Announcing InfluxDB Clustered

InfluxData
InfluxDataInfluxData
| © Copyright 2023, InfluxData
1
Introducing:
InfluxDB Clustered
September 2023
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2
Introductions
Gunnar Aasen
Sr. Product Manager
@ InfluxData
Balaji Palani
Vice President,
Product Marketing
@ InfluxData
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3 | © Copyright 2023, InfluxData
3
Agenda
• Revisiting InfluxDB 3.0
• InfluxDB Clustered
• See it in Action
3
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4
Time series data is
foundational to most modern
applications & services
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5
Time series 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.
Custom Analytics
Applications
Build analytics SaaS
(software as a service)
applications such as in
devops / observability
space using time series
data.
EXAMPLES:
Log Analytics Platform,
Tracing as a service etc.
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6
Challenges with managing time series data
Data is continuously
arriving at high speed
and volume
Applications must
analyze data within
streams and act in real
time
Higher number of tags
collected cause high
cardinality impacting
performance
Massive Scale Real Time Action Data Cardinality
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7
InfluxDB 3.0: Columnar database for high
performance & low TCO
Hot data in
memory
Real
Time
Lowest cost
storage
Cold data in
object store
Unlimited
Cardinality
Optimized writes
& reads
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8 | © Copyright 2023, InfluxData
8
InfluxDB 3.0 Benefits
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9
Store metrics, events, traces in a single
datastore without cardinality concerns
InfluxDB 3.0 enables analysis and storage of
all of the required time series data with all
the required metadata for all of devices and
sources without limitations and helps Reduce
Operational Complexity.
Unlimited
Cardinality
Optimized writes
& reads
Optimized for ingest
scale & speed
One datastore for all
time series data
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10
Deliver sub-second query responses for
recent edge of data
Hot data in
memory
Real
Time
Optimized for low latency
analytical queries
Sub-second responses
for recent data
InfluxDB 3.0 uses Apache Arrow for its
internal data representation:
● Best suited for columnar in-memory analytics
● Optimized for providing instant responses for
live or recently queried data
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11
Deliver faster results even when querying
across longer time ranges
Query
Optimization
DataFusion
Query Engine
Faster data access for
longer time ranges
InfluxDB 3.0 uses DataFusion as it’s
query engine:
● Vectorized execution
● Optimized I/O and pushdown strategies
● Optimized data partitioning
● State of the art parallelism techniques
Performance optimized
columnar analytics
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12
Store 10x more data at reduced costs
Lowest cost
storage
Cold data in
object store
Optimized for lowest cost
long term storage
Superior compression &
reduced TCO
InfluxDB 3.0 persists aged data as Apache
Parquet (maximum compression) on cloud
object store (e.g. S3) which is 3-5x cheaper
than SSD.
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13
Democratize data for faster time to insights
Open Data
Architecture
Zero copy data
sharing
Apache Parquet is an open data standard
enabling interoperability with ML tools and
advanced analytics
Optimized for direct
access with zero copy
Interoperability with AI &
ML tools
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14
Major improvements
over previous
versions of InfluxDB
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15
“InfluxDB 3.0 is a truly bold
release from InfluxData, with
new columnar architecture and
the benefits of separating
compute and storage for
performant, real-time queries
across leading-edge data.”
with
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16 | © Copyright 2023, InfluxData
16
InfluxDB Clustered
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17
Bringing the flexibility of the
cloud and the power of
InfluxDB 3.0 together for the self-
managed stack
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18
Brings InfluxDB 3.0 key tenets of performance
• Unlimited cardinality
• High speed ingest
• Real-time querying
• Superior data compression
to customers deploying their own custom infrastructure
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19
Evolution of InfluxDB Enterprise
InfluxDB Enterprise
• Deployed in Kubernetes
• Complete the InfluxDB 3.0 product portfolio
• Deliver on our promise to customers
| © Copyright 2023, InfluxData
20
Gain all capabilities of InfluxDB 3.0
Now specifically packaged &
configured
For unique hosting environments &
data storage requirements
| © Copyright 2023, InfluxData
21
Who is InfluxDB Clustered for?
1. Large enterprises that want performance
at scale
2. Organizations wanting better control over
their data and it’s underlying infrastructure
3. Customers looking for enterprise-grade
security
| © Copyright 2023, InfluxData
22
1 / Large enterprises that want performance
at scale
What are some of
the examples?
Example 1:
Central observability
platform for their
entire company
Example 2:
Central monitoring
hub for their fleet of
IoT sensors & devices
Example 3:
Real-time events
analytics pipeline for
applications
Why it matters?
• Enables customers to consolidate multiple tools and analytics
solutions into a single platform
• Delivers elasticity to customer-managed InfluxDB
• Enables customers to grow without compromising on performance
Customer Impact
• Reduces TCO
• Accelerates time to market
• Delivers on performance and scale
| © Copyright 2023, InfluxData
23
2 / Organizations that want better control over
their data and underlying infrastructure
What does this mean?
• Organizations have complete visibility and control over their
underlying infrastructure including custom environments.
• Customers can further tune their database controls to meet specific
performance requirements for their workloads
Why it matters?
• Supports InfluxDB 3.0 deployment almost everywhere
• Enables custom tuned workloads
Customer Impact
• Customers can meet specific regulatory or business requirements
when it comes to storing & processing their data
• Flexibility to optimize for performance, scale and / or cost
| © Copyright 2023, InfluxData
24
3 / Enterprise-grade security & compliance
What does this mean?
InfluxDB Clustered customers can configure for:
• Data encryption in transit & at rest
• Private networking (in their private cloud)
• Enterprise SSO
Why it matters?
• Enterprise customers care about enterprise-grade security
• Less maintenance overhead on adding or deleting users
• Lower data transfer costs for sending data from their applications into
their InfluxDB cluster configured in private cloud setting
Customer Impact
• Customers can meet compliance requirements with their internal
security teams
• Lower TCO
| © Copyright 2023, InfluxData
25 | © Copyright 2023, InfluxData
25
Demo
| © Copyright 2023, InfluxData
26
Let’s see it in action
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27
InfluxDB 3.0: Run on the cloud & on-premises
| © Copyright 2023, InfluxData
28
Get better performance at scale & Lower
your TCO with InfluxDB Clustered
InfluxDB Clustered
| © Copyright 2023, InfluxData
29 | © Copyright 2023, InfluxData
29
Q&A
| © Copyright 2023, InfluxData
30
T H A N K Y O U
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Announcing InfluxDB Clustered

  • 1. | © Copyright 2023, InfluxData 1 Introducing: InfluxDB Clustered September 2023
  • 2. | © Copyright 2023, InfluxData 2 Introductions Gunnar Aasen Sr. Product Manager @ InfluxData Balaji Palani Vice President, Product Marketing @ InfluxData
  • 3. | © Copyright 2023, InfluxData 3 | © Copyright 2023, InfluxData 3 Agenda • Revisiting InfluxDB 3.0 • InfluxDB Clustered • See it in Action 3
  • 4. | © Copyright 2023, InfluxData 4 Time series data is foundational to most modern applications & services
  • 5. | © Copyright 2023, InfluxData 5 Time series 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. Custom Analytics Applications Build analytics SaaS (software as a service) applications such as in devops / observability space using time series data. EXAMPLES: Log Analytics Platform, Tracing as a service etc.
  • 6. | © Copyright 2023, InfluxData 6 Challenges with managing time series data Data is continuously arriving at high speed and volume Applications must analyze data within streams and act in real time Higher number of tags collected cause high cardinality impacting performance Massive Scale Real Time Action Data Cardinality
  • 7. | © Copyright 2023, InfluxData 7 InfluxDB 3.0: Columnar database for high performance & low TCO Hot data in memory Real Time Lowest cost storage Cold data in object store Unlimited Cardinality Optimized writes & reads
  • 8. | © Copyright 2023, InfluxData 8 | © Copyright 2023, InfluxData 8 InfluxDB 3.0 Benefits
  • 9. | © Copyright 2023, InfluxData 9 Store metrics, events, traces in a single datastore without cardinality concerns InfluxDB 3.0 enables analysis and storage of all of the required time series data with all the required metadata for all of devices and sources without limitations and helps Reduce Operational Complexity. Unlimited Cardinality Optimized writes & reads Optimized for ingest scale & speed One datastore for all time series data
  • 10. | © Copyright 2023, InfluxData 10 Deliver sub-second query responses for recent edge of data Hot data in memory Real Time Optimized for low latency analytical queries Sub-second responses for recent data InfluxDB 3.0 uses Apache Arrow for its internal data representation: ● Best suited for columnar in-memory analytics ● Optimized for providing instant responses for live or recently queried data
  • 11. | © Copyright 2023, InfluxData 11 Deliver faster results even when querying across longer time ranges Query Optimization DataFusion Query Engine Faster data access for longer time ranges InfluxDB 3.0 uses DataFusion as it’s query engine: ● Vectorized execution ● Optimized I/O and pushdown strategies ● Optimized data partitioning ● State of the art parallelism techniques Performance optimized columnar analytics
  • 12. | © Copyright 2023, InfluxData 12 Store 10x more data at reduced costs Lowest cost storage Cold data in object store Optimized for lowest cost long term storage Superior compression & reduced TCO InfluxDB 3.0 persists aged data as Apache Parquet (maximum compression) on cloud object store (e.g. S3) which is 3-5x cheaper than SSD.
  • 13. | © Copyright 2023, InfluxData 13 Democratize data for faster time to insights Open Data Architecture Zero copy data sharing Apache Parquet is an open data standard enabling interoperability with ML tools and advanced analytics Optimized for direct access with zero copy Interoperability with AI & ML tools
  • 14. | © Copyright 2023, InfluxData 14 Major improvements over previous versions of InfluxDB
  • 15. | © Copyright 2023, InfluxData 15 “InfluxDB 3.0 is a truly bold release from InfluxData, with new columnar architecture and the benefits of separating compute and storage for performant, real-time queries across leading-edge data.” with
  • 16. | © Copyright 2023, InfluxData 16 | © Copyright 2023, InfluxData 16 InfluxDB Clustered
  • 17. | © Copyright 2023, InfluxData 17 Bringing the flexibility of the cloud and the power of InfluxDB 3.0 together for the self- managed stack
  • 18. | © Copyright 2023, InfluxData 18 Brings InfluxDB 3.0 key tenets of performance • Unlimited cardinality • High speed ingest • Real-time querying • Superior data compression to customers deploying their own custom infrastructure
  • 19. | © Copyright 2023, InfluxData 19 Evolution of InfluxDB Enterprise InfluxDB Enterprise • Deployed in Kubernetes • Complete the InfluxDB 3.0 product portfolio • Deliver on our promise to customers
  • 20. | © Copyright 2023, InfluxData 20 Gain all capabilities of InfluxDB 3.0 Now specifically packaged & configured For unique hosting environments & data storage requirements
  • 21. | © Copyright 2023, InfluxData 21 Who is InfluxDB Clustered for? 1. Large enterprises that want performance at scale 2. Organizations wanting better control over their data and it’s underlying infrastructure 3. Customers looking for enterprise-grade security
  • 22. | © Copyright 2023, InfluxData 22 1 / Large enterprises that want performance at scale What are some of the examples? Example 1: Central observability platform for their entire company Example 2: Central monitoring hub for their fleet of IoT sensors & devices Example 3: Real-time events analytics pipeline for applications Why it matters? • Enables customers to consolidate multiple tools and analytics solutions into a single platform • Delivers elasticity to customer-managed InfluxDB • Enables customers to grow without compromising on performance Customer Impact • Reduces TCO • Accelerates time to market • Delivers on performance and scale
  • 23. | © Copyright 2023, InfluxData 23 2 / Organizations that want better control over their data and underlying infrastructure What does this mean? • Organizations have complete visibility and control over their underlying infrastructure including custom environments. • Customers can further tune their database controls to meet specific performance requirements for their workloads Why it matters? • Supports InfluxDB 3.0 deployment almost everywhere • Enables custom tuned workloads Customer Impact • Customers can meet specific regulatory or business requirements when it comes to storing & processing their data • Flexibility to optimize for performance, scale and / or cost
  • 24. | © Copyright 2023, InfluxData 24 3 / Enterprise-grade security & compliance What does this mean? InfluxDB Clustered customers can configure for: • Data encryption in transit & at rest • Private networking (in their private cloud) • Enterprise SSO Why it matters? • Enterprise customers care about enterprise-grade security • Less maintenance overhead on adding or deleting users • Lower data transfer costs for sending data from their applications into their InfluxDB cluster configured in private cloud setting Customer Impact • Customers can meet compliance requirements with their internal security teams • Lower TCO
  • 25. | © Copyright 2023, InfluxData 25 | © Copyright 2023, InfluxData 25 Demo
  • 26. | © Copyright 2023, InfluxData 26 Let’s see it in action
  • 27. | © Copyright 2023, InfluxData 27 InfluxDB 3.0: Run on the cloud & on-premises
  • 28. | © Copyright 2023, InfluxData 28 Get better performance at scale & Lower your TCO with InfluxDB Clustered InfluxDB Clustered
  • 29. | © Copyright 2023, InfluxData 29 | © Copyright 2023, InfluxData 29 Q&A
  • 30. | © Copyright 2023, InfluxData 30 T H A N K Y O U