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❏Maximum Back-End Throughput
❏Per Token Quota Policies
❏Subscription Level Throttle Policies (With Burst Control)
❏Advanced Throttling Policies
❏Custom Policies
❏Blacklist Conditions
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Deploying a Throttling Policy
User Inputs Converted to a Siddhi Query
Throttle Data Publishing
Throttle Data Publishing
❏ Traffic Manager has the responsibility of making
throttle decisions
❏ Data required to make throttle decisions need to be
published to the Traffic Manager
❏ Each gateway in a deployment asynchronously
publishes data required to make throttle decision for
every API request to traffic manager
Policy Evaluation and Notify Decisions
❏ Traffic Manager has the responsibility of making
throttling decisions
❏ The Siddhi Runtime in Traffic Manager processes
events from gateways
❏ Policies deployed in traffic manager are executed on
each event
❏ An event that triggers a condition in a policy will be
notified to gateways through a JMS topic
Policy Evaluation and Notify Decisions
❏ Each gateway maintains a throttle data map to check
whether a request is within the allowed quota.
❏ Gateways update the throttle data map from the JMS
Topic which is notified by the Traffic Manager
Policy Evaluation and Notifications
Different Types of Throttle Policies
❏ Maximum Back-End Throughput
❏ Subscription Level Throttle Policies (With Burst
Control)
❏ Per Token Quota
❏ Advanced Throttling Policies
❏ Custom Policies
❏ Blacklist Conditions
❏ Used to protect backend services/apps
❏ API Developer can specify the maximum backend
throughput that can be served without interruptions
Subscription Level Quotas (With Burst Control)
❏ API Product Manager decides which quotas to expose
an API on.
❏ An Application can only subscribe to an API using the
specified quotas
❏ Supports both request count and bandwidth based
throttling
❏ An Application can only make requests upto the
specified limits in these quotas
❏ Ex: 1000 req/hour with 5 req/s burst control (Rate Limit)
❏ Burst control ensures even usage distribution
Per Token Quota
❏ Specifies the request limit allowed on a single token
from a given Application
❏ These limits are defined when creating an Application
❏ Support both request count and bandwidth based
quotas
❏ Ex: 10req/min - A given user from a single Application
can make 10 API calls per minute across all APIs it has
subscribed to
Advanced Throttling Policies
❏ These policies allow users to define complex throttle
policies.
❏ These can be attached to all resources of an API or to
individual Resources separately
❏ Allows defining policies based on
❏
❏
❏
❏
❏ Supports both request count and bandwidth based
throttling
❏ Ability to define multiple condition groups, each with a
set of conditions.
Advanced Throttling Policies
Default Limits
Condition GroupsConditions
Group Limit
Blacklisting
❏ Blacklist conditions are used to block API requests
instantaneously
❏ New feature which allows administrative users to block
API invocations by User, API context, Application and IP
address
❏ Provides ability to control unusual behaviors of API
Invocations
Custom Policies
❏ Provides the flexibility to write user defined policies
❏ Allows users to write policies using the siddhi query
language.
❏ These policies apply globally for every API
❏ Custom throttle policy contains two major parts
❏ siddhi query
❏ key template
❏ Key templates defines unique key which need to be
equal to throttle key in Siddhi Query
❏ Administrative user can write custom policies to limit or
block API calls by user, application, IP addresses, etc...
Custom Policies Contd..
Summary
❏ New throttling features provides flexibility to write throttling
policies based on request count and bandwidth
❏ Advance throttling policies allows to define complex throttle
policies based on headers, query params, IP addresses, IP
address ranges and JWT claims
❏ Blacklisting allows to block API Invocations instantaneously
❏ Custom policies allows to have user defined throttle policies
❏ Users need to select appropriate policies based on their
needs
Webinar: Incorporating New Throttling Features into Your Business

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Webinar: Incorporating New Throttling Features into Your Business

  • 1.
  • 2. ❏ ❏ ❏ ❏ ❏ ❏Maximum Back-End Throughput ❏Per Token Quota Policies ❏Subscription Level Throttle Policies (With Burst Control) ❏Advanced Throttling Policies ❏Custom Policies ❏Blacklist Conditions ❏ ❏
  • 8. User Inputs Converted to a Siddhi Query
  • 10. Throttle Data Publishing ❏ Traffic Manager has the responsibility of making throttle decisions ❏ Data required to make throttle decisions need to be published to the Traffic Manager ❏ Each gateway in a deployment asynchronously publishes data required to make throttle decision for every API request to traffic manager
  • 11. Policy Evaluation and Notify Decisions ❏ Traffic Manager has the responsibility of making throttling decisions ❏ The Siddhi Runtime in Traffic Manager processes events from gateways ❏ Policies deployed in traffic manager are executed on each event ❏ An event that triggers a condition in a policy will be notified to gateways through a JMS topic
  • 12. Policy Evaluation and Notify Decisions ❏ Each gateway maintains a throttle data map to check whether a request is within the allowed quota. ❏ Gateways update the throttle data map from the JMS Topic which is notified by the Traffic Manager
  • 13. Policy Evaluation and Notifications
  • 14.
  • 15. Different Types of Throttle Policies ❏ Maximum Back-End Throughput ❏ Subscription Level Throttle Policies (With Burst Control) ❏ Per Token Quota ❏ Advanced Throttling Policies ❏ Custom Policies ❏ Blacklist Conditions
  • 16. ❏ Used to protect backend services/apps ❏ API Developer can specify the maximum backend throughput that can be served without interruptions
  • 17. Subscription Level Quotas (With Burst Control) ❏ API Product Manager decides which quotas to expose an API on. ❏ An Application can only subscribe to an API using the specified quotas ❏ Supports both request count and bandwidth based throttling ❏ An Application can only make requests upto the specified limits in these quotas ❏ Ex: 1000 req/hour with 5 req/s burst control (Rate Limit) ❏ Burst control ensures even usage distribution
  • 18.
  • 19. Per Token Quota ❏ Specifies the request limit allowed on a single token from a given Application ❏ These limits are defined when creating an Application ❏ Support both request count and bandwidth based quotas ❏ Ex: 10req/min - A given user from a single Application can make 10 API calls per minute across all APIs it has subscribed to
  • 20.
  • 21. Advanced Throttling Policies ❏ These policies allow users to define complex throttle policies. ❏ These can be attached to all resources of an API or to individual Resources separately ❏ Allows defining policies based on ❏ ❏ ❏ ❏
  • 22. ❏ Supports both request count and bandwidth based throttling ❏ Ability to define multiple condition groups, each with a set of conditions. Advanced Throttling Policies
  • 24. Blacklisting ❏ Blacklist conditions are used to block API requests instantaneously ❏ New feature which allows administrative users to block API invocations by User, API context, Application and IP address ❏ Provides ability to control unusual behaviors of API Invocations
  • 25.
  • 26.
  • 27. Custom Policies ❏ Provides the flexibility to write user defined policies ❏ Allows users to write policies using the siddhi query language. ❏ These policies apply globally for every API ❏ Custom throttle policy contains two major parts ❏ siddhi query ❏ key template ❏ Key templates defines unique key which need to be equal to throttle key in Siddhi Query
  • 28. ❏ Administrative user can write custom policies to limit or block API calls by user, application, IP addresses, etc... Custom Policies Contd..
  • 29.
  • 30.
  • 31. Summary ❏ New throttling features provides flexibility to write throttling policies based on request count and bandwidth ❏ Advance throttling policies allows to define complex throttle policies based on headers, query params, IP addresses, IP address ranges and JWT claims ❏ Blacklisting allows to block API Invocations instantaneously ❏ Custom policies allows to have user defined throttle policies ❏ Users need to select appropriate policies based on their needs