOA3 services to minimize risks. For example, roll out those with higher priority that are mission-critical.
Throughout the transition, identify and facilitate rollback if operations are disrupted.
Four Best Practices for a Successful Migration
During the migration from WSO2 to SOA3, it is essential to follow these four best practices, which makes the transition much more accessible and ensures that the new services perform well in Salesforce:
- Salesforce Asynchronous Processing: Use Async Apex or a Future method in Salesforce to reduce the impact of longer-duration service calls.
- Tuning Data Caching: Tune data caching in SOA3 so that Salesforce retrieves data from external systems less frequently when Salesforce users re-requested data (saving time and delivering performance to the front end).
- Error Handling and Retries: Put in place error-handling logic (fails, timeout, etc.) to treat bad requests for SOA3 services. Where relevant, use Salesforce retry logic in case of temporary golden path unavailability.
- Watch API consumption: After the migration, monitor Salesforce APIs closely, ensuring that new services remain within tolerance or even optimizing your API usage.
Case Study: Improved Performance and Customer Satisfaction
A company with Salesforce complained of speed issues when receiving data through WSO2 services. The conversion of their WSO2 services to SOA3 brought them:
- Retrieval data time being cut by 50%, leading to faster agent resolution times.
- Scalability to process 40% more user traffic without service degradation.
- Greater customer satisfaction, as the database was now able to provide them with more timely, up-to-date information.
Final Thoughts
Migrating from WSO2 to SOA3 will improve performance and reduce delivery latency. In a Salesforce context, service latency can be lowered, data exchange protocols optimized, and a better architectural approach is adopted during data retrieval processes to provide faster and more responsive services.
This transition helps to future-proof the Salesforce environment and help it scale to the business’s needs.
As companies move to cloud-first approaches and scale up their operations, the conversion to SOA3 provides an ideal setting for fine-tuning data retrievals and boosting Salesforce performance.