Microservices kept simple

transcript

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Microservices kept simple with

DigitalOceanVitor Pellegrino@pellegrino

Full bleed images

~ 18 million droplets

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Droplet

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Block Storage

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Networking

http://martinfowler.com/bliki/MicroservicePrerequisites.html

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Make sure you haveRapid provisioning

Basic monitoring

Rapid application deployment

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“I’m just starting, why do I need an orchestration/cluster management tool?”

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Why do I need such a tool?Cattle vs Pets

Easier to provision resources for a given application.

Better utilization of computing resources.

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"How would I deploy a microservice from scratch in 10 minutes?"

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Lets explore a few options

docker-swarm

kubernetes

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https://www.digitalocean.com/products/one-click-apps/dokku/

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Good for teams used to herokuOptimised for a single box experiencePre built images on DigitalOceanExtensible using plugins

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Only vertical scaling is possibleYour server may become a single point of

failure

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Docker swarm modeDocker’s built in orchestration for natively managing a cluster of Docker Engines called swarm.

Embedded data storage Built in security out of the boxOrchestration and cluster management By default, also execute work.Typically 3, 5 or 7 in a HA production

cluster

Manager

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Take work and report status backCan scale to several nodes

Worker nodes

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Security

Docker swarm mode

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Very simple setupNative built in orchestration Built in security out of the boxNo extra components needed

Docker swarm mode

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It is not as mature as other toolsDocker only

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Kubernetes

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KubernetesKubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.

Kubernetes

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Strong communitySupports different types of containers.Powerful set of constructsUses etcd to store cluster state, other

components are stateless

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Installing kubernetes

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https://github.com/Capgemini/kubeform (terraform + ansible, using CoreOS)

https://github.com/kubernetes-incubator/bootkube (self hosted kubernetes bootstrap)

https://github.com/kelseyhightower/kubernetes-the-hard-way

Kubeadm

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Automates the installation to a couple of commands.

Rapidly evolving (currently alpha)

Still no High Available setup is supported

Kubeadm

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Still only a single master is supported

Rapidly evolving (currently alpha)

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"Great! I have my cluster up and running, now what?”

Centralized logging TelemetryProvisioning automation

Next steps

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Get the output from any container in a central place

Useful for graphs and learning more about your data

ELK stack

Centralized Logging

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Know how your cluster (and apps) is behaving in real time.

AlertingUseful for knowing when to add more

nodes to your cluster.Prometheus, Grafana, Collectd, cAdvisor,

Fluentd

Telemetry

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Automate the steps to get from a droplet to a functioning node on your cluster

Downscaling is important too

Terraform, Ansible, Chef, Puppet

Provisioning automation

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Closing notes

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Do the simplest thing you can do to get started.

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All tools have pros and cons, consider the context you are in.

Thank you!

Questions?

Microservices kept simple

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