Systems | Development | Analytics | API | Testing

Confluent Champion: How Vineet Pursues Engineering Excellence in an Innovation Culture

Based in Delhi, India, Vineet Singh has worked as a Senior Software Engineer at Confluent for the past three years, and he has contributed to various parts of Confluent’s core data streaming engine. Now he’s part of the team that makes Apache Kafka cloud-native, serverless, and able to power robust and scalable solutions for Confluent Cloud customers. Learn more about Vineet’s experience and growth at Confluent and how his team and environment have set him up for success.

Performance Benchmark Report Q2 2025 for Magento 2

How does your Magento 2 store’s PHP backend performance compare to other operators of Magento in general? To answer this question, we have aggregated and anonymized performance data from over 70 Magento 2 stores over the last quarter and computed benchmark numbers to compare to for the most important page types: Product details, Category Page, Search, and Homepage.

Test Plan vs Test Strategy: What's the Difference?

If you work in QA or have experience in software engineering, it’s likely that you’ve heard the terms “test plan” and “test strategy” used interchangeably. In actuality, they’re quite different, and understanding those differences will help you write clearer documentation, run a tighter team, and ship higher-quality software. This guide breaks down test plan vs test strategy in practical terms, then shows how they fit together on real projects. Ready?

Zero-Trust for LLMs: Applying Security Principles to AI Systems

Zero-trust security ensures you verify every interaction, whether it’s a user, system, or API, before granting access. For large language models (LLMs), this approach is vital to prevent data breaches and maintain control over sensitive information. Here’s how zero-trust principles apply to LLMs: Identity Verification: Use multi-factor authentication (MFA) for users and secure API keys for systems. Regularly review and update permissions.

How To Design Tests For Unpredictable Behavior

Agentic AI systems don’t behave the same way twice, so traditional test cases with fixed inputs and expected outputs no longer work. But unpredictability doesn’t mean untestability. Instead of checking for exact answers, testers must probe for unsafe, misaligned, or unintended behavior. Techniques like scenario replay, adversarial prompting, constraint injection, and behavioral thresholds help uncover risk, drift, and reasoning errors.

From Scripts to Systems - Why Agentic AI Breaks Traditional Testing

Agentic AI systems don’t follow scripts — they make decisions. That means your tests can all “pass” while the AI still hallucinates, misfires, or behaves unpredictably. Traditional QA, built for deterministic workflows, simply isn’t enough. Testing these systems is less like checking a vending machine and more like evaluating a junior employee: you’re judging reasoning, not just output.

How to migrate AWS MSK to Express Brokers with Lenses K2K Replicator

AWS MSK has become popular because it deploys Kafka easily and bills alongside other AWS services. Over the past few years, AWS announced Express Brokers, a new cluster type that offers unlimited storage and separates brokers from storage resources. This simplifies scaling and reduces the time needed to rebalance topics when adding or removing brokers.

AI-Ready DataOps: Rethinking MDS for LLMs

AI is changing how data teams operate. Is your pipeline ready? Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed. In this webinar, Hugo Lu, Founder & CEO at Orchestra will explore what it really means to build AI-first data operations & how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.

Week 3 CFO Masterclass: Building Predictive Intelligence in Finance

Discover how finance teams can move beyond static reporting with predictive intelligence! In this masterclass preview, see how your team can evolve into proactive advisors by leveraging leading indicators and predictive insights. Watch our Week Three Masterclass and dive deeper with the full blog: “Beyond Financial Statements: Building Predictive Intelligence” for strategies to revolutionize your finance workflows.