Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Azure Service Fabric - Azure Global Bootcamp 2016
1.
2.
3. How do I scale my Data linearly?
Does the VM have the required resources?
Are there any cold VMs that I shouldn't be paying for?
How do I move a service?
Is the VM running?Is the VM too hot?How do I deploy across a part of the cluster?
Does the VM have the required capacity?
How do I roll back a deployment if it is does not work?
How do I deploy across a part of the cluster?
Can I have multiple versions running side-by-
side?
Where should I move it?
Does my data have a single point of failure?
Is my application running?
Can I replicate data across data centers?
4. Ops Management
High Density
Resource Governance
Deployment and
Packaging
Rolling updates
Scalability
Hyper Scale
Load balancing
Scale Out
Maintainability
Granular versioning
In-flight testing
Microservices
Availability
Failure resilient
Rolling updates
Recovery from failures
