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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IS THE DOCKER FAD OVER?
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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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Docker Adoption - Docker pulls?
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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
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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. 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 ”
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- LONG-LIVED
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M T W TH F M T W TH F M T W TH F M T W TH F
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M T W TH F M T W TH F M T W TH F M T W TH F OUTAGE? TUESDAY HOLIDAY?
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SUMMARY 1. Both Docker adoption and system complexity continue to grow 2. The fundamentals of monitoring are therefore more important than ever
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MERCI ! DANIEL MAHER @phrawzty daniel.maher@datadoghq.com
