1. Building
Applications
in MiCADO
Jay DesLauriers
University of Westminster

2. Webinar on MiCADO [26/09/2019]
Agenda
• Introduction
1. Jozsef Kovacs (SZTAKI): What is MiCADO (good for)? [15 mins]
2. James Deslauriers (WMIN): How to develop an application in MiCADO? [15 mins]
• Questions [5 mins]
• Use cases
3. Matt Kendon (Outlandish): Wordpress [10 mins]
4. Amjad Ullah (WMIN): JQueuer [10 mins]
• Questions [5 mins]
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3. Develop your application...
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4. Cloud Native
CNCF Cloud Native Definition v1.0
github.com/cncf/toc/blob/master/DEFINITION.md
Cloud native technologies empower
organizations to build and run scalable
applications in modern, dynamic environments
such as public, private, and hybrid clouds.
Containers, service meshes, microservices,
immutable infrastructure, and declarative APIs
exemplify this approach.
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5. Cloud Native
• Cloud
• Public, private, hybrid
• Microservices
• Service-oriented architecture
• Containers
• “it runs on my machine”
• Scalable
• Elastic response to load
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6. Cloud
• Directly provision
• with Occopus
• Indirectly
• CloudBroker via Occopus
• Future extension
• with Terraform
• & with Occopus
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7. Microservices
• Resilient
• Independent of other services
• Declarative APIs
• Inter-container communication
• Stateless
• Less persistent data
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8. Containers
• Docker containers & Docker images
• In DockerHub & private/custom registries
• Orchestrates with Kubernetes
• Future support for CRI-O
• OCI compliant runtimes (Kata) & OCI images
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9. Scalable
• Scales based on load
• Default metrics
• CPU / Memory / Network
• Scales to meet performance
• Custom metrics via exporters
• Requests per minute, latency
• Jobs in queue, experiment deadline
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10. Describe your application...
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11. MiCADO ADTs
• Application Description Templates
• Written in Oasis Standard TOSCA
• A cloud language in YAML
• www.oasis-open.org/committees/tosca/
• Authored by developers
• Understand application, metrics and scalable components
• Finalised by MiCADO operators
• Provide Compute details for a Cloud Service Provider
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12. Application Description
• Three sections
• Container Infrastructure
• Containers, volumes, configurations
• Cloud Infrastructure
• Instance size, SSH keys, opened ports, VM image
• Monitoring & Scaling Policy
• Metric collection
• Queries, alerts, thresholds, scaling logic
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13. Sample App: stressng
• Deliberate load testing of system resources
• launchpad.net/stress-ng
• In container at DockerHub
• lorel/docker-stress-ng
• 2GHz/2GB instance from CloudSigma
• www.cloudsigma.com
• Default metric collectors report CPU usage
• Google cAdvisor (container) / Prometheus Node Exporter (instance)
• Load-based scaling
• Scale up above an upper threshold / scale down below a low threshold
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14. Container Infrastructure
Describe the container
• Name
• Type (Kubernetes Deployment)
• Properties
• Image (in DockerHub)
• Arguments (options / params)
• Resources (containers per VM)
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15. Cloud Infrastructure
Describe the cloud instance
• Name
• Type (CloudSigma, Occopus, Small)
• Properties
• Drive Image (VM base image)
• Public SSH Key
• Firewall Policy (open ports)
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16. Policies
Describe the monitoring policy
• Type
• Properties
Describe the scaling policy
• Type
• Targets (in the ADT)
• Properties
• Constants
• Limits
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17. Policy Type Definitions
• Referenced in the ADT
• Authored by
policy developers
• Defines
• Alerts (AlertManager)
• Queries (Prometheus)
• Rules (Python)
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18. Project Director: Dr. Tamas Kiss, University of Westminster, UK
The COLA Project – Cloud Orchestration at the Level of Application (COLA) - receives funding from
the European Union´s Horizon 2020 research and innovation programme under grant agreement No 731574
Questions after the second talk!
https://micado-scale.eu/
Jay DesLauriers
Developer of MiCADO
University of Westminster
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