Workload Prioritization: How to Balance Multiple Workloads in a Cluster by Felipe Cardeneti Mendes

Mar 11, 20250 likes125 views

Workload Prioritization is a ScyllaDB exclusive feature for controlling how different workloads compete for system resources. It's used to prioritize urgent application requests that require immediate response times versus others that can tolerate slighter delays (e.g., large scans). Join this session for a demo of how applying workload prioritization reduces infrastructure costs while ensuring predictable performance at scale.

A ScyllaDB Community
Workload Prioritization
Felipe Mendes
Technical Director
Balancing Multiple Workloads in a Single Cluster

Felipe Mendes (he/him)
■ Technical Director at ScyllaDB
■ ScyllaDB Committer
■ "Database Performance at Scale" co-author
■ Love puppies

■ Real-time versus Batch Processing
■ Real-time workloads are latency sensitive and often have unbound concurrency
■ Batch processing are throughput heavy and operate with ﬁxed concurrency
■ Bonus: BYPASS CACHE for best results
■ Split Writes from Reads
■ SLA and use case dependent
■ Example: Apply back pressure on ingestion jobs, and favor read latencies
■ Workload and Infrastructure Consolidation
■ Deﬁne priorities on a workload basis
■ Compatible with ScyllaDB DynamoDB API
Applying Workload Prioritization

Workload Prioritization Use Cases
■ ShareChat
■ Ally on costs $ savings!
■ Feature Store Evolution Under Cost Constraints: When Cost is Part of the Architecture
■ Social Network Platform
■ Nightly batch jobs for reporting
■ Workload Prioritization ensures user experience is not disrupted
■ Prevent data duplication elsewhere
■ Media Streaming
■ Heavy catalog overwrites
■ Assign different SLAs for reads and writes

Stay in Touch
Felipe Mendes
felipemendes@scylladb.com
felipemendes.dev
fee-mendes
Follow Me!

Discover the new features and capabilities of Scylla Open Source 5.0 directly from the engineers who developed it. This second block of lightning talks will cover the following topics: - New IO Scheduler and Disk Parallelism - Per-Service-Level Timeouts - Better Workload Estimation for Backpressure and Out-of-Memory Conditions - Large Partition Handling Improvements - Optimizing Reverse Queries To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.

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Workload Prioritization: How to Balance Multiple Workloads in a Cluster by Felipe Cardeneti Mendes

1. A ScyllaDB Community Workload Prioritization Felipe Mendes Technical Director Balancing Multiple Workloads in a Single Cluster

2. Felipe Mendes (he/him) ■ Technical Director at ScyllaDB ■ ScyllaDB Committer ■ "Database Performance at Scale" co-author ■ Love puppies

3. What is Workload Prioritization?

4. ■ Real-time versus Batch Processing ■ Real-time workloads are latency sensitive and often have unbound concurrency ■ Batch processing are throughput heavy and operate with ﬁxed concurrency ■ Bonus: BYPASS CACHE for best results ■ Split Writes from Reads ■ SLA and use case dependent ■ Example: Apply back pressure on ingestion jobs, and favor read latencies ■ Workload and Infrastructure Consolidation ■ Deﬁne priorities on a workload basis ■ Compatible with ScyllaDB DynamoDB API Applying Workload Prioritization

5. Workload Prioritization Use Cases ■ ShareChat ■ Ally on costs $ savings! ■ Feature Store Evolution Under Cost Constraints: When Cost is Part of the Architecture ■ Social Network Platform ■ Nightly batch jobs for reporting ■ Workload Prioritization ensures user experience is not disrupted ■ Prevent data duplication elsewhere ■ Media Streaming ■ Heavy catalog overwrites ■ Assign different SLAs for reads and writes

6. Stay in Touch Felipe Mendes [email protected] felipemendes.dev fee-mendes Follow Me!

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