Windows Azure Diagnostics allows applications to log at three levels - application, service, and operating system. Logs can be used for debugging errors and performance issues. Diagnostics faces challenges of scalability and centralized logging in the cloud. It uses hosted services and storage accounts to handle scalability. Roles are configured with diagnostics monitors that log to tables and blobs. This allows per-instance diagnosis. Fluent diagnostics aims to simplify configuration programmatically without verbosity. Diagnostics configuration can be changed at runtime but new instances will use initial settings, so a marker file is needed to prevent resets. Logs can be viewed directly or with tools like Cerebrata Azure Diagnostics Manager.
Containerization (à la Docker) is increasing the elastic nature of cloud infrastructure by an order of magnitude. If you have adopted Docker, or are considering it, you are probably facing questions like:
- How many containers can you run on a given Amazon EC2 instance type?
- Which metric should you look at to measure contention?
- How do you manage fleets of containers at scale?
Datadog’s CTO, Alexis Lê-Quôc, presents the challenges and benefits of running Docker containers at scale. Alexis explains how to use quantitative performance patterns to monitor your infrastructure at the new level of magnitude and increased complexity introduced by containerization.
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015Datadog
In this session I showed building a multi-container app from beginning to end, using Docker, Docker-Machine, Docker-Compose and everything in between. You can even try it out yourself using the link in the deck to a repo on GitHub.
Containerization (à la Docker) is increasing the elastic nature of cloud infrastructure by an order of magnitude. If you have adopted Docker, or are considering it, you are probably facing questions like:
- How many containers can you run on a given Amazon EC2 instance type?
- Which metric should you look at to measure contention?
- How do you manage fleets of containers at scale?
Datadog’s CTO, Alexis Lê-Quôc, presents the challenges and benefits of running Docker containers at scale. Alexis explains how to use quantitative performance patterns to monitor your infrastructure at the new level of magnitude and increased complexity introduced by containerization.
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015Datadog
In this session I showed building a multi-container app from beginning to end, using Docker, Docker-Machine, Docker-Compose and everything in between. You can even try it out yourself using the link in the deck to a repo on GitHub.
Enroll expert level Online Testing Tools Training by Spiritsofts, Learn Testing Tools Certification Training with Course Material, Tutorial Videos, Attend Demo for free & you will find Spiritsofts is the best Online Training Institute within reasonable fee. Software Testing
Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.
The Training in is every thing we explained based on real time scenarios, it works which we do in companies.
Amazon Elastic Kubernetes Service (EKS)는 표준 Kubernetes 환경에서 실행되는 어플리케이션과 완벽히 호환됩니다. AWS상에서 Kubernetes 클러스터를 생성하고, 컨테이너 어플리케이션을 배포, 관리, 확장 및 로깅, 모니터링에 대한 실습과 함께, 최근 릴리즈된 AWS IAM 권한을 Pod에 할당하는 방법 등을 Amazon EKS에서 구현하는 과정을 진행합니다.
Migrare la tua applicazione verso il cloud è estremamente semplice, sulla carta. La dura verità è che l'unico modo per sapere con certezza come si comporterà è testare con attenzione. Estrarre un benchmark on premises è già abbastanza difficile, ma il benchmarking nel cloud può diventare davvero complicato a causa delle restrizioni negli ambienti PaaS e per la mancanza di strumenti.
Raggiungimi in questa sessione e scopri come catturare un carico di lavoro da produzione, riprodurlo nel tuo database cloud e confrontare le prestazioni. Ti illustrerò la metodologia e gli strumenti per portare il tuo database nel cloud senza battere ciglio.
By Gianluca Sartori
MyHeritage - QA Automations in a Continuous Deployment environmentMatanGoren
In this presentation we explain the CD mindset of the MyHeritage QA and how we use Watir, Appium, Ruby, Cumcumber and other supporting technologies to allow end to end testing.
These are the link mentioned in the presentation:
Continuous Deployment Applied at MyHeritage - http://www.slideshare.net/RanLevy/continuous-deployment-applied-at-myheritage
Appium - http://appium.io/
Ruby - https://www.ruby-lang.org/en/
Watir - http://watirwebdriver.com/
page-object - https://github.com/cheezy/page-object
Selenium Grid - https://github.com/SeleniumHQ/selenium/wiki/Grid2
Selenium-Grid-Extras - https://github.com/groupon/Selenium-Grid-Extras
Jenkins - https://jenkins-ci.org/
Azure service fabric for building micro service based applications. Comparison of monolythic application with cloud based micro service application, hosting over cloud containers like docker
Have you ever cried yourself to sleep unable to find the cause of a horrendous bug in your node app? Cry no more, your tears will be reshaped into blinding swords as we explore uncharted territories laced with mystical creatures.
JavaScript debugging is an often avoided topic due to the uncertainty of how best to accomplish it and the lack of powerful introspective tools. This talk will explore new territory and showcase tools that help you debug complex and difficult issues in your node or frontend app. Libraries and tools such as node-inspector, Time-Travel Debugging, Visual Studio Code, vorlon.js, Vantage and memory leak catchers will be used to slay dragons.
No more shall you fear building complex apps with JavaScript!
Embracing Jakarta EE 10 not only enable you to write better structured applications, it also enables you to write more testable applications. Correctly leveraging CDI enables integration testing where you can simulate a database error and verify that JMS messages are lost due to a RuntimeException. This session will focus on strategies and techniques for testing message handing, transaction management, security, and data model integrity. You will see how you can check message delivery and error handling, session failover, database versioning, and two-phase commits with JMS and databases. All too often assumptions are made that are proven wrong in production. This session will show you how to take your testing to the next level.
Enroll expert level Online Testing Tools Training by Spiritsofts, Learn Testing Tools Certification Training with Course Material, Tutorial Videos, Attend Demo for free & you will find Spiritsofts is the best Online Training Institute within reasonable fee. Software Testing
Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.
The Training in is every thing we explained based on real time scenarios, it works which we do in companies.
Amazon Elastic Kubernetes Service (EKS)는 표준 Kubernetes 환경에서 실행되는 어플리케이션과 완벽히 호환됩니다. AWS상에서 Kubernetes 클러스터를 생성하고, 컨테이너 어플리케이션을 배포, 관리, 확장 및 로깅, 모니터링에 대한 실습과 함께, 최근 릴리즈된 AWS IAM 권한을 Pod에 할당하는 방법 등을 Amazon EKS에서 구현하는 과정을 진행합니다.
Migrare la tua applicazione verso il cloud è estremamente semplice, sulla carta. La dura verità è che l'unico modo per sapere con certezza come si comporterà è testare con attenzione. Estrarre un benchmark on premises è già abbastanza difficile, ma il benchmarking nel cloud può diventare davvero complicato a causa delle restrizioni negli ambienti PaaS e per la mancanza di strumenti.
Raggiungimi in questa sessione e scopri come catturare un carico di lavoro da produzione, riprodurlo nel tuo database cloud e confrontare le prestazioni. Ti illustrerò la metodologia e gli strumenti per portare il tuo database nel cloud senza battere ciglio.
By Gianluca Sartori
MyHeritage - QA Automations in a Continuous Deployment environmentMatanGoren
In this presentation we explain the CD mindset of the MyHeritage QA and how we use Watir, Appium, Ruby, Cumcumber and other supporting technologies to allow end to end testing.
These are the link mentioned in the presentation:
Continuous Deployment Applied at MyHeritage - http://www.slideshare.net/RanLevy/continuous-deployment-applied-at-myheritage
Appium - http://appium.io/
Ruby - https://www.ruby-lang.org/en/
Watir - http://watirwebdriver.com/
page-object - https://github.com/cheezy/page-object
Selenium Grid - https://github.com/SeleniumHQ/selenium/wiki/Grid2
Selenium-Grid-Extras - https://github.com/groupon/Selenium-Grid-Extras
Jenkins - https://jenkins-ci.org/
Azure service fabric for building micro service based applications. Comparison of monolythic application with cloud based micro service application, hosting over cloud containers like docker
Have you ever cried yourself to sleep unable to find the cause of a horrendous bug in your node app? Cry no more, your tears will be reshaped into blinding swords as we explore uncharted territories laced with mystical creatures.
JavaScript debugging is an often avoided topic due to the uncertainty of how best to accomplish it and the lack of powerful introspective tools. This talk will explore new territory and showcase tools that help you debug complex and difficult issues in your node or frontend app. Libraries and tools such as node-inspector, Time-Travel Debugging, Visual Studio Code, vorlon.js, Vantage and memory leak catchers will be used to slay dragons.
No more shall you fear building complex apps with JavaScript!
Embracing Jakarta EE 10 not only enable you to write better structured applications, it also enables you to write more testable applications. Correctly leveraging CDI enables integration testing where you can simulate a database error and verify that JMS messages are lost due to a RuntimeException. This session will focus on strategies and techniques for testing message handing, transaction management, security, and data model integrity. You will see how you can check message delivery and error handling, session failover, database versioning, and two-phase commits with JMS and databases. All too often assumptions are made that are proven wrong in production. This session will show you how to take your testing to the next level.
(APP309) Running and Monitoring Docker Containers at Scale | AWS re:Invent 2014Amazon Web Services
If you have tried Docker but are unsure about how to run it at scale, you will benefit from this session. Like virtualization before, containerization (à; la Docker) is increasing the elastic nature of cloud infrastructure by an order of magnitude. But maybe you still have questions: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How do you manage fleets of containers at scale?
Datadog is a monitoring service for IT, operations, and development teams who write and run applications at scale. In this session, the cofounder of Datadog presents the challenges and benefits of running containers at scale and how to use quantitative performance patterns to monitor your infrastructure at this magnitude and complexity. Sponsored by Datadog.
The last bugs are finished, testing is complete, and business is ready. What do you do next? In this talk we will cover the topics to ensure that you are prepared for a successful launch of your MongoDB based product, including:
- Key counters and metrics: Page Faulting? IO Bound? What's my working set? How do I know?
- Load Testing and Capacity Planning: How much resource is my MongoDB going to use? When do I need to add replicas and shards?
- Monitoring: What should I be watching and how do I know if things are running correctly?
We will map the theory to the practice by illustrating with real world examples.
3. Overview
• Diagnostics in Windows Azure
– Application Level
– Service Level
– Operating System Level
• Things your application chooses to log
App
• Things logged by what runs your application
Service
• Things logged by OS container
OS
4. Example Log Usage
• Application:
– Error: Cannot save Order
• Service:
– Error: IO Exception
• OS:
– Error: Disk is full
5. What’s special?
• Familiar diagnostic challenges
– Already solved on premises
• Massively scalable
– No request affinity
– Unpredictable application topology
• Where do the logs go?!
– Centralised Logging approach
6. What you need
• Hosted Service:
– Compute capacity within Windows Azure
• Storage Account:
– Storage capacity within Windows Azure
• Table
• Blobs
7. Windows Azure Diagnostics
My Azure
Hosted Service App
Worker
Role Web Role
Role
Instances IN_0 IN_1 IN_0
• Each Role
– Configurable Diagnostics Monitor
– Each Instance inherits configuration
8. Example Trace Points
• Application
– .net application Tracing
– custom
• Files written via nLog, log4net etc
– Windows Event Log
• Service
– IIS Logs
– IIS Failed Request Logs
– Azure Diagnostics Infrastructure Logs
• Metalog
– Performance Counters
• Operating System
– Windows Event Log
– Custom (any known file log)
9. Configuration
• Set options on types
– Directories
– Logs
– Performance Counters
• Storage Options
– Some types allow a configurable destination
• Transfer Period
• Maximum Buffer Size
10. Transfer
• Two distinct methods of transfer
– Same underlying result
• On Demand Transfer
• Scheduled Transfer
11. Output formats
Type Description Destination
Trace With Trace Listener Table WADLogsTable
IIS Logs W3svc format Blob
Windows Event Logs Table WADWindowsEventLogsTable
Windows Performance Table WADPerformanceCountersTable
Counters
Custom Logs File based Blob
Crash Dump Blob
Diagnostic Infrastructure Metalog Table WADDiagnosticInfrastructureLogsTable
Log
13. Logging per Instance
• Logs on Instance Basis:
– RoleInstance:
• deployment(526).MultipleTraceSources.Host_IN_0
– DeploymentId.Role.Instance
• Allows for per instance diagnosis
14. Configure Windows Azure Diagnostics
• Setup Storage Account
• Create Role Instance Diagnostics Manager
• Get and update a configuration from Manager
• Set Current Configuration
19. Windows Azure Role Lifecycle
• Each Role runs
– OnStart
– Run
– OnStop
• Setup Diagnostics OnStart – always correct for
that role
• But if you change the config, another OnStart
will undo your changes
20. Change at Runtime
• WAPPSCmdlets
PowerShell cmdlets available at wappowershell.codeplex.com
Example courtesy of michaelwasham.com