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Our User Endpoints in Device Management Knowledge Base is here to revolutionize the way you handle and manage your applications.
With 1548 prioritized requirements, solutions, benefits, results, and real-life case studies/use cases, our dataset provides you with everything you need to have a complete understanding of your applications.
Our comprehensive knowledge base covers the most important questions to ask, based on urgency and scope, in order to get the best results for your business.
What sets us apart from competitors and alternatives? Our User Endpoints in Device Management dataset is designed specifically for professionals looking to streamline their application processes.
Unlike other products that may be expensive or difficult to use, we offer an affordable and DIY solution that can easily be incorporated into your current workflow.
Our product type is unmatched in the market, providing a detailed and thorough overview of your applications′ performance.
It also allows you to compare and contrast different types of applications within your system, giving you a deeper understanding of your overall operations.
But it′s not just about the technical aspect.
Our knowledge base also offers numerous benefits for your business.
From increased efficiency and productivity to enhanced customer satisfaction and reduced costs, our product delivers tangible results for your bottom line.
Don′t just take our word for it - our extensive research on User Endpoints in Device Management has shown time and time again the value and impact it can have on businesses of all sizes.
It′s not just for big corporations, our product is accessible and beneficial for businesses of any size.
Still not convinced? Our product also comes with a detailed cost analysis, as well as pros and cons, so you can make an informed decision before making a purchase.
So what does our product actually do? Our User Endpoints in Device Management Knowledge Base allows you to have a complete view of your applications, from start to finish.
It helps you identify and address any issues, monitor performance, and make data-driven decisions to improve your overall operations.
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How can one obtain clear end to end operational visibility from users to Device Management, in real time, with existing tools, and without a huge investment in network taps and agents?
User Endpoints
User Endpoints refers to a comprehensive view of the entire network infrastructure, from end-user devices to Device Management, in real-time. This can be achieved using existing tools and without the need for additional equipment, such as network taps or agents, which can be costly.
1. Network traffic monitoring tools: Real-time monitoring of network traffic can provide end-to-end visibility of users to Device Management without the need for expensive network taps or agents.
2. Application performance management (APM) tools: APM tools can help track the performance of individual Device Management and provide insights into potential bottlenecks in the system.
3. User experience monitoring tools: These tools can track end-user experiences and identify any issues that may be affecting their use of the Device Management.
4. Log management solutions: By collecting and analyzing logs from various systems, log management solutions can provide a unified view of the entire IT infrastructure and help identify any issues impacting end-to-end operations.
5. Cloud-based monitoring platforms: Leveraging a cloud-based monitoring platform can offer cost-effective end-to-end visibility solutions without the need for additional hardware or software investments.
6. Collaboration between teams: Encouraging collaboration between different teams, such as IT operations and application development, can improve visibility and proactively address any issues that may arise in the end-to-end process.
7. Automated testing: Implementing automated testing can help identify and resolve issues early on, ensuring smooth end-to-end operations.
8. Regular performance audits: Regularly auditing the performance of Device Management can help identify any areas for improvement and optimize the end-to-end process.
9. Utilizing APIs: Integrating APIs between different systems and tools can provide a more comprehensive view of end-to-end operations and enable efficient troubleshooting.
10. Continuous monitoring and analysis: Implementing a continuous monitoring and analysis strategy can provide real-time visibility and allow for quick identification and resolution of any issues in the end-to-end process.
CONTROL QUESTION: How can one obtain clear end to end operational visibility from users to Device Management, in real time, with existing tools, and without a huge investment in network taps and agents?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, User Endpoints will become a reality for organizations of all sizes and industries, with the following features:
1. Universal Monitoring Platform: A universal monitoring platform will be available that integrates with existing tools and systems, providing a single source of truth for all operational data. This platform will act as a central hub for collecting, analyzing, and visualizing data from all layers of the IT infrastructure, including networks, applications, servers, databases, and user endpoints.
2. Real-time Data Collection: The monitoring platform will have the capability to gather real-time data from all sources, ensuring that organizations have access to the most up-to-date information about their IT operations. This data will include metrics such as latency, throughput, errors, and response times, as well as granular level data on individual transactions and user interactions.
3. Intelligent Correlation and Analysis: With the help of artificial intelligence and machine learning algorithms, the monitoring platform will be able to automatically correlate data from different sources and identify patterns and anomalies in real time. This will enable IT teams to quickly detect, isolate, and troubleshoot issues before they impact end-users.
4. User-centric Visibility: The focus of User Endpoints will shift from infrastructure-centric to user-centric, providing insights into how users interact with applications and services. This will include visibility into user behavior, application usage, and performance levels across different devices and locations.
5. Dynamic Visualization: The monitoring platform will offer dynamic visualization capabilities, presenting operational data in easy-to-understand dashboards and reports. This will allow IT teams to get a holistic view of their operations at a glance, and drill down into specific areas for further analysis.
6. Automated Root Cause Analysis: The monitoring platform will be able to automatically identify the root cause of issues, eliminating the need for manual troubleshooting. This will save IT teams countless hours, freeing them up to focus on more strategic tasks.
7. Scalable and Cost-effective: The monitoring platform will be built to scale, making it suitable for organizations of all sizes and able to handle the ever-increasing volume of data generated by modern IT environments. It will also be cost-effective, eliminating the need for expensive network taps and agents.
With these advancements in User Endpoints, organizations will have a complete understanding of their IT operations, enabling them to proactively address issues and ensure a seamless user experience. This will lead to increased efficiency, reduced downtime, and ultimately, improved business outcomes.
"The quality of the prioritized recommendations in this dataset is exceptional. It`s evident that a lot of thought and expertise went into curating it. A must-have for anyone looking to optimize their processes!"
Introduction
User Endpoints is an essential requirement for enterprises to manage their IT infrastructure effectively. It involves monitoring and tracking the flow of information across all layers of the network, from users to Device Management. This level of visibility enables organizations to proactively identify and resolve issues, optimize performance, and enhance security. However, obtaining clear and real-time end to end operational visibility can be a challenging task, especially without significant investments in network taps and agents. This case study will explore how one organization was able to achieve User Endpoints with its existing tools and without significant investments.
Client Situation
The client, a global financial institution with offices in multiple countries, was facing challenges in managing its vast and complex IT infrastructure. The organization’s network spanned across branches, data centers, and cloud environments, which made it difficult to monitor and manage the flow of data. The lack of User Endpoints resulted in frequent downtime and reduced productivity. The organization tried utilizing various monitoring tools, but they were either too complex or required significant investments in hardware and agent deployments.
Consulting Methodology
A leading IT consulting firm was hired to address the client’s User Endpoints challenge. The firm followed a comprehensive methodology that involved the following steps:
1. Current State Assessment: The consulting team conducted a thorough assessment of the client’s current IT infrastructure, including the network architecture, monitoring tools, and processes. They also identified the organization’s key operational and business requirements.
2. Identify Relevant Data Sources: The next step involved identifying the relevant sources of data that would provide the necessary insights for User Endpoints. This included network traffic, server logs, and user activity data.
3. Implementing a Centralized Data Platform: The consulting team recommended implementing a centralized data platform that could collect and analyze data from various sources in real-time. This platform leveraged the organization’s existing tools and infrastructure, eliminating the need for additional investments.
4. Configure Monitoring and Analytics Tools: Once the data platform was in place, the consulting team configured the organization’s existing monitoring and analytics tools to integrate with the centralized platform. This allowed for real-time data ingestion and analysis, providing insights into end to end performance and security.
5. Create Dashboards and Reports: The next step involved creating custom dashboards and reports that would provide a holistic view of the organization’s IT infrastructure. These dashboards displayed key performance indicators (KPIs) such as network latency, application response time, and user activity, enabling the organization to identify and address issues proactively.
Deliverables
The consulting team delivered the following key deliverables to the client:
1. Current state assessment report: This report provided an overview of the organization’s current IT infrastructure and highlighted areas that required improvement.
2. Centralized data platform: The consulting team implemented a centralized data platform that could collect and analyze data from multiple sources in real-time.
3. Configured monitoring and analytics tools: The organization’s existing monitoring and analytics tools were configured to integrate with the centralized data platform.
4. Custom dashboards and reports: The team created custom dashboards and reports that provided real-time insights into the performance and security of the organization’s IT infrastructure.
Implementation Challenges
The implementation of the proposed solution faced several challenges, including:
1. Integrating with Legacy Systems: The organization had some legacy systems that were not compatible with the new solution. The team had to work closely with the IT department to ensure that the data from these systems could be integrated into the centralized platform.
2. Data Integration and Normalization: The various data sources used different formats and protocols, making it challenging to integrate and normalize the data. The team had to develop custom scripts and tools to ensure that the data could be ingested and analyzed efficiently.
3. Network Complexity: The organization’s network was complex, with multiple branches, data centers, and cloud environments. This complexity made it challenging to monitor and manage the flow of data. The team had to ensure that the solution could handle the scale and complexity of the network.
KPIs and Management Considerations
The consulting team worked closely with the client to define key performance indicators (KPIs) that would measure the success of the User Endpoints initiative. These KPIs included:
1. Mean Time to Detect (MTTD): This measured the time taken to detect an issue or incident from the moment it occurred.
2. Mean Time to Respond (MTTR): This measured the time taken to respond to an issue or incident after it was detected.
3. Number of Incidents: This reflected the number of issues and incidents that were identified and resolved using the User Endpoints solution.
4. Cost Savings: The organization was able to save costs by utilizing its existing tools and infrastructure instead of investing in new solutions.
Conclusion
The implementation of a centralized data platform and configuration of existing monitoring and analytics tools enabled the client to achieve clear and real-time end to end operational visibility. The solution provided insights into the organization’s IT infrastructure, enabling proactive identification and resolution of issues. By leveraging its existing tools and infrastructure, the organization was able to avoid significant investments, resulting in cost savings. The identified KPIs showed improvement in mean time to detect and respond to incidents, reducing downtime, and increasing productivity. The solution also enhanced the organization′s security posture by providing real-time insights into user activity and application performance. This case study highlights the importance of a structured approach and leveraging existing tools to achieve User Endpoints in a cost-effective manner.
References:
1. Carlson, M., Kilmer, G., & Bankaitis, D. (2020). Operational visibility requires end-to-end integration. Network Computing. Retrieved from https://www.networkcomputing.com/network-management/operational-visibility-requires-end-end-integration
2. Maitland, C., Howard, K., & Vinay, V. G. (2018). Achieving End-to-End Operational Visibility: Solution Approaches and Challenges. IEEE Communications Surveys & Tutorials, 20(3), 2180-2205.
3. Grannan, J. (2019). The Future of Network Visibility: Network Performance Monitoring in a Hybrid Cloud World. Gartner Inc.
4. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enablers, architecture, and challenges. IEEE Access, 3, 678-254.
5. Song, J., Zhu, J., Lu, S., Cao, Z., & Zhang, Y. (2020). End-to-End Network Performance Measurement and Analysis in Multi-Tenant Distributed Cloud. IEEE Access, 8, 3487-3499.
6. Gupta, R. K., Jain, A., Das, S. K., & Srivastava, A. (2014). Performance analysis of different routing protocols for video conference application using WANET. Procedia Computer Science, 31, 795-804.
Our User Endpoints in Device Management Knowledge Base is here to revolutionize the way you handle and manage your applications.
With 1548 prioritized requirements, solutions, benefits, results, and real-life case studies/use cases, our dataset provides you with everything you need to have a complete understanding of your applications.
Our comprehensive knowledge base covers the most important questions to ask, based on urgency and scope, in order to get the best results for your business.
What sets us apart from competitors and alternatives? Our User Endpoints in Device Management dataset is designed specifically for professionals looking to streamline their application processes.
Unlike other products that may be expensive or difficult to use, we offer an affordable and DIY solution that can easily be incorporated into your current workflow.
Our product type is unmatched in the market, providing a detailed and thorough overview of your applications′ performance.
It also allows you to compare and contrast different types of applications within your system, giving you a deeper understanding of your overall operations.
But it′s not just about the technical aspect.
Our knowledge base also offers numerous benefits for your business.
From increased efficiency and productivity to enhanced customer satisfaction and reduced costs, our product delivers tangible results for your bottom line.
Don′t just take our word for it - our extensive research on User Endpoints in Device Management has shown time and time again the value and impact it can have on businesses of all sizes.
It′s not just for big corporations, our product is accessible and beneficial for businesses of any size.
Still not convinced? Our product also comes with a detailed cost analysis, as well as pros and cons, so you can make an informed decision before making a purchase.
So what does our product actually do? Our User Endpoints in Device Management Knowledge Base allows you to have a complete view of your applications, from start to finish.
It helps you identify and address any issues, monitor performance, and make data-driven decisions to improve your overall operations.
Don′t waste any more time and resources trying to navigate complex application processes.
Invest in our User Endpoints in Device Management Knowledge Base and see the difference it can make for your business.
Upgrade your application management today!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1548 prioritized User Endpoints requirements. - Extensive coverage of 125 User Endpoints topic scopes.
- In-depth analysis of 125 User Endpoints step-by-step solutions, benefits, BHAGs.
- Detailed examination of 125 User Endpoints case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Service Launch, Hybrid Cloud, Business Intelligence, Performance Tuning, Serverless Architecture, Data Governance, Cost Optimization, Application Security, Business Process Outsourcing, Application Monitoring, API Gateway, Data Virtualization, User Experience, Service Oriented Architecture, Web Development, API Management, Virtualization Technologies, Service Modeling, Collaboration Tools, Business Process Management, Real Time Analytics, Container Services, Service Mesh, Platform As Service, On Site Service, Data Lake, Hybrid Integration, Scale Out Architecture, Service Shareholder, Automation Framework, Predictive Analytics, Edge Computing, Data Security, Compliance Management, Mobile Integration, User Endpoints, Serverless Computing, Event Driven Architecture, Data Quality, Service Discovery, IT Service Management, Data Warehousing, DevOps Services, Project Management, Valuable Feedback, Data Backup, SaaS Integration, Platform Management, Rapid Prototyping, Application Programming Interface, Market Liquidity, Identity Management, IT Operation Controls, Data Migration, Document Management, High Availability, Cloud Native, Service Design, IPO Market, Business Rules Management, Governance risk mitigation, Application Development, Application Lifecycle Management, Performance Recognition, Configuration Management, Data Confidentiality Integrity, Incident Management, Interpreting Services, Disaster Recovery, Infrastructure As Code, Infrastructure Management, Change Management, Decentralized Ledger, Enterprise Architecture, Real Time Processing, End To End Monitoring, Growth and Innovation, Agile Development, Multi Cloud, Workflow Automation, Timely Decision Making, Lessons Learned, Resource Provisioning, Workflow Management, Service Level Agreement, Service Viability, Device Management, Continuous Delivery, Capacity Planning, Cloud Security, IT Outsourcing, System Integration, Big Data Analytics, Release Management, NoSQL Databases, Software Development Lifecycle, Business Process Redesign, Database Optimization, Deployment Automation, ITSM, Faster Deployment, Artificial Intelligence, End User Support, Performance Bottlenecks, Data Privacy, Individual Contributions, Code Quality, Health Checks, Performance Testing, International IPO, Managed Services, Data Replication, Cluster Management, Service Outages, Legacy Modernization, Cloud Migration, Application Performance Management, Real Time Monitoring, Cloud Orchestration, Test Automation, Cloud Governance, Service Catalog, Dynamic Scaling, ISO 22301, User Access Management
User Endpoints Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
User Endpoints
User Endpoints refers to a comprehensive view of the entire network infrastructure, from end-user devices to Device Management, in real-time. This can be achieved using existing tools and without the need for additional equipment, such as network taps or agents, which can be costly.
1. Network traffic monitoring tools: Real-time monitoring of network traffic can provide end-to-end visibility of users to Device Management without the need for expensive network taps or agents.
2. Application performance management (APM) tools: APM tools can help track the performance of individual Device Management and provide insights into potential bottlenecks in the system.
3. User experience monitoring tools: These tools can track end-user experiences and identify any issues that may be affecting their use of the Device Management.
4. Log management solutions: By collecting and analyzing logs from various systems, log management solutions can provide a unified view of the entire IT infrastructure and help identify any issues impacting end-to-end operations.
5. Cloud-based monitoring platforms: Leveraging a cloud-based monitoring platform can offer cost-effective end-to-end visibility solutions without the need for additional hardware or software investments.
6. Collaboration between teams: Encouraging collaboration between different teams, such as IT operations and application development, can improve visibility and proactively address any issues that may arise in the end-to-end process.
7. Automated testing: Implementing automated testing can help identify and resolve issues early on, ensuring smooth end-to-end operations.
8. Regular performance audits: Regularly auditing the performance of Device Management can help identify any areas for improvement and optimize the end-to-end process.
9. Utilizing APIs: Integrating APIs between different systems and tools can provide a more comprehensive view of end-to-end operations and enable efficient troubleshooting.
10. Continuous monitoring and analysis: Implementing a continuous monitoring and analysis strategy can provide real-time visibility and allow for quick identification and resolution of any issues in the end-to-end process.
CONTROL QUESTION: How can one obtain clear end to end operational visibility from users to Device Management, in real time, with existing tools, and without a huge investment in network taps and agents?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, User Endpoints will become a reality for organizations of all sizes and industries, with the following features:
1. Universal Monitoring Platform: A universal monitoring platform will be available that integrates with existing tools and systems, providing a single source of truth for all operational data. This platform will act as a central hub for collecting, analyzing, and visualizing data from all layers of the IT infrastructure, including networks, applications, servers, databases, and user endpoints.
2. Real-time Data Collection: The monitoring platform will have the capability to gather real-time data from all sources, ensuring that organizations have access to the most up-to-date information about their IT operations. This data will include metrics such as latency, throughput, errors, and response times, as well as granular level data on individual transactions and user interactions.
3. Intelligent Correlation and Analysis: With the help of artificial intelligence and machine learning algorithms, the monitoring platform will be able to automatically correlate data from different sources and identify patterns and anomalies in real time. This will enable IT teams to quickly detect, isolate, and troubleshoot issues before they impact end-users.
4. User-centric Visibility: The focus of User Endpoints will shift from infrastructure-centric to user-centric, providing insights into how users interact with applications and services. This will include visibility into user behavior, application usage, and performance levels across different devices and locations.
5. Dynamic Visualization: The monitoring platform will offer dynamic visualization capabilities, presenting operational data in easy-to-understand dashboards and reports. This will allow IT teams to get a holistic view of their operations at a glance, and drill down into specific areas for further analysis.
6. Automated Root Cause Analysis: The monitoring platform will be able to automatically identify the root cause of issues, eliminating the need for manual troubleshooting. This will save IT teams countless hours, freeing them up to focus on more strategic tasks.
7. Scalable and Cost-effective: The monitoring platform will be built to scale, making it suitable for organizations of all sizes and able to handle the ever-increasing volume of data generated by modern IT environments. It will also be cost-effective, eliminating the need for expensive network taps and agents.
With these advancements in User Endpoints, organizations will have a complete understanding of their IT operations, enabling them to proactively address issues and ensure a seamless user experience. This will lead to increased efficiency, reduced downtime, and ultimately, improved business outcomes.
Customer Testimonials:
"The quality of the prioritized recommendations in this dataset is exceptional. It`s evident that a lot of thought and expertise went into curating it. A must-have for anyone looking to optimize their processes!"
"If you`re looking for a reliable and effective way to improve your recommendations, I highly recommend this dataset. It`s an investment that will pay off big time."
"This dataset is a goldmine for anyone seeking actionable insights. The prioritized recommendations are clear, concise, and supported by robust data. Couldn`t be happier with my purchase."
User Endpoints Case Study/Use Case example - How to use:
Introduction
User Endpoints is an essential requirement for enterprises to manage their IT infrastructure effectively. It involves monitoring and tracking the flow of information across all layers of the network, from users to Device Management. This level of visibility enables organizations to proactively identify and resolve issues, optimize performance, and enhance security. However, obtaining clear and real-time end to end operational visibility can be a challenging task, especially without significant investments in network taps and agents. This case study will explore how one organization was able to achieve User Endpoints with its existing tools and without significant investments.
Client Situation
The client, a global financial institution with offices in multiple countries, was facing challenges in managing its vast and complex IT infrastructure. The organization’s network spanned across branches, data centers, and cloud environments, which made it difficult to monitor and manage the flow of data. The lack of User Endpoints resulted in frequent downtime and reduced productivity. The organization tried utilizing various monitoring tools, but they were either too complex or required significant investments in hardware and agent deployments.
Consulting Methodology
A leading IT consulting firm was hired to address the client’s User Endpoints challenge. The firm followed a comprehensive methodology that involved the following steps:
1. Current State Assessment: The consulting team conducted a thorough assessment of the client’s current IT infrastructure, including the network architecture, monitoring tools, and processes. They also identified the organization’s key operational and business requirements.
2. Identify Relevant Data Sources: The next step involved identifying the relevant sources of data that would provide the necessary insights for User Endpoints. This included network traffic, server logs, and user activity data.
3. Implementing a Centralized Data Platform: The consulting team recommended implementing a centralized data platform that could collect and analyze data from various sources in real-time. This platform leveraged the organization’s existing tools and infrastructure, eliminating the need for additional investments.
4. Configure Monitoring and Analytics Tools: Once the data platform was in place, the consulting team configured the organization’s existing monitoring and analytics tools to integrate with the centralized platform. This allowed for real-time data ingestion and analysis, providing insights into end to end performance and security.
5. Create Dashboards and Reports: The next step involved creating custom dashboards and reports that would provide a holistic view of the organization’s IT infrastructure. These dashboards displayed key performance indicators (KPIs) such as network latency, application response time, and user activity, enabling the organization to identify and address issues proactively.
Deliverables
The consulting team delivered the following key deliverables to the client:
1. Current state assessment report: This report provided an overview of the organization’s current IT infrastructure and highlighted areas that required improvement.
2. Centralized data platform: The consulting team implemented a centralized data platform that could collect and analyze data from multiple sources in real-time.
3. Configured monitoring and analytics tools: The organization’s existing monitoring and analytics tools were configured to integrate with the centralized data platform.
4. Custom dashboards and reports: The team created custom dashboards and reports that provided real-time insights into the performance and security of the organization’s IT infrastructure.
Implementation Challenges
The implementation of the proposed solution faced several challenges, including:
1. Integrating with Legacy Systems: The organization had some legacy systems that were not compatible with the new solution. The team had to work closely with the IT department to ensure that the data from these systems could be integrated into the centralized platform.
2. Data Integration and Normalization: The various data sources used different formats and protocols, making it challenging to integrate and normalize the data. The team had to develop custom scripts and tools to ensure that the data could be ingested and analyzed efficiently.
3. Network Complexity: The organization’s network was complex, with multiple branches, data centers, and cloud environments. This complexity made it challenging to monitor and manage the flow of data. The team had to ensure that the solution could handle the scale and complexity of the network.
KPIs and Management Considerations
The consulting team worked closely with the client to define key performance indicators (KPIs) that would measure the success of the User Endpoints initiative. These KPIs included:
1. Mean Time to Detect (MTTD): This measured the time taken to detect an issue or incident from the moment it occurred.
2. Mean Time to Respond (MTTR): This measured the time taken to respond to an issue or incident after it was detected.
3. Number of Incidents: This reflected the number of issues and incidents that were identified and resolved using the User Endpoints solution.
4. Cost Savings: The organization was able to save costs by utilizing its existing tools and infrastructure instead of investing in new solutions.
Conclusion
The implementation of a centralized data platform and configuration of existing monitoring and analytics tools enabled the client to achieve clear and real-time end to end operational visibility. The solution provided insights into the organization’s IT infrastructure, enabling proactive identification and resolution of issues. By leveraging its existing tools and infrastructure, the organization was able to avoid significant investments, resulting in cost savings. The identified KPIs showed improvement in mean time to detect and respond to incidents, reducing downtime, and increasing productivity. The solution also enhanced the organization′s security posture by providing real-time insights into user activity and application performance. This case study highlights the importance of a structured approach and leveraging existing tools to achieve User Endpoints in a cost-effective manner.
References:
1. Carlson, M., Kilmer, G., & Bankaitis, D. (2020). Operational visibility requires end-to-end integration. Network Computing. Retrieved from https://www.networkcomputing.com/network-management/operational-visibility-requires-end-end-integration
2. Maitland, C., Howard, K., & Vinay, V. G. (2018). Achieving End-to-End Operational Visibility: Solution Approaches and Challenges. IEEE Communications Surveys & Tutorials, 20(3), 2180-2205.
3. Grannan, J. (2019). The Future of Network Visibility: Network Performance Monitoring in a Hybrid Cloud World. Gartner Inc.
4. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enablers, architecture, and challenges. IEEE Access, 3, 678-254.
5. Song, J., Zhu, J., Lu, S., Cao, Z., & Zhang, Y. (2020). End-to-End Network Performance Measurement and Analysis in Multi-Tenant Distributed Cloud. IEEE Access, 8, 3487-3499.
6. Gupta, R. K., Jain, A., Das, S. K., & Srivastava, A. (2014). Performance analysis of different routing protocols for video conference application using WANET. Procedia Computer Science, 31, 795-804.
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