With two decades of experience spanning the full technology lifecycle, Anuja Kumar is a seasoned Sales Engineer recognized for her exceptional ability to connect engineering depth with business strategy. Beginning her career as a developer, and successfully navigating key roles in BA, QA, and PM, Anuja possesses a unique, holistic view of solution architecture. As a former Solution Architect at Redis, she was instrumental in driving high-value enterprise deployments—an achievement acknowledged by her inclusion in the Redis President’s Club 2023. Anuja specializes in pre-sales, cloud architecture (AWS), and technical negotiation, and is deeply committed to mentoring students and conducting technical seminars to foster community growth.
Anuja Kumar
Position:
Solution Architect
Bio:
Bio:
With two decades of experience spanning the full technology lifecycle, Anuja Kumar is a seasoned Sales Engineer recognized for her exceptional ability to connect engineering depth with business strategy. Beginning her career as a developer, and successfully navigating key roles in BA, QA, and PM, Anuja possesses a unique, holistic view of solution architecture. As a former Solution Architect at Redis, she was instrumental in driving high-value enterprise deployments—an achievement acknowledged by her inclusion in the Redis President’s Club 2023. Anuja specializes in pre-sales, cloud architecture (AWS), and technical negotiation, and is deeply committed to mentoring students and conducting technical seminars to foster community growth.
In Part 1 of this two-part blog series, we saw how to go beyond basic caching with GridGain 8. Part 1 discussed why people start with Redis and the challenge Redis brings, the Redis and GridGain designs, and then mapping Redis to GridGain 8. Since GridGain version 8 and 9 differ significantly in their architecture and classes, it’s best to have these in two separate blogs.GridGain 9: Modern Table…
Why People Start with Redis and the Challenge It BringsWhen developers chase lightning-fast data access, the journey almost always starts in RAM. Redis has become the go-to choice here - thanks to its simplicity: a few core data types and a lightweight command set. But as applications grow beyond basic caching into large-scale, distributed systems, a challenge emerges:How do you preserve Redis-…