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Introducing InfluxDB Cloud Dedicated

InfluxData is excited to announce the general availability of InfluxDB Cloud Dedicated! It is a fully managed time series database service running on cloud infrastructure resources that are dedicated to a single tenant. With this new offering, we’re excited to provide our customers with additional security options, and more custom configuration options to best suit customers’ workload requirements. Join this webinar to learn more about InfluxDB Cloud, and the new dedicated database service offering! In this webinar, Balaji Palani and Gary Fowler will dive into: Key features of the new InfluxDB Cloud Dedicated solution Use cases for using the newest version of the purpose-built time series database Live demo During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.

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| © Copyright 2023, InfluxData
Introducing:
InfluxDB Cloud
Dedicated
May 2023
| © Copyright 2023, InfluxData
Introductions
Gary Fowler
Sr. Product
Manager @
InfluxData
Balaji Palani
Vice President,
Product Marketing
@ InfluxData
| © Copyright 2023, InfluxData
Agenda
3
● Introducing InfluxDB 3.0
● InfluxDB Cloud Dedicated
● See it in Action
| © Copyright 2023, InfluxData
Businesses are defined by
the experiences they deliver
| © Copyright 2023, InfluxData
| © Copyright 2023, InfluxData
Time series data is a foundational
element of
applications & services

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Introducing InfluxDB Cloud Dedicated

  • 1. | © Copyright 2023, InfluxData Introducing: InfluxDB Cloud Dedicated May 2023
  • 2. | © Copyright 2023, InfluxData Introductions Gary Fowler Sr. Product Manager @ InfluxData Balaji Palani Vice President, Product Marketing @ InfluxData
  • 3. | © Copyright 2023, InfluxData Agenda 3 ● Introducing InfluxDB 3.0 ● InfluxDB Cloud Dedicated ● See it in Action
  • 4. | © Copyright 2023, InfluxData Businesses are defined by the experiences they deliver
  • 5. | © Copyright 2023, InfluxData
  • 6. | © Copyright 2023, InfluxData Time series data is a foundational element of applications & services
  • 7. | © Copyright 2023, InfluxData Types of time series data Quantitative values collected regularly over time. State changes or values generated irregularly over time Complete event or request propagation in a distributed system Metrics Events Traces
  • 8. | © Copyright 2023, InfluxData Time series data When Where from sources Sources, networks, infrastructure & applications Based on time Hours, minutes, seconds & nanoseconds
  • 9. | © Copyright 2023, InfluxData Building applications in two worlds Physical Virtual
  • 10. | © Copyright 2023, InfluxData Data… arrives quickly at massive scale in real-time with context Applications…
  • 11. | © Copyright 2023, InfluxData Most general-purpose databases simply cannot handle time series data at scale
  • 12. | © Copyright 2023, InfluxData Why do general- purpose databases fail for time series? • Optimized for processing transactions (OLTP) • Not built for time series workloads with heavy writes and reads • Data lifecycle management such as retention is not built-in
  • 13. | © Copyright 2023, InfluxData Purpose-built for time series data Scale Designed to scale for large volumes of time series data Distributed Non-blocking high-volume writes and reads Availability Write and read availability are prioritized over consistency Management Data lifecycle management with built-in data retention
  • 14. | © Copyright 2023, InfluxData InfluxDB 3.0: Built for real-time analytics, speed, scale, low cost Designed to deliver sub-second query responses Deliver awesome end user experiences One data store for metrics, events & traces Faster time to learning and insights Store data with highest compression on low-cost object store Lower overall costs of ownership (TCO) Faster Time to Awesome® with SQL, InfluxQL & developer tools Improve developer productivity Open & interoperable with data ecosystem Improve data efficiency
  • 15. | © Copyright 2023, InfluxData InfluxDB 3.0: Eliminated cardinality as a constraint • Catalog to track schema changes and statistics • Time-based partitions • Optimizations to find “needle in a haystack” quickly • Benefits: • Unbounded cardinality. • Easily store wide tables or high dimensional time series data (e.g. tracing data)
  • 16. | © Copyright 2023, InfluxData InfluxDB 3.0: Columnar “hot” & “cold” storage tiers for performance & low cost Cold Optimized for lowest cost long- term storage Optimized for low latency analytical queries Data in memory Data in object store seconds, minutes, hours weeks, months, years Hot
  • 17. | © Copyright 2023, InfluxData InfluxDB 3.0: Open architecture for interoperability Machine Learning Tasks Data Science Activities
  • 18. | © Copyright 2023, InfluxData InfluxDB use cases Metrics data lake for monitoring Ingest, analyze and correlate in real-time, operational time series data from systems, networks, infrastructure, services and applications. EXAMPLES: Network Monitoring, Infrastructure Monitoring, DevOps Monitoring etc. Real-time analytics for IoT Collect, transform, analyze and predict in real-time, time series data from sensors connected to internet. EXAMPLES: Predictive Analytics, Sensor Monitoring, Energy Monitoring etc. Analytics SaaS Applications Build analytics SaaS (software as a service) applications such as in devops / monitoring space using time series data. EXAMPLES: Log Analytics Platform, Tracing as a Service etc.
  • 19. | © Copyright 2023, InfluxData Customer adoption by industry Gaming & Entertainment Sustainability / Clean Energy Dev Tools & APIs Industrial IoT zzzzzzz Fintech Cloud Services Consumer IoT Crypto Network Telemetry
  • 20. | © Copyright 2023, InfluxData InfluxDB Platform
  • 21. | © Copyright 2023, InfluxData InfluxDB 3.0: Run on cloud & on-premises
  • 22. | © Copyright 2023, InfluxData | © Copyright 2023, InfluxData InfluxDB Cloud Dedicated
  • 23. | © Copyright 2023, InfluxData What is InfluxDB Cloud Dedicated? Fully managed cloud solution Single-tenant solution optimized for time series workloads Designed for flexibility and scale Designed to handle large workloads Enterprise-grade security InfluxDB Cloud Dedicated protects your data at rest and in motion Straightforward, capacity-based pricing InfluxDB Cloud Dedicated offers annual, pre-paid contracts based on cluster tier (CPU and RAM) and storage needs
  • 24. | © Copyright 2023, InfluxData Why InfluxDB Cloud Dedicated? Performance Optimize Your Workloads Scalability Growing Workloads Location Data where you need it Edge Reliable Distributed Systems Different workloads have different needs. InfluxDB Cloud Dedicated lets you customize your cluster configuration so you can optimize your database to prioritize writes or queries. If you have medium-sized data workloads and expect them to grow, Cloud Dedicated is right for you. Whether your workload relies more on ingest, storage, or both, Cloud Dedicated can grow with you. Will be available on all supported regions* on AWS, Azure**, and GCP** public clouds, Cloud Dedicated helps customers meet regulatory and data residency requirements by storing data in specific region(s). Create seamless, durable queues that automatically replicate data from single- node InfluxDB instances at the edge to your Cloud Dedicated instance. Use the same data to deliver unique insights to different stakeholders.
  • 25. | © Copyright 2023, InfluxData | © Copyright 2023, InfluxData Demo
  • 26. | © Copyright 2023, InfluxData In this demo - Real-Time Analytics Use Case ➔ See querying with both SQL and InfluxQL ➔ See how easy it is to use Apache Arrow & Arrow Flight to get data from InfluxDB 3.0 ➔ See how fast it is for a Data Scientist or Business Analyst to get a large set of (0 TTBR) data into a Pandas Dataframe for analysis ➔ See how easy it is to get that data in a Pandas dataframe or saved into a Parquet File
  • 27. | © Copyright 2023, InfluxData 27 Apache Arrow Apache Arrow is a framework for defining in-memory columnar data ● Language-agnostic standard for columnar memory ● Efficient for running large analytical workloads on modern CPU and GPU architectures
  • 28. | © Copyright 2023, InfluxData 28 Apache Parquet Apache Parquet is column-oriented data file format designed for efficient data storage and retrieval Minimizes disk usage while storing gigabytes of data https://dzone.com/articles/how-to-be-a-hero-with-powerful-parquet-google-and Efficient retrieval and deserialization of large amounts of columnar data
  • 29. | © Copyright 2023, InfluxData 29 Flight SQL InfluxDB Cloud Dedicated uses the Apache Arrow Ecosystem
  • 30. | © Copyright 2023, InfluxData 30 Let’s see it in action
  • 31. | © Copyright 2023, InfluxData 31 InfluxDB 3.0: Fast, Real-Time & Cost Effective Reduce Time to Insights Store More Data Reduce Storage Costs Better Ingest Performance Datapoints per second 50% 10X 70% 10X 100M+ Sign up for Free
  • 32. | © Copyright 2023, InfluxData 32 Q&A
  • 33. | © Copyright 2023, InfluxData 33 T H A N K Y O U