EP 07: Building a Time Series Database in the Cloud
simplyblockApril 12, 202400:23:40

EP 07: Building a Time Series Database in the Cloud

Steven Sklar from QuestDB, a company producing a time series database for large IoT, metrics, observability and other time-component data sets, talks about how they implemented their database offering, from building their own operator to how storage is handled.

Cloud Commute is your weekly 25-30 minutes podcast, talking about all things cloud, technology, storage, security, Kubernetes, and more. Joined by veteran guests from the industry, host Chris Engelbert explores new tools, ecosystem developments and upcoming releases. If you’re a tech enthusiast, working in DevOps, SecOps, DevSecOps, or engineering, this is the podcast for you. Make your commute worthwhile and join us on the journey of technology.

πŸ“‹ Show notes:
Guest links & episode links:
β–Ί Steven's LinkedIn: https://www.linkedin.com/in/steven-sklar-1ab7103/
β–Ί Steven's X/Twitter: https://twitter.com/sklarsa
β–Ί Steven's Blog: https://sklar.rocks/
β–Ί If you want to learn more about QuestDB: https://questdb.com/

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Know more about us:
🌍 simplyblock Website: https://simplyblock.io/

Simplyblock is an intelligent database storage orchestrator for IO-intensive workloads in Kubernetes, including databases and analytics solutions. A single system connects local NVMe disks, GP3 volumes, and S3 making it easier to handle storage capacity and performance. With the benefits of thin provisioning, storage tiering, and volume pooling, your database workloads get better performance at lower cost without changes to existing AWS infrastructure.

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Key features of simplyblock:
⭐ Smart local NVMe caching to eliminate read I/O latency and speed up database queries
⭐ Intelligent data tiering between high-speed NVMe, flexible Amazon EBS, and cost-effective Amazon S3
⭐ Maximum IOPS and lowest latency on read
⭐ Benefits of thin provisioning, instant copy-on-write clone, compression, deduplication & encryption

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