Monster Scale Summit is a virtual conference focused on extreme scale engineering for data-intensive applications. The event brings together top engineers and thought leaders to share the latest trends and best practices, featuring 60+ sessions available on demand. Topics include scalable data architectures, AI/ML, distributed systems, and lessons from leade…
Programmed at Monster, in alphabetical order.
Selected from 10 sessions.
How hard is database replication anyways? Most databases offer built-in replication for fault tolerance today... that is until you need to replicate data across different database …
At ShareChat, we operate dozens of ScyllaDB clusters powering multiple products. This talk shares how we built a data-driven cost optimization process - from capacity analysis prin…
Learn how teams are addressing DynamoDB challenges (cost, cloud lock-in, technical limitations) by moving to ScyllaDB. We'll walk through some real-world case examples, then share …
Databases as a service require many features like security and self-service APIs, but elasticity remains the most challenging to implement. ScyllaDB's co-founder will present the n…
Operating a distributed database is no small feat. Clusters often contain tens (or even hundreds!) of nodes, potentially distributed across availability zones or regions. Cluster-w…
Innovation never sleeps at Freshworks. Freshworks has been rebuilding its AI data platform to support 10X growth, 95% lower tail latency, and lower operating cost by moving multipl…
At Pinterest, we use Apache Flink, Spark, and Druid to power various use cases like real-time metrics reporting for ads from external advertisers and real-time ad budget calculatio…
Learn how ScyllaDB’s technical differentiators impact performance as we scale ScyllaDB X Cloud from 100K to 1M OPS. We’ll cover ScyllaDB’s shard-per-core architecture, tablets elas…
Deep beneath the Swiss-French border, the Large Hadron Collider (LHC) at CERN smashes protons together at nearly the speed of light to probe the fundamental building blocks of the …
An audience of 13 companies, parsed from the program.
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