�ݺ�ߣshows by User: Dieterbe

�ݺ�ߣshows by User: Dieterbe / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Dieterbe / Thu, 19 Mar 2020 08:17:46 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Dieterbe Grafana 7.0 Preview - Meetup Tel Aviv Yafo /Dieterbe/grafana-70-preview-meetup-tel-aviv-yafo grafana7-200319081746
March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/]]>
March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/]]> Thu, 19 Mar 2020 08:17:46 GMT /Dieterbe/grafana-70-preview-meetup-tel-aviv-yafo Dieterbe@slideshare.net(Dieterbe) Grafana 7.0 Preview - Meetup Tel Aviv Yafo Dieterbe March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/grafana7-200319081746-thumbnail.jpg?width=120&height=120&fit=bounds" /> March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/

Grafana 7.0 Preview - Meetup Tel Aviv Yafo from Dieter Plaetinck

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0 Graphite & Metrictank - Meetup Tel Aviv Yafo /slideshow/graphite-metrictank-meetup-tel-aviv-yafo/230403118 presentationgraphite-metrictanktelaviv-200317154801
March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/events/268536538/]]>
March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/events/268536538/]]> Tue, 17 Mar 2020 15:48:00 GMT /slideshow/graphite-metrictank-meetup-tel-aviv-yafo/230403118 Dieterbe@slideshare.net(Dieterbe) Graphite & Metrictank - Meetup Tel Aviv Yafo Dieterbe March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/events/268536538/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationgraphite-metrictanktelaviv-200317154801-thumbnail.jpg?width=120&height=120&fit=bounds" /> March 4th, 2020 https://www.meetup.com/Tel-Aviv-Yafo-grafana-Meetup-Group/events/268536538/

Graphite & Metrictank - Meetup Tel Aviv Yafo from Dieter Plaetinck

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0 Next generation alerting and fault detection, SRECon Europe 2016 /Dieterbe/next-generation-alerting-and-fault-detection-srecon-europe-2016 940dieterplaetinckfaultdetectionalerting-160713092034
There is a common belief that in order to solve more [advanced] alerting cases and get more complete coverage, we need complex, often math-heavy solutions based on machine learning or stream processing. This talk sets context and pro's/cons for such approaches, and provides anecdotal examples from the industry, nuancing the applicability of these methods. We then explore how we can get dramatically better alerting, as well as make our lives a lot easier by optimizing workflow and machine-human interaction through an alerting IDE (exemplified by bosun), basic logic, basic math and metric metadata, even for solving complicated alerting problems such as detecting faults in seasonal timeseries data. https://www.usenix.org/conference/srecon16europe/program/presentation/plaetinck]]>
There is a common belief that in order to solve more [advanced] alerting cases and get more complete coverage, we need complex, often math-heavy solutions based on machine learning or stream processing. This talk sets context and pro's/cons for such approaches, and provides anecdotal examples from the industry, nuancing the applicability of these methods. We then explore how we can get dramatically better alerting, as well as make our lives a lot easier by optimizing workflow and machine-human interaction through an alerting IDE (exemplified by bosun), basic logic, basic math and metric metadata, even for solving complicated alerting problems such as detecting faults in seasonal timeseries data. https://www.usenix.org/conference/srecon16europe/program/presentation/plaetinck]]> Wed, 13 Jul 2016 09:20:34 GMT /Dieterbe/next-generation-alerting-and-fault-detection-srecon-europe-2016 Dieterbe@slideshare.net(Dieterbe) Next generation alerting and fault detection, SRECon Europe 2016 Dieterbe There is a common belief that in order to solve more [advanced] alerting cases and get more complete coverage, we need complex, often math-heavy solutions based on machine learning or stream processing. This talk sets context and pro's/cons for such approaches, and provides anecdotal examples from the industry, nuancing the applicability of these methods. We then explore how we can get dramatically better alerting, as well as make our lives a lot easier by optimizing workflow and machine-human interaction through an alerting IDE (exemplified by bosun), basic logic, basic math and metric metadata, even for solving complicated alerting problems such as detecting faults in seasonal timeseries data. https://www.usenix.org/conference/srecon16europe/program/presentation/plaetinck <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/940dieterplaetinckfaultdetectionalerting-160713092034-thumbnail.jpg?width=120&height=120&fit=bounds" /> There is a common belief that in order to solve more [advanced] alerting cases and get more complete coverage, we need complex, often math-heavy solutions based on machine learning or stream processing. This talk sets context and pro's/cons for such approaches, and provides anecdotal examples from the industry, nuancing the applicability of these methods. We then explore how we can get dramatically better alerting, as well as make our lives a lot easier by optimizing workflow and machine-human interaction through an alerting IDE (exemplified by bosun), basic logic, basic math and metric metadata, even for solving complicated alerting problems such as detecting faults in seasonal timeseries data. https://www.usenix.org/conference/srecon16europe/program/presentation/plaetinck

Next generation alerting and fault detection, SRECon Europe 2016 from Dieter Plaetinck

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0 Alerting in Grafana, Grafanacon 2015 /slideshow/alerting-in-grafana-grafanacon-2015/54041904 grafana-alertingv5-151016210143-lva1-app6892
As one of the most requested features in our last survey, and one of the most active open GitHub issues, alerting in Grafana is both an exciting and contentious topic. This presentation details our approach to tackling the alerting question in Grafana, and what’s coming down the pipe to allow people to manage their alerts side-by-side with their visualizations.]]>
As one of the most requested features in our last survey, and one of the most active open GitHub issues, alerting in Grafana is both an exciting and contentious topic. This presentation details our approach to tackling the alerting question in Grafana, and what’s coming down the pipe to allow people to manage their alerts side-by-side with their visualizations.]]> Fri, 16 Oct 2015 21:01:43 GMT /slideshow/alerting-in-grafana-grafanacon-2015/54041904 Dieterbe@slideshare.net(Dieterbe) Alerting in Grafana, Grafanacon 2015 Dieterbe As one of the most requested features in our last survey, and one of the most active open GitHub issues, alerting in Grafana is both an exciting and contentious topic. This presentation details our approach to tackling the alerting question in Grafana, and what’s coming down the pipe to allow people to manage their alerts side-by-side with their visualizations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/grafana-alertingv5-151016210143-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> As one of the most requested features in our last survey, and one of the most active open GitHub issues, alerting in Grafana is both an exciting and contentious topic. This presentation details our approach to tackling the alerting question in Grafana, and what’s coming down the pipe to allow people to manage their alerts side-by-side with their visualizations.

Alerting in Grafana, Grafanacon 2015 from Dieter Plaetinck

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0 Rethinking metrics: metrics 2.0 @ Lisa 2014 /slideshow/rethinking-metrics-metrics-20-lisa-2014/41516252 metrics20-141113100904-conversion-gate02
As the amount of metrics, software that produce and process them, and people involved in them continue to increase, we need better ways to organize them, to make them self-describing, and do so in a way that is consistent. Leveraging this, we can then automatically build graphs and dashboards, given a query that represents an information need, even for complicated cases. We can build richer visualizations, alerting and fault detection. This talk will introduce the concepts and related tools, demonstrate possibilities using the Graph-Explorer interface, and lay the groundwork for future work.]]>
As the amount of metrics, software that produce and process them, and people involved in them continue to increase, we need better ways to organize them, to make them self-describing, and do so in a way that is consistent. Leveraging this, we can then automatically build graphs and dashboards, given a query that represents an information need, even for complicated cases. We can build richer visualizations, alerting and fault detection. This talk will introduce the concepts and related tools, demonstrate possibilities using the Graph-Explorer interface, and lay the groundwork for future work.]]> Thu, 13 Nov 2014 10:09:04 GMT /slideshow/rethinking-metrics-metrics-20-lisa-2014/41516252 Dieterbe@slideshare.net(Dieterbe) Rethinking metrics: metrics 2.0 @ Lisa 2014 Dieterbe As the amount of metrics, software that produce and process them, and people involved in them continue to increase, we need better ways to organize them, to make them self-describing, and do so in a way that is consistent. Leveraging this, we can then automatically build graphs and dashboards, given a query that represents an information need, even for complicated cases. We can build richer visualizations, alerting and fault detection. This talk will introduce the concepts and related tools, demonstrate possibilities using the Graph-Explorer interface, and lay the groundwork for future work. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metrics20-141113100904-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> As the amount of metrics, software that produce and process them, and people involved in them continue to increase, we need better ways to organize them, to make them self-describing, and do so in a way that is consistent. Leveraging this, we can then automatically build graphs and dashboards, given a query that represents an information need, even for complicated cases. We can build richer visualizations, alerting and fault detection. This talk will introduce the concepts and related tools, demonstrate possibilities using the Graph-Explorer interface, and lay the groundwork for future work.

Rethinking metrics: metrics 2.0 @ Lisa 2014 from Dieter Plaetinck

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0 Rethinking metrics: metrics 2.0 /slideshow/rethinking-metrics-metrics-20/41152922 metrics20-141105064355-conversion-gate02
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]]> Wed, 05 Nov 2014 06:43:54 GMT /slideshow/rethinking-metrics-metrics-20/41152922 Dieterbe@slideshare.net(Dieterbe) Rethinking metrics: metrics 2.0 Dieterbe <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metrics20-141105064355-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Rethinking metrics: metrics 2.0 from Dieter Plaetinck

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0 Metrics 2.0 @ Monitorama PDX 2014 /slideshow/metrics20-34319840/34319840 metrics20-140505225153-phpapp01
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]]> Mon, 05 May 2014 22:51:53 GMT /slideshow/metrics20-34319840/34319840 Dieterbe@slideshare.net(Dieterbe) Metrics 2.0 @ Monitorama PDX 2014 Dieterbe <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metrics20-140505225153-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Metrics 2.0 @ Monitorama PDX 2014 from Dieter Plaetinck

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0 Metrics stack 2.0 /slideshow/metrics-stack-20/33141516 metrics20-140404135543-phpapp01
Most metrics systems link timeseries to a string key, some add a few tags. They often lack information, use inconsistent formats and terminology, and are poorly organized. As the amount of people and software generating, processing, storing and visualizing metrics grows, this approach becomes very cumbersome and there is a lot to be gained from taking a step back and re-thinking metric identifiers and metadata. Metrics 2.0 is a set of conventions around metrics: With barely any extra work metrics become self-describing and standardized. Compatibility between tools increases dramatically, dashboards can automatically convert information needs into graphs, graph renderers can present data more usefully, anomaly detection and aggregators can work more autonomously and avoid common mistakes. Result: less micromanaging of software and configuration, quicker results, more clarity. Less frustration and room for errors. This talk will also cover the tools that turn this concept into production-ready reality: Graph-Explorer is an application that integrates with Graphite. Enter an expression that represents an information need and it generates the corresponding graphs or alerting rules, automatically applying unit conversion, aggregation, processing, etc. Statsdaemon is an aggregation daemon like Etsy's Statsd that expresses performed aggregations and statistical operations by updating the metrics tags, making sure that the metric metadata always corresponds to the data. Dieter Plaetinck is a systems-gone-backend engineer at Vimeo.]]>
Most metrics systems link timeseries to a string key, some add a few tags. They often lack information, use inconsistent formats and terminology, and are poorly organized. As the amount of people and software generating, processing, storing and visualizing metrics grows, this approach becomes very cumbersome and there is a lot to be gained from taking a step back and re-thinking metric identifiers and metadata. Metrics 2.0 is a set of conventions around metrics: With barely any extra work metrics become self-describing and standardized. Compatibility between tools increases dramatically, dashboards can automatically convert information needs into graphs, graph renderers can present data more usefully, anomaly detection and aggregators can work more autonomously and avoid common mistakes. Result: less micromanaging of software and configuration, quicker results, more clarity. Less frustration and room for errors. This talk will also cover the tools that turn this concept into production-ready reality: Graph-Explorer is an application that integrates with Graphite. Enter an expression that represents an information need and it generates the corresponding graphs or alerting rules, automatically applying unit conversion, aggregation, processing, etc. Statsdaemon is an aggregation daemon like Etsy's Statsd that expresses performed aggregations and statistical operations by updating the metrics tags, making sure that the metric metadata always corresponds to the data. Dieter Plaetinck is a systems-gone-backend engineer at Vimeo.]]> Fri, 04 Apr 2014 13:55:43 GMT /slideshow/metrics-stack-20/33141516 Dieterbe@slideshare.net(Dieterbe) Metrics stack 2.0 Dieterbe Most metrics systems link timeseries to a string key, some add a few tags. They often lack information, use inconsistent formats and terminology, and are poorly organized. As the amount of people and software generating, processing, storing and visualizing metrics grows, this approach becomes very cumbersome and there is a lot to be gained from taking a step back and re-thinking metric identifiers and metadata. Metrics 2.0 is a set of conventions around metrics: With barely any extra work metrics become self-describing and standardized. Compatibility between tools increases dramatically, dashboards can automatically convert information needs into graphs, graph renderers can present data more usefully, anomaly detection and aggregators can work more autonomously and avoid common mistakes. Result: less micromanaging of software and configuration, quicker results, more clarity. Less frustration and room for errors. This talk will also cover the tools that turn this concept into production-ready reality: Graph-Explorer is an application that integrates with Graphite. Enter an expression that represents an information need and it generates the corresponding graphs or alerting rules, automatically applying unit conversion, aggregation, processing, etc. Statsdaemon is an aggregation daemon like Etsy's Statsd that expresses performed aggregations and statistical operations by updating the metrics tags, making sure that the metric metadata always corresponds to the data. Dieter Plaetinck is a systems-gone-backend engineer at Vimeo. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metrics20-140404135543-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Most metrics systems link timeseries to a string key, some add a few tags. They often lack information, use inconsistent formats and terminology, and are poorly organized. As the amount of people and software generating, processing, storing and visualizing metrics grows, this approach becomes very cumbersome and there is a lot to be gained from taking a step back and re-thinking metric identifiers and metadata. Metrics 2.0 is a set of conventions around metrics: With barely any extra work metrics become self-describing and standardized. Compatibility between tools increases dramatically, dashboards can automatically convert information needs into graphs, graph renderers can present data more usefully, anomaly detection and aggregators can work more autonomously and avoid common mistakes. Result: less micromanaging of software and configuration, quicker results, more clarity. Less frustration and room for errors. This talk will also cover the tools that turn this concept into production-ready reality: Graph-Explorer is an application that integrates with Graphite. Enter an expression that represents an information need and it generates the corresponding graphs or alerting rules, automatically applying unit conversion, aggregation, processing, etc. Statsdaemon is an aggregation daemon like Etsy's Statsd that expresses performed aggregations and statistical operations by updating the metrics tags, making sure that the metric metadata always corresponds to the data. Dieter Plaetinck is a systems-gone-backend engineer at Vimeo.

Metrics stack 2.0 from Dieter Plaetinck

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0 Metrics 2.0 & Graph-Explorer /slideshow/metrics2-0graphexplorer20140218/31440297 metrics2-0-graph-explorer-20140218-140220095417-phpapp01
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]]> Thu, 20 Feb 2014 09:54:17 GMT /slideshow/metrics2-0graphexplorer20140218/31440297 Dieterbe@slideshare.net(Dieterbe) Metrics 2.0 & Graph-Explorer Dieterbe <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metrics2-0-graph-explorer-20140218-140220095417-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Metrics 2.0 & Graph-Explorer from Dieter Plaetinck

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0 https://cdn.slidesharecdn.com/profile-photo-Dieterbe-48x48.jpg?cb=1584460339 - I like a mix of conceptual and hands-on work. - on the design and implementation of distributed backend software and infrastructure. - strong believer in open source methodologies, and business models leveraging them. - i expect the best of me and everyone else, on all levels (process, collaboration, skillset, ...) - my pet peeves: correct application of units, terminology and statistical concepts Particulary interested in (and experienced with) performance&scalability, backend, big data process (devops, but decreasingly so) for bleeding edge and large scale environments (web2.0 etc) dieter.plaetinck.be https://cdn.slidesharecdn.com/ss_thumbnails/grafana7-200319081746-thumbnail.jpg?width=320&height=320&fit=bounds Dieterbe/grafana-70-preview-meetup-tel-aviv-yafo Grafana 7.0 Preview - ... https://cdn.slidesharecdn.com/ss_thumbnails/presentationgraphite-metrictanktelaviv-200317154801-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/graphite-metrictank-meetup-tel-aviv-yafo/230403118 Graphite & Metrictank ... https://cdn.slidesharecdn.com/ss_thumbnails/940dieterplaetinckfaultdetectionalerting-160713092034-thumbnail.jpg?width=320&height=320&fit=bounds Dieterbe/next-generation-alerting-and-fault-detection-srecon-europe-2016 Next generation alerti...