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Beyond Microservices
Throughout the book, we use a car-search platform as a unifying example. From ingesting
data about car listings to enriching, it with analytics and providing real-time search results, this
platform showcases the challenges and opportunities of modern data platforms. By following
its journey, you will gain actionable insights that can be applied to a wide range of domains.
Building the software platforms is not just about technology; it’s about solving real-world
problems with creativity within the given guardrails both financial or engineering. This book
will be guiding you through every phase of design, implementation, and evolution. Let’s build
the future of data platforms together.
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About the Book
This book serves as a comprehensive guide for building and scaling robust, agile, and datadriven software platforms. It emphasizes the need for architectures that are both flexible and scalable, balancing performance with cost-efficiency to align with modern business needs.
Using a car-search platform as a running example, the book illustrates practical applications
of concepts, addressing challenges in platform evolution and demonstrating solutions
grounded in real-world scenarios.
The journey from a simple system software application such as a monolithic web application
to a complex, distributed software platform processing petabytes of data extracted from
hundreds of different data sources in real-time is filled with challenges and questions that will
be answered in this book.
Here are just some of those challenges:
• How do you design for scalability and flexibility from day one?
• How do you balance performance and cost, so you don’t burn all your cash on
running the software side of your business?
• What technologies and design patterns will ensure your platform remains relevant
in an ever-changing technological landscape?
• How do you handle vague business requirements and ever changing business
landscape on features and SLAs?
About the Author
The author is a seasoned technology executive and solution architect with a proven track
record of turning technical infrastructure into significant business value. Three of his four
startups were successfully acquired, a feat driven specifically by the advanced capabilities of
the proprietary data platforms he engineered. In one notable instance, he designed a highvelocity
architecture for a real estate startup capable of processing billions of records in near
real-time, achieving this scale at a fraction of the cost of competitor solutions. With over 15
years of experience ranging from early AI adoption to securing critical services for global tech
giants, the author specializes in architecting complex distributed systems that serve as the
scalable foundation for modern business growth.
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