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How to Monitor and Size Workloads on AWS i3 instances
The webinar focuses on monitoring and sizing workloads for ScyllaDB on AWS i3 instances, highlighting Scylla's performance capabilities such as over 1 million operations per node and under 1ms latency. Key topics include the use of monitoring tools like Prometheus and Grafana, data models, and operational impacts for effective performance management. The session also covers deployment strategies, insights on avoiding bottlenecks, and offers a Q&A for participant inquiries.
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How to Monitor and Size Workloads on AWS i3 instances
- 1. Glauber Costa EyalGutkind ScyllaDB webinar How to Monitor and Size Workloads on AWS i3 Instances
- 2. + Intro: Whowe are, what we do, who uses it + Getting started with Scylla + Using monitoring data to understand bottlenecks + Data model and operation impacts + Scylla compatibility + Q&A Today we will cover:
- 3. What we do:Scylla, towards the best NoSQL + > 1 million OPS per node + < 1ms 99% latency + Auto tuned + Scale up and out + Open source + Large community (piggyback on Cassandra) + Blends in the ecosystem: Spark, Presto, time series, search ...
- 4. Where Scylla isdeployed?
- 5. Scylla benchmark bySamsung op/s
- 6. + Intro: Whowe are, what we do, who uses it + Using monitoring data to understand bottlenecks + Why AWS i3 Instances and Scylla? + Data model and operation impacts + Scylla compatibility + Q&A Today we will cover:
- 7. Monitoring: Prometheus +Grafana - Container based installation - Simple and clean - https://github.com/scylladb/scylla-grafana-monitoring - Installs on a different machine - Possible to install w/o docker - Bring your own Prometheus and Grafana - Use provided yml, ini and json files to enable monitoring
- 8. How to UnderstandScylla Performance
- 9. What to lookfor? Customize for workload
- 10. Setting up themonitor
- 11. + Intro: Whowe are, what we do, who uses it + Using monitoring data to understand bottlenecks + Why AWS i3 Instances and Scylla? + Data model and operation impacts + Scylla compatibility + Q&A Today we will cover:
- 12. Powerful software forpowerful instances
- 13. Threads Shards System gotmuscle?, use it! : Shard per core
- 14. Powerful software forpowerful instances
- 15. Don’t leave RAMbehind: Unified cache Cassandra Scylla Key cache Row cache On-heap / Off-heap Linux page cache SSTables Unified cache SSTables Complex Tuning
- 16. Unified cache vsCassandra cache plethora Cassandra Scylla Key cache Row cache On-heap / Off-heap Linux page cache SSTables Unified cache SSTables SSTable page (4k) Your data (300b) Parasitic Rows - 300b/4kb
- 17. Cassandra Scylla Key cache Rowcache On-heap / Off-heap Linux page cache SSTables Unified cache SSTables App thread Kernel SSD Page fault Suspend thread Initiate I/O Context switch I/O completes Interrupt Context switch Map page Resume thread Page fault Unified cache vs Cassandra cache plethora
- 18. Show CPU andmemory workload on the monitor
- 19. Powerful software forpowerful instances
- 20. Exploiting NVMe performance:Scylla I/O Scheduling Query Commitlog Compaction Queue Queue Queue Userspace I/O Scheduler Disk Max useful disk concurrency I/O queued in FS/deviceNo queues
- 21. Show I/O workloadon the monitor
- 22. Powerful software forpowerful instances
- 23. When to usei3 instances
- 24. + Intro: Whowe are, what we do, who uses it + Getting started with Scylla + Using monitoring data to understand bottlenecks + Data model and operation impacts + Scylla compatibility + What’s Next? + Q&A Today we will cover:
- 25. Prevent Hot Spots CREATETABLE sensordata (s1data text,s2data text,timestmp timestamp,sregion text,stype text, PRIMARY KEY (s1data, s2data,timestmp)); CREATE TABLE sensordata (s1data text,s2data text,timestmp timestamp,sregion text,stype text, PRIMARY KEY ((s1data, timestmp), s2data));
- 26.
- 27. + Intro: Whowe are, what we do, who uses it + Getting started with Scylla + Using monitoring data to understand bottlenecks + Data model and operation impacts + Scylla compatibility + Let’s show you how to do it (Demo time) + Q&A Today we will cover:
- 28. + SSTable fileformat + Configuration file format + CQL language + CQL native protocol + JMX management protocol + Management command line Compatibility
- 29. + Intro: Whowe are, what we do, who uses it + Getting started with Scylla + Using monitoring data to understand bottlenecks + Data model and operation impacts + Scylla compatibility + Q&A Today we will cover:
- 30.
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