SlideShare una empresa de Scribd logo
1 de 21
Ronald McCollam
Senior Solutions Engineer
Grafana Labs
Flux in Grafana 7*
*Plus a few relevant changes you’ll love, I
© 2020 InfluxData. All rights reserved. 2
Agenda
● Grafana refresher
● Grafana 7 quick overview
● Flux support in Grafana 7
● DEMO
○ Using FluxQL
○ Combining InfluxDB data with other sources
● Q&A
© 2020 InfluxData. All rights reserved. 3
About me
Senior Solutions Engineer at
Grafana Labs
Linux geek since the pre-1.0 days
Previous life in IT operations
management
What is Grafana and why should you care?
Grafana refresher
© 2020 InfluxData. All rights reserved. 5
What is Grafana?
Grafana allows you to query, visualize, alert on and
understand your metrics no matter where they are
stored. Create, explore, and share dashboards with
your team and foster a data driven culture.
Trusted and loved by the community.
© 2020 InfluxData. All rights reserved. 6
Grafana background
Open source project started by Torkel Ödegaard in 2014
Plugin system since Grafana 3.0 to support (nearly) any data
source
© 2020 InfluxData. All rights reserved. 7
Grafana background
Open source project started by Torkel Ödegaard in 2014
Plugin system since Grafana 3.0 to support (nearly) any data
source
Internet Famous star by RobStarrIF, Wikimedia Commons (modified by Ronald McCollam)
© 2020 InfluxData. All rights reserved. 8
Grafana philosophy:
Observability is owned by an entire organization
No one tool can do all things for all
people. Each tool has specific features
and its own niche where it is best of
breed.
Grafana Labs strives for an open and
composable solution to unite data
across the great technologies you
selected and deployed.
By unifying your existing data,
wherever it lives, we help deliver
unprecedented insights, while
maintaining choice, and flexibility.
Quick overview of new/changed features
Grafana 7
© 2020 InfluxData. All rights reserved. 10
Grafana 7
Released May 2020
Most ambitious Grafana
release to date
Many “under the hood”
changes
© 2020 InfluxData. All rights reserved. 11
Too many changes to talk about here!
USAGE ANALYTICS
Helps large companies get
better insight into the
behavior and utilization of
their users, dashboards,
and data sources
UNIFIED DATA MODEL
Viz can come from
data/context, not manual.
Smart viz based on data
(min/max/mean graphs,
etc). Basic BI.
TRACING
Add trace UI to show traces
from tracing data sources and
Jaeger datasource within Loki
to reduce mean time to
resolution
CUSTOM TIME FORMATS
AND TIME ZONE SELECTION
Better UZ and viz options. Better
selection of viz with live
previews.
NEW VIS AND PANEL EDITING
Enhanced UX and visualization
options for better consistency and
usability including a new table panel,
a new grid layout engine and an
improved experience for editing
panels
NEW TABLE AND GRAPH
PANELS
Move to React enables more
reusability of components, scaling
of multiple stats. New single stat
and bar graph already available
PLUGINS PLATFORM
Advanced platform so
users can easily create
new Plugins faster and
more efficiently
AWS CLOUDWATCH
LOGS
Added support for AWS
CloudWatch Logs
TRANSFORMATIONS
The new Transformations
capabilities allow users to go
beyond data visualization and
transform all types of data
© 2020 InfluxData. All rights reserved. 12
But there are two worth mentioning...
USAGE ANALYTICS
Helps large companies get
better insight into the
behavior and utilization of
their users, dashboards,
and data sources
UNIFIED DATA MODEL
Viz can come from
data/context, not manual.
Smart viz based on data
(min/max/mean graphs,
etc). Basic BI.
TRACING
Add trace UI to show traces
from tracing data sources and
Jaeger datasource within Loki
to reduce mean time to
resolution
CUSTOM TIME FORMATS
AND TIME ZONE SELECTION
Better UZ and viz options. Better
selection of viz with live
previews.
NEW VIS AND PANEL EDITING
Enhanced UX and visualization
options for better consistency and
usability including a new table panel,
a new grid layout engine and an
improved experience for editing
panels
NEW TABLE AND GRAPH
PANELS
Move to React enables more
reusability of components, scaling
of multiple stats. New single stat
and bar graph already available
PLUGINS PLATFORM
Advanced platform so
users can easily create
new Plugins faster and
more efficiently
AWS CLOUDWATCH
LOGS
Added support for AWS
CloudWatch Logs
TRANSFORMATIONS
The new Transformations
capabilities allow users to go
beyond data visualization and
transform all types of data
© 2020 InfluxData. All rights reserved. 13
Unified data model
A new unified data model makes Grafana more consistent and easier to use because it provides users with a consistent
way to define data sources, conventions, user defaults, and override rules
Previous Versions of Grafana
Each visualization had slightly different ways to define options
Grafana 7.0
Consistent UI for specifying override rules and is extensible for custom panel specific
options
Singlestat
Options
Table
Override
Rules
Graph
Thresholds
© 2020 InfluxData. All rights reserved. 14
Transformations
Now that we have the same representation of data regardless of the underlying data source, we can manipulate and
combine that data in sensible ways
Apply a
transformation
!
Define labels in a database Labels appear in the table as fields
The moment you’ve been waiting for
Flux support in Grafna 7
© 2020 InfluxData. All rights reserved. 16
InfluxDB and Grafana
Influx support added in 2014… but this was always InfluxQL
Using InfluxQL, Grafana’s visualizations were limited
● Sort by time only
● Group by tags/time only
● Single source only (no joins)
© 2020 InfluxData. All rights reserved. 17
Full Flux support in Grafana 7.1
DEMO
© 2020 InfluxData. All rights reserved. 19
Summary
● Flux query support is now available!
● InfluxQL and Flux are both supported (where applicable)
● New data model means you can combine data in InfluxDB
with other sources -- more powerful visualizations
● Grafana ♥ InfluxDB
Q&A
© 2020 InfluxData. All rights reserved. 21
Ronald McCollam
Senior Solutions Engineer, Grafana Labs
Place image here
ronald@grafana.com
@rm@mastodon.amaseto.com
@ronaldmccollam

Más contenido relacionado

La actualidad más candente

Introduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingIntroduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingInfluxData
 
Introduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingIntroduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingInfluxData
 
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData InfluxData
 
Taming the Tiger: Tips and Tricks for Using Telegraf
Taming the Tiger: Tips and Tricks for Using TelegrafTaming the Tiger: Tips and Tricks for Using Telegraf
Taming the Tiger: Tips and Tricks for Using TelegrafInfluxData
 
InfluxDB + Kepware: Start Monitoring Industrial Data Quickly
InfluxDB + Kepware: Start Monitoring Industrial Data QuicklyInfluxDB + Kepware: Start Monitoring Industrial Data Quickly
InfluxDB + Kepware: Start Monitoring Industrial Data QuicklyInfluxData
 
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...InfluxData
 
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...InfluxData
 
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...InfluxData
 
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...InfluxData
 
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxData
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxDataInfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxData
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxDataInfluxData
 
Virtual training intro to InfluxDB - June 2021
Virtual training  intro to InfluxDB  - June 2021Virtual training  intro to InfluxDB  - June 2021
Virtual training intro to InfluxDB - June 2021InfluxData
 
Inside the InfluxDB storage engine
Inside the InfluxDB storage engineInside the InfluxDB storage engine
Inside the InfluxDB storage engineInfluxData
 
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxData
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxDataOptimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxData
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxDataInfluxData
 
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021InfluxData
 
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...InfluxData
 
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxData
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxDataInfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxData
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxDataInfluxData
 
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...InfluxData
 
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...InfluxData
 
Getting Started: Intro to Telegraf - July 2021
Getting Started: Intro to Telegraf - July 2021Getting Started: Intro to Telegraf - July 2021
Getting Started: Intro to Telegraf - July 2021InfluxData
 
Kapacitor - Real Time Data Processing Engine
Kapacitor - Real Time Data Processing EngineKapacitor - Real Time Data Processing Engine
Kapacitor - Real Time Data Processing EnginePrashant Vats
 

La actualidad más candente (20)

Introduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingIntroduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data Scripting
 
Introduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data ScriptingIntroduction to Flux and Functional Data Scripting
Introduction to Flux and Functional Data Scripting
 
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData
Creating and Using the Flux SQL Datasource | Katy Farmer | InfluxData
 
Taming the Tiger: Tips and Tricks for Using Telegraf
Taming the Tiger: Tips and Tricks for Using TelegrafTaming the Tiger: Tips and Tricks for Using Telegraf
Taming the Tiger: Tips and Tricks for Using Telegraf
 
InfluxDB + Kepware: Start Monitoring Industrial Data Quickly
InfluxDB + Kepware: Start Monitoring Industrial Data QuicklyInfluxDB + Kepware: Start Monitoring Industrial Data Quickly
InfluxDB + Kepware: Start Monitoring Industrial Data Quickly
 
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
Ryan Betts [InfluxData] | InfluxDB Platform Performance | InfluxDays Virtual ...
 
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
Scaling Prometheus Metrics in Kubernetes with Telegraf | Chris Goller | Influ...
 
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
Bernard Paques & Kevin Polossat [AWS] | Combining the Power of InfluxDB and A...
 
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
 
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxData
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxDataInfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxData
InfluxDB Enterprise Architectural Patterns | Craig Hobbs | InfluxData
 
Virtual training intro to InfluxDB - June 2021
Virtual training  intro to InfluxDB  - June 2021Virtual training  intro to InfluxDB  - June 2021
Virtual training intro to InfluxDB - June 2021
 
Inside the InfluxDB storage engine
Inside the InfluxDB storage engineInside the InfluxDB storage engine
Inside the InfluxDB storage engine
 
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxData
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxDataOptimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxData
Optimizing InfluxDB Performance in the Real World | Sam Dillard | InfluxData
 
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
Evan Kaplan [InfluxData] | InfluxDays Opening Remarks | InfluxDays EMEA 2021
 
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...
Lessons Learned: Running InfluxDB Cloud and Other Cloud Services at Scale | T...
 
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxData
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxDataInfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxData
InfluxDB 101 - Concepts and Architecture | Michael DeSa | InfluxData
 
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...
InfluxDB 101 – Concepts and Architecture by Michael DeSa, Software Engineer |...
 
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...
How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Usi...
 
Getting Started: Intro to Telegraf - July 2021
Getting Started: Intro to Telegraf - July 2021Getting Started: Intro to Telegraf - July 2021
Getting Started: Intro to Telegraf - July 2021
 
Kapacitor - Real Time Data Processing Engine
Kapacitor - Real Time Data Processing EngineKapacitor - Real Time Data Processing Engine
Kapacitor - Real Time Data Processing Engine
 

Similar a Ronald McCollam [Grafana] | Flux Queries in Grafana 7 | InfluxDays Virtual Experience NA 2020

Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...InfluxData
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...InfluxData
 
20150314 sahara intro and the future plan for open stack meetup
20150314 sahara intro and the future plan for open stack meetup20150314 sahara intro and the future plan for open stack meetup
20150314 sahara intro and the future plan for open stack meetupWei Ting Chen
 
Why Open Source Works for DevOps Monitoring
Why Open Source Works for DevOps MonitoringWhy Open Source Works for DevOps Monitoring
Why Open Source Works for DevOps MonitoringDevOps.com
 
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...Vera Leonik-Shilyaeva
 
Introduction to GCP Data Flow Presentation
Introduction to GCP Data Flow PresentationIntroduction to GCP Data Flow Presentation
Introduction to GCP Data Flow PresentationKnoldus Inc.
 
Introduction to GCP DataFlow Presentation
Introduction to GCP DataFlow PresentationIntroduction to GCP DataFlow Presentation
Introduction to GCP DataFlow PresentationKnoldus Inc.
 
HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence SAP Technology
 
Using Visualization to Succeed with Big Data
Using Visualization to Succeed with Big Data Using Visualization to Succeed with Big Data
Using Visualization to Succeed with Big Data Pactera_US
 
What’s New in Cognos Analytics 11.1.4
What’s New in Cognos Analytics 11.1.4What’s New in Cognos Analytics 11.1.4
What’s New in Cognos Analytics 11.1.4Senturus
 
Large Scale Production DITA landscape @SAP
Large Scale Production DITA landscape @SAPLarge Scale Production DITA landscape @SAP
Large Scale Production DITA landscape @SAPYoussef Bennani
 
How pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureHow pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureKovid Academy
 
HBaseCon 2013: Being Smarter Than the Smart Meter
HBaseCon 2013: Being Smarter Than the Smart MeterHBaseCon 2013: Being Smarter Than the Smart Meter
HBaseCon 2013: Being Smarter Than the Smart MeterCloudera, Inc.
 
StratusLab at FOSDEM'13
StratusLab at FOSDEM'13StratusLab at FOSDEM'13
StratusLab at FOSDEM'13stratuslab
 
A Comparison of Power BI, Tableau & Cognos
A Comparison of Power BI, Tableau & CognosA Comparison of Power BI, Tableau & Cognos
A Comparison of Power BI, Tableau & CognosSenturus
 
Peek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapPeek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapNeo4j
 
Under the Hood - Couchbase Server Architecture - June 2015
Under the Hood - Couchbase Server Architecture - June 2015Under the Hood - Couchbase Server Architecture - June 2015
Under the Hood - Couchbase Server Architecture - June 2015Cihan Biyikoglu
 

Similar a Ronald McCollam [Grafana] | Flux Queries in Grafana 7 | InfluxDays Virtual Experience NA 2020 (20)

Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
Aengus Rooney [Grafana] | What's New with Grafana and InfluxDB | InfluxDays E...
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
 
20150314 sahara intro and the future plan for open stack meetup
20150314 sahara intro and the future plan for open stack meetup20150314 sahara intro and the future plan for open stack meetup
20150314 sahara intro and the future plan for open stack meetup
 
Why Open Source Works for DevOps Monitoring
Why Open Source Works for DevOps MonitoringWhy Open Source Works for DevOps Monitoring
Why Open Source Works for DevOps Monitoring
 
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...
Preactor 12 (Brochure)_What`s New (APS-system/Advanced Planning and Schedulin...
 
Introduction to GCP Data Flow Presentation
Introduction to GCP Data Flow PresentationIntroduction to GCP Data Flow Presentation
Introduction to GCP Data Flow Presentation
 
Introduction to GCP DataFlow Presentation
Introduction to GCP DataFlow PresentationIntroduction to GCP DataFlow Presentation
Introduction to GCP DataFlow Presentation
 
HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence
 
Using Visualization to Succeed with Big Data
Using Visualization to Succeed with Big Data Using Visualization to Succeed with Big Data
Using Visualization to Succeed with Big Data
 
What’s New in Cognos Analytics 11.1.4
What’s New in Cognos Analytics 11.1.4What’s New in Cognos Analytics 11.1.4
What’s New in Cognos Analytics 11.1.4
 
Open Data Hub - Stefano Seppi - Open Data Hub Data Browser 2.0
Open Data Hub - Stefano Seppi - Open Data Hub Data Browser 2.0Open Data Hub - Stefano Seppi - Open Data Hub Data Browser 2.0
Open Data Hub - Stefano Seppi - Open Data Hub Data Browser 2.0
 
Large Scale Production DITA landscape @SAP
Large Scale Production DITA landscape @SAPLarge Scale Production DITA landscape @SAP
Large Scale Production DITA landscape @SAP
 
How pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architectureHow pig and hadoop fit in data processing architecture
How pig and hadoop fit in data processing architecture
 
Tableau Suite Analysis
Tableau Suite Analysis Tableau Suite Analysis
Tableau Suite Analysis
 
HBaseCon 2013: Being Smarter Than the Smart Meter
HBaseCon 2013: Being Smarter Than the Smart MeterHBaseCon 2013: Being Smarter Than the Smart Meter
HBaseCon 2013: Being Smarter Than the Smart Meter
 
datonix product overview
datonix product overviewdatonix product overview
datonix product overview
 
StratusLab at FOSDEM'13
StratusLab at FOSDEM'13StratusLab at FOSDEM'13
StratusLab at FOSDEM'13
 
A Comparison of Power BI, Tableau & Cognos
A Comparison of Power BI, Tableau & CognosA Comparison of Power BI, Tableau & Cognos
A Comparison of Power BI, Tableau & Cognos
 
Peek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapPeek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and Roadmap
 
Under the Hood - Couchbase Server Architecture - June 2015
Under the Hood - Couchbase Server Architecture - June 2015Under the Hood - Couchbase Server Architecture - June 2015
Under the Hood - Couchbase Server Architecture - June 2015
 

Más de InfluxData

Announcing InfluxDB Clustered
Announcing InfluxDB ClusteredAnnouncing InfluxDB Clustered
Announcing InfluxDB ClusteredInfluxData
 
Best Practices for Leveraging the Apache Arrow Ecosystem
Best Practices for Leveraging the Apache Arrow EcosystemBest Practices for Leveraging the Apache Arrow Ecosystem
Best Practices for Leveraging the Apache Arrow EcosystemInfluxData
 
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...InfluxData
 
Power Your Predictive Analytics with InfluxDB
Power Your Predictive Analytics with InfluxDBPower Your Predictive Analytics with InfluxDB
Power Your Predictive Analytics with InfluxDBInfluxData
 
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base InfluxData
 
Build an Edge-to-Cloud Solution with the MING Stack
Build an Edge-to-Cloud Solution with the MING StackBuild an Edge-to-Cloud Solution with the MING Stack
Build an Edge-to-Cloud Solution with the MING StackInfluxData
 
Meet the Founders: An Open Discussion About Rewriting Using Rust
Meet the Founders: An Open Discussion About Rewriting Using RustMeet the Founders: An Open Discussion About Rewriting Using Rust
Meet the Founders: An Open Discussion About Rewriting Using RustInfluxData
 
Introducing InfluxDB Cloud Dedicated
Introducing InfluxDB Cloud DedicatedIntroducing InfluxDB Cloud Dedicated
Introducing InfluxDB Cloud DedicatedInfluxData
 
Gain Better Observability with OpenTelemetry and InfluxDB
Gain Better Observability with OpenTelemetry and InfluxDB Gain Better Observability with OpenTelemetry and InfluxDB
Gain Better Observability with OpenTelemetry and InfluxDB InfluxData
 
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...InfluxData
 
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
How Delft University's Engineering Students Make Their EV Formula-Style Race ...How Delft University's Engineering Students Make Their EV Formula-Style Race ...
How Delft University's Engineering Students Make Their EV Formula-Style Race ...InfluxData
 
Introducing InfluxDB’s New Time Series Database Storage Engine
Introducing InfluxDB’s New Time Series Database Storage EngineIntroducing InfluxDB’s New Time Series Database Storage Engine
Introducing InfluxDB’s New Time Series Database Storage EngineInfluxData
 
Start Automating InfluxDB Deployments at the Edge with balena
Start Automating InfluxDB Deployments at the Edge with balena Start Automating InfluxDB Deployments at the Edge with balena
Start Automating InfluxDB Deployments at the Edge with balena InfluxData
 
Understanding InfluxDB’s New Storage Engine
Understanding InfluxDB’s New Storage EngineUnderstanding InfluxDB’s New Storage Engine
Understanding InfluxDB’s New Storage EngineInfluxData
 
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBStreamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBInfluxData
 
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...InfluxData
 
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022InfluxData
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022InfluxData
 
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...InfluxData
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022InfluxData
 

Más de InfluxData (20)

Announcing InfluxDB Clustered
Announcing InfluxDB ClusteredAnnouncing InfluxDB Clustered
Announcing InfluxDB Clustered
 
Best Practices for Leveraging the Apache Arrow Ecosystem
Best Practices for Leveraging the Apache Arrow EcosystemBest Practices for Leveraging the Apache Arrow Ecosystem
Best Practices for Leveraging the Apache Arrow Ecosystem
 
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
 
Power Your Predictive Analytics with InfluxDB
Power Your Predictive Analytics with InfluxDBPower Your Predictive Analytics with InfluxDB
Power Your Predictive Analytics with InfluxDB
 
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
 
Build an Edge-to-Cloud Solution with the MING Stack
Build an Edge-to-Cloud Solution with the MING StackBuild an Edge-to-Cloud Solution with the MING Stack
Build an Edge-to-Cloud Solution with the MING Stack
 
Meet the Founders: An Open Discussion About Rewriting Using Rust
Meet the Founders: An Open Discussion About Rewriting Using RustMeet the Founders: An Open Discussion About Rewriting Using Rust
Meet the Founders: An Open Discussion About Rewriting Using Rust
 
Introducing InfluxDB Cloud Dedicated
Introducing InfluxDB Cloud DedicatedIntroducing InfluxDB Cloud Dedicated
Introducing InfluxDB Cloud Dedicated
 
Gain Better Observability with OpenTelemetry and InfluxDB
Gain Better Observability with OpenTelemetry and InfluxDB Gain Better Observability with OpenTelemetry and InfluxDB
Gain Better Observability with OpenTelemetry and InfluxDB
 
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
 
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
How Delft University's Engineering Students Make Their EV Formula-Style Race ...How Delft University's Engineering Students Make Their EV Formula-Style Race ...
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
 
Introducing InfluxDB’s New Time Series Database Storage Engine
Introducing InfluxDB’s New Time Series Database Storage EngineIntroducing InfluxDB’s New Time Series Database Storage Engine
Introducing InfluxDB’s New Time Series Database Storage Engine
 
Start Automating InfluxDB Deployments at the Edge with balena
Start Automating InfluxDB Deployments at the Edge with balena Start Automating InfluxDB Deployments at the Edge with balena
Start Automating InfluxDB Deployments at the Edge with balena
 
Understanding InfluxDB’s New Storage Engine
Understanding InfluxDB’s New Storage EngineUnderstanding InfluxDB’s New Storage Engine
Understanding InfluxDB’s New Storage Engine
 
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBStreamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
 
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
 
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
 
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
 

Último

Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 

Último (20)

Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 

Ronald McCollam [Grafana] | Flux Queries in Grafana 7 | InfluxDays Virtual Experience NA 2020

  • 1. Ronald McCollam Senior Solutions Engineer Grafana Labs Flux in Grafana 7* *Plus a few relevant changes you’ll love, I
  • 2. © 2020 InfluxData. All rights reserved. 2 Agenda ● Grafana refresher ● Grafana 7 quick overview ● Flux support in Grafana 7 ● DEMO ○ Using FluxQL ○ Combining InfluxDB data with other sources ● Q&A
  • 3. © 2020 InfluxData. All rights reserved. 3 About me Senior Solutions Engineer at Grafana Labs Linux geek since the pre-1.0 days Previous life in IT operations management
  • 4. What is Grafana and why should you care? Grafana refresher
  • 5. © 2020 InfluxData. All rights reserved. 5 What is Grafana? Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture. Trusted and loved by the community.
  • 6. © 2020 InfluxData. All rights reserved. 6 Grafana background Open source project started by Torkel Ödegaard in 2014 Plugin system since Grafana 3.0 to support (nearly) any data source
  • 7. © 2020 InfluxData. All rights reserved. 7 Grafana background Open source project started by Torkel Ödegaard in 2014 Plugin system since Grafana 3.0 to support (nearly) any data source Internet Famous star by RobStarrIF, Wikimedia Commons (modified by Ronald McCollam)
  • 8. © 2020 InfluxData. All rights reserved. 8 Grafana philosophy: Observability is owned by an entire organization No one tool can do all things for all people. Each tool has specific features and its own niche where it is best of breed. Grafana Labs strives for an open and composable solution to unite data across the great technologies you selected and deployed. By unifying your existing data, wherever it lives, we help deliver unprecedented insights, while maintaining choice, and flexibility.
  • 9. Quick overview of new/changed features Grafana 7
  • 10. © 2020 InfluxData. All rights reserved. 10 Grafana 7 Released May 2020 Most ambitious Grafana release to date Many “under the hood” changes
  • 11. © 2020 InfluxData. All rights reserved. 11 Too many changes to talk about here! USAGE ANALYTICS Helps large companies get better insight into the behavior and utilization of their users, dashboards, and data sources UNIFIED DATA MODEL Viz can come from data/context, not manual. Smart viz based on data (min/max/mean graphs, etc). Basic BI. TRACING Add trace UI to show traces from tracing data sources and Jaeger datasource within Loki to reduce mean time to resolution CUSTOM TIME FORMATS AND TIME ZONE SELECTION Better UZ and viz options. Better selection of viz with live previews. NEW VIS AND PANEL EDITING Enhanced UX and visualization options for better consistency and usability including a new table panel, a new grid layout engine and an improved experience for editing panels NEW TABLE AND GRAPH PANELS Move to React enables more reusability of components, scaling of multiple stats. New single stat and bar graph already available PLUGINS PLATFORM Advanced platform so users can easily create new Plugins faster and more efficiently AWS CLOUDWATCH LOGS Added support for AWS CloudWatch Logs TRANSFORMATIONS The new Transformations capabilities allow users to go beyond data visualization and transform all types of data
  • 12. © 2020 InfluxData. All rights reserved. 12 But there are two worth mentioning... USAGE ANALYTICS Helps large companies get better insight into the behavior and utilization of their users, dashboards, and data sources UNIFIED DATA MODEL Viz can come from data/context, not manual. Smart viz based on data (min/max/mean graphs, etc). Basic BI. TRACING Add trace UI to show traces from tracing data sources and Jaeger datasource within Loki to reduce mean time to resolution CUSTOM TIME FORMATS AND TIME ZONE SELECTION Better UZ and viz options. Better selection of viz with live previews. NEW VIS AND PANEL EDITING Enhanced UX and visualization options for better consistency and usability including a new table panel, a new grid layout engine and an improved experience for editing panels NEW TABLE AND GRAPH PANELS Move to React enables more reusability of components, scaling of multiple stats. New single stat and bar graph already available PLUGINS PLATFORM Advanced platform so users can easily create new Plugins faster and more efficiently AWS CLOUDWATCH LOGS Added support for AWS CloudWatch Logs TRANSFORMATIONS The new Transformations capabilities allow users to go beyond data visualization and transform all types of data
  • 13. © 2020 InfluxData. All rights reserved. 13 Unified data model A new unified data model makes Grafana more consistent and easier to use because it provides users with a consistent way to define data sources, conventions, user defaults, and override rules Previous Versions of Grafana Each visualization had slightly different ways to define options Grafana 7.0 Consistent UI for specifying override rules and is extensible for custom panel specific options Singlestat Options Table Override Rules Graph Thresholds
  • 14. © 2020 InfluxData. All rights reserved. 14 Transformations Now that we have the same representation of data regardless of the underlying data source, we can manipulate and combine that data in sensible ways Apply a transformation ! Define labels in a database Labels appear in the table as fields
  • 15. The moment you’ve been waiting for Flux support in Grafna 7
  • 16. © 2020 InfluxData. All rights reserved. 16 InfluxDB and Grafana Influx support added in 2014… but this was always InfluxQL Using InfluxQL, Grafana’s visualizations were limited ● Sort by time only ● Group by tags/time only ● Single source only (no joins)
  • 17. © 2020 InfluxData. All rights reserved. 17 Full Flux support in Grafana 7.1
  • 18. DEMO
  • 19. © 2020 InfluxData. All rights reserved. 19 Summary ● Flux query support is now available! ● InfluxQL and Flux are both supported (where applicable) ● New data model means you can combine data in InfluxDB with other sources -- more powerful visualizations ● Grafana ♥ InfluxDB
  • 20. Q&A
  • 21. © 2020 InfluxData. All rights reserved. 21 Ronald McCollam Senior Solutions Engineer, Grafana Labs Place image here ronald@grafana.com @rm@mastodon.amaseto.com @ronaldmccollam