Les Conteneurs: Pièces et Main-d’Oeuvre

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CONTAINERS: PARTS AND LABOUR DANIEL MAHER, DATADOG @phrawzty

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CONTAINERS: PARTS AND LABOUR DANIEL MAHER, DATADOG @phrawzty DOCKER DOCKER DOCKER

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DANIEL MAHER DOCS & TALKS DEVOPSDAYS GLOBAL GREAT OUTDOORS GOURMAND SUITS FOR NO REASON @phrawzty

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DATADOG SAAS-BASED MONITORING TRILLIONS OF POINTS/DAY WE’RE HIRING: www.datadoghq.com/careers @datadoghq

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https://www.datadoghq.com/docker-adoption/

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Dabbler : used Docker during a given month, but hadn’t reached significant use as defined by Adopter. Docker Adoption

Dabbler : used Docker during a given month, but hadn’t reached significant use as defined by Adopter. Adopter : the average number of containers running during the month was at least 50% the number of distinct hosts run, or there were at least as many distinct containers as distinct hosts run during the month. Docker Adoption

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Dabbler : used Docker during a given month, but hadn’t reached significant use as defined by Adopter. Adopter : the average number of containers running during the month was at least 50% the number of distinct hosts run, or there were at least as many distinct containers as distinct hosts run during the month. Abandoner : a currently active company that used Docker in the past, but hasn't used it at all in the last month. Docker Adoption

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WHO’S ADOPTING DOCKER?

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WHAT’S RUNNING?

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NGINX Redis Postgres FluentD Elasticsearch Mongo MySQL etcd RabbitMQ HAproxy % Customers Running a Tech in Containers 0 % 10 % 20 % 30 % 40 %

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Redis Postgres Elasticsearch MySQL MongoDB etcd RabbitMQ % Customers Running Data Stores in Containers 0 % 10 % 20 % 30 % 40 %

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HOW DENSELY PACKED?

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ENTER THE ORCHESTRATORS

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ORCHESTRATORTION IS NORMAL

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CONTAINERS INCREASE COMPLEXITY HOW DO WE MONITOR THEM?

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Alcohol: The cause of, and solution to, all of life’s problems. HOMER SIMPSON

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Alcohol: The cause of, and solution to, all of life’s problems. HOMER SIMPSON CONTAINERS

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Side Car Containers

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AS COMPLEXITY INCREASES FUNDAMENTALS BECOME MORE IMPORTANT

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4 QUALITIES OF GOOD METRICS NOT ALL METRICS ARE EQUAL

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MUST BE WELL UNDERSTOOD

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SUFFICIENT GRANULARITY

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1 second Peak 46% 1 minute Peak 36% 5 minutes Peak 12%

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TAGGED & FILTERABLE

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Query Based Monitoring “What’s the average throughput of application:nginx per version ?” “Alert me when role:web-app running application:postgres hosted in region:eu-west-1 behaves differently than region:eu-west-2 ”