<p>In an era where innovation and execution are tightly interwoven, Veeravalli’s contributions offer a blueprint for what modern engineering leadership truly looks like.</p>
In an era where innovation and execution are tightly interwoven, Veeravalli’s contributions offer a blueprint for what modern engineering leadership truly looks like.

In today’s fast-paced business environment, organizations are constantly seeking ways to do more—more efficiency, more scalability, and more value—with fewer resources. As a technologist deeply embedded in the Salesforce ecosystem, ShivaKrishna Deepak Veeravalli, Salesforce Engineer – Business Technology at Benchling, Dublin, California, United States, says he has witnessed firsthand how businesses often hit roadblocks when their systems struggle to keep up with growing demands. The key to overcoming these challenges?

Asynchronous processing—a concept that might sound technical but is fundamentally about working smarter, not harder.

SKD Veeravalli, also a prominent scholar in the sector, is a seasoned technology leader known for pioneering advancements in Cloud and Enterprise CRM systems. With a strong foundation in architecting scalable, enterprise-grade solutions, he has played a critical role in driving operational efficiency, regulatory compliance, and business transformation across global organizations. As a Salesfroce Engineer at Benchling, he is based out of the San Francisco office, where his work continues to redefine the intersection of cloud architecture and business impact.

Veeravalli’s exploration of this topic began with a peer-reviewed study published in the International Journal of Scientific Research in Computer Science, Engineering and Information Technology (Jan 2025), titled “Leveraging Asynchronous Processing Tools in Salesforce: A Comprehensive Analysis.”

This research revealed that businesses leveraging asynchronous tools effectively saw 40% faster transaction times and 30% fewer system errors compared to traditional approaches. These findings underscore why asynchronous workflows aren’t just a technical nicety—they’re a business imperative.

Why Asynchronous Processing Matters for Modern Businesses

Imagine a restaurant kitchen. If chefs waited for each dish to be plated before starting the next, service would grind to a halt. Instead, they multitask—chopping vegetables while sauces simmer and steaks sear. Similarly, asynchronous processing allows CRM to handle multiple tasks simultaneously, ensuring critical operations run in the background while users continue their work uninterrupted.

For business leaders, this translates to systems that scale effortlessly, employees who stay productive, and customers who enjoy seamless experiences. Whether it’s processing millions of records, integrating with external platforms, or automating complex workflows, asynchronous tools empower organizations to tackle these tasks without sacrificing performance.

The Business Benefits of Going Asynchronous
Enterprise CRM Platforms offer a suite of asynchronous tools, each designed to address specific operational needs. Here’s how they translate to real-world business value:

Scalability Without Compromise
As customer data grows, so does the strain on systems. Traditional “one-task-at-a-time” approaches crumble under large datasets. Tools like Batch Processing break massive jobs into manageable chunks, enabling enterprises to process millions of records efficiently. This isn’t just about speed—it’s about maintaining system stability as your business expands.

Enhanced User Experience
Employees interacting with UI don’t want to wait for a spinning wheel. By offloading tasks like data updates or report generation to the background, tools such as Lightning Actions keep interfaces snappy. Users stay focused on high-value work, not system delays.

Future-Proof Integrations
Modern businesses rely on interconnected systems. Platform Events act as a universal translator, enabling real-time communication between CRM and external applications. For example, a logistics company could automatically notify its warehouse system the moment an order is placed, eliminating manual steps and reducing errors.

Cost-Effective Resource Management
Asynchronous processing optimizes server resources, reducing the risk of overloading systems during peak times. This efficiency isn’t just technical—it’s financial. By minimizing downtime and maximizing throughput, businesses lower operational costs while boosting output.

Choosing the Right Tool for the Job
Not all asynchronous tools are created equal. The right choice depends on your business needs:

  • Simple, one-time tasks: Think of sending confirmation emails after a purchase. Basic automation tools handle these effortlessly.
  • Complex workflows: Chaining tasks (updating customer records, then triggering a marketing campaign) requires more robust solutions.
  • Large-scale data operations: Migrating legacy data or running nightly analytics demands heavy-duty processing power.

The key is to align tools with outcomes. Overengineering a solution can lead to unnecessary complexity, while underutilizing capabilities leaves value on the table.

Navigating Challenges: Lessons from the Field
While asynchronous processing unlocks immense potential, it’s not without hurdles. Here’s how to avoid common pitfalls:

  • Plan for Failure: Background jobs can fail due to external system outages or data errors. Implement retry mechanisms and alerts to ensure no task falls through the cracks.
  • Monitor Relentlessly: Use built-in dashboards to track job performance. Proactive monitoring prevents small issues from becoming major disruptions.
  • Balance Flexibility and Control: Low-code tools empower non-technical teams to automate workflows, but complex scenarios may require developer expertise. Strike a balance that fosters agility without compromising stability.

Pioneering Framework: A Catalyst for Asynchronous Excellence
In my journey to solve real-world challenges, I developed a custom framework at Intercom—the sObject WorkQueue Framework—inspired by Robert Sosemann’s foundational work. This innovation was born from a critical need: to eliminate bottlenecks in Salesforce asynchronous processing while ensuring reliability at scale.

The framework’s design goals were clear:

  • Avoid Parallel Execution Limits: Ensure no system ever hits Salesforce’s “5 concurrent batch jobs” ceiling, even during peak loads.
  • Universal Flexibility: Process any Salesforce object type seamlessly—whether updating contracts, forecasting renewals, or managing orders.
  • Data Integrity First: Guarantee transactional consistency, even when jobs fail, to prevent cascading errors.
  • Transparency & Diagnostics: Provide granular error tracking (stack traces, last successful record IDs) and auto-alert developers via email.
  • Optimistic Locking: Prevent redundant processing by intelligently skipping records already queued for updates.

By adding priority tiers and scheduled execution windows, the framework evolved into a precision tool. For example, high-priority renewal forecasts could jump the queue ahead of routine data cleanses. This was game-changing for resolving long-standing issues: Asynchronous job conflicts were corrupting order creation logic, while silent failures in contract generation eroded stakeholder trust.

The results were remarkable:

  • 40% faster automated renewal processing
  • 30% fewer failures, saving 18+ hours weekly on debugging
  • 35% fewer transactional errors and 47% fewer row lock collisions
  • Opportunities processed 5x faster (from 7.1s to 1.3s), directly boosting sales team productivity

Later, this evolved into the sObject Integration Framework, addressing inbound data challenges. Imagine migrating millions of legacy records into Salesforce during business hours—without downtime—while auto-transforming data formats and handling traffic spikes. These frameworks weren’t just technical feats. The business impact was substantial, delivering tangible cost savings and efficiency gains:

  • Zero-downtime metadata changes
  • 80% reduction in development efforts via metadata-driven JSON mapping
  • 95% drop in bulk data volume errors
  • 85% improvement in operational efficiency

The Future of Asynchronous Innovation
The Enterprise CRM Platform ecosystem is evolving rapidly, and asynchronous processing is at the heart of this transformation. Emerging trends like AI-driven automation and serverless architectures promise to further streamline operations. Imagine systems that predictively scale resources during peak seasons or self-heal when errors occur.

For businesses, this means staying ahead isn’t just about adopting new tools—it’s about cultivating a mindset of continuous improvement. Partnering with skilled architects and investing in training ensures your team can leverage these advancements as they emerge.

A Call to Action for Leaders
Asynchronous processing transform outdated workflows into engines of innovation. But success starts at the top. Business leaders must:

  • Prioritize Efficiency: View technology as a strategic differentiator, not just a cost center.
  • Empower Teams: Equip developers and admins with the tools and training to implement asynchronous solutions effectively.
  • Think Long-Term: Design systems that scale with growth, not just meet today’s needs.

Shivakrishna Deepak Veeravalli is more than a technologist – he is a catalyst for enterprise transformation. His work at Intercom exemplifies how engineering can fuel not just system efficiency, but business growth and strategic clarity. In an era where innovation and execution are tightly interwoven, Veeravalli’s contributions offer a blueprint for what modern engineering leadership truly looks like.

  • Published On Apr 23, 2025 at 10:49 AM IST

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