1. Design pattern for cloud Application 23.02.2017
Microsoft Connect 2016
12/25/2018 9:33 PM
Design pattern for cloud Application
Raja Sreenivasan
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2. Microsoft Connect 2016
12/25/2018 9:33 PM
What is design pattern?
It’s a General Repeatable Solution to a commonly occurring problem in a Software design.
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3. Problem areas in the cloud
12/25/2018 9:33 PM
Problem areas in the cloud
These are eight categories that encompass the most common problem area in cloud application development
Availability
Data Management
Design and Implementation
Messaging
Management and Monitoring
Performance and Scalability
Resiliency
Security
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4. 12/25/2018 9:33 PM
Availability
It defines the proportion of time that the system is functional and working.
it will be affected by
system Errors
infrastructure problem
malicious attack
system load
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5. Health Endpoint Monitoring Pattern
12/25/2018 9:33 PM
Health Endpoint Monitoring Pattern
Implement functional checks within an application that external tools can access through exposed endpoints at regular intervals
This pattern can help to verify that applications and services are performing correctly
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6. Health Endpoint Monitoring Pattern
12/25/2018 9:33 PM
Health Endpoint Monitoring Pattern
Overview of the pattern
Implement health monitoring by sending requests to an endpoint on the application. The application should perform the necessary checks, and return an indication of its status.
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7. Health Endpoint Monitoring Pattern
12/25/2018 9:33 PM
Health Endpoint Monitoring Pattern
When to use
Monitoring websites and web applications to verify availability.
Monitoring websites and web applications to check for correct operation.
Monitoring middle-tier or shared services to detect and isolate a failure that
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8. 12/25/2018 9:33 PM
Data Management
Data management is the key element of cloud applications, and influences most of the quality attributes.
Data is typically hosted in different locations and across multiple servers for reasons such as
Performance
scalability
availability
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9. 12/25/2018 9:33 PM
Cache-Aside Pattern
Load data on demand into a cache from a data store. This pattern can improve performance and also helps to maintain consistency between data held in the cache and the data in the underlying data store.
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10. 12/25/2018 9:33 PM
Cache-Aside Pattern
Many commercial caching systems provide read-through and write-through/write-behind operations. In these systems, an application retrieves data by referencing the cache. If the data is not in the cache, it is transparently retrieved from the data store and added to the cache. Any modifications to data held in the cache are automatically written back to the data store as well.
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11. Cache-Aside Pattern When to Use this pattern :
12/25/2018 9:33 PM
Cache-Aside Pattern
When to Use this pattern :
A cache does not provide native read-through and write-through operations.
Resource demand is unpredictable. This pattern enables applications to load data on demand. It makes no assumptions about which data an application will require in advance.
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12. Design and Implementation
12/25/2018 9:33 PM
Design and Implementation
Good design encompasses factors such as
consistency and coherence in component design and deployment,
maintainability to simplify administration and development,
and reusability to allow components and subsystems to be used in other applications and in other scenarios.
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13. Compute Resource Consolidation Pattern
12/25/2018 9:33 PM
Compute Resource Consolidation Pattern
Consolidate multiple tasks or operations into a single computational unit.
This pattern can increase
compute resource utilization, and
reduce the costs and management overhead associated with performing compute processing in cloud-hosted applications
Figure 1 shows the simplified structure of a cloud-hosted solution that is implemented using more than one computational unit
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14. Compute Resource Consolidation Pattern
12/25/2018 9:33 PM
Compute Resource Consolidation Pattern
consolidate multiple tasks or operations into a single computational unit. It will
Help to reduce costs,
increase utilization,
improve communication speed, and
ease the management effort .
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15. 12/25/2018 9:33 PM
Messaging
The distributed nature of cloud applications requires a messaging infrastructure that connects the components and services, in a loosely coupled manner in order to maximize scalability.
Asynchronous messaging is widely used, and provides many benefits, but also brings challenges such as the
ordering of messages,
poison message management,
idempotency, and more
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16. Competing Consumers Pattern
12/25/2018 9:33 PM
Competing Consumers Pattern
Enable multiple concurrent consumers to process messages received on the same messaging channel. This pattern enables a system to process multiple messages concurrently to optimize throughput, to improve scalability and availability, and to balance the workload.
Figure :Using a message queue to distribute work to instances of a service
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17. Competing Consumers Pattern
12/25/2018 9:33 PM
Competing Consumers Pattern
Use a message queue to implement the communication channel between the application and the instances of the consumer service. The application posts requests in the form of messages to the queue, and the consumer service instances receive messages from the queue and process them. This approach enables the same pool of consumer service instances to handle messages from any instance of the application.
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