The DevOps 2.2 Toolkit :: Self-Sufficient Docker Clusters.
Viktor Farcic's latest book, The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, takes you deeper into Docker, teaching you with a mixture of theory and hands-on how to successfully build both self-adaptive and self-healing-based systems.
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham :
Packt Publishing,
2018.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Viktor Farcic's latest book, The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, takes you deeper into Docker, teaching you with a mixture of theory and hands-on how to successfully build both self-adaptive and self-healing-based systems. |
Beschreibung: | Scaling services automatically. |
Beschreibung: | 1 online resource (344 pages) |
ISBN: | 9781788996778 1788996771 1788991273 9781788991278 |
Internformat
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245 | 1 | 4 | |a The DevOps 2.2 Toolkit : |b Self-Sufficient Docker Clusters. |
260 | |a Birmingham : |b Packt Publishing, |c 2018. | ||
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505 | 0 | |a Cover; Title Page; Copyright; Dedication; Contributor; Packt Upsell; Table of Contents; Preface; Chapter 1: Introduction to Self-Adapting and Self-Healing Systems; What is a self-adaptive system?; What is a self-healing system?; What now?; Chapter 2: Choosing a Solution for Metrics Storage and Query; Non-dimensional versus dimensional metrics; Graphite; InfluxDB; Nagios and Sensu; Prometheus; Which tool should we choose?; What now?; Chapter 3: Deploying and Configuring Prometheus; Deploying Prometheus stack; Designing a more dynamic monitoring solution; Deploying Docker Flow Monitor. | |
505 | 8 | |a Integrating Docker Flow Monitor with Docker Flow ProxyWhat now?; Chapter 4: Scraping Metrics; Creating the cluster and deploying services; Deploying exporters; Exploring exporter metrics; Querying metrics; Updating service constraints; Using memory reservations and limits in Prometheus; What now?; Chapter 5: Defining Cluster-Wide Alerts; Creating the cluster and deploying services; Creating alerts based on metrics; Defining multiple alerts for a service; Postponing alerts firing; Defining additional alert information through labels and annotations; Using shortcuts to define alerts; What now? | |
505 | 8 | |a Chapter 6: Alerting HumansCreating the cluster and deploying services; Setting up Alertmanager; Using templates in Alertmanager configuration; What now?; Chapter 7: Alerting the System; The four quadrants of a dynamic and self-sufficient system; Chapter 8: Self-Healing Applied to Services; Creating the cluster and deploying services; Using Docker Swarm for self-healing services; Is it enough to have self-healing applied to services?; What now?; Chapter 9: Self-Adaptation Applied to Services; Choosing the tool for scaling; Creating the cluster and deploying services. | |
505 | 8 | |a Preparing the system for alertsCreating a scaling pipeline; Preventing the scaling disaster; Notifying humans that scaling failed; Integrating Alertmanager with Jenkins; What now; Chapter 10: Painting the Big Picture â#x80;#x93; The Self-Sufficient System Thus Far; Developer's role in the system; Continuous deployment role in the system; Service configuration role in the system; Proxy role in the system; Metrics role in the system; Alerting role in the system; Scheduler role in the system; Cluster role in the system; What now?; Chapter 11: Instrumenting Services. | |
505 | 8 | |a Defining requirements behind service specific metricsDifferentiating services based on their types; Choosing instrumentation type; Creating the cluster and deploying services; Instrumenting services using counter; Instrumenting services using gauges; Instrumenting services using histograms and summaries; What now?; Chapter 12: Self-Adaptation Applied to Instrumented Services; Setting up the objectives; Creating the cluster and deploying services; Scraping metrics from instrumented services; Querying metrics from instrumented services; Firing alerts based on instrumented metrics. | |
500 | |a Scaling services automatically. | ||
520 | |a Viktor Farcic's latest book, The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, takes you deeper into Docker, teaching you with a mixture of theory and hands-on how to successfully build both self-adaptive and self-healing-based systems. | ||
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650 | 6 | |a Technologie de l'information |x Gestion. | |
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author | Farcic, Viktor |
author_facet | Farcic, Viktor |
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contents | Cover; Title Page; Copyright; Dedication; Contributor; Packt Upsell; Table of Contents; Preface; Chapter 1: Introduction to Self-Adapting and Self-Healing Systems; What is a self-adaptive system?; What is a self-healing system?; What now?; Chapter 2: Choosing a Solution for Metrics Storage and Query; Non-dimensional versus dimensional metrics; Graphite; InfluxDB; Nagios and Sensu; Prometheus; Which tool should we choose?; What now?; Chapter 3: Deploying and Configuring Prometheus; Deploying Prometheus stack; Designing a more dynamic monitoring solution; Deploying Docker Flow Monitor. Integrating Docker Flow Monitor with Docker Flow ProxyWhat now?; Chapter 4: Scraping Metrics; Creating the cluster and deploying services; Deploying exporters; Exploring exporter metrics; Querying metrics; Updating service constraints; Using memory reservations and limits in Prometheus; What now?; Chapter 5: Defining Cluster-Wide Alerts; Creating the cluster and deploying services; Creating alerts based on metrics; Defining multiple alerts for a service; Postponing alerts firing; Defining additional alert information through labels and annotations; Using shortcuts to define alerts; What now? Chapter 6: Alerting HumansCreating the cluster and deploying services; Setting up Alertmanager; Using templates in Alertmanager configuration; What now?; Chapter 7: Alerting the System; The four quadrants of a dynamic and self-sufficient system; Chapter 8: Self-Healing Applied to Services; Creating the cluster and deploying services; Using Docker Swarm for self-healing services; Is it enough to have self-healing applied to services?; What now?; Chapter 9: Self-Adaptation Applied to Services; Choosing the tool for scaling; Creating the cluster and deploying services. Preparing the system for alertsCreating a scaling pipeline; Preventing the scaling disaster; Notifying humans that scaling failed; Integrating Alertmanager with Jenkins; What now; Chapter 10: Painting the Big Picture â#x80;#x93; The Self-Sufficient System Thus Far; Developer's role in the system; Continuous deployment role in the system; Service configuration role in the system; Proxy role in the system; Metrics role in the system; Alerting role in the system; Scheduler role in the system; Cluster role in the system; What now?; Chapter 11: Instrumenting Services. Defining requirements behind service specific metricsDifferentiating services based on their types; Choosing instrumentation type; Creating the cluster and deploying services; Instrumenting services using counter; Instrumenting services using gauges; Instrumenting services using histograms and summaries; What now?; Chapter 12: Self-Adaptation Applied to Instrumented Services; Setting up the objectives; Creating the cluster and deploying services; Scraping metrics from instrumented services; Querying metrics from instrumented services; Firing alerts based on instrumented metrics. |
ctrlnum | (OCoLC)1029505497 |
dewey-full | 005.1 |
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dewey-ones | 005 - Computer programming, programs, data, security |
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discipline | Informatik |
format | Electronic eBook |
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spelling | Farcic, Viktor. The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. Birmingham : Packt Publishing, 2018. 1 online resource (344 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Cover; Title Page; Copyright; Dedication; Contributor; Packt Upsell; Table of Contents; Preface; Chapter 1: Introduction to Self-Adapting and Self-Healing Systems; What is a self-adaptive system?; What is a self-healing system?; What now?; Chapter 2: Choosing a Solution for Metrics Storage and Query; Non-dimensional versus dimensional metrics; Graphite; InfluxDB; Nagios and Sensu; Prometheus; Which tool should we choose?; What now?; Chapter 3: Deploying and Configuring Prometheus; Deploying Prometheus stack; Designing a more dynamic monitoring solution; Deploying Docker Flow Monitor. Integrating Docker Flow Monitor with Docker Flow ProxyWhat now?; Chapter 4: Scraping Metrics; Creating the cluster and deploying services; Deploying exporters; Exploring exporter metrics; Querying metrics; Updating service constraints; Using memory reservations and limits in Prometheus; What now?; Chapter 5: Defining Cluster-Wide Alerts; Creating the cluster and deploying services; Creating alerts based on metrics; Defining multiple alerts for a service; Postponing alerts firing; Defining additional alert information through labels and annotations; Using shortcuts to define alerts; What now? Chapter 6: Alerting HumansCreating the cluster and deploying services; Setting up Alertmanager; Using templates in Alertmanager configuration; What now?; Chapter 7: Alerting the System; The four quadrants of a dynamic and self-sufficient system; Chapter 8: Self-Healing Applied to Services; Creating the cluster and deploying services; Using Docker Swarm for self-healing services; Is it enough to have self-healing applied to services?; What now?; Chapter 9: Self-Adaptation Applied to Services; Choosing the tool for scaling; Creating the cluster and deploying services. Preparing the system for alertsCreating a scaling pipeline; Preventing the scaling disaster; Notifying humans that scaling failed; Integrating Alertmanager with Jenkins; What now; Chapter 10: Painting the Big Picture â#x80;#x93; The Self-Sufficient System Thus Far; Developer's role in the system; Continuous deployment role in the system; Service configuration role in the system; Proxy role in the system; Metrics role in the system; Alerting role in the system; Scheduler role in the system; Cluster role in the system; What now?; Chapter 11: Instrumenting Services. Defining requirements behind service specific metricsDifferentiating services based on their types; Choosing instrumentation type; Creating the cluster and deploying services; Instrumenting services using counter; Instrumenting services using gauges; Instrumenting services using histograms and summaries; What now?; Chapter 12: Self-Adaptation Applied to Instrumented Services; Setting up the objectives; Creating the cluster and deploying services; Scraping metrics from instrumented services; Querying metrics from instrumented services; Firing alerts based on instrumented metrics. Scaling services automatically. Viktor Farcic's latest book, The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, takes you deeper into Docker, teaching you with a mixture of theory and hands-on how to successfully build both self-adaptive and self-healing-based systems. Computer software Development. http://id.loc.gov/authorities/subjects/sh85029535 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Logiciels d'application Développement. Technologie de l'information Gestion. Application software Development fast Computer software Development fast Information technology Management fast has work: The DevOps 2.2 toolkit (Text) https://id.oclc.org/worldcat/entity/E39PCFtxVjVQQTxjMphvqpk7HC https://id.oclc.org/worldcat/ontology/hasWork Print version: Farcic, Viktor. DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. Birmingham : Packt Publishing, ©2018 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1733812 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1733812 Volltext |
spellingShingle | Farcic, Viktor The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. Cover; Title Page; Copyright; Dedication; Contributor; Packt Upsell; Table of Contents; Preface; Chapter 1: Introduction to Self-Adapting and Self-Healing Systems; What is a self-adaptive system?; What is a self-healing system?; What now?; Chapter 2: Choosing a Solution for Metrics Storage and Query; Non-dimensional versus dimensional metrics; Graphite; InfluxDB; Nagios and Sensu; Prometheus; Which tool should we choose?; What now?; Chapter 3: Deploying and Configuring Prometheus; Deploying Prometheus stack; Designing a more dynamic monitoring solution; Deploying Docker Flow Monitor. Integrating Docker Flow Monitor with Docker Flow ProxyWhat now?; Chapter 4: Scraping Metrics; Creating the cluster and deploying services; Deploying exporters; Exploring exporter metrics; Querying metrics; Updating service constraints; Using memory reservations and limits in Prometheus; What now?; Chapter 5: Defining Cluster-Wide Alerts; Creating the cluster and deploying services; Creating alerts based on metrics; Defining multiple alerts for a service; Postponing alerts firing; Defining additional alert information through labels and annotations; Using shortcuts to define alerts; What now? Chapter 6: Alerting HumansCreating the cluster and deploying services; Setting up Alertmanager; Using templates in Alertmanager configuration; What now?; Chapter 7: Alerting the System; The four quadrants of a dynamic and self-sufficient system; Chapter 8: Self-Healing Applied to Services; Creating the cluster and deploying services; Using Docker Swarm for self-healing services; Is it enough to have self-healing applied to services?; What now?; Chapter 9: Self-Adaptation Applied to Services; Choosing the tool for scaling; Creating the cluster and deploying services. Preparing the system for alertsCreating a scaling pipeline; Preventing the scaling disaster; Notifying humans that scaling failed; Integrating Alertmanager with Jenkins; What now; Chapter 10: Painting the Big Picture â#x80;#x93; The Self-Sufficient System Thus Far; Developer's role in the system; Continuous deployment role in the system; Service configuration role in the system; Proxy role in the system; Metrics role in the system; Alerting role in the system; Scheduler role in the system; Cluster role in the system; What now?; Chapter 11: Instrumenting Services. Defining requirements behind service specific metricsDifferentiating services based on their types; Choosing instrumentation type; Creating the cluster and deploying services; Instrumenting services using counter; Instrumenting services using gauges; Instrumenting services using histograms and summaries; What now?; Chapter 12: Self-Adaptation Applied to Instrumented Services; Setting up the objectives; Creating the cluster and deploying services; Scraping metrics from instrumented services; Querying metrics from instrumented services; Firing alerts based on instrumented metrics. Computer software Development. http://id.loc.gov/authorities/subjects/sh85029535 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Logiciels d'application Développement. Technologie de l'information Gestion. Application software Development fast Computer software Development fast Information technology Management fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85029535 http://id.loc.gov/authorities/subjects/sh95009362 http://id.loc.gov/authorities/subjects/sh2008006980 |
title | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_auth | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_exact_search | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_full | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_fullStr | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_full_unstemmed | The DevOps 2.2 Toolkit : Self-Sufficient Docker Clusters. |
title_short | The DevOps 2.2 Toolkit : |
title_sort | devops 2 2 toolkit self sufficient docker clusters |
title_sub | Self-Sufficient Docker Clusters. |
topic | Computer software Development. http://id.loc.gov/authorities/subjects/sh85029535 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Logiciels d'application Développement. Technologie de l'information Gestion. Application software Development fast Computer software Development fast Information technology Management fast |
topic_facet | Computer software Development. Application software Development. Information technology Management. Logiciels d'application Développement. Technologie de l'information Gestion. Application software Development Computer software Development Information technology Management |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1733812 |
work_keys_str_mv | AT farcicviktor thedevops22toolkitselfsufficientdockerclusters AT farcicviktor devops22toolkitselfsufficientdockerclusters |