Update Spring Boot & Hateoas (#430)
* Upgrade spring boot 1.4.4 and hateoas 0.23. Removed unneded dependency, Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Avoid link change with new hateoas version. Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Readded commons.io Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Update MariaDB driver to 1.5.7 Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Added missing content to docs. Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Fix equals. Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Simplify Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com> * Fix equal after removal of commons collections. Signed-off-by: kaizimmerm <kai.zimmermann@bosch-si.com>
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layout: documentation
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title: Rollout Management
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---
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{% include base.html %}
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Software update operations in large scale IoT scenarios with hundreds of thousands of devices require special handling.
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That includes:
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- _Technical Scalability_ by means of horizontal scale of the _Rollouts_ server cluster in the cloud.
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- _Global_ artifact _content delivery_ capacities.
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- _Functional Scalability_ by means of:
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- Secure handling of large volumes of devices at rollout creation time.
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- Monitoring of the rollout progress.
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- Emergency rollout shutdown in case of problems on to many devices.
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- Reporting capabilities for a complete understanding of the rollout progress at each point in time.
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Eclipse _hawkBit_ sees these capabilities under the term Rollout Management.
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The following capabilities are currently supported by the _Rollout Management_:
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- Create, update and start of rollouts.
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- Selection of targets as input for the rollout based on _target filter_ functionality.
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- Selection of a _DistributionSet_.
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- Auto-splitting of the input target list into a defined number deployment groups.
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- Cascading start of the deployment groups based on installation status of the previous group.
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- Emergency shutdown of the rollout in case a group exceeds the defined error threshold.
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- Rollout progress monitoring for the entire rollout and the individual groups.
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## Cascading Deployment Group Execution
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The cascading execution of the deployment groups is based on two thresholds that can be defined by the rollout creator.
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- success condition by means of percentage of successfully installed targets in the current groups triggers.
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- error condition by means of absolute or percentage of failed installations which triggers an emergency shutdown of the entire rollout.
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[[images/DeploymentGroups.png]]
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## Rollout state machine
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### State Machine on Rollout
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{:width="100%" .image-center}
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### State Machine on Rollout Deployment Group
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{:width="100%" .image-center}
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