Virtual EventFree
March 20, 2026

In-Memory Databases

Ultra-low latency design and caching strategies for modern data workloads.

RedisIn-MemoryValkey

About This Event

Go deep on in-memory data stores, caching layers, and ultra-low latency architectures. Learn how to design systems that keep hot data in memory, implement effective cache invalidation, and choose between Redis, Memcached, Dragonfly, and purpose-built in-memory engines.

Key Topics

Redis and Dragonfly internals
Cache invalidation strategies
In-memory data structure design
Persistence and durability tradeoffs
Scaling in-memory workloads

Who Should Attend

Backend & platform engineers
Database engineers & DBAs
Tech leads and heads of engineering

Speakers

Anastasia Giles

Anastasia Giles

CEO · Build Dev Con

Developer CommunityTech Events
Andrey Borodin

Andrey Borodin

Software Engineer · Yandex Cloud

Tricks from In-Memory Databases

PostgreSQLIn-Memory
Ashwin Hariharan

Ashwin Hariharan

Developer Advocate · Redis

Context Engineering with Redis

RedisIn-Memory Databases
Daniil Kashapov

Daniil Kashapov

Software Engineer · Yandex Cloud

Speed Up Valkey by 10–12% With Just 10 Lines of Code

Performance Engineering
Konstantin Osipov

Konstantin Osipov

Founder & CTO · Picodata

Picodata: Shard-Per-Core In-Memory Database

In-Memory DatabasesDistributed Systems
Kristiyan Ivanov

Kristiyan Ivanov

CTO and Founder · BetterDB

What Developers and Operators Actually Need from In-Memory Database Tooling

In-Memory Databases
Kyle J. Davis

Kyle J. Davis

General Manager, Redis/Valkey Ecosystem · Percona

Take Care of the Bits and the Gigabytes Take Care of Themselves

RedisValkey
Mikael Ronström

Mikael Ronström

Head of Data · Hopsworks AB

RonDB: a Distributed In-Memory Database powering Real-time AI

In-Memory DatabasesFeature Store
Peter Zaitsev

Peter Zaitsev

Program Committee

Founder · Percona

The State of Redis Forks and Alternatives

MySQLPostgreSQL
Roberto Luna

Roberto Luna

Sr Developer Advocate Open Source for Valkey · AWS

Two Hard Things: Naming Things & Cache Invalidation, Valkey Edition

ValkeyRedis
Vinicius Grippa

Vinicius Grippa

Lead Database Engineer · Readyset

Beyond Key-Value: Deep and Shallow Caching for Ultra-Low Latency MySQL and Postgres

DatabasesCaching
Yevhen Patlan

Yevhen Patlan

Program Committee

Researcher · Chernihiv Polytechnic National University

DatabasesResearch

Session Recordings

Beyond Key-Value: Deep and Shallow Caching for Ultra-Low Latency MySQL and Postgres

Beyond Key-Value: Deep and Shallow Caching for Ultra-Low Latency MySQL and Postgres

Vinicius Grippa · Readyset

RonDB: a Distributed In-Memory Database powering Real-time AI

RonDB: a Distributed In-Memory Database powering Real-time AI

Mikael Ronström · Hopsworks AB

Take Care of the Bits and the Gigabytes Take Care of Themselves

Take Care of the Bits and the Gigabytes Take Care of Themselves

Kyle J. Davis · Percona

Tricks from In-Memory Databases

Tricks from In-Memory Databases

Andrey Borodin · Yandex Cloud

Context Engineering with Redis

Context Engineering with Redis

Ashwin Hariharan · Redis

Two Hard Things: Naming Things & Cache Invalidation, Valkey Edition

Two Hard Things: Naming Things & Cache Invalidation, Valkey Edition

Roberto Luna · AWS

Escalation Processing as a Case Study in AI Memory Design

Escalation Processing as a Case Study in AI Memory Design

Ivan Nemytchenko · Depot Network

Picodata: Shard-Per-Core In-Memory Database

Picodata: Shard-Per-Core In-Memory Database

Konstantin Osipov · Picodata

The State of Redis Forks and Alternatives

The State of Redis Forks and Alternatives

Peter Zaitsev · Percona

What Developers and Operators Actually Need from In-Memory Database Tooling

What Developers and Operators Actually Need from In-Memory Database Tooling

Kristiyan Ivanov · BetterDB

Speed Up Valkey by 10–12% With Just 10 Lines of Code

Speed Up Valkey by 10–12% With Just 10 Lines of Code

Daniil Kashapov · Yandex Cloud

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