Downloaded 36 times
![19
API Management Policies
// Create context variable
<set-variable name="responseDateTime" value="@(DateTime.UtcNow)" />
….
<log-to-eventhub logger-id="{logger-name}">
@{
// Create JSON Object
var response = new JObject();
// Add body as a property
response.Add(new JProperty("body", context.Response.Body.As<JObject>(true)));
// Add response time as a property
response.Add(new JProperty("responseTime",
DateTime.UtcNow.Subtract((DateTime)context.Variables["responseDateTime"]).Milliseconds))
// return result as a string
return response.ToString()
}
</log-to-eventhub>](https://image.slidesharecdn.com/toykoazuremeetup1-azurepaasoverview-170226075108/75/Toyko-azure-meetup-1-azure-paa-s-overview-19-2048.jpg)
More Related Content
Similar to Toyko azure meetup # 1 azure paa s overview
Toyko azure meetup # 1 azure paa s overview
- 1. Azure PaaS Overview KanioDimitrov, Tokyo Azure Meetup
- 2. 2 Tokyo Azure Meetup •Practical Knowledge • Microsoft Azure Focus • Create Global Azure community • Learn | Share | Enjoy cool demos!
- 3. 3 About Me Azure Architect AzureAdvisor Twitter @azurekanio Website http://azurekan.wordpress.com
- 4. 4 Standing On TheShoulders of Giants If I have seen further, it is by standing on the shoulders of giants. Isaac Newton
- 5. 5 • Hyper Scale •Cost Effective • Global Spread Public Cloud
- 6. 6 PaaS - Platformas a Service Platform for: • Developing • Running • Managing Infrastructure fully managed by Cloud Provider Applications PROS CONS Less Control Possible Lock-in
- 7. 7 Azure PaaS Services DataLake App Service API Management Event Hubs Azure Active Directory Azure SQL Batch Automation Stream Analytics Storage Cloud Service CDN Document DB Service Fabric HDInsight Key Vault Redis Cache Machine Learning IoT Suite Service Bus Azure Search App Insights Media Services Data Factory
- 8. 8 Focus Data Lake AppService API Management Event Hubs Azure Active Directory Azure SQL Stream Analytics Storage BlobLogic AppWeb App Store Analytics
- 9. 9 Use Case Check Status Ifupdate required Check Status If update required Kill switch functionality, activated in case of emergency on client or server side. Mobile Client Mobile ClientWeb API
- 10. 10 Requirements • Latency –up to 500 ms • Monitoring – Tracking every request and response • SLA – • Global Use
- 11. 11 Web Portal –Azure Web App Auto Scale Deployment < 1 min • Git / GitHub Supports: • Java • PHP • Node.js • Python Azure Web AppUser
- 12. 12 Authentication - AzureActive Directory Azure Web App Azure Active Directory Identity and access management • Best Security Practices • Multi Factor Authentication • On-Premise Integration
- 13. 13 Data Storage –Azure SQL • Database as a service • Provision for minutes • Self-managed for near- zero maintenance Azure SQLAzure Web App Database
- 14. 14 API – AzureWeb App Issues to address: • Manage Access to API • Interactive Documentation • Distribute Globally Azure SQLAzure Web App Database API
- 15. 15 API Proxy –API Management • Single API Endpoint • Throttling, rate limits, quota • Modify API requests / responses Mobile Client API Management Azure Web App APIAPI Proxy
- 16.
- 17.
- 18. 18 API Management Tracking– Event Hubs • Giant Queue • Million of events / second • Similar to Apache Kafka API Management Event Hub API Proxy Message Broker
- 19. 19 API Management Policies //Create context variable <set-variable name="responseDateTime" value="@(DateTime.UtcNow)" /> …. <log-to-eventhub logger-id="{logger-name}"> @{ // Create JSON Object var response = new JObject(); // Add body as a property response.Add(new JProperty("body", context.Response.Body.As<JObject>(true))); // Add response time as a property response.Add(new JProperty("responseTime", DateTime.UtcNow.Subtract((DateTime)context.Variables["responseDateTime"]).Milliseconds)) // return result as a string return response.ToString() } </log-to-eventhub>
- 20. 20 Real Time Processing– Stream Analytics • Million of events / second • SQL based language • Similar to Apache Storm Event Hub Stream Analytics Message Broker Real Time Analytics
- 21. 21 Real Time Processing– Rich Output Stream Analytics Power BI Visual Reports Logic App Workflow App in the cloud Storage Blob File in the cloud Real Time Analytics
- 22. 22 Big Data Processing– Data Lake Input Storage Blob Data Lake Store & Analytics Jobs Output Storage Blob File in the cloud “Infinite” Storage and Big Data Processing done in SQL and C# File in the cloud
- 23. 23 Azure Data Lake(ADL) Architecture
- 24.
- 25. 25 ADL Analytics Jobs •Cost Effective • Dynamic scaling • U-SQL – T-SQL & C# • Very rich tooling in Visual Studio
- 26. 26 T-SQL U-SQL C# Extendablewith custom algorithms New features added to standard T-SQL Most of T-SQL declarative features
- 27. 27 Lambda Architecture Mobile Client PowerBI Graph Reports Logic App Workflow Web App Portal Azure SQL Database Web App API API Proxy API Management Event Hub Message Broker Stream Analytics Real Time Processing Storage Blob File in the cloud Data Lake Store & Analytics Jobs Big Data Storage Blob File in the cloud Real Time Processing Batch Processing (Data at Rest)
- 28.
- 29.
- 30.