Announcing InfluxDB Clustered

| © Copyright 2023, InfluxData
1
Introducing:
InfluxDB Clustered
September 2023

2
Introductions
Gunnar Aasen
Sr. Product Manager
@ InfluxData
Balaji Palani
Vice President,
Product Marketing
@ InfluxData

3 | © Copyright 2023, InfluxData
3
Agenda
• Revisiting InfluxDB 3.0
• InfluxDB Clustered
• See it in Action
3

4
Time series data is
foundational to most modern
applications & services

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
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
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
InfluxDB 3.0 Benefits

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
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
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
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
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
Major improvements
over previous
versions of InfluxDB

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
InfluxDB Clustered

17
Bringing the flexibility of the
cloud and the power of
InfluxDB 3.0 together for the self-
managed stack

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
Evolution of InfluxDB Enterprise
InfluxDB Enterprise
• Deployed in Kubernetes
• Complete the InfluxDB 3.0 product portfolio
• Deliver on our promise to customers

20
Gain all capabilities of InfluxDB 3.0
Now specifically packaged &
configured
For unique hosting environments &
data storage requirements

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
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
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
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
Demo

26
Let’s see it in action

27
InfluxDB 3.0: Run on the cloud & on-premises

28
Get better performance at scale & Lower
your TCO with InfluxDB Clustered
InfluxDB Clustered

29
Q&A

30
T H A N K Y O U

Announcing InfluxDB Clustered

Announcing InfluxDB Clustered

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados(20)

Similar a Announcing InfluxDB Clustered

Similar a Announcing InfluxDB Clustered(20)

Mais de InfluxData

Mais de InfluxData(20)

Último

Último(20)

Announcing InfluxDB Clustered