SlideShare a Scribd company logo
1 of 33
Monitoring in a
Scalable World
Jacob Tomlinson
Senior Solutions Engineer
Agenda
● The Informatics Lab
(10 mins)
● What makes a monitoring system ? (10 mins)
● Overview of technologies (10 mins)
● Making it scale
(10 mins)
● Questions
(10 mins)
Demystify
Buzzwords
Prototypes
www.informaticslab.co.uk
What is a
monitoring
system?
Logs vs Telemetry
Twelve-Factor App
XI. Logs
Treat logs as event streams
12factor.net
Components
Collection
Storage
Aggregation
&
Dashboards
Alerting
Monitoring
technologies
Managed services
Telegraf cAdvisor FilebeatTelegraf cAdvisor Filebeat
NGINX
Grafana Kibana
InfluxDB ElasticSearch
Logstash
Telegraf cAdvisor Filebeat
Lab Monitoring Stack v1
Kapacitor
Scaling
Scalability vs Availability
NGINX
Grafana Kibana
InfluxDB ElasticSearch
Logstash
Telegraf cAdvisor Filebeat
Kapacitor
NGINX
Grafana Kibana
InfluxDB ElasticSearch
Logstash
Telegraf cAdvisor Filebeat
Kapacitor
NGINX
Grafana Kibana
InfluxDB ElasticSearch
Logstash
Telegraf cAdvisor Filebeat
Kapacitor
Telegraf cAdvisor Filebeat
InfluxDB ElasticSearch
Kapacitor
Logstash
NGINX
Grafana Kibana
InfluxDB ElasticSearch
Logstash
Telegraf cAdvisor Filebeat
Kapacitor
Telegraf cAdvisor Filebeat
InfluxDB ElasticSearch
Logstash
NGINX
Grafana Kibana
NGINXGrafana Kibana
InfluxDB ElasticSearch
Logstash
cAdvisor Filebeat
Lab Monitoring Stack v2
Kapacitor
Telegraf
ELB
PostgreSQL
Questions
Jacob Tomlinson
www.informaticslab.co.uk
@_jacobtomlinson
inlb.co/tech-exeter-2016

More Related Content

What's hot

Time Series Database and Tick Stack
Time Series Database and Tick StackTime Series Database and Tick Stack
Time Series Database and Tick StackGianluca Arbezzano
 
Beautiful Monitoring With Grafana and InfluxDB
Beautiful Monitoring With Grafana and InfluxDBBeautiful Monitoring With Grafana and InfluxDB
Beautiful Monitoring With Grafana and InfluxDBleesjensen
 
Timeseries - data visualization in Grafana
Timeseries - data visualization in GrafanaTimeseries - data visualization in Grafana
Timeseries - data visualization in GrafanaOCoderFest
 
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...Hakka Labs
 
Kafka practical experience
Kafka practical experienceKafka practical experience
Kafka practical experienceRico Chen
 
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
 Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDogRedis Labs
 
Apache Flink Training Workshop @ HadoopCon2016 - #1 System Overview
Apache Flink Training Workshop @ HadoopCon2016 - #1 System OverviewApache Flink Training Workshop @ HadoopCon2016 - #1 System Overview
Apache Flink Training Workshop @ HadoopCon2016 - #1 System OverviewApache Flink Taiwan User Group
 
Monitoring NGINX (plus): key metrics and how-to
Monitoring NGINX (plus): key metrics and how-toMonitoring NGINX (plus): key metrics and how-to
Monitoring NGINX (plus): key metrics and how-toDatadog
 
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia Gupta
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia GuptaIntro to InfluxDB 2.0 and Your First Flux Query by Sonia Gupta
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia GuptaInfluxData
 
Scaling an ELK stack at bol.com
Scaling an ELK stack at bol.comScaling an ELK stack at bol.com
Scaling an ELK stack at bol.comRenzo Tomà
 
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overview
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overviewFlink Forward SF 2017: Kenneth Knowles - Back to Sessions overview
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overviewFlink Forward
 
Need for Time series Database
Need for Time series DatabaseNeed for Time series Database
Need for Time series DatabasePramit Choudhary
 
Nginx monitoring with graphite
Nginx monitoring with graphiteNginx monitoring with graphite
Nginx monitoring with graphitedamaex17
 
Best Practices for Scaling an InfluxEnterprise Cluster
Best Practices for Scaling an InfluxEnterprise ClusterBest Practices for Scaling an InfluxEnterprise Cluster
Best Practices for Scaling an InfluxEnterprise ClusterInfluxData
 
How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.Renzo Tomà
 
Kafka on Kubernetes—From Evaluation to Production at Intuit
Kafka on Kubernetes—From Evaluation to Production at Intuit Kafka on Kubernetes—From Evaluation to Production at Intuit
Kafka on Kubernetes—From Evaluation to Production at Intuit confluent
 

What's hot (20)

Time Series Database and Tick Stack
Time Series Database and Tick StackTime Series Database and Tick Stack
Time Series Database and Tick Stack
 
InfluxDb
InfluxDbInfluxDb
InfluxDb
 
Beautiful Monitoring With Grafana and InfluxDB
Beautiful Monitoring With Grafana and InfluxDBBeautiful Monitoring With Grafana and InfluxDB
Beautiful Monitoring With Grafana and InfluxDB
 
Introduction to influx db
Introduction to influx dbIntroduction to influx db
Introduction to influx db
 
Timeseries - data visualization in Grafana
Timeseries - data visualization in GrafanaTimeseries - data visualization in Grafana
Timeseries - data visualization in Grafana
 
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
 
Kafka practical experience
Kafka practical experienceKafka practical experience
Kafka practical experience
 
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
 Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
 
Apache Flink Training Workshop @ HadoopCon2016 - #1 System Overview
Apache Flink Training Workshop @ HadoopCon2016 - #1 System OverviewApache Flink Training Workshop @ HadoopCon2016 - #1 System Overview
Apache Flink Training Workshop @ HadoopCon2016 - #1 System Overview
 
Monitoring NGINX (plus): key metrics and how-to
Monitoring NGINX (plus): key metrics and how-toMonitoring NGINX (plus): key metrics and how-to
Monitoring NGINX (plus): key metrics and how-to
 
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia Gupta
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia GuptaIntro to InfluxDB 2.0 and Your First Flux Query by Sonia Gupta
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia Gupta
 
Scaling an ELK stack at bol.com
Scaling an ELK stack at bol.comScaling an ELK stack at bol.com
Scaling an ELK stack at bol.com
 
Apache airflow
Apache airflowApache airflow
Apache airflow
 
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overview
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overviewFlink Forward SF 2017: Kenneth Knowles - Back to Sessions overview
Flink Forward SF 2017: Kenneth Knowles - Back to Sessions overview
 
Need for Time series Database
Need for Time series DatabaseNeed for Time series Database
Need for Time series Database
 
Nginx monitoring with graphite
Nginx monitoring with graphiteNginx monitoring with graphite
Nginx monitoring with graphite
 
Airflow introduction
Airflow introductionAirflow introduction
Airflow introduction
 
Best Practices for Scaling an InfluxEnterprise Cluster
Best Practices for Scaling an InfluxEnterprise ClusterBest Practices for Scaling an InfluxEnterprise Cluster
Best Practices for Scaling an InfluxEnterprise Cluster
 
How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.
 
Kafka on Kubernetes—From Evaluation to Production at Intuit
Kafka on Kubernetes—From Evaluation to Production at Intuit Kafka on Kubernetes—From Evaluation to Production at Intuit
Kafka on Kubernetes—From Evaluation to Production at Intuit
 

Viewers also liked

Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)
Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)
Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)Seungmin Yu
 
Scalable Monitoring & Alerting
Scalable Monitoring & AlertingScalable Monitoring & Alerting
Scalable Monitoring & AlertingFranklin Angulo
 
Time Series Data with InfluxDB
Time Series Data with InfluxDBTime Series Data with InfluxDB
Time Series Data with InfluxDBTuri, Inc.
 
Native container monitoring
Native container monitoringNative container monitoring
Native container monitoringRohit Jnagal
 
Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Brian Brazil
 
How to Monitor Application Performance in a Container-Based World
How to Monitor Application Performance in a Container-Based WorldHow to Monitor Application Performance in a Container-Based World
How to Monitor Application Performance in a Container-Based WorldKen Owens
 
Sysdig Monitorama Slides
Sysdig Monitorama SlidesSysdig Monitorama Slides
Sysdig Monitorama SlidesLoris Degioanni
 
Introduction to Cassandra: Replication and Consistency
Introduction to Cassandra: Replication and ConsistencyIntroduction to Cassandra: Replication and Consistency
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
 
Analyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and CassandraAnalyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and CassandraPatrick McFadin
 
SREcon 2016 Performance Checklists for SREs
SREcon 2016 Performance Checklists for SREsSREcon 2016 Performance Checklists for SREs
SREcon 2016 Performance Checklists for SREsBrendan Gregg
 
DockerCon EU 2015: Docker Monitoring
DockerCon EU 2015: Docker MonitoringDockerCon EU 2015: Docker Monitoring
DockerCon EU 2015: Docker MonitoringDocker, Inc.
 
TEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of WorkTEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of WorkVolker Hirsch
 

Viewers also liked (14)

Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)
Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)
Custom DevOps Monitoring System in MelOn (with InfluxDB + Telegraf + Grafana)
 
MPLS-TE Fault Tolerance
MPLS-TE Fault ToleranceMPLS-TE Fault Tolerance
MPLS-TE Fault Tolerance
 
Scalable Monitoring & Alerting
Scalable Monitoring & AlertingScalable Monitoring & Alerting
Scalable Monitoring & Alerting
 
Time Series Data with InfluxDB
Time Series Data with InfluxDBTime Series Data with InfluxDB
Time Series Data with InfluxDB
 
Native container monitoring
Native container monitoringNative container monitoring
Native container monitoring
 
Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)
 
How to Monitor Application Performance in a Container-Based World
How to Monitor Application Performance in a Container-Based WorldHow to Monitor Application Performance in a Container-Based World
How to Monitor Application Performance in a Container-Based World
 
Sysdig Monitorama Slides
Sysdig Monitorama SlidesSysdig Monitorama Slides
Sysdig Monitorama Slides
 
Introduction to Cassandra: Replication and Consistency
Introduction to Cassandra: Replication and ConsistencyIntroduction to Cassandra: Replication and Consistency
Introduction to Cassandra: Replication and Consistency
 
Analyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and CassandraAnalyzing Time Series Data with Apache Spark and Cassandra
Analyzing Time Series Data with Apache Spark and Cassandra
 
SREcon 2016 Performance Checklists for SREs
SREcon 2016 Performance Checklists for SREsSREcon 2016 Performance Checklists for SREs
SREcon 2016 Performance Checklists for SREs
 
Container orchestration
Container orchestrationContainer orchestration
Container orchestration
 
DockerCon EU 2015: Docker Monitoring
DockerCon EU 2015: Docker MonitoringDockerCon EU 2015: Docker Monitoring
DockerCon EU 2015: Docker Monitoring
 
TEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of WorkTEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of Work
 

Similar to Monitoring in a scalable world

YOW2018 Cloud Performance Root Cause Analysis at Netflix
YOW2018 Cloud Performance Root Cause Analysis at NetflixYOW2018 Cloud Performance Root Cause Analysis at Netflix
YOW2018 Cloud Performance Root Cause Analysis at NetflixBrendan Gregg
 
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris OW2
 
Netflix Keystone—Cloud scale event processing pipeline
Netflix Keystone—Cloud scale event processing pipelineNetflix Keystone—Cloud scale event processing pipeline
Netflix Keystone—Cloud scale event processing pipelineMonal Daxini
 
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)Testing applications with traffic control in containers / Alban Crequy (Kinvolk)
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)Ontico
 
Observability from the Home
Observability from the HomeObservability from the Home
Observability from the HomeFaithWestdorp
 
nextcomputing-cyberpro
nextcomputing-cyberpronextcomputing-cyberpro
nextcomputing-cyberproblabadini
 
Yannis Zarkadas. Enterprise data science workflows on kubeflow
Yannis Zarkadas. Enterprise data science workflows on kubeflowYannis Zarkadas. Enterprise data science workflows on kubeflow
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
 
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...Lviv Startup Club
 
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/Sec
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/SecNetflix Keystone - How Netflix Handles Data Streams up to 11M Events/Sec
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/SecPeter Bakas
 
K. Tzoumas & S. Ewen – Flink Forward Keynote
K. Tzoumas & S. Ewen – Flink Forward KeynoteK. Tzoumas & S. Ewen – Flink Forward Keynote
K. Tzoumas & S. Ewen – Flink Forward KeynoteFlink Forward
 
Flink forward-2017-netflix keystones-paas
Flink forward-2017-netflix keystones-paasFlink forward-2017-netflix keystones-paas
Flink forward-2017-netflix keystones-paasMonal Daxini
 
C++ for Marine Streamer Positioning and Navigation - ACCU 2011
C++ for Marine Streamer Positioning and Navigation - ACCU 2011C++ for Marine Streamer Positioning and Navigation - ACCU 2011
C++ for Marine Streamer Positioning and Navigation - ACCU 2011Mike Long
 
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...NETWAYS
 
Using Elastic to Monitor Anything
Using Elastic to Monitor Anything Using Elastic to Monitor Anything
Using Elastic to Monitor Anything Idan Tohami
 
Circonus: Design failures - A Case Study
Circonus: Design failures - A Case StudyCirconus: Design failures - A Case Study
Circonus: Design failures - A Case StudyHeinrich Hartmann
 
Beaming flink to the cloud @ netflix ff 2016-monal-daxini
Beaming flink to the cloud @ netflix   ff 2016-monal-daxiniBeaming flink to the cloud @ netflix   ff 2016-monal-daxini
Beaming flink to the cloud @ netflix ff 2016-monal-daxiniMonal Daxini
 
Monal Daxini - Beaming Flink to the Cloud @ Netflix
Monal Daxini - Beaming Flink to the Cloud @ NetflixMonal Daxini - Beaming Flink to the Cloud @ Netflix
Monal Daxini - Beaming Flink to the Cloud @ NetflixFlink Forward
 
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...Ontico
 
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code Review
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code ReviewJenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code Review
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code ReviewLuca Milanesio
 

Similar to Monitoring in a scalable world (20)

YOW2018 Cloud Performance Root Cause Analysis at Netflix
YOW2018 Cloud Performance Root Cause Analysis at NetflixYOW2018 Cloud Performance Root Cause Analysis at Netflix
YOW2018 Cloud Performance Root Cause Analysis at Netflix
 
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris
Benmarking Orange Forge with CLIF, OW2con'15, November 17, Paris
 
Netflix Keystone—Cloud scale event processing pipeline
Netflix Keystone—Cloud scale event processing pipelineNetflix Keystone—Cloud scale event processing pipeline
Netflix Keystone—Cloud scale event processing pipeline
 
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)Testing applications with traffic control in containers / Alban Crequy (Kinvolk)
Testing applications with traffic control in containers / Alban Crequy (Kinvolk)
 
Observability from the Home
Observability from the HomeObservability from the Home
Observability from the Home
 
nextcomputing-cyberpro
nextcomputing-cyberpronextcomputing-cyberpro
nextcomputing-cyberpro
 
Yannis Zarkadas. Enterprise data science workflows on kubeflow
Yannis Zarkadas. Enterprise data science workflows on kubeflowYannis Zarkadas. Enterprise data science workflows on kubeflow
Yannis Zarkadas. Enterprise data science workflows on kubeflow
 
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...
Yannis Zarkadas. Stefano Fioravanzo. Enterprise data science workflows on kub...
 
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/Sec
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/SecNetflix Keystone - How Netflix Handles Data Streams up to 11M Events/Sec
Netflix Keystone - How Netflix Handles Data Streams up to 11M Events/Sec
 
K. Tzoumas & S. Ewen – Flink Forward Keynote
K. Tzoumas & S. Ewen – Flink Forward KeynoteK. Tzoumas & S. Ewen – Flink Forward Keynote
K. Tzoumas & S. Ewen – Flink Forward Keynote
 
Flink forward-2017-netflix keystones-paas
Flink forward-2017-netflix keystones-paasFlink forward-2017-netflix keystones-paas
Flink forward-2017-netflix keystones-paas
 
C++ for Marine Streamer Positioning and Navigation - ACCU 2011
C++ for Marine Streamer Positioning and Navigation - ACCU 2011C++ for Marine Streamer Positioning and Navigation - ACCU 2011
C++ for Marine Streamer Positioning and Navigation - ACCU 2011
 
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...
OSMC 2022 | The Power of Metrics, Logs & Traces with Open Source by Emil-Andr...
 
Using Elastic to Monitor Anything
Using Elastic to Monitor Anything Using Elastic to Monitor Anything
Using Elastic to Monitor Anything
 
Circonus: Design failures - A Case Study
Circonus: Design failures - A Case StudyCirconus: Design failures - A Case Study
Circonus: Design failures - A Case Study
 
Beaming flink to the cloud @ netflix ff 2016-monal-daxini
Beaming flink to the cloud @ netflix   ff 2016-monal-daxiniBeaming flink to the cloud @ netflix   ff 2016-monal-daxini
Beaming flink to the cloud @ netflix ff 2016-monal-daxini
 
Monal Daxini - Beaming Flink to the Cloud @ Netflix
Monal Daxini - Beaming Flink to the Cloud @ NetflixMonal Daxini - Beaming Flink to the Cloud @ Netflix
Monal Daxini - Beaming Flink to the Cloud @ Netflix
 
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...
Мониторинг облачной CI-системы на примере Jenkins / Александр Акбашев (HERE T...
 
Cloud CI Monitoring
Cloud CI MonitoringCloud CI Monitoring
Cloud CI Monitoring
 
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code Review
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code ReviewJenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code Review
Jenkins world 2017 - Data-Driven CI Pipeline with Gerrit Code Review
 

More from TechExeter

Exeter Science Centre, by Natalie Whitehead
Exeter Science Centre, by Natalie WhiteheadExeter Science Centre, by Natalie Whitehead
Exeter Science Centre, by Natalie WhiteheadTechExeter
 
South West InternetOfThings Network by Wo King
South West InternetOfThings Network by Wo KingSouth West InternetOfThings Network by Wo King
South West InternetOfThings Network by Wo KingTechExeter
 
Generative Adversarial Networks by Tariq Rashid
Generative Adversarial Networks by Tariq RashidGenerative Adversarial Networks by Tariq Rashid
Generative Adversarial Networks by Tariq RashidTechExeter
 
Conf 2019 - Workshop: Liam Glanfield - know your threat actor
Conf 2019 - Workshop: Liam Glanfield - know your threat actorConf 2019 - Workshop: Liam Glanfield - know your threat actor
Conf 2019 - Workshop: Liam Glanfield - know your threat actorTechExeter
 
Conf 2018 Track 1 - Unicorns aren't real
Conf 2018 Track 1 - Unicorns aren't realConf 2018 Track 1 - Unicorns aren't real
Conf 2018 Track 1 - Unicorns aren't realTechExeter
 
Conf 2018 Track 1 - Aerospace Innovation
Conf 2018 Track 1 - Aerospace InnovationConf 2018 Track 1 - Aerospace Innovation
Conf 2018 Track 1 - Aerospace InnovationTechExeter
 
Conf 2018 Track 2 - Try Elm
Conf 2018 Track 2 - Try ElmConf 2018 Track 2 - Try Elm
Conf 2018 Track 2 - Try ElmTechExeter
 
Conf 2018 Track 3 - Creating marine geospatial services
Conf 2018 Track 3 - Creating marine geospatial servicesConf 2018 Track 3 - Creating marine geospatial services
Conf 2018 Track 3 - Creating marine geospatial servicesTechExeter
 
Conf 2018 Track 2 - Machine Learning with TensorFlow
Conf 2018 Track 2 - Machine Learning with TensorFlowConf 2018 Track 2 - Machine Learning with TensorFlow
Conf 2018 Track 2 - Machine Learning with TensorFlowTechExeter
 
Conf 2018 Track 2 - Custom Web Elements with Stencil
Conf 2018 Track 2 - Custom Web Elements with StencilConf 2018 Track 2 - Custom Web Elements with Stencil
Conf 2018 Track 2 - Custom Web Elements with StencilTechExeter
 
Conf 2018 Track 1 - Tessl / revolutionising the house moving process
Conf 2018 Track 1 - Tessl / revolutionising the house moving processConf 2018 Track 1 - Tessl / revolutionising the house moving process
Conf 2018 Track 1 - Tessl / revolutionising the house moving processTechExeter
 
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UK
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UKConf 2018 Keynote - Andy Stanford-Clark, CTO IBM UK
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UKTechExeter
 
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...Conf 2018 Track 3 - Microservices - What I've learned after a year building s...
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...TechExeter
 
Gps behaving badly - Guy Busenel
Gps behaving badly - Guy BusenelGps behaving badly - Guy Busenel
Gps behaving badly - Guy BusenelTechExeter
 
Why Isn't My Query Using an Index?: An Introduction to SQL Performance
Why Isn't My Query Using an Index?: An Introduction to SQL Performance Why Isn't My Query Using an Index?: An Introduction to SQL Performance
Why Isn't My Query Using an Index?: An Introduction to SQL Performance TechExeter
 
Turning Developers into Testers
Turning Developers into TestersTurning Developers into Testers
Turning Developers into TestersTechExeter
 
Remote working
Remote workingRemote working
Remote workingTechExeter
 
Developing an Agile Mindset
Developing an Agile Mindset Developing an Agile Mindset
Developing an Agile Mindset TechExeter
 
Think like a gardener
Think like a gardenerThink like a gardener
Think like a gardenerTechExeter
 
The trials and tribulations of providing engineering infrastructure
 The trials and tribulations of providing engineering infrastructure  The trials and tribulations of providing engineering infrastructure
The trials and tribulations of providing engineering infrastructure TechExeter
 

More from TechExeter (20)

Exeter Science Centre, by Natalie Whitehead
Exeter Science Centre, by Natalie WhiteheadExeter Science Centre, by Natalie Whitehead
Exeter Science Centre, by Natalie Whitehead
 
South West InternetOfThings Network by Wo King
South West InternetOfThings Network by Wo KingSouth West InternetOfThings Network by Wo King
South West InternetOfThings Network by Wo King
 
Generative Adversarial Networks by Tariq Rashid
Generative Adversarial Networks by Tariq RashidGenerative Adversarial Networks by Tariq Rashid
Generative Adversarial Networks by Tariq Rashid
 
Conf 2019 - Workshop: Liam Glanfield - know your threat actor
Conf 2019 - Workshop: Liam Glanfield - know your threat actorConf 2019 - Workshop: Liam Glanfield - know your threat actor
Conf 2019 - Workshop: Liam Glanfield - know your threat actor
 
Conf 2018 Track 1 - Unicorns aren't real
Conf 2018 Track 1 - Unicorns aren't realConf 2018 Track 1 - Unicorns aren't real
Conf 2018 Track 1 - Unicorns aren't real
 
Conf 2018 Track 1 - Aerospace Innovation
Conf 2018 Track 1 - Aerospace InnovationConf 2018 Track 1 - Aerospace Innovation
Conf 2018 Track 1 - Aerospace Innovation
 
Conf 2018 Track 2 - Try Elm
Conf 2018 Track 2 - Try ElmConf 2018 Track 2 - Try Elm
Conf 2018 Track 2 - Try Elm
 
Conf 2018 Track 3 - Creating marine geospatial services
Conf 2018 Track 3 - Creating marine geospatial servicesConf 2018 Track 3 - Creating marine geospatial services
Conf 2018 Track 3 - Creating marine geospatial services
 
Conf 2018 Track 2 - Machine Learning with TensorFlow
Conf 2018 Track 2 - Machine Learning with TensorFlowConf 2018 Track 2 - Machine Learning with TensorFlow
Conf 2018 Track 2 - Machine Learning with TensorFlow
 
Conf 2018 Track 2 - Custom Web Elements with Stencil
Conf 2018 Track 2 - Custom Web Elements with StencilConf 2018 Track 2 - Custom Web Elements with Stencil
Conf 2018 Track 2 - Custom Web Elements with Stencil
 
Conf 2018 Track 1 - Tessl / revolutionising the house moving process
Conf 2018 Track 1 - Tessl / revolutionising the house moving processConf 2018 Track 1 - Tessl / revolutionising the house moving process
Conf 2018 Track 1 - Tessl / revolutionising the house moving process
 
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UK
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UKConf 2018 Keynote - Andy Stanford-Clark, CTO IBM UK
Conf 2018 Keynote - Andy Stanford-Clark, CTO IBM UK
 
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...Conf 2018 Track 3 - Microservices - What I've learned after a year building s...
Conf 2018 Track 3 - Microservices - What I've learned after a year building s...
 
Gps behaving badly - Guy Busenel
Gps behaving badly - Guy BusenelGps behaving badly - Guy Busenel
Gps behaving badly - Guy Busenel
 
Why Isn't My Query Using an Index?: An Introduction to SQL Performance
Why Isn't My Query Using an Index?: An Introduction to SQL Performance Why Isn't My Query Using an Index?: An Introduction to SQL Performance
Why Isn't My Query Using an Index?: An Introduction to SQL Performance
 
Turning Developers into Testers
Turning Developers into TestersTurning Developers into Testers
Turning Developers into Testers
 
Remote working
Remote workingRemote working
Remote working
 
Developing an Agile Mindset
Developing an Agile Mindset Developing an Agile Mindset
Developing an Agile Mindset
 
Think like a gardener
Think like a gardenerThink like a gardener
Think like a gardener
 
The trials and tribulations of providing engineering infrastructure
 The trials and tribulations of providing engineering infrastructure  The trials and tribulations of providing engineering infrastructure
The trials and tribulations of providing engineering infrastructure
 

Recently uploaded

My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
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
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
"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
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
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
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Recently uploaded (20)

My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
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?
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
"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
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
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
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

Monitoring in a scalable world

Editor's Notes

  1. Introduce myself
  2. Informatics Lab
  3. Demystify Buzzwords
  4. Organisation using AWS & Azure Lab using AWS, but not for any particular reason
  5. Heroku
  6. CPU/Mem HTTP response codes
  7. Introduce myself