Microservices kept simple
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Slides for my presentation on "Orchestrating Microservices" event in Berlin, September 29 2016.
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Microservices kept simple
- 1. digitalocean.com Microservices kept simple with DigitalOcean Vitor Pellegrino @pellegrino
- 4. Full bleed images ~ 18 million droplets
- 9. digitalocean.com Make sure you have Rapid provisioning Basic monitoring Rapid application deployment
- 10. digitalocean.com “I’m just starting, why do I need an orchestration/cluster management tool?”
- 11. digitalocean.com Why do I need such a tool? Cattle vs Pets Easier to provision resources for a given application. Better utilization of computing resources.
- 12. digitalocean.com "How would I deploy a microservice from scratch in 10 minutes?"
- 14. digitalocean.com Lets explore a few options dokku docker-swarm kubernetes
- 17. digitalocean.com
- 19. Dokku digitalocean.com Good for teams used to heroku Optimised for a single box experience Pre built images on DigitalOcean Extensible using plugins
- 20. Dokku digitalocean.com Only vertical scaling is possible Your server may become a single point of failure
- 21. digitalocean.com
- 22. digitalocean.com Docker swarm mode Docker’s built in orchestration for natively managing a cluster of Docker Engines called swarm.
- 23. Embedded data storage Built in security out of the box Orchestration and cluster management By default, also execute work. Typically 3, 5 or 7 in a HA production cluster Manager digitalocean.com
- 24. Take work and report status back Can scale to several nodes Worker nodes digitalocean.com
- 26. Docker swarm mode digitalocean.com Very simple setup Native built in orchestration Built in security out of the box No extra components needed
- 27. Docker swarm mode digitalocean.com It is not as mature as other tools Docker only
- 29. digitalocean.com Kubernetes Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
- 30. Kubernetes digitalocean.com Strong community Supports different types of containers. Powerful set of constructs Uses etcd to store cluster state, other components are stateless
- 31. digitalocean.com
- 32. Installing kubernetes digitalocean.com 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
- 33. Kubeadm digitalocean.com Automates the installation to a couple of commands. Rapidly evolving (currently alpha) Still no High Available setup is supported
- 34. Kubeadm digitalocean.com Still only a single master is supported Rapidly evolving (currently alpha)
- 35. digitalocean.com "Great! I have my cluster up and running, now what?”
- 36. Centralized logging Telemetry Provisioning automation Next steps digitalocean.com
- 37. Get the output from any container in a central place Useful for graphs and learning more about your data ELK stack Centralized Logging digitalocean.com
- 38. Know how your cluster (and apps) is behaving in real time. Alerting Useful for knowing when to add more nodes to your cluster. Prometheus, Grafana, Collectd, cAdvisor, Fluentd Telemetry digitalocean.com
- 39. 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 digitalocean.com
- 41. digitalocean.com Do the simplest thing you can do to get started.
- 42. digitalocean.com All tools have pros and cons, consider the context you are in.
- 43. Thank you!
- 44. Questions?
Editor's Notes
- In this talk I would like to talk about how to get first started with microservices using DigitalOcean. This is not going to be a deep dive on any particular approach, but rather a overview about some options here. In the break time, I will be available for any type of questions that you may have about any of the topics covered here.
- Droplet is our main product. It allows you to quickly get access to computing resources on our infrastructure. We support not only plain OS installations, but also one-click installs for a plenty of services. /
- Block storage allow to create highly available and growable persistent storage devices
- Private networking for internal droplet to droplet communication. Floating IPs, so you can redirect network traffic between any of your Droplets within the same datacenter using a Floating IP, a static IP address that points to one of your Droplets. With Floating IPs, you can create highly available server structures without a single point of failure.
- It helps you to have better utilization of resources.
- We love open source at digitalocean. With our simple constructs, we don’t promote any type of lock-in to our solutions.
- Everything runs on a same box. It makes monitoring its health easier.
- Support heroku build packs and several plugins (letsencrypt, postgres/mysql, elastic search)
- Great way to get started if you have only a few services
- Introduced on docker 1.12
- No need for storing a separate data storage like zookeeper, etcd or consul. Raft protocol for strongly consistent data storage
- Gossip
- Join token. Automatic
- Certificates automatically expire and rotate every 90 days without manual interaction.
- The “downsides”
- Created by google. “Planet scale”
- E.g. Jobs the other hand, a number of PaaS systems run on Kubernetes, such as Openshift, Deis, and Gondor. You could also roll your own custom PaaS, integrate with a CI system of your choice, or get along just fine with just Kubernetes: bring your container images and deploy them on Kubernetes. Since Kubernetes operates at the application level rather than at just the hardware level, it provides some generally applicable features common to PaaS offerings, such as deployment, scaling, load balancing, logging, monitoring, etc. However, Kubernetes is not monolithic, and these default solutions are optional and pluggable.
- Created by google. “Planet scale”
- E.g. Jobs the other hand, a number of PaaS systems run on Kubernetes, such as Openshift, Deis, and Gondor. You could also roll your own custom PaaS, integrate with a CI system of your choice, or get along just fine with just Kubernetes: bring your container images and deploy them on Kubernetes. Since Kubernetes operates at the application level rather than at just the hardware level, it provides some generally applicable features common to PaaS offerings, such as deployment, scaling, load balancing, logging, monitoring, etc. However, Kubernetes is not monolithic, and these default solutions are optional and pluggable.
- Released 3 days ago on kubernetes 1.4
- Released 3 days ago on kubernetes 1.4
- ELK (elastic search, logstash, kibana, fluentd) telemetry (prometheus, grafana). Provisioning (terraform/ansible)
- How many users are using Chrome? Operating system? How many of them are from Berlin?
- Response time, utilization. Alerting. Kubernetes exports metrics to prometheus.
- How many users are using Chrome? Operating system? How many of them are from Berlin?