Profile PictureNirmal Nayak

I help testers go from manual to automation using proven industry tools

How to Test Kafka Applications and Catch Bugs Early Without Getting Lost in Jargon

$4.99+

THE IMPORTANCE OF KAFKA

This book will provide you with a step-by-step process, proven strategies, and tools used for testing Data Streaming projects built using Kafka -- created by a Kafka and Data Stream expert.

Do you know that around 80% of Fortune 100 companies rely on Kafka in their data pipelines? This means almost 8 out of 10 ETL or Data projects rely on Kafka.

LinkedIn alone processes close to 1 trillion Kafka messages every day, showing how essential streaming has become nowadays.

This also means that, by understanding Kafka well, it not only opens your opportunities to ETL projects, but also to Data Engineering, & Microservices projects.


Transform Your Functional Testing Skill to Data Testing Expertise

Stop getting lost in confusing jargons and fire fighting, start spending your precious hours in real testing,

This is the exact approach I have used for large fintech companies, banks, fast-moving startups and federal Govt projects -- to catch critical bugs in the ETL, Data Pipeline, and Micro-services projects

And I'll show you how to do the same, even if you're starting from scratch or transitioning from traditional functional testing into the world of Data and ETL testing.


My Story

I’m an IT consultant with over a decade of hands-on experience building ETL processes, data pipelines—and yes, plenty of microservices too.

Along the way, I’ve authored and contributed to a number of open-source frameworks and tools that streamline the testing process—from writing integration tests to tackling Non-Functional Requirements (NFR) testing.

When I first encountered the "indeterministic" and "async" systems like Kafka, I realized most teams struggled with testing them effectively. So, I broke down the complexity using simple metaphors and similes—so that others in my team can use these super simple techniques while testing.

Once I mastered manual testing techniques for Kafka, automating them became effortless. No more firefighting. No more confusing jargon. Just clear, repeatable strategies that work.

The best part? I did it all using open-source tools—no time wasted dealing licenced and expensive tools. Every tool I used and every step I took are laid out for you in this book.


Introducing: HOW TO TEST DATA STREAM APPLICATIONS

- Transform your functional testing skills into real-world data testing expertise — even if you've never heard of Kafka or "data streaming" before.

- Stop struggling to figure out :

"What should I test in a Kafka-based system?"

"API testing is anyway gives enough coverage -- Stream testing is not required"

"How do I test non-deterministic behaviors?"

Many testers avoid Kafka because it sounds too technical. Some even assume API testing is enough and skip stream validation entirely. But real Quality Assurance means checking all integration points — not just the easy ones.

Become a high-value tester, a high-value QA(Quality Assurance) engineer, start testing all integration points and provide 100% real assurance, and find critical bugs even much earlier to pre-produnction environments.

You'll receive this Paybook to help you with What to Test, also What Not to Test, how to test DLQs(Dead Letter Queues) for bad data or unexpected data gets into the system, which you can straight away start applying to your testing practices in your ETL or Data or Micro-services projects.


Is This Book Right for You? Yes — If You Want to:

- Learn what to test—and what not to—when working with Kafka-based applications

- Transform your current functional testing skills into practical data testing expertise

- Break into ETL testing roles, where Kafka is used to transfer data from source to target systems

- Test Kafka-based applications, add high-quality integration tests to build up your regression pack

- Build a Data Streaming foundation to build or validate real-time data streaming features with confidence


What You’ll Learn Inside the Book

- Get hands-on knowledge that bridges the gap between testing and real-world Kafka deployed:

- Kafka fundamentals explained with simple analogies — like postboxes and water taps to make complex ideas easy to grasp

- What really happens when you poll messages without committing them — and why it matters for testing

- How Consumer Groups work — and how they affect if you have one or more of them

- Why Dead Letter Queues (DLQs) exist — and how to properly test them

- Which UI tools should testers use to inspect, debug, and verify Kafka messages


But Wait... You Also Get Bonus Bundle (Worth $199 value):

When you grab the course today, you’ll also get these exclusive bonuses to help you hit the ground running:

✅ Clear video walkthrough of Kafka core concepts — explained specifically from a tester’s perspective

✅ Downloadable ETL/Data Mapping Sheet — just like the ones your Business Analyst would hand you

✅ Lifetime access to all future updates of this book and related video lessons — Get the latest, always

✅ GitHub repo & guide to set up a Kafka cluster locally using Docker Compose + UI tools on your laptop


Special Launch Price – Limited Time Only!

Today Only: $4.99 (Price goes up after Sunday at midnight)

Regular Price: $47


Ready to Transform Your Existing Testing Skills into in-demand Expertise in ETL testing with Kafka ?

Just fill in your details and click the button below to get started. ☝️

PS : Companies are actively hunting for engineers who can test Data Streaming projects like pros. Every day you wait is a missed opportunity to stand out.

Your peers are already leveraging Kafka testing skills to get premium salaries. Don’t get left behind—start your journey today.

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How to Test Kafka Based Data Applications

Pages
28
Size
6.79 MB
Length
29 pages