Overcoming Database Scaling Challenges with a New Approach to NoSQL.pdf
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The document discusses overcoming database scaling challenges with ScyllaDB, highlighting its advantages over legacy NoSQL databases, such as higher throughput and lower latency. It features insights from experts Peter Corless and Tomer Sandler, and provides real-world applications and examples of successful deployments. The discussion covers emergency scalability, performance limits, and planning for data at scale.
Overcoming Database Scaling Challenges with a New Approach to NoSQL.pdf
- 1. Overcoming Database Scaling Challenges with a New Approach to NoSQL Peter Corless — Director of Technical Advocacy, ScyllaDB Tomer Sandler — Director of Customer Success & TAM, ScyllaDB
- 2. Introductions Peter Corless, Director of Technical Advocacy + Editor of and frequent contributor to the ScyllaDB blog + Program chair for ScyllaDB Summit and P99 CONF + Host of ScyllaDB Masterclass series + @PeterCorless on Twitter Tomer Sandler, Director of Customer Success and TAM + Lifecycle support: from deployment to operations + Troubleshoots toughest real-time technical issues + Plays a mean saxophone
- 3. + Infoworld 2020 Technology of the Year! + Founded by designers of KVM Hypervisor The Database Built for Gamechangers 3 “ScyllaDB stands apart...It’s the rare product that exceeds my expectations.” – Martin Heller, InfoWorld contributing editor and reviewer “For 99.9% of applications, ScyllaDB delivers all the power a customer will ever need, on workloads that other databases can’t touch – and at a fraction of the cost of an in-memory solution.” – Adrian Bridgewater, Forbes senior contributor + Resolves challenges of legacy NoSQL databases + >5x higher throughput + >20x lower latency + >75% TCO savings + DBaaS/Cloud, Enterprise and Open Source solutions + Proven globally at scale
- 4. 4 +400 Gamechangers Leverage ScyllaDB Seamless experiences across content + devices Fast computation of flight pricing Corporate fleet management Real-time analytics 2,000,000 SKU -commerce management Video recommendation management Threat intelligence service using JanusGraph Real time fraud detection across 6M transactions/day Uber scale, mission critical chat & messaging app Network security threat detection Power ~50M X1 DVRs with billions of reqs/day Precision healthcare via Edison AI Inventory hub for retail operations Property listings and updates Unified ML feature store across the business Cryptocurrency exchange app Geography-based recommendations Global operations- Avon, Body Shop + more Predictable performance for on sale surges GPS-based exercise tracking Serving dynamic live streams at scale Powering India's top social media platform Personalized advertising to players Distribution of game assets in Unreal Engine
- 5. ? How does a company know when they’ve hit the wall? Q1: 5
- 6. ? What about throughput limits? What’s different if you added more workloads vs. bursty time-of-day traffic? 6 Q2:
- 7. ? Even with the best up-front planning you can run into a stochastic event that can go beyond your predictive planning? What then? 7 Q3:
- 8. ? Let’s define “emergency scalability” as responding to unplanned demands on your system. What examples have you seen of “emergency scaling” limits in the wild? 8 Q4:
- 9. ? What’s different doing “emergency scaling” with an on-premises deployment vs. a public cloud? 9 Q5:
- 10. ? Is the cloud really just “someone else’s computer?” 10 Q6:
- 11. ? Is data volume itself a barrier to scale? “I want a petabyte of storage fully loaded by 8 AM tomorrow!” 11 Q7:
- 12. ? What are other real-time limits you can’t avoid? Like the latency of the speed of light, or the raw time to actually stream your data to the new hardware? 12 Q8:
- 13. ? Can you talk more about latency issues? You can’t just throw hardware at it. Because that could even make latencies worse. 13 Q9:
- 14. ? What advice can you give to system architects planning for data at scale? 14 Q10:
- 15. Poll How much data do you under management of your transactional database?
- 16. Q&A WANT TO KEEP LEARNING? Join ScyllaDB University for Free: university.scylladb.com SCYLLADB VIRTUAL WORKSHOP Getting Started with ScyllaDB 23 February 2023, 10am PT | 1pm ET | 6pm GMT
- 17. Thank you for joining us today. @scylladb scylladb/ slack.scylladb.com @scylladb company/scylladb/ scylladb/