Health endpoint monitoring pattern

This Azure cloud architecture pattern diagram template was created on the base of figure in the article "Health Endpoint Monitoring Pattern" from the Microsoft Developer Network (MSDN) website.
"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. ...
It is good practice—and often a business requirement—to monitor web applications, and middle-tier and shared services, to ensure that they are available and performing correctly. However, it is more difficult to monitor services running in the cloud than it is to monitor on-premises services. ...
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.
A health monitoring check typically combines two factors: the checks (if any) performed by the application or service in response to the request to the health verification endpoint, and analysis of the result by the tool or framework that is performing the health verification check. The response code indicates the status of the application and, optionally, any components or services it uses. The latency or response time check is performed by the monitoring tool or framework." [msdn.microsoft.com/ ru-RU/ library/ dn589789.aspx]
The Azure cloud system architecture diagram template "Health endpoint monitoring pattern" for the ConceptDraw PRO diagramming and vector drawing software is included in the Azure Architecture solutin from the Computer and Networks area of ConceptDraw Solution Park.

The vector stencils library "AWS Analytics" contains 22 icons: Amazon Athena icon, Amazon CloudSearch icons, Amazon EMR icons, Amazon ES icons, Amazon Kinesis icons, Amazon QuickSight icon, Amazon Redshift icons, AWS Data Pipeline icon, AWS Glue icon.
Use it to draw Amazon Web Services architecture diagrams with ConceptDraw PRO diagramming and vector drawing software.
"Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics." [aws.amazon.com/ elasticsearch-service/ ]
"Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data." [aws.amazon.com/ elasticmapreduce/ ]
"Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data, and also providing the ability for you to build custom streaming data applications for specialized needs." [aws.amazon.com/ kinesis/ ]
"Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology." [aws.amazon.com/ machine-learning/ ]
"Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy for all employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data." [aws.amazon.com/ quicksight/ ]
"AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals." [aws.amazon.com/ datapipeline/ ]
The AWS icons example "Design elements - AWS Analytics" is included in the AWS Architecture Diagrams solution from the Computer and Networks area of ConceptDraw Solution Park.

This interactive voice response (IVR) diagram sample depicts the architecture of IVR systems. It was designed on the base of the Wikimedia Commons file: IVR-Systemarchitektur.png. [commons.wikimedia.org/ wiki/ File:IVR-Systemarchitektur.png]
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license. [creativecommons.org/ licenses/ by-sa/ 3.0/ deed.en]
"DTMF decoding and speech recognition are used to interpret the caller's response to voice prompts. DTMF tones are entered via the telephone keypad. ...
Other technologies include using text-to-speech (TTS) to speak complex and dynamic information, such as e-mails, news reports or weather information. TTS is computer generated synthesized speech that is no longer the robotic voice traditionally associated with computers. Real voices create the speech in fragments that are spliced together (concatenated) and smoothed before being played to the caller.
An IVR can be deployed in several ways:
1. Equipment installed on the customer premises.
2. Equipment installed in the PSTN (public switched telephone network).
3. Application service provider (ASP) / hosted IVR.
IVR can be used to provide a more sophisticated voice mail experience to the caller. ...
An automatic call distributor (ACD) is often the first point of contact when calling many larger businesses. ...
IVR call flows are created in a variety of ways. A traditional IVR depended upon proprietary programming or scripting languages, whereas modern IVR applications are generated in a similar way to Web pages, using standards such as VoiceXML, CCXML, SRGS and SSML. ...
In telecommunications, an audio response unit (ARU) is a device that provides synthesized voice responses to DTMF keypresses by processing calls based on (a) the call-originator input, (b) information received from a database, and (c) information in the incoming call, such as the time of day.
ARUs increase the number of information calls handled and provide consistent quality in information retrieval." [Interactive voice response. Wikipedia]
The IVR diagram example "IVR systems architecture" was designed using ConceptDraw PRO diagramming and vector drawing software extended with the Interactive Voice Response Diagrams solution from the Computer and Networks area of ConceptDraw Solution Park.