The document discusses testing applications in the cloud using Amazon Web Services. It describes how AWS services like EC2, S3, and SQS can be used to dynamically create test environments, bundle and reuse testing assets, run tests in parallel across many servers, and even crowd-source testing tasks. This allows developers to iterate testing quickly and at scale without maintaining their own test infrastructure. The key benefits highlighted are the ability to instantly spin up large test environments on demand and only pay for resources used, improving testing speed, flexibility and reducing costs.
Cloud testing refers to testing resources such as hardware and software that are available on demand in the cloud. There are various types of cloud-based testing including testing of the entire cloud, within a cloud, across clouds, and SaaS testing in the cloud. Functional testing ensures the cloud application provides paid-for services, while load, performance, security, and compatibility testing evaluate how the application functions under stress conditions and with different browsers and platforms. Challenges in cloud testing include security, performance unpredictability, lack of control over configurations, and difficulty replicating customer environments for integration testing.
The document discusses cloud testing and how cloud computing can be leveraged for testing. It defines cloud computing and its various service models like SaaS, PaaS, and IaaS. It then discusses different types of testing that can be performed in the cloud like load testing, performance testing, functional testing, etc. Benefits of cloud testing like auto-provisioning, scalability, and reduced costs are also highlighted. A case study of a media company leveraging the cloud for testing is provided as an example.
The document discusses cloud-enabled testing services and the benefits they provide for software testing. It addresses common problems in traditional software testing like high costs, inflexibility, and rising costs. Cloud-enabled testing services allow testing to be done on demand using cloud infrastructure, providing benefits like reduced costs, flexibility, and ensuring compliance through auditable provisioning. It also discusses security considerations and the experience companies have had adopting cloud-enabled testing services.
Cloud testing refers to testing applications and services that are hosted in cloud environments. There are three types of clouds: private, public, and hybrid. Cloud testing provides benefits like reduced costs since resources are accessed on-demand. It involves testing applications deployed in clouds, testing the cloud infrastructure itself, and testing across multiple cloud environments. Key challenges of cloud testing include security, lack of standards, infrastructure limitations, and improper usage increasing costs. Existing research on cloud testing and software testing as a service is limited but focuses on test modeling, criteria for cloud applications, and commercial cloud testing tools and services.
This document discusses cloud-based testing. It defines cloud computing and the different cloud service models: SaaS, PaaS, and IaaS. Cloud-based testing uses cloud technologies and infrastructure to simulate real-world user traffic. Benefits of cloud testing include easier access to testing environments, easier deployment of test systems and applications, easier management, reduced costs, and scalability. Types of testing in the cloud include functional, non-functional, and load testing. Cloud testing provides increased availability, security, performance, and disaster recovery compared to conventional software testing. Most organizations are adopting cloud testing due to its flexibility, scalability, and reduced costs.
The document discusses the advantages of cloud-based testing over traditional in-house testing. Cloud-based testing provides significant cost reductions of 40-70% due to lower infrastructure costs, pay-per-use models, and eliminating upfront capital expenditures. It also improves flexibility, time-to-market, and allows for quick scaling of test resources. However, challenges include security concerns, lack of standard integration with internal resources, and ensuring cloud vendors meet service level agreements. The document provides steps companies should take to effectively plan and execute cloud-based testing.
This is a paper which will outline the benefits of moving the cloud from traditional in house to cloud,type of testing ,approach Test team/companies need to performed if they are adopting cloud solution .
This solution is generic in nature and it applies for all business who want to use Cloud Offering from different vendors like Microsoft, Amazon, Google, IBM, Salesforce
Cloud testing refers to testing resources such as hardware and software that are available on demand in the cloud. There are various types of cloud-based testing including testing of the entire cloud, within a cloud, across clouds, and SaaS testing in the cloud. Functional testing ensures the cloud application provides paid-for services, while load, performance, security, and compatibility testing evaluate how the application functions under stress conditions and with different browsers and platforms. Challenges in cloud testing include security, performance unpredictability, lack of control over configurations, and difficulty replicating customer environments for integration testing.
The document discusses cloud testing and how cloud computing can be leveraged for testing. It defines cloud computing and its various service models like SaaS, PaaS, and IaaS. It then discusses different types of testing that can be performed in the cloud like load testing, performance testing, functional testing, etc. Benefits of cloud testing like auto-provisioning, scalability, and reduced costs are also highlighted. A case study of a media company leveraging the cloud for testing is provided as an example.
The document discusses cloud-enabled testing services and the benefits they provide for software testing. It addresses common problems in traditional software testing like high costs, inflexibility, and rising costs. Cloud-enabled testing services allow testing to be done on demand using cloud infrastructure, providing benefits like reduced costs, flexibility, and ensuring compliance through auditable provisioning. It also discusses security considerations and the experience companies have had adopting cloud-enabled testing services.
Cloud testing refers to testing applications and services that are hosted in cloud environments. There are three types of clouds: private, public, and hybrid. Cloud testing provides benefits like reduced costs since resources are accessed on-demand. It involves testing applications deployed in clouds, testing the cloud infrastructure itself, and testing across multiple cloud environments. Key challenges of cloud testing include security, lack of standards, infrastructure limitations, and improper usage increasing costs. Existing research on cloud testing and software testing as a service is limited but focuses on test modeling, criteria for cloud applications, and commercial cloud testing tools and services.
This document discusses cloud-based testing. It defines cloud computing and the different cloud service models: SaaS, PaaS, and IaaS. Cloud-based testing uses cloud technologies and infrastructure to simulate real-world user traffic. Benefits of cloud testing include easier access to testing environments, easier deployment of test systems and applications, easier management, reduced costs, and scalability. Types of testing in the cloud include functional, non-functional, and load testing. Cloud testing provides increased availability, security, performance, and disaster recovery compared to conventional software testing. Most organizations are adopting cloud testing due to its flexibility, scalability, and reduced costs.
The document discusses the advantages of cloud-based testing over traditional in-house testing. Cloud-based testing provides significant cost reductions of 40-70% due to lower infrastructure costs, pay-per-use models, and eliminating upfront capital expenditures. It also improves flexibility, time-to-market, and allows for quick scaling of test resources. However, challenges include security concerns, lack of standard integration with internal resources, and ensuring cloud vendors meet service level agreements. The document provides steps companies should take to effectively plan and execute cloud-based testing.
This is a paper which will outline the benefits of moving the cloud from traditional in house to cloud,type of testing ,approach Test team/companies need to performed if they are adopting cloud solution .
This solution is generic in nature and it applies for all business who want to use Cloud Offering from different vendors like Microsoft, Amazon, Google, IBM, Salesforce
Cloud Testing: The Future of software TestingBugRaptors
Cloud testing is a form of software testing where applications control cloud computing environments. It overcomes limitations of traditional testing like performance issues and high costs. Cloud testing is more cost effective for organizations and provides benefits like reduced costs, faster time-to-market, and accessibility. While moving to cloud testing provides opportunities, it also introduces new challenges around sensitive data, business impacts, and differing needs of large vs small enterprises.
This document discusses cloud testing vs testing in the cloud. Cloud testing refers to testing applications deployed in the cloud, while testing in the cloud means testing any application using cloud infrastructure. It describes Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) models and how they impact testing. Key considerations for moving to the cloud include outage history, defining test platforms, and guidelines for public/private clouds. TestingWhiz is presented as a demo of test automation in the cloud.
The document discusses two papers on software testing in cloud computing. The first paper presents an overview of cloud testing, including pros like cost savings and cons like security issues. It also provides a generalized cloud testing procedure. The second paper identifies research issues for software testing in the cloud, such as application testing challenges, management of testers, and legal/financial concerns. The document notes that cloud testing is an emerging technology that can reduce costs for small and medium enterprises.
Cloud computing has today become one of those “big bangs” in the industry. Most organizations are now leaning to adopting the cloud because of its flexibility, scalability and reduced costs. This session highlights the cloud testing different concepts in detail
From Relational Database Management to Big Data: Solutions for Data Migration...Cognizant
Big data migration testing for transferring relational database management files is a very time-consuming, high-compute task; we offer a hands-on, detailed framework for data validation in an open source (Hadoop) environment incorporating Amazon Web Services (AWS) for cloud capacity, S3 (Simple Storage Service) and EMR (Elastic MapReduce), Hive tables, Sqoop tools, PIG scripting and Jenkins Slave Machines.
The document discusses performance testing and how harnessing the cloud can help address challenges. It defines performance testing and outlines the typical process. Conducting performance tests on-premises can be challenging due to lab setup and maintenance, scaling users, and testing from different locations. These challenges can be overcome by using cloud-based performance testing services which provide flexible, scalable resources and pay-as-you-go models. Visual Studio Online is highlighted as one such cloud-based solution.
Gomez Blazing Fast Cloud Best Practices Compuware APM
Are you planning to deploy Web applications in the cloud? Will their performance be acceptable? What will you do to make sure?
There are a lot of good reasons to deploy applications in a cloud environment — but they are all forgotten if your application is slow or has poor availability. Poor performance results in unhappy, lost customers. Traditional data center techniques for monitoring, measuring, and optimizing Web application performance won’t work in the cloud. There are a new set of best practices that you need to learn to optimize the performance of your cloud-based Web applications.
RightScale is a cloud computing management platform that allows users to deploy and manage applications across multiple cloud infrastructures. It provides automation, scalability, and portability. Users can increase productivity by using predefined server templates and deployments. RightScale offers monitoring, load balancing, and autoscaling to help optimize costs. The platform is administered via a web-based dashboard where users can manage deployments, servers, and other resources.
How to Make Your Move to the Cloud with ConfidenceCloud Spectator
This document discusses how to move to the cloud with confidence by properly evaluating cloud providers and workloads. It recommends:
1) Selecting candidate cloud providers based on requirements like security, locations, compliance and pricing.
2) Benchmarking providers by testing real workloads over time on different machines and comparing performance of infrastructure components and applications.
3) A case study where benchmarking found one provider was 47% cheaper than another for a company after workloads were properly sized based on performance needs. Benchmarking helped optimize costs through performance normalization.
This document provides an overview of KEMP LoadMaster and its integration with VMware technologies. It discusses:
- KEMP LoadMaster's delivery methods including hardware, virtual, cloud, and bare metal appliances.
- Licensing and support for VMware products like vSphere, vCloud Air, Horizon, vCenter Log Insight, and NSX.
- How the KEMP vRealize Orchestrator plug-in automates deployment tasks and enables dynamic scaling.
- Example dashboards that provide visibility into LoadMaster and application metrics through integration with vCenter Operations Manager.
- The architecture and benefits of integrating LoadMaster with VMware NSX for advanced load balancing and security capabilities in a
Electric Cloud provides software delivery automation solutions to help customers address challenges of continuous delivery including long software processes, poor quality, and lack of visibility. Their solutions are based on principles of lean production, continuous integration/delivery, and DevOps and integrate with over 100 tools. Customers across industries have achieved benefits like 90% faster troubleshooting, 99% reduced errors, and 75% faster build to release times.
Identifying Workloads to Move to the CloudRightScale
RightScale Webinar: Cloud infrastructure offers a new set of building blocks for cost effectively deploying and managing applications. One of the first questions encountered is often which application workloads present the best fit? We’ll start by profiling different environments (datacenter, hosted and public/private cloud) and highlight the application characteristics that align well for each. We’ll then discuss the most common use cases we encounter and the reference architectures we’ve used to deliver them. Along the way, we’ll work to provide guidance how to evaluate company workloads for public, private and hybrid cloud deployments and when it makes sense to re-architect applications.
Windows Server 2003 reaches end of extended support on July 14, 2015. This presentation discusses the importance of migrating applications off of Windows Server 2003 by this date, as it will no longer receive security updates or regulatory compliance. It provides an overview of mitigation strategies for applications that cannot be migrated in time, as well as various migration strategies including OS upgrades, new hardware, virtualization, and cloud migration. The presentation emphasizes the importance of developing a migration plan that involves discovering, assessing risk, and prioritizing applications before pursuing these different migration options.
Transform Your Cloud Validation Strategy from Cloudy to ClearTechWell
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform. Vandana Viswanathan shares an introduction to the five components of a sound cloud application validation strategy: cloud provider qualification process, validation strategy development, end-to-end risk-based testing approach development and implementation, governance through change management, and preparation for an organization audit/inspection. As a result, you can create an effective QA plan to verify the implementation of a cloud-hosted solution. Vandana provides tips for developing a tactical approach to ensure your organization is audit/inspection ready and meets the criteria for business, security, and data privacy requirements for both regulated and non-regulated business critical applications.
Fundamental and Practice.
Explain about microservices characters and pattern. And also how to be good build microservices. And also additional the scale cube and CAP theory.
This document discusses cloud architecture patterns and provides examples to address common problems in cloud applications. It begins with an overview of common problem areas such as availability, data consistency, scalability, security and resiliency. It then describes and provides code samples for several cloud design patterns, including the queue-based load leveling pattern to handle variable workloads, the retry pattern to address transient faults, and the static content hosting pattern to optimize storage of static resources.
The Army Research Laboratory is developing a next-generation ballistic vulnerability and lethality modeling system called MUVES 3 using cloud computing. MUVES 3 has a service-oriented architecture built on Java and deployed using the NetBeans IDE. Testing MUVES 3 on Amazon EC2 through Elastic Grid's cloud management platform allows scaling to hundreds of computers for integration testing while avoiding security issues of a public cloud. Further steps include expanding metrics collection and using NetBeans as a client for cloud visualization.
CloudGenius offers an incremental and evolutionary process for migrating IT systems to the cloud that uses the (MC2)2 framework to evaluate alternatives and make complex decisions through multi-criteria analysis and decision making methods like AHP, and a prototype called CumulusGenius is available to demonstrate this migration process.
VMworld 2013: Moving Enterprise Application Dev/Test to VMware’s Internal Pri...VMworld
This document discusses moving an enterprise application development and testing environment to VMware's internal private cloud. Key points:
- The AppOps team previously managed development environments manually, which was slow, unreliable, and reduced developer productivity.
- VMware chose to replace the traditional infrastructure with a private cloud based on VMware's Software Defined Data Center (SDDC) and automate the provisioning process.
- With automation and the private cloud, process time dropped from 4 weeks to 36 hours, developer productivity increased 20% or more, and annual infrastructure costs reduced by $6 million.
- Lessons learned include separating the automation build team from operations, taking a phased approach, and using integrated cloud
This document discusses 5 challenges faced by virtual teams and how a company called Sabre addressed them:
1. Building trust virtually rather than in-person through delivering on promises and ability-based trust.
2. Maximizing process gains and minimizing losses through extensive training on teamwork, roles, and norms.
3. Overcoming isolation through work options, team building, frequent manager communication, and face-to-face meetings.
4. Balancing technical and strong interpersonal skills through behavioral interviews and panel interviews.
5. Assessing virtual team performance objectively using a balanced scorecard of growth, profitability, process improvement and customer satisfaction metrics collected through surveys.
This document discusses research on virtual teams and identifies challenges they face as well as strategies for success. Some key findings include: virtual teams need strong communication, especially early on to establish trust and shared goals; cultural and time-zone differences can challenge coordination and understanding; face-to-face meetings are important for building trust and resolving conflicts or ambiguity; developing shared mental models, learning, and networking can boost performance; and empowering team members and avoiding micromanagement improves outcomes. The author proposes a simulation called the Virtual Team Challenge to provide trainees experience managing these dynamics.
Cloud Testing: The Future of software TestingBugRaptors
Cloud testing is a form of software testing where applications control cloud computing environments. It overcomes limitations of traditional testing like performance issues and high costs. Cloud testing is more cost effective for organizations and provides benefits like reduced costs, faster time-to-market, and accessibility. While moving to cloud testing provides opportunities, it also introduces new challenges around sensitive data, business impacts, and differing needs of large vs small enterprises.
This document discusses cloud testing vs testing in the cloud. Cloud testing refers to testing applications deployed in the cloud, while testing in the cloud means testing any application using cloud infrastructure. It describes Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) models and how they impact testing. Key considerations for moving to the cloud include outage history, defining test platforms, and guidelines for public/private clouds. TestingWhiz is presented as a demo of test automation in the cloud.
The document discusses two papers on software testing in cloud computing. The first paper presents an overview of cloud testing, including pros like cost savings and cons like security issues. It also provides a generalized cloud testing procedure. The second paper identifies research issues for software testing in the cloud, such as application testing challenges, management of testers, and legal/financial concerns. The document notes that cloud testing is an emerging technology that can reduce costs for small and medium enterprises.
Cloud computing has today become one of those “big bangs” in the industry. Most organizations are now leaning to adopting the cloud because of its flexibility, scalability and reduced costs. This session highlights the cloud testing different concepts in detail
From Relational Database Management to Big Data: Solutions for Data Migration...Cognizant
Big data migration testing for transferring relational database management files is a very time-consuming, high-compute task; we offer a hands-on, detailed framework for data validation in an open source (Hadoop) environment incorporating Amazon Web Services (AWS) for cloud capacity, S3 (Simple Storage Service) and EMR (Elastic MapReduce), Hive tables, Sqoop tools, PIG scripting and Jenkins Slave Machines.
The document discusses performance testing and how harnessing the cloud can help address challenges. It defines performance testing and outlines the typical process. Conducting performance tests on-premises can be challenging due to lab setup and maintenance, scaling users, and testing from different locations. These challenges can be overcome by using cloud-based performance testing services which provide flexible, scalable resources and pay-as-you-go models. Visual Studio Online is highlighted as one such cloud-based solution.
Gomez Blazing Fast Cloud Best Practices Compuware APM
Are you planning to deploy Web applications in the cloud? Will their performance be acceptable? What will you do to make sure?
There are a lot of good reasons to deploy applications in a cloud environment — but they are all forgotten if your application is slow or has poor availability. Poor performance results in unhappy, lost customers. Traditional data center techniques for monitoring, measuring, and optimizing Web application performance won’t work in the cloud. There are a new set of best practices that you need to learn to optimize the performance of your cloud-based Web applications.
RightScale is a cloud computing management platform that allows users to deploy and manage applications across multiple cloud infrastructures. It provides automation, scalability, and portability. Users can increase productivity by using predefined server templates and deployments. RightScale offers monitoring, load balancing, and autoscaling to help optimize costs. The platform is administered via a web-based dashboard where users can manage deployments, servers, and other resources.
How to Make Your Move to the Cloud with ConfidenceCloud Spectator
This document discusses how to move to the cloud with confidence by properly evaluating cloud providers and workloads. It recommends:
1) Selecting candidate cloud providers based on requirements like security, locations, compliance and pricing.
2) Benchmarking providers by testing real workloads over time on different machines and comparing performance of infrastructure components and applications.
3) A case study where benchmarking found one provider was 47% cheaper than another for a company after workloads were properly sized based on performance needs. Benchmarking helped optimize costs through performance normalization.
This document provides an overview of KEMP LoadMaster and its integration with VMware technologies. It discusses:
- KEMP LoadMaster's delivery methods including hardware, virtual, cloud, and bare metal appliances.
- Licensing and support for VMware products like vSphere, vCloud Air, Horizon, vCenter Log Insight, and NSX.
- How the KEMP vRealize Orchestrator plug-in automates deployment tasks and enables dynamic scaling.
- Example dashboards that provide visibility into LoadMaster and application metrics through integration with vCenter Operations Manager.
- The architecture and benefits of integrating LoadMaster with VMware NSX for advanced load balancing and security capabilities in a
Electric Cloud provides software delivery automation solutions to help customers address challenges of continuous delivery including long software processes, poor quality, and lack of visibility. Their solutions are based on principles of lean production, continuous integration/delivery, and DevOps and integrate with over 100 tools. Customers across industries have achieved benefits like 90% faster troubleshooting, 99% reduced errors, and 75% faster build to release times.
Identifying Workloads to Move to the CloudRightScale
RightScale Webinar: Cloud infrastructure offers a new set of building blocks for cost effectively deploying and managing applications. One of the first questions encountered is often which application workloads present the best fit? We’ll start by profiling different environments (datacenter, hosted and public/private cloud) and highlight the application characteristics that align well for each. We’ll then discuss the most common use cases we encounter and the reference architectures we’ve used to deliver them. Along the way, we’ll work to provide guidance how to evaluate company workloads for public, private and hybrid cloud deployments and when it makes sense to re-architect applications.
Windows Server 2003 reaches end of extended support on July 14, 2015. This presentation discusses the importance of migrating applications off of Windows Server 2003 by this date, as it will no longer receive security updates or regulatory compliance. It provides an overview of mitigation strategies for applications that cannot be migrated in time, as well as various migration strategies including OS upgrades, new hardware, virtualization, and cloud migration. The presentation emphasizes the importance of developing a migration plan that involves discovering, assessing risk, and prioritizing applications before pursuing these different migration options.
Transform Your Cloud Validation Strategy from Cloudy to ClearTechWell
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform. Vandana Viswanathan shares an introduction to the five components of a sound cloud application validation strategy: cloud provider qualification process, validation strategy development, end-to-end risk-based testing approach development and implementation, governance through change management, and preparation for an organization audit/inspection. As a result, you can create an effective QA plan to verify the implementation of a cloud-hosted solution. Vandana provides tips for developing a tactical approach to ensure your organization is audit/inspection ready and meets the criteria for business, security, and data privacy requirements for both regulated and non-regulated business critical applications.
Fundamental and Practice.
Explain about microservices characters and pattern. And also how to be good build microservices. And also additional the scale cube and CAP theory.
This document discusses cloud architecture patterns and provides examples to address common problems in cloud applications. It begins with an overview of common problem areas such as availability, data consistency, scalability, security and resiliency. It then describes and provides code samples for several cloud design patterns, including the queue-based load leveling pattern to handle variable workloads, the retry pattern to address transient faults, and the static content hosting pattern to optimize storage of static resources.
The Army Research Laboratory is developing a next-generation ballistic vulnerability and lethality modeling system called MUVES 3 using cloud computing. MUVES 3 has a service-oriented architecture built on Java and deployed using the NetBeans IDE. Testing MUVES 3 on Amazon EC2 through Elastic Grid's cloud management platform allows scaling to hundreds of computers for integration testing while avoiding security issues of a public cloud. Further steps include expanding metrics collection and using NetBeans as a client for cloud visualization.
CloudGenius offers an incremental and evolutionary process for migrating IT systems to the cloud that uses the (MC2)2 framework to evaluate alternatives and make complex decisions through multi-criteria analysis and decision making methods like AHP, and a prototype called CumulusGenius is available to demonstrate this migration process.
VMworld 2013: Moving Enterprise Application Dev/Test to VMware’s Internal Pri...VMworld
This document discusses moving an enterprise application development and testing environment to VMware's internal private cloud. Key points:
- The AppOps team previously managed development environments manually, which was slow, unreliable, and reduced developer productivity.
- VMware chose to replace the traditional infrastructure with a private cloud based on VMware's Software Defined Data Center (SDDC) and automate the provisioning process.
- With automation and the private cloud, process time dropped from 4 weeks to 36 hours, developer productivity increased 20% or more, and annual infrastructure costs reduced by $6 million.
- Lessons learned include separating the automation build team from operations, taking a phased approach, and using integrated cloud
This document discusses 5 challenges faced by virtual teams and how a company called Sabre addressed them:
1. Building trust virtually rather than in-person through delivering on promises and ability-based trust.
2. Maximizing process gains and minimizing losses through extensive training on teamwork, roles, and norms.
3. Overcoming isolation through work options, team building, frequent manager communication, and face-to-face meetings.
4. Balancing technical and strong interpersonal skills through behavioral interviews and panel interviews.
5. Assessing virtual team performance objectively using a balanced scorecard of growth, profitability, process improvement and customer satisfaction metrics collected through surveys.
This document discusses research on virtual teams and identifies challenges they face as well as strategies for success. Some key findings include: virtual teams need strong communication, especially early on to establish trust and shared goals; cultural and time-zone differences can challenge coordination and understanding; face-to-face meetings are important for building trust and resolving conflicts or ambiguity; developing shared mental models, learning, and networking can boost performance; and empowering team members and avoiding micromanagement improves outcomes. The author proposes a simulation called the Virtual Team Challenge to provide trainees experience managing these dynamics.
Leading A Virtual Team by Julian E. DippJulian Dipp
A virtual team is a geographically dispersed group that works together using communication technology. Effective virtual team leadership requires mastering principles like clear communication, coordination using technology, and building trust from a distance. Selecting the right technology and training methods are important, as virtual meetings and shared workspaces replace face-to-face interactions. Leading virtual teams presents new challenges for coordinating people remotely.
Effective Virtual Teams & Virtual Team Leadership - Tactics & StrategiesSatellite Team Solutions
This document discusses virtual teams and virtual team leadership. It notes that virtual teams face challenges such as temporal distribution across time zones, cultural differences, and complex member roles. Effective virtual team leadership requires vision, cultural awareness, leadership presence in a virtual context, and facilitating team development. The document provides examples of how virtual teams have benefited companies through reduced costs, greater flexibility, and access to global talent. It also discusses challenges such as lack of trust and communication issues. Strategies for effective virtual teams include leveraging diversity, using technology, and strong virtual team leadership.
The document contains questionnaires for school/instructional leaders and employees in private secondary schools in San Fernando, La Union, Philippines. The questionnaires assess leadership styles using a 5-point scale. For leaders, it examines their decision-making approach, treatment of mistakes, delegation, and other leadership behaviors. For employees, it gauges their preferred leadership styles, such as inclusive decision-making and empowering subordinates. The goal is to identify common leadership styles and develop training to enhance leadership skills.
This document summarizes research on trust and leadership in virtual teams. It defines virtual teams as groups of employees from different locations who work interdependently using technology. It discusses benefits like access to specialized expertise but also challenges like potential for increased conflict due to lack of face-to-face interaction. It examines competing trust theories and identifies relationship building, identification, and team practices as ways to establish trust. It finds that effective leadership requires behaviors like support and responsiveness as well as activities like establishing trust and managing virtual meetings.
Why test automation is getting more difficult, and what can be done about it. This slides are from a presentation by Group Director, Product Management at TestPlant, Gordon McKeown, which was presented at the Northern Lights conference in Manchester in April 2016.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Automatic scaling of internet appli...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Final Report To Executive ManagersXXXXXCCA 625UnChereCheek752
Final Report To Executive Managers
XXXXX
CCA 625
University of Maryland Global Campus
XXXXX
Table of Contents
Executive summary 1
Lab results (4–8 pages) 1
Lessons Learned from The Labs 13
Feasibility of cloud environment for BallotOnline web services deployment 15
2
Building An AWS Migration Environment and Configuring the Web ServicesExecutive summary
Compute, databases, storage, analytics, mobile, networking, developer tools, management tools, IoT, security, as well as corporate applications are all available through Amazon Web Services (Wang et al., 2017). These services enable BallotOnline to move more quickly, save money on IT, and grow. Web and mobile apps, game development, data processing and warehousing, storage, archiving, and many more workloads are all powered by AWS, which is trusted by the world's largest companies and the hottest start-ups.
The relational database transfer is supposed to be met with skepticism by the web development team. I have a task to create a proof-of-concept application to test it. During the proof of concept, I have to learn how to use the AWS Management Console to start, stop, and configure Amazon EC2 instances and Amazon RDS DB Instances, store and retrieve Amazon S3 items, and set up elastic load balancers (Zulu et al., 2018). Also, I might learn a lot about AWS and realized that they had complete control over the environment, which am sure will make me feel much more secure about taking the next step.
The standard “mysqlimport” tool is used to migrate relational database files to Amazon RDS instances. I will put up a DB Instance in a single Availability Zone for the test environment, and a multi-AZ deployment for the production environment to enhance availability (Cao et al., 2017). My main goal is to properly test and migrate all data to a database instance, as well as get performance measurements using Amazon CloudWatch and define backup retention settings. I have also to construct migration scripts to automate the process and raise awareness inside the company by hosting a "brownbag" session.Lab results (4–8 pages)
Lab 1 Report
Load Balancer DNS Name:
internal-CCA625-LB-65451032.us-east-1.elb.amazonaws.com
Summary of the Lab
Before beginning this lab, I ensured that the VPC and EC2 instances are correctly configured. In addition, I checked that the security groups for the instances made allow http which is on port 80. Later I installed the Apache web server on every instance filling respective DNS names (Joshi & Shah, 2019).
Incoming traffic is distributed over many targets in one or more Availability Zones, such as EC2 instances, containers, and IP addresses, using Elastic Load Balancing. It monitors the health of the targets it has recorded and only delivers traffic to those who are in excellent form. One can scale the load balancer as the incoming traffic varies using Elastic Load Balancing. It can automatically scale to the vast majority of workloads. The Load bal ...
Why Scale Matters and How the Cloud is Really Different (at scale)Amazon Web Services
This document discusses how various companies scale their services and applications on AWS to handle large user loads and data volumes. It provides examples of Animoto handling over 1 billion files saved per day and Airbnb having over 9 million guests. It then outlines an approach for scaling an application from 1 user to millions by starting with EC2 instances, adding services like S3, DynamoDB, ElastiCache and auto-scaling groups. The document emphasizes using AWS managed services to avoid re-inventing solutions for tasks like queuing, storage and databases.
Performance Metrics for your Build Pipeline - presented at Vienna WebPerf Oct...Andreas Grabner
Software Performance Metrics that you should look at throughout your Build Pipeline and not just when your app crashes in productiong.
Find performance and scalability problems as soon as executing your first Unit Test. Simply focus on metrics such as #SQLs, #LogMessages, #Objects on Heap, ...
AWS Public Sector Symposium 2014 Canberra | Putting the "Crowd" to work in th...Amazon Web Services
"Cloud" computing provides significant advantages and enormous cost savings by allowing IT infrastructure to be provisioned as a ubiquitous, metered, unit priced and on demand service. However, the other major resourcing issue faced by CIO’s is the provision of skilled labour to develop, support and maintain a increasing wide range of IT applications.
This session will show attendees how the worldwide pool of freelance developers, the "Crowd", can be utilised as a ubiquitous, metered, unit priced and on demand resource pool to work in the "Cloud" to improve responsiveness to customer demands, reduce development timeframes and achieve significant cost savings.
Although the crowd can bring enormous benefits in terms of cost and agility, there are some technical and business barriers to adoption in large organisations. This presentation will discuss the barriers and, using some real examples, will explain how GoSource overcomes them.
This document summarizes a presentation about cloud computing and its uses for GIS. Cloud computing provides scalable computing resources and applications as an on-demand service over the internet. The document defines different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of how Esri and other organizations are using the cloud, including deploying ArcGIS Server on Amazon Web Services and hosting web applications on ArcGIS.com. The benefits and risks of cloud computing for GIS are also discussed.
This document discusses the need for continuous delivery in software development. It defines continuous delivery as making sure software can be reliably released at any time. The document outlines some key aspects of continuous delivery including automated testing, infrastructure as code, continuous integration, and blue/green deployments. It provides an example of implementing continuous delivery for a large retail company using tools like Jenkins, Puppet, Logstash and practices like infrastructure as code and automated testing.
This document discusses testing frameworks on AWS cloud. It covers load testing using custom scripts to simulate thousands of users, vulnerability testing using the BlazeClan VAS tool, availability testing using Chaos Monkey to randomly terminate instances, and the features of the BlazeClan solution including pre-built scripts, quick start options, and reporting and analytics capabilities. The solution aims to help customers test applications on AWS cloud faster and more efficiently.
This document provides an overview of a workshop on cloud native, capacity, performance and cost optimization tools and techniques. It begins with introducing the difference between a presentation and workshop. It then discusses introducing attendees, presenting on various cloud native topics like migration paths and operations tools, and benchmarking Cassandra performance at scale across AWS regions. The goal is to explore cloud native techniques while discussing specific problems attendees face.
The document provides an overview of a company called SOASTA and their cloud testing solution. It discusses SOASTA being the first cloud testing company established in 2007 and how their cloudtest solution allows customers to perform load and performance testing in the cloud in a fast, affordable and scalable way. Key features of cloudtest mentioned are on-demand test provisioning, real-time analytics dashboards, and full test reports.
This document discusses how to reduce spending on AWS through various techniques:
1. Paying for cloud resources only when they are used through the pay-as-you-go model avoids upfront costs and allows turning off unused capacity.
2. Using reserved instances when capacity needs are predictable provides significant discounts compared to on-demand pricing.
3. Architecting applications in a "cost aware" manner, such as leveraging caching, auto-scaling, managed services, and right-sizing instances can optimize costs.
4. Taking advantage of AWS's economies of scale through consolidated billing and free services helps lower overall spend. Planning workload usage of spot instances can achieve up to 85% savings.
- The document outlines strategies for scaling applications on Amazon Web Services (AWS) from a single instance to support millions of users.
- It describes starting with a single EC2 instance and database and scaling out by adding more instances, load balancers, and managed database services.
- The document recommends leveraging serverless architectures using services like AWS Lambda and managed services to build highly scalable and available applications without having to manage servers.
AWS has different pricing models to match your needs. One example is the different instance types available such as On-Demand, Reserved and Spot Instances. Customers can develop cost-saving strategies based upon their usage patterns, models and growth expectations. In some cases, a set of larger instances can be cheaper than multiple small instances. Learn how to size your AWS applications to maximize your use and minimize your spend. Companies such as Pinterest take very active roles to constantly reduce their spend; learn how they do it and develop your own cost-saving approaches.
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2. Cloud Computing Defined “Cloud Computing is large pool of easily usable and accessible virtualized resources that can be dynamically reconfigured to adjust to a variable load and operated on a pay-per-use model” ACM “Cloud Computing is a style of computing where massively scalable IT-related capabilities are provided ‘as a service’ across the Internet to multiple external customers” Gartner
3. Cloud Computing Defined “Cloud Computing is large pool of easily usable and accessible virtualized resources that can be dynamically reconfigured to adjust to a variable load and operated on a pay-per-use model” ACM “Cloud Computing is a style of computing where massively scalable IT-related capabilities are provided ‘as a service’ across the Internet to multiple external customers” Gartner
11. Today’s ‘Era of Tera’ Uncertainty Uncertainty in Business (“Slashdot/Techcrunched”) Uncertainty in Economy Users and Data flood Millions of Users and PBs of data Latency Matters Performance is now directly related to customer service Global-Scale Spanning Multiple Geographies Diverse Environments Mobile Platforms Middleware on Variety of DB Servers, App Servers
12.
13. Scale: 50 servers to 5000 servers in 3 days Amazon EC2 easily scaled to handle additional trafficPeak of 5000 instances Number of EC2 Instances “Techcrunched” Launch of Facebook modification. Steady state of ~40 instances 4/12/2008 4/14/2008 4/15/2008 4/16/2008 4/18/2008 4/19/2008 4/20/2008 4/17/2008 4/13/2008
14.
15. How to Test in this “Era of Tera” How will you test to see whether your website is spike-proof ? How will you test your website if 50M users are going to hit your website in next 2 hours? How will you test for 750K concurrent users ? How will you test your latency from different parts of the world ? How will you test when you have minimal testing budget in this economy ? How will you test on different environments ?
16. Everything’s Changed, Nothing’s different Stress Testing Load Testing Web Performance Testing Web App (AJAX) testing Usability Testing Unit Testing Regression Tests Integration Tests
18. Common problems in our world of testing “I cannot reproduce the bug” (environment mismatch) “Its just take too much time to configure the tools” “Site works fine in US, but does not work from EU” “Its too expensive to set up, maintain and update a test lab” “Its takes too much time and efforts to set up a test lab” “Test phase last for only 2 months : Underutilized Test Boxes”
19. On-demand Test Labs Physical Test Labs become out-dated too fast Maintaining Test Labs is pain Configuration Latest patches Test lab when you need, For the duration you need “Need it now” “Need only for 3 month Test cycle” Elastic scale (Grow and Shrink requirements based on pre-defined SLA) Throw-away Test labs (Get a brand new lab every time) No more begging for more servers required
21. AMIs for Reuse and Repros Virtualization Create test environments dynamically Bundle AMIs With basic dependencies and OS of your choice Share AMIs Share entire environments with dev/prod teams with few clicks
22. Testing as a Service : “Push it to the Cloud” Traditional enterprise solutions are complex Incur High upfront license fees Steep learning curve in Open source tools Testing as a Service Stress, Load, Performance Testing services Pay as you go Meter bandwidth in/out Meter Instance Usage hours Meter CPU Usage-based costing model
38. “Let’s run it again!” Test more and Test Often Iterative process of test-analyze-fix-test Testing is a background activity Real-time results in Dashboards Automation through Web Services Set up test labs on-demand Automated scripts to launch infrastructure you need Cost-effective Automated Testing Infrastructure up only during the build and test time Build run at 2AM on 2 Instances for 2 Hours : Cost of ~$1/Day
39.
40. Test #60650 EC2 instances spawned Served 500K concurrent Users and 10 Million Hits in 1 Hour Test #0 GOAL: 3M Users/Hits in 1 Hour 200K concurrent Users Local : 100 Concurrent User test Test-Fix-Test Iterative Process Timeline Test #25300 EC2 instances spawned Crash point: 170K concurrent users Served 3M Users in 1 Hour Test #160 EC2 instances spawned Crash point: 500 concurrent users
41. Test #60650 EC2 instances spawned Served 500K concurrent Users and 10 Million Hits in 1 Hour Test #0 GOAL: 3M Users/Hits in 1 Hour 200K concurrent Users Local : 100 Concurrent User Fail Goal: Exceeded Timeline : 3 Months Actual Testing time: 60 hours Test-Fix-Test Iterative Process Timeline Test #25300 EC2 instances spawned Crash point: 170K concurrent users Served 3M Users in 1 Hour Test #160 EC2 instances spawned Crash point: 500 concurrent users
46. User Testing at WeoGeo “We created a 6 question survey focused on our registration and email validation process and offered 2 cents per completed survey. After only 3 batches of 6 surveys (18 total for a whopping 36 cents!) we identified and confirmed problems with AOL, MSN Hotmail, and Yahoo! Mail. Other EC2 users had reported similar problems which quickly led us to a solution”
47. Create actual test scenarios (Selenium) Usability testing Cross browser testing Analyze test results Test Links on the website Create Surveys to rate look and feel, navigation, search features of your website
48. Generations of Testing * James Whittaker Blog posts on “Future of Testing” TestSourcing = CrowdSourcing + CloudComputing
49. A Test problem : New Video Startup Suppose you just launched a new website that embeds videos on other websites... ... and you just landed a biz dev deal that will add 200X more load in less than two weeks! You want to know your site can handle 2000 concurrent video streams and the associated AJAX calls in between each clip. What would you do?
50. A Solution The future of software (and testing) requires ultra-tight iteration loops. Cloud computing is poised to be a rocket on the back of agile techniques. Virtualize for consistent state management Crowd-source for quick human intelligence Massiveparallelization using both But first: How quickly can you obtain 2000 Firefox browsers?
51. On-demand load testing service (pay only for what you use) Uses real Firefox browsers (based on Selenium automation technology) Bypasses traditional load testing approach of simulating HTTP traffic Only possible because of cloud computing Runs from EC2 US-East and EU-West Regions
52. 2000 Browsers in 15 Minutes Massive amount of hardware required... ... yet available in minutes 334 High-CPU Extra Large EC2 Instances 2.6TB of RAM 2672 CPU Cores Over 550 mbps throughput
53. Using Amazon EC2 15 minutes before a test: prepare hundreds of EC2 instances Each instance runs a Firefox browser and VNC X Server Failures are visually captured as screenshots Data is consolidated in a local EC2 availability zone and uploaded to S3 Our costs only occur when we have revenues, so our pricing can be very low
54.
55. Parallel Machines and People BrowserMob is just the tip of the iceberg! Imagine: What if quality could be verified in minutes instead of hours (1000s mins v/s 1 min) The key is parallel execution: Running automated tests in parallel (eg: unit tests, integration tests, browsers, etc) Using the crowd to temporarily increase your QA staff by 100X
56. Cloud Computing is inevitable Testing in the Cloud Instant Test Labs in Minutes Testing as a Service Virtualization/AMI for Reuse and Repros Web Services for Automation On-Demand Workforce of Testers Client and Server Parallelization
Stress test in the CloudCreate AMIs with libraries and dependenciesAdd “computer power” when needed and turn it off to reduce costsLoad test in the CloudGenerate load from one Availability Zone to test on other.Startup a pre-configured TestBox (EC2 instance) in minutesPerformance test in the CloudTest at Global scale - Latency from different parts of the worldStore all instrumentation data on S3, SimpleDB.Web App testingBrowser based Ajax/Selenium testing from different availability zones (US and EU)Create different deployment environments using scripts Usability TestingOn-demand workforceWhat does Testing in the Cloud mean:Automated, Virtual Test Labs that are live only when you need themStress test in the CloudFind the source of latency, Potential Crashes and/or points of Failure. Get Profile information thru logs and instrumentation and measureLoad test in the CloudGenerating load from one Availability zone to other “staging” servers on or off 100 concurrent browsing users that randomly click on links. Then, the load can be increased by 100 users every 10 minutes until the total expected user load of 100,000 users is reached.Performance test in the CloudHow fast the page is loading for a given user in given stateUsability Testing
Testing in the CloudInstant Test Labs in MinutesTesting as a ServiceVirtualization/AMIs for Reuse and ReprosWeb Services for AutomationOn-Demand Workforce of Testers (“Elastic QA Staff”)Client and Server Parallelization
Pay as you go - Increased utlization
The Scheduler plans the plan, spawns the Load Generators, coordinates activities of the Load Generators, and plays traffic cop for all other tests being conducted in LoadStorm. The Load Generators (LG) produce the requests to the target web applications (server). They handle all communications with the server, including capturing returned pages and status codes. The LG builds an extensive record of raw data regarding the test metrics. The Summarizer uses the database of findings from the LG to calculate the metrics and KPIs that LoadStorm makes available through the graphs and tables for analysis.
Testing as Background/Daily activity
QTRAXNew Music Site for FREE Music Downloads, with 300,000 registered users
TESTING CHALLENGEWanted to Test QTRAX.com “staging” sites located in LA-London-HKWanted to Test several different “real world” user scenario’s (Global)Wanted to Test over 3M users hitting web site in a (1) hour periodWanted to Test a “burst” of 200K concurrent users• QTRAX largest previous Load Test was 100 usersQTRAX TEST SETUPSOASTA Team worked with QTRAX to create (20) user scenariosSOASTA Team then provisioned (650) servers located in NJ, UK in 15 minutesQTRAX decided to monitored over a (800) areas of network, system, and applicationsQTRAX TESTStress and Load Test were Performed on the Qtrax Site located in Los Angeles Data CenterIterative Test Process, Lasted over (3) months, with a total of (60) Hours of actual Test TimeRamping up and spiking to 500,000 concurrent users or 2.32 Gbit per sec.Tested over 10M Hits per hour on the QTRAX siteRecored several TB’s of Test analytics and results Data.QTRAX RESULTSAggregated, correlated Test Data displayed LIVE thru real-time DashBoardsProblems were found-fixed-retested, until goal of 500,000 concurrent was hit
The instant when average response times increased -- and at what user loadInformation about which application servers were not being balanced properly by the load balancersInformation about which application servers were having connection problemsInformation about which servers (Database, application server, web servers) were hitting CPU limitations at low virtual user levelsInformation about which user scenarios scaled well as the user load increasedMetrics around errors, error rates, and the causes of those errors
The instant when average response times increased -- and at what user loadInformation about which application servers were not being balanced properly by the load balancersInformation about which application servers were having connection problemsInformation about which servers (Database, application server, web servers) were hitting CPU limitations at low virtual user levelsInformation about which user scenarios scaled well as the user load increasedMetrics around errors, error rates, and the causes of those errors
Because some WeoGeo Market users reported that they were not receiving email notifications, we had a need for User Testing across a variety of email platforms.
TestSourcing = CrowdSourcing + Cloud Computing
Cloud Computing is changingIn this Era of Tera, Testing for Scale is imperativeTesting as a ServiceOn-DemandCloud TestingVirtualization for ReuseVirtualization for ReprosTest Labs in Minutes