Database Scaling Strategies Masterclass

Practical techniques for high-performance applications

May 7, 2026 - 8:00am-10:30am PDT | 16:00-18:30 BST

Free Masterclass: Overcoming database scaling limits

In this 2-hour masterclass you'll learn how to anticipate and address the scaling challenges commonly faced with high-growth use cases. Attendees will walk away with a practical framework for understanding different database scaling approaches and deciding which to apply in any given situation.

We’ll begin by looking at why database scaling is so hard. We cover how factors like concurrency, contention, throughput, and latency come into play, then discuss the specific pains of different scaling contexts. Next is an in-depth dissection of fundamental scaling approaches. Finally, we’ll share several real-world scaling scenarios that we’ve seen in the field.

You will learn how to:

  • Avoid the scaling mistakes that have burned other teams
  • Predict and plan for the point where you hit the limits of your current scaling approach
  • Select a scaling strategy that will optimize performance for your use case, without overprovisioning or wasted cloud spend
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REGISTER NOW

Meet Your Instructors

Felipe Cardeneti Mendes

Felipe Mendes
Technical Director

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Gui Nogueira
Technical Director

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Look forward to...

Hands-on Learning

Live Q&As, in-session chat, hands-on exercises... thought this was going to be only about watching people talk? Think again.

Free Swag & Prizes

Attend live and enter for a chance to win an exclusive swag pack and complete the quiz for a certificate to display on your LinkedIn profile!

Bonus Content

You’ll have access to all recordings and slides after the event, so you can go back and re-watch the sessions you didn’t catch live.


Schedule Highlights

Thursday, May 7

08:00AM – 08:30AM PST

Lounges Open

Engineers are live in the ScyllaDB Lounge and ready to answer your questions!

08:30AM – 08:35AM PST

Welcome & Housekeeping

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08:35AM – 9:05AM PST

Session 1: Why Scaling is So Hard

Everything hurts more at scale. We begin by exploring how scaling amplifies concurrency and resource contention – and what it all means for latency and cost. Then we look at specific pains of different scaling contexts.
– Workload characteristics: read/write mix and traffic patterns
– Real-time AI: vector search and feature stores
– Global scale: consistency and cross-region latency tradeoffs

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9:05AM – 9:35AM PST

Session 2: Exploring Scaling Approaches

Not all scaling approaches are created equal – and the right one depends entirely on your workload, your constraints, and how much you're willing to trade off. We analyze key scaling strategies – how they work, when they apply, and how they affect complexity, latency, and cost.
– Sharding, vertical scaling, and horizontal scaling
– Auto scaling and elastic scaling
–Caching, configuration, and other tactical responses

9:35AM – 10:05AM PST

Session 3: Real-World Scaling Scenarios

Guilherme and Felipe share the (anonymized) details of some of the most intriguing database challenges they’ve seen in the field.

10:05AM – 10:20PM PST

Open Q & A

Ask your burning vector search questions – the best ones win a book bundle.

10:20AM – 10:25PM PST

Wrap-up & Exam