SlideShare a Scribd company logo
1 of 13
Five pillars of Infrastructure
Monitoring
DANIEL KOLLER, @DAKOLLER
FOR #SITFRA
1. Know your infrastructure
stack
1. Know your infrastructure stack
• Make sure your infrastructure
information is complete and
current.
• Tools, which contain non-
current information, are not
used.
• Aim for an automated &
repeatable process of
information collection.
aws ec2 describe-instances --instance-ids i-5203422c
2. Know your monitoring tools
2. Know your monitoring tools
• In todays world, vendors often merge
management tools with monitoring
functions.
• You‘ll want to benefit from these very
specific tools, so you‘ll end up using
them. (sometimes you have to)
• Be clear in your organization, what you
monitor how.
• Check completeness of landscape
3. Consolidate your monitoring
output
3. Consolidate your monitoring output
• You‘ll want to have a consolidated view of your
monitoring output.
• Potential tools for that the ELK stack, Splunk or SAP
ITOA.
• Work on sensible thresholds & alerts
• Consolidated view simplifies tasks such as root cause
analysis & pattern finding.
• Visualization helps! (Health status)
4. Setup of proper support
organization
4. Setup of proper support organization
• Thousands of alerts …
• Not everything has to go to the
service desk („Self-healing“)
• Service desk needs to know
what to do with monitoring
output
• Enable fast impact detection
• How do you inform your
customers?
• Look regularly at repeating
causes for issues
5. Make it smart
5. Make it smart
• Follow event chains across the
infrastructure layers (Markov
chains may help)
• Predict events based on history
Something to take away
Know your
infrastructure stack
Know your
monitoring tools
Consolidate your
monitoring output
Setup of proper
support
organization
Make it smart
Thank you!

More Related Content

Viewers also liked

Microservices Tracing with Spring Cloud and Zipkin
Microservices Tracing with Spring Cloud and ZipkinMicroservices Tracing with Spring Cloud and Zipkin
Microservices Tracing with Spring Cloud and ZipkinMarcin Grzejszczak
 
Amazon Military Talent Program
Amazon Military Talent ProgramAmazon Military Talent Program
Amazon Military Talent Programbrianraymonddolan
 
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...DataWorks Summit
 
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015StampedeCon
 
One Click Deploys using Rundeck
One Click Deploys using RundeckOne Click Deploys using Rundeck
One Click Deploys using RundeckSai Kothapalle
 
Fluentd at HKOScon
Fluentd at HKOSconFluentd at HKOScon
Fluentd at HKOSconN Masahiro
 
Powerupcloud - Customer Case Studies
Powerupcloud - Customer Case StudiesPowerupcloud - Customer Case Studies
Powerupcloud - Customer Case StudiesJonathyan Maas ☁
 
Aws security with HIDS using Ossec
Aws security with HIDS using OssecAws security with HIDS using Ossec
Aws security with HIDS using OssecGaurav Harsola
 
Service Orchestrierung mit Apache Mesos
Service Orchestrierung mit Apache MesosService Orchestrierung mit Apache Mesos
Service Orchestrierung mit Apache MesosRalf Ernst
 
Human Capital in de 21e eeuw
Human Capital in de 21e eeuwHuman Capital in de 21e eeuw
Human Capital in de 21e eeuwhan mesters
 
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...Elk Software Group
 
Yodlee Customer Presentation
Yodlee Customer PresentationYodlee Customer Presentation
Yodlee Customer PresentationSplunk
 
Rez gateway (RezOS) innovate the future
Rez gateway  (RezOS) innovate the futureRez gateway  (RezOS) innovate the future
Rez gateway (RezOS) innovate the futureindikaMaligaspe
 

Viewers also liked (17)

Microservices Tracing with Spring Cloud and Zipkin
Microservices Tracing with Spring Cloud and ZipkinMicroservices Tracing with Spring Cloud and Zipkin
Microservices Tracing with Spring Cloud and Zipkin
 
Setex Brochure by Matrax Bulgaria
Setex Brochure by Matrax BulgariaSetex Brochure by Matrax Bulgaria
Setex Brochure by Matrax Bulgaria
 
Amazon Military Talent Program
Amazon Military Talent ProgramAmazon Military Talent Program
Amazon Military Talent Program
 
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...
Lessons Learned from Migration of a Large-analytics Platform from MPP Databas...
 
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015
How Cisco Migrated from MapReduce Jobs to Spark Jobs - StampedeCon 2015
 
CF Summit: Skilling Up
CF Summit: Skilling UpCF Summit: Skilling Up
CF Summit: Skilling Up
 
One Click Deploys using Rundeck
One Click Deploys using RundeckOne Click Deploys using Rundeck
One Click Deploys using Rundeck
 
Fluentd at HKOScon
Fluentd at HKOSconFluentd at HKOScon
Fluentd at HKOScon
 
Powerupcloud - Customer Case Studies
Powerupcloud - Customer Case StudiesPowerupcloud - Customer Case Studies
Powerupcloud - Customer Case Studies
 
Santo Rosario Completo
Santo Rosario CompletoSanto Rosario Completo
Santo Rosario Completo
 
Powerupcloud - Corporate Deck
Powerupcloud - Corporate DeckPowerupcloud - Corporate Deck
Powerupcloud - Corporate Deck
 
Aws security with HIDS using Ossec
Aws security with HIDS using OssecAws security with HIDS using Ossec
Aws security with HIDS using Ossec
 
Service Orchestrierung mit Apache Mesos
Service Orchestrierung mit Apache MesosService Orchestrierung mit Apache Mesos
Service Orchestrierung mit Apache Mesos
 
Human Capital in de 21e eeuw
Human Capital in de 21e eeuwHuman Capital in de 21e eeuw
Human Capital in de 21e eeuw
 
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...
Finding HMAS Sydney Chapter 5 - Kormoran Database & the Mathematics of Reliab...
 
Yodlee Customer Presentation
Yodlee Customer PresentationYodlee Customer Presentation
Yodlee Customer Presentation
 
Rez gateway (RezOS) innovate the future
Rez gateway  (RezOS) innovate the futureRez gateway  (RezOS) innovate the future
Rez gateway (RezOS) innovate the future
 

Similar to Five pillars of Infrastructure Monitoring

Customer Presentation
Customer PresentationCustomer Presentation
Customer PresentationSplunk
 
SplunkSummit 2015 - A Quick Guide to Search Optimization
SplunkSummit 2015 - A Quick Guide to Search OptimizationSplunkSummit 2015 - A Quick Guide to Search Optimization
SplunkSummit 2015 - A Quick Guide to Search OptimizationSplunk
 
My Keynote from BSidesTampa 2015 (video in description)
My Keynote from BSidesTampa 2015 (video in description)My Keynote from BSidesTampa 2015 (video in description)
My Keynote from BSidesTampa 2015 (video in description)Andrew Case
 
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...Harry McLaren
 
ETL Observability: Azure to Snowflake Presentation
ETL Observability: Azure to Snowflake PresentationETL Observability: Azure to Snowflake Presentation
ETL Observability: Azure to Snowflake PresentationKnoldus Inc.
 
Se6162 analysis concept and principles
Se6162 analysis concept and principlesSe6162 analysis concept and principles
Se6162 analysis concept and principleskhaerul azmi
 
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech Day
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech DaySplunk Fundamentals: Investigations with Core Splunk - Splunk Tech Day
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech DayZivaro Inc
 
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDB
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDBWebinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDB
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDBMongoDB
 
Oracle EBS Production Support - Recommendations
Oracle EBS Production Support - RecommendationsOracle EBS Production Support - Recommendations
Oracle EBS Production Support - RecommendationsVigilant Technologies
 
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talk
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talkHES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talk
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talkHackito Ergo Sum
 
beginners-guide-to-observability.pdf
beginners-guide-to-observability.pdfbeginners-guide-to-observability.pdf
beginners-guide-to-observability.pdfValerioArvizzigno1
 
SplunkLive! Chicago April 2013 - CME Group
SplunkLive! Chicago April 2013 - CME GroupSplunkLive! Chicago April 2013 - CME Group
SplunkLive! Chicago April 2013 - CME GroupSplunk
 
Its Not You Its Me MSSP Couples Counseling
Its Not You Its Me   MSSP Couples CounselingIts Not You Its Me   MSSP Couples Counseling
Its Not You Its Me MSSP Couples CounselingAtif Ghauri
 
Monitoring Oracle SOA Suite - UKOUG Tech15 2015
Monitoring Oracle SOA Suite - UKOUG Tech15 2015Monitoring Oracle SOA Suite - UKOUG Tech15 2015
Monitoring Oracle SOA Suite - UKOUG Tech15 2015C2B2 Consulting
 
Barun_Practical_and_Efficient_SQL_Performance_Tuning
Barun_Practical_and_Efficient_SQL_Performance_TuningBarun_Practical_and_Efficient_SQL_Performance_Tuning
Barun_Practical_and_Efficient_SQL_Performance_TuningVlado Barun
 
Super chargeyourcontiniousintegrationdeployments
Super chargeyourcontiniousintegrationdeploymentsSuper chargeyourcontiniousintegrationdeployments
Super chargeyourcontiniousintegrationdeploymentsNikola Gotsev
 
Supercharge Your Continuous Integration Deployments
Supercharge Your Continuous Integration DeploymentsSupercharge Your Continuous Integration Deployments
Supercharge Your Continuous Integration DeploymentsNikola Gotsev
 
Machine Learning + Analytics in Splunk
Machine Learning + Analytics in Splunk Machine Learning + Analytics in Splunk
Machine Learning + Analytics in Splunk Splunk
 

Similar to Five pillars of Infrastructure Monitoring (20)

Splunk Insights
Splunk InsightsSplunk Insights
Splunk Insights
 
Customer Presentation
Customer PresentationCustomer Presentation
Customer Presentation
 
SplunkSummit 2015 - A Quick Guide to Search Optimization
SplunkSummit 2015 - A Quick Guide to Search OptimizationSplunkSummit 2015 - A Quick Guide to Search Optimization
SplunkSummit 2015 - A Quick Guide to Search Optimization
 
My Keynote from BSidesTampa 2015 (video in description)
My Keynote from BSidesTampa 2015 (video in description)My Keynote from BSidesTampa 2015 (video in description)
My Keynote from BSidesTampa 2015 (video in description)
 
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...
Using Metrics for Fun, Developing with the KV Store + Javascript & News from ...
 
Splunk
SplunkSplunk
Splunk
 
ETL Observability: Azure to Snowflake Presentation
ETL Observability: Azure to Snowflake PresentationETL Observability: Azure to Snowflake Presentation
ETL Observability: Azure to Snowflake Presentation
 
Se6162 analysis concept and principles
Se6162 analysis concept and principlesSe6162 analysis concept and principles
Se6162 analysis concept and principles
 
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech Day
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech DaySplunk Fundamentals: Investigations with Core Splunk - Splunk Tech Day
Splunk Fundamentals: Investigations with Core Splunk - Splunk Tech Day
 
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDB
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDBWebinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDB
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDB
 
Oracle EBS Production Support - Recommendations
Oracle EBS Production Support - RecommendationsOracle EBS Production Support - Recommendations
Oracle EBS Production Support - Recommendations
 
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talk
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talkHES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talk
HES 2011 - Gal Diskin - Binary instrumentation for hackers - Lightning-talk
 
beginners-guide-to-observability.pdf
beginners-guide-to-observability.pdfbeginners-guide-to-observability.pdf
beginners-guide-to-observability.pdf
 
SplunkLive! Chicago April 2013 - CME Group
SplunkLive! Chicago April 2013 - CME GroupSplunkLive! Chicago April 2013 - CME Group
SplunkLive! Chicago April 2013 - CME Group
 
Its Not You Its Me MSSP Couples Counseling
Its Not You Its Me   MSSP Couples CounselingIts Not You Its Me   MSSP Couples Counseling
Its Not You Its Me MSSP Couples Counseling
 
Monitoring Oracle SOA Suite - UKOUG Tech15 2015
Monitoring Oracle SOA Suite - UKOUG Tech15 2015Monitoring Oracle SOA Suite - UKOUG Tech15 2015
Monitoring Oracle SOA Suite - UKOUG Tech15 2015
 
Barun_Practical_and_Efficient_SQL_Performance_Tuning
Barun_Practical_and_Efficient_SQL_Performance_TuningBarun_Practical_and_Efficient_SQL_Performance_Tuning
Barun_Practical_and_Efficient_SQL_Performance_Tuning
 
Super chargeyourcontiniousintegrationdeployments
Super chargeyourcontiniousintegrationdeploymentsSuper chargeyourcontiniousintegrationdeployments
Super chargeyourcontiniousintegrationdeployments
 
Supercharge Your Continuous Integration Deployments
Supercharge Your Continuous Integration DeploymentsSupercharge Your Continuous Integration Deployments
Supercharge Your Continuous Integration Deployments
 
Machine Learning + Analytics in Splunk
Machine Learning + Analytics in Splunk Machine Learning + Analytics in Splunk
Machine Learning + Analytics in Splunk
 

More from Daniel Koller

IoT Applications based on LoRaWan
IoT Applications based on LoRaWanIoT Applications based on LoRaWan
IoT Applications based on LoRaWanDaniel Koller
 
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay Heidelberg
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay HeidelbergTheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay Heidelberg
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay HeidelbergDaniel Koller
 
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.Daniel Koller
 
A intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsA intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsDaniel Koller
 
R Intro for Munich Google IO Extended
R Intro for Munich Google IO ExtendedR Intro for Munich Google IO Extended
R Intro for Munich Google IO ExtendedDaniel Koller
 
Big data 4 webmonday
Big data 4 webmondayBig data 4 webmonday
Big data 4 webmondayDaniel Koller
 
OpenStreetMap: Nutzung & Integration
OpenStreetMap: Nutzung & IntegrationOpenStreetMap: Nutzung & Integration
OpenStreetMap: Nutzung & IntegrationDaniel Koller
 
Linked Data in the Enterprise
Linked Data in the EnterpriseLinked Data in the Enterprise
Linked Data in the EnterpriseDaniel Koller
 

More from Daniel Koller (10)

LoRaWan 4 SITBern
LoRaWan 4 SITBernLoRaWan 4 SITBern
LoRaWan 4 SITBern
 
IoT Applications based on LoRaWan
IoT Applications based on LoRaWanIoT Applications based on LoRaWan
IoT Applications based on LoRaWan
 
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay Heidelberg
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay HeidelbergTheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay Heidelberg
TheThingsNetwork Rhein-Neckar/LoRaWan @OpenDataDay Heidelberg
 
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.
TheThingsNetwork Rhein-Neckar - Kurz-Pitch für den 22.2.
 
Intro to AWS IOT
Intro to AWS IOTIntro to AWS IOT
Intro to AWS IOT
 
A intro to (hosted) Shiny Apps
A intro to (hosted) Shiny AppsA intro to (hosted) Shiny Apps
A intro to (hosted) Shiny Apps
 
R Intro for Munich Google IO Extended
R Intro for Munich Google IO ExtendedR Intro for Munich Google IO Extended
R Intro for Munich Google IO Extended
 
Big data 4 webmonday
Big data 4 webmondayBig data 4 webmonday
Big data 4 webmonday
 
OpenStreetMap: Nutzung & Integration
OpenStreetMap: Nutzung & IntegrationOpenStreetMap: Nutzung & Integration
OpenStreetMap: Nutzung & Integration
 
Linked Data in the Enterprise
Linked Data in the EnterpriseLinked Data in the Enterprise
Linked Data in the Enterprise
 

Recently uploaded

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
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
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
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
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxfnnc6jmgwh
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 

Recently uploaded (20)

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
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
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
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
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 

Five pillars of Infrastructure Monitoring

  • 1. Five pillars of Infrastructure Monitoring DANIEL KOLLER, @DAKOLLER FOR #SITFRA
  • 2. 1. Know your infrastructure stack
  • 3. 1. Know your infrastructure stack • Make sure your infrastructure information is complete and current. • Tools, which contain non- current information, are not used. • Aim for an automated & repeatable process of information collection. aws ec2 describe-instances --instance-ids i-5203422c
  • 4. 2. Know your monitoring tools
  • 5. 2. Know your monitoring tools • In todays world, vendors often merge management tools with monitoring functions. • You‘ll want to benefit from these very specific tools, so you‘ll end up using them. (sometimes you have to) • Be clear in your organization, what you monitor how. • Check completeness of landscape
  • 6. 3. Consolidate your monitoring output
  • 7. 3. Consolidate your monitoring output • You‘ll want to have a consolidated view of your monitoring output. • Potential tools for that the ELK stack, Splunk or SAP ITOA. • Work on sensible thresholds & alerts • Consolidated view simplifies tasks such as root cause analysis & pattern finding. • Visualization helps! (Health status)
  • 8. 4. Setup of proper support organization
  • 9. 4. Setup of proper support organization • Thousands of alerts … • Not everything has to go to the service desk („Self-healing“) • Service desk needs to know what to do with monitoring output • Enable fast impact detection • How do you inform your customers? • Look regularly at repeating causes for issues
  • 10. 5. Make it smart
  • 11. 5. Make it smart • Follow event chains across the infrastructure layers (Markov chains may help) • Predict events based on history
  • 12. Something to take away Know your infrastructure stack Know your monitoring tools Consolidate your monitoring output Setup of proper support organization Make it smart