Systems | Development | Analytics | API | Testing

Scaling Kafka Streams Applications: Strategies for High-Volume Traffic

As the adoption of real-time data processing accelerates, the ability to scale stream processing applications to handle high-volume traffic is paramount. Apache Kafka, the de facto standard for distributed event streaming, provides a powerful and scalable library in Kafka Streams for building such applications. Scaling a Kafka Streams application effectively involves a multi-faceted approach that encompasses architectural design, configuration tuning, and diligent monitoring.

Cross-Data-Center Apache Kafka Replication: Decision Framework & Readiness Playbook

Building distributed systems is a huge undertaking, but the complexity doesn’t end once your application or platform is “production ready.” Keeping these systems online and operational through cloud region outages, a network partition, or just scheduled maintenance is a constant challenge. The bottom line: you don’t want data pipelines for essential business services, customer-facing products, or enterprise data platforms to go dark.

Accelerating and Scaling AI Deployments Across Hybrid Environments - MLOps Live #40 with Safaricom

Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.

Making Data Quality Scalable With Real-Time Streaming Architectures

Whether it’s financial transactions being processed in milliseconds, customer interactions powering personalized experiences, or machine learning models making predictions, the quality of your data directly shapes the quality of business outcomes today. Put simply: bad data equals bad decisions. The costs aren’t just theoretical—they show up as inaccurate dashboards, failed compliance audits, customer churn, and wasted operational resources.

How to Build Real-Time Alerts to Stay Ahead of Critical Events

While business intelligence dashboards can show you what happened and when, real-time alerts tell you what's happening right now and—when designed right—how to take action before problems escalate. The distinction matters more than you might think. Dashboards help visualize data patterns and trends over time, but real-time alerts can serve automated triggers that detect critical business events and initiate immediate responses.