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Load Testing Kafka #speedscale #kafka #loadtesting

Message brokers are a critical component of modern distributed systems, facilitating asynchronous communication between services. Load testing message broker integrations requires special considerations since the interaction patterns differ from traditional HTTP-based APIs. Speedscale provides specialized tooling to help you load test applications that integrate with message brokers by.

Defining Enough: Testing in the GenAI Era | SatParkash Maurya | Testflix 2025 | #testingcommunity

In machine learning, an 85% accurate model is often considered a success because we accept that data is messy, the real world is unpredictable, and chasing perfection is rarely worth the cost. However, in software testing, especially in the GenAI era, the question of “Can we test 100%?” still comes up. With AI systems producing probabilistic outputs where the same input can lead to different results, absolute coverage is unrealistic. Confidence scores already tell us that uncertainty is part of the system, and testing needs to acknowledge that reality.

What Companies Get Wrong About Enterprise Process Orchestration-And How to Fix It

Organizations across industries are under immense pressure to modernize operations, manage evolving regulations, and deliver seamless customer experiences. To meet these demands, leaders often turn to process orchestration. Yet, despite heavy investment, many are left with expensive automation projects that never scale and "orchestration" programs that turn into technical debt. Why does this happen? The problem isn't usually the technology itself but how it is applied.

Snowflake Predictions 2026

Your AI-accelerated future will include operationalizing AI, rewriting your leadership skill set, and harnessing the next killer app. Set yourself up for success by registering for this year's AI & Data Predictions event featuring forward-looking conversations with Snowflake's talented leaders. See how agentic AI will create a new enterprise and a new worker. Join the AI + Data Predictions 2026 Virtual Event on January 13, 2026 and hear from Snowflake executives and experts discuss the continuing impact of generative AI on organizations.

Why Cluster Rebalancing Counts More Than You Think in Your Apache Kafka Costs

Cluster rebalancing is the redistribution of partitions across Kafka brokers to balance workload and performance. While this task is a necessary and frequent part of routine Apache Kafka operations, its true impact on infrastructure stability, resource consumption, and cloud expenditures is often underestimated.

Confluent Recognized in 2025 Gartner Magic Quadrant for Data Integration Tools

We are pleased to announce that Confluent has been recognized again as a Challenger in the 2025 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition validates the scale and reliability of our platform, acknowledging our "Ability to Execute" in powering the mission-critical data flows of the world's largest organizations.

Why Managing Your Apache Kafka Schemas Is Costing You More Than You Think

For developers building event-driven systems, schemas are essential for using schemas to define data contracts between producers and consumers in Apache Kafka, ensuring every message can be correctly interpreted. But when schema management is handled manually or through do-it-yourself (DIY) solutions, organizations face escalating expenses that compound as their deployments scale.

Infrastructure Automation And The Future Of Scalable Tech Operations

Have you thought about why some companies can seamlessly scale their technology while others have outages, delays, and an increase in operating costs? As the complexity of digital products and services increases, organizations will continue to experience a challenge—to stay competitive, they cannot rely on legacy manual infrastructure management. Organizations can move from slow provisioning to overcoming configuration errors, then to react quickly to changes in demand.

Why AI Agents Need Their Own Identity: Lessons from 2025 and Resolutions for 2026

As we close out 2025, it's time to reflect on the hard lessons learned from deploying AI agents in production environments. The promise of AI agents is compelling: autonomous systems that can handle complex tasks, make intelligent decisions, and execute actions on our behalf. But as several high-profile incidents this year have starkly demonstrated, this autonomy comes with unprecedented risks when proper identity and access management controls are absent.