Hyper-V is Microsoft's hypervisor-based virtualization system for x86-64 systems that supports isolation in terms of partitions. These partitions can each run copies of operating systems and allow applications to run in isolation.
As companies move to a more virtualized environment, many will choose to use different virtualization technologies. Each of these technologies, Hyper-V included, give companies opportunities to better manage capacity in data centers. Some people have argued that virtualization and the management tools that are built in have eliminated the need for a Capacity Management process and/or a Capacity Management staff. This couldn't be farther from the truth, as a poorly managed virtualized environment can cause performance problems for all the services that run in the environment. Therefore, proper Capacity Management processes are even more important in a virtualized environment.
Once a company recognizes that Capacity Management is vital, the next step is to put a process and a set of tools in place that will help the Capacity Manager understand and make appropriate recommendations to management.
This webinar will look at the following:
•A brief overview of Hyper-V
•A look at the data and information that's available to the Capacity Manager
•Some unique challenges that Hyper-V brings to the Capacity Manager
•How a properly managed Hyper-V environment can help maximize the use of the deployed hardware
CrXPRT reliably evaluates the performance and battery life of devices running the Google Chrome operating system (OS). The benchmark provides an intuitive user interface, a runtime allowing it to be completed within half of a typical work day, and easy-to-understand results.
This document provides guidance on WCDMA radio network handover algorithms and parameter configuration for internal use at Huawei Technologies Co. Ltd. It analyzes handover measurements and algorithms, including intra-frequency, inter-frequency, and inter-system handovers. It also describes handover parameter settings for common parameters, intra-frequency, inter-frequency, inter-system, compressed mode, and direct retry algorithms. Tables and figures are included to illustrate recommended hysteresis and time-to-trigger settings for different user movement speeds. The document contains technical details to help optimize network performance during handovers.
Transaction-based Capacity Planning for greater IT Reliability™ webinar Metron
Do you need to predict the true impact of business growth for a specific department or product line?
Are you unsure which infrastructure items (servers and their logical software components) are serving which business applications and on which tiers response time for your transactions are taking place?
Now you can get a valuable insight into the performance across all tiers of your enterprise data center environments.
We’ll show you how you can combine business forecast information with infrastructure performance metrics and predict whether you have sufficient capacity to meet the needs of your business at both the component and service levels.
Join us and find out how the combination of Correlsense SharePath and Metron athene® will provide you with a complete Capacity Management solution
webinar vmware v-sphere performance management Challenges and Best PracticesMetron
With the majority of businesses using internal Cloud Services, whether it be Software as a Service (SaaS), Platform as a Service (PaaS) or Infrastructure as a Service (IaaS) in a VMware vSphere environment, this presentation gives an insight into how to manage the gathering Storm Clouds. After an introduction to VMware's Virtual Infrastructure 4 (vSphere) environment andCloud Computing, we discuss how Capacity Management provides the means to spot potential Storm Clouds far in advance and more specifically, how you can avoid them.
Delving deeper we look at IaaS and how to identify potential capacity on demand issues. Discussion focuses on topics such as:
•identifying whether virtual machines are under or over provisioned
•the advantages/disadvantages of application sizing
•how to minimize SLA impact
•whether to scale the infrastructure out, up or in and ultimately how to get it right.
Typically organizations have adopted a "silo mentality" whereby they ring fence IT systems and don’t share resources through lack of trust and confidence. We look at the advantages virtualization brings in terms of flexibility, scalability, cost reduction (monetary and environmental) and how we can protect our 'loved ones' through resource pools, shares, reservations and limits.
With all this in mind, join us to find out what information and processes we recommend you need to have and implement to avoid an Internal Storm and ensure that Brighter Outlook!
Metron provides capacity management tools and services for storage area networks (SANs). The document discusses two aspects of storage capacity - disk space and performance. It emphasizes the importance of tracking storage usage and costs, implementing tiered billing models, and using tools like Athene to forecast needs, track utilization across virtual and clustered environments, and establish performance baselines and thresholds. Effective capacity management requires collaboration between business and IT stakeholders to understand usage and ensure storage supports business goals.
The document is a presentation on ESXi performance principles given by Valentin Bondzio, a VMware employee. The presentation covers topics such as CPU scheduling and accounting, ESXi memory management, CPU topology abstraction, I/O, vMotion, and backup. It includes slides on the CPU scheduler overview describing what the scheduler does in terms of balancing and placing workloads, and slides on CPU usage accounting states such as idle, ready, running, and what is charged against VMs.
The document discusses memory hierarchy and management. It describes how memory is organized in a hierarchy from fastest and smallest registers to slower but larger magnetic disks and tapes. It also covers concepts like cache hits and misses, main memory, multiprogramming and partitioning memory between multiple processes, and memory protection through relocation and segmentation.
CrXPRT reliably evaluates the performance and battery life of devices running the Google Chrome operating system (OS). The benchmark provides an intuitive user interface, a runtime allowing it to be completed within half of a typical work day, and easy-to-understand results.
This document provides guidance on WCDMA radio network handover algorithms and parameter configuration for internal use at Huawei Technologies Co. Ltd. It analyzes handover measurements and algorithms, including intra-frequency, inter-frequency, and inter-system handovers. It also describes handover parameter settings for common parameters, intra-frequency, inter-frequency, inter-system, compressed mode, and direct retry algorithms. Tables and figures are included to illustrate recommended hysteresis and time-to-trigger settings for different user movement speeds. The document contains technical details to help optimize network performance during handovers.
Transaction-based Capacity Planning for greater IT Reliability™ webinar Metron
Do you need to predict the true impact of business growth for a specific department or product line?
Are you unsure which infrastructure items (servers and their logical software components) are serving which business applications and on which tiers response time for your transactions are taking place?
Now you can get a valuable insight into the performance across all tiers of your enterprise data center environments.
We’ll show you how you can combine business forecast information with infrastructure performance metrics and predict whether you have sufficient capacity to meet the needs of your business at both the component and service levels.
Join us and find out how the combination of Correlsense SharePath and Metron athene® will provide you with a complete Capacity Management solution
webinar vmware v-sphere performance management Challenges and Best PracticesMetron
With the majority of businesses using internal Cloud Services, whether it be Software as a Service (SaaS), Platform as a Service (PaaS) or Infrastructure as a Service (IaaS) in a VMware vSphere environment, this presentation gives an insight into how to manage the gathering Storm Clouds. After an introduction to VMware's Virtual Infrastructure 4 (vSphere) environment andCloud Computing, we discuss how Capacity Management provides the means to spot potential Storm Clouds far in advance and more specifically, how you can avoid them.
Delving deeper we look at IaaS and how to identify potential capacity on demand issues. Discussion focuses on topics such as:
•identifying whether virtual machines are under or over provisioned
•the advantages/disadvantages of application sizing
•how to minimize SLA impact
•whether to scale the infrastructure out, up or in and ultimately how to get it right.
Typically organizations have adopted a "silo mentality" whereby they ring fence IT systems and don’t share resources through lack of trust and confidence. We look at the advantages virtualization brings in terms of flexibility, scalability, cost reduction (monetary and environmental) and how we can protect our 'loved ones' through resource pools, shares, reservations and limits.
With all this in mind, join us to find out what information and processes we recommend you need to have and implement to avoid an Internal Storm and ensure that Brighter Outlook!
Metron provides capacity management tools and services for storage area networks (SANs). The document discusses two aspects of storage capacity - disk space and performance. It emphasizes the importance of tracking storage usage and costs, implementing tiered billing models, and using tools like Athene to forecast needs, track utilization across virtual and clustered environments, and establish performance baselines and thresholds. Effective capacity management requires collaboration between business and IT stakeholders to understand usage and ensure storage supports business goals.
The document is a presentation on ESXi performance principles given by Valentin Bondzio, a VMware employee. The presentation covers topics such as CPU scheduling and accounting, ESXi memory management, CPU topology abstraction, I/O, vMotion, and backup. It includes slides on the CPU scheduler overview describing what the scheduler does in terms of balancing and placing workloads, and slides on CPU usage accounting states such as idle, ready, running, and what is charged against VMs.
The document discusses memory hierarchy and management. It describes how memory is organized in a hierarchy from fastest and smallest registers to slower but larger magnetic disks and tapes. It also covers concepts like cache hits and misses, main memory, multiprogramming and partitioning memory between multiple processes, and memory protection through relocation and segmentation.
Tackling the Management Challenges of Server Consolidation on Multi-core SystemsThe Linux Foundation
This document discusses server consolidation challenges on multi-core systems. It finds that hypervisor overhead increases significantly under high system load. Frequent context switching accounts for a large portion of hypervisor CPU cycles. Optimizing the credit scheduler to reduce context switching frequency improves performance by lowering hypervisor overhead by 22% and increasing performance per CPU utilization by 15%.
VDI projects often fail due to lack of proper planning and testing. Key reasons for failure include not understanding compute and storage requirements, guessing at user needs rather than measuring them, and insufficient testing with real users and applications. Proper testing is needed to understand peak usage periods, application impacts on performance over time, and how the system performs at scale.
This document provides guidance on designing a virtual desktop infrastructure (VDI). It discusses key decision points around the hypervisor, servers, and storage. It recommends determining user groups, applications, and requirements through piloting before finalizing the design. The document also analyzes options for the hypervisor, servers including CPU, memory, and local storage considerations, and storage including the impact of VM density and hidden capacity needs. Monitoring IOPS and latency is emphasized as critical to ensuring a successful VDI deployment.
Yuriy Bogdanov discusses the efficient use of NodeJS. He shares his experience using NodeJS for projects starting in early versions. While NodeJS has benefits like being lightweight and efficient for I/O intensive real-time apps, it has a narrow scope of effective usage. NodeJS works best for tasks with high I/O and low CPU usage, and may not be suitable for features that require high reliability. JavaScript also enables flexibility but leads to difficulties in server technologies without conventions.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify optimization opportunities.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify opportunities for CPU redistribution.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify opportunities for CPU redistribution.
Codemotion Rome 2015 - Building a drone from scratch with spare parts is a challenging business. To accomplish this journey, a Linux embedded stability control system is developed entirely from 0.This is a journey starting from the hardware choosing (a home WIFI router), to a stable and real flight. Unconventional implementations are one of the main topic, like using WiFi as communication between drone and pilot, HTML5 and COMET to show telemetry from the router web server, and implementing a entirely new protocol based on 802.11 Beacon Frames to prevent deauthentication attacks.
Grid technology for next gen media processingvrt-medialab
This document discusses using grid technology for distributed media processing tasks like video transcoding. It presents the MediaGrid concept of sharing heterogeneous storage and computational resources across organizations. Test results show distributing video transcoding across multiple servers can significantly reduce processing time. Simulation results indicate total job time is highly dependent on available WAN bandwidth when outsourcing to remote resource providers. The conclusions are that grid technology is viable for media production tasks by enabling parallelism, but technical limitations exist when using remote resources over insufficient network connections.
The document discusses benchmark instrumentation using the NAS parallel benchmarks suite. It outlines experiments run using the Integer Sort benchmark on two systems - a personal computer and a larger multi-processor system. Performance was analyzed using the Paraver visualization tool, looking at code view, communication, I/O, load balancing, cache misses and CPI. Execution time improved with increased processors on the larger system but not on the personal computer. Benchmarking time speedup was also higher on the larger multi-processor system. In conclusion, the NAS benchmarks are better suited for highly parallel supercomputers, while the personal computer could not achieve speedup.
Fast & Furious: building HPC solutions in a nutshellVictor Haydin
Victor Haydin presented on high-performance computing (HPC). He began by defining HPC as using supercomputers and computer clusters to solve advanced computation problems, such as those involving teraflops-level performance. He discussed why HPC is needed for applications in areas like finances, healthcare, fluid dynamics, and genetics. Finally, he outlined some approaches to implementing HPC, such as using commodity hardware, GPU-based systems, distributed and load-balanced architectures, and middleware to handle errors and allow the same code to run on CPUs and GPUs.
The document discusses virtualization and its implementation at GHCL Ltd's Sutrapada facility. It defines virtualization as creating virtual versions of operating systems, storage, and network resources. The goals of virtualization are to centralize administration, improve scalability and hardware utilization. Types of virtualization discussed include full, partial, and para virtualization. The document outlines how virtual machines are created, monitored, snapshotted, migrated, and used for failover. It provides an example virtualization implementation at GHCL including resource planning and allocation across three physical servers. Finally, it discusses desktop virtualization and its advantages over traditional desktop computing.
This document discusses VMware Operation Management. It begins with an overview of how virtualization has transformed IT and the management challenges that arise in virtualized environments. It then discusses the differences between infrastructure teams and operations teams, and how their roles converge with virtualization. Finally, it introduces VMware Operations Manager and its features for providing comprehensive visibility, intelligent automation, and proactive management of virtualized infrastructure and operations.
The document discusses various types of performance tests that can be conducted on an application including smoke tests, load tests, stress tests, endurance tests, and spike tests. It provides details on parameters for each type of test like number of users, ramp up/down times, duration, and whether think and pacing times are included. It also covers monitoring various operating system and SQL Server metrics that can be captured during the tests.
This document provides an overview of advanced load balancing capabilities in Apache HTTP Server 2.2 using the mod_proxy module. Key points include:
- Mod_proxy allows Apache to function as a reverse proxy or load balancer for backend servers.
- New in 2.2 are improvements like large file support, graceful stop, mod_dbd integration, and better debugging.
- Load balancing is implemented through balancer providers that can be customized. Default providers balance by requests, traffic, or server busyness.
- Features like connection pooling, sticky sessions, failover clusters, and an embedded admin interface provide robust load balancing functionality.
XPDDS18: Real Time in XEN on ARM - Andrii Anisov, EPAM Systems Inc.The Linux Foundation
Currently, several initiatives promote XEN hypervisor into the automotive area as a base of complex virtualized systems. To support those initiatives and plunge into the automotive world XEN should fit at least two requirements: it should be appropriately certified and to be able to host a security domain. Leaving behind certification topic, here we focus on security domain hosting capability of XEN. Particularly on keeping RT guarantees for the specific domain.
This talk is a presentation of the investigation on a XEN hypervisor applicability to building a multi-OS system with real-time guarantees being kept for one of the hosted OSes.
During this presentation following topics would be outlined:
- experimental setup
- experimental use-cases and their motivation
- received results and discovered issues
- solutions and mitigation measures for discovered issues
The document discusses ACRN, an open-source lightweight hypervisor intended for consolidating heterogeneous workloads and streamlining IoT edge development. It provides an overview of ACRN's architecture and key modules, including boot process, CPU virtualization, memory management, interrupt handling, pass-through devices, and device model for handling I/O requests. The document also outlines enhancements in ACRN 2.0, such as supporting new operating systems and safety/real-time virtual machines.
In this unit we introduce interrupts in processors and microcontrollers. We explain how the UoS processor (which doesn't support interrupts currently) could be extended to support interrupts.
Unit duration: 50mn.
License: LGPL 2.1
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1N4GN6z.
Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. Gregg includes advice and methodologies for verifying new performance tools, understanding how they work, and using them successfully. Filmed at qconsf.com.
Brendan Gregg is a senior performance architect at Netflix, where he does large scale computer performance design, analysis, and tuning. He is the author of multiple technical books including Systems Performance published by Prentice Hall, and received the USENIX LISA Award for Outstanding Achievement in System Administration.
Are you looking at installing new VMware hosts? Are your existing VMware hosts running out of gas?
If the answer is yes, are you really sure about this? We find that many VMware users believe their hosts are full, but, in reality, they have plenty of spare capacity for more VM’s.
Tackling the Management Challenges of Server Consolidation on Multi-core SystemsThe Linux Foundation
This document discusses server consolidation challenges on multi-core systems. It finds that hypervisor overhead increases significantly under high system load. Frequent context switching accounts for a large portion of hypervisor CPU cycles. Optimizing the credit scheduler to reduce context switching frequency improves performance by lowering hypervisor overhead by 22% and increasing performance per CPU utilization by 15%.
VDI projects often fail due to lack of proper planning and testing. Key reasons for failure include not understanding compute and storage requirements, guessing at user needs rather than measuring them, and insufficient testing with real users and applications. Proper testing is needed to understand peak usage periods, application impacts on performance over time, and how the system performs at scale.
This document provides guidance on designing a virtual desktop infrastructure (VDI). It discusses key decision points around the hypervisor, servers, and storage. It recommends determining user groups, applications, and requirements through piloting before finalizing the design. The document also analyzes options for the hypervisor, servers including CPU, memory, and local storage considerations, and storage including the impact of VM density and hidden capacity needs. Monitoring IOPS and latency is emphasized as critical to ensuring a successful VDI deployment.
Yuriy Bogdanov discusses the efficient use of NodeJS. He shares his experience using NodeJS for projects starting in early versions. While NodeJS has benefits like being lightweight and efficient for I/O intensive real-time apps, it has a narrow scope of effective usage. NodeJS works best for tasks with high I/O and low CPU usage, and may not be suitable for features that require high reliability. JavaScript also enables flexibility but leads to difficulties in server technologies without conventions.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify optimization opportunities.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify opportunities for CPU redistribution.
Karl Arao presented on monitoring and capacity planning on consolidated environments. He discussed comparing CPU speeds using benchmarks like TPC-C and SPECint, the difference between cores and threads, common CPU events like CPU wait and scheduler, and tools for CPU monitoring like AWR, Tableau, vmstat and collectl. He showed examples of using these tools to analyze CPU usage across multiple hosts on a consolidated Exadata platform and identify opportunities for CPU redistribution.
Codemotion Rome 2015 - Building a drone from scratch with spare parts is a challenging business. To accomplish this journey, a Linux embedded stability control system is developed entirely from 0.This is a journey starting from the hardware choosing (a home WIFI router), to a stable and real flight. Unconventional implementations are one of the main topic, like using WiFi as communication between drone and pilot, HTML5 and COMET to show telemetry from the router web server, and implementing a entirely new protocol based on 802.11 Beacon Frames to prevent deauthentication attacks.
Grid technology for next gen media processingvrt-medialab
This document discusses using grid technology for distributed media processing tasks like video transcoding. It presents the MediaGrid concept of sharing heterogeneous storage and computational resources across organizations. Test results show distributing video transcoding across multiple servers can significantly reduce processing time. Simulation results indicate total job time is highly dependent on available WAN bandwidth when outsourcing to remote resource providers. The conclusions are that grid technology is viable for media production tasks by enabling parallelism, but technical limitations exist when using remote resources over insufficient network connections.
The document discusses benchmark instrumentation using the NAS parallel benchmarks suite. It outlines experiments run using the Integer Sort benchmark on two systems - a personal computer and a larger multi-processor system. Performance was analyzed using the Paraver visualization tool, looking at code view, communication, I/O, load balancing, cache misses and CPI. Execution time improved with increased processors on the larger system but not on the personal computer. Benchmarking time speedup was also higher on the larger multi-processor system. In conclusion, the NAS benchmarks are better suited for highly parallel supercomputers, while the personal computer could not achieve speedup.
Fast & Furious: building HPC solutions in a nutshellVictor Haydin
Victor Haydin presented on high-performance computing (HPC). He began by defining HPC as using supercomputers and computer clusters to solve advanced computation problems, such as those involving teraflops-level performance. He discussed why HPC is needed for applications in areas like finances, healthcare, fluid dynamics, and genetics. Finally, he outlined some approaches to implementing HPC, such as using commodity hardware, GPU-based systems, distributed and load-balanced architectures, and middleware to handle errors and allow the same code to run on CPUs and GPUs.
The document discusses virtualization and its implementation at GHCL Ltd's Sutrapada facility. It defines virtualization as creating virtual versions of operating systems, storage, and network resources. The goals of virtualization are to centralize administration, improve scalability and hardware utilization. Types of virtualization discussed include full, partial, and para virtualization. The document outlines how virtual machines are created, monitored, snapshotted, migrated, and used for failover. It provides an example virtualization implementation at GHCL including resource planning and allocation across three physical servers. Finally, it discusses desktop virtualization and its advantages over traditional desktop computing.
This document discusses VMware Operation Management. It begins with an overview of how virtualization has transformed IT and the management challenges that arise in virtualized environments. It then discusses the differences between infrastructure teams and operations teams, and how their roles converge with virtualization. Finally, it introduces VMware Operations Manager and its features for providing comprehensive visibility, intelligent automation, and proactive management of virtualized infrastructure and operations.
The document discusses various types of performance tests that can be conducted on an application including smoke tests, load tests, stress tests, endurance tests, and spike tests. It provides details on parameters for each type of test like number of users, ramp up/down times, duration, and whether think and pacing times are included. It also covers monitoring various operating system and SQL Server metrics that can be captured during the tests.
This document provides an overview of advanced load balancing capabilities in Apache HTTP Server 2.2 using the mod_proxy module. Key points include:
- Mod_proxy allows Apache to function as a reverse proxy or load balancer for backend servers.
- New in 2.2 are improvements like large file support, graceful stop, mod_dbd integration, and better debugging.
- Load balancing is implemented through balancer providers that can be customized. Default providers balance by requests, traffic, or server busyness.
- Features like connection pooling, sticky sessions, failover clusters, and an embedded admin interface provide robust load balancing functionality.
XPDDS18: Real Time in XEN on ARM - Andrii Anisov, EPAM Systems Inc.The Linux Foundation
Currently, several initiatives promote XEN hypervisor into the automotive area as a base of complex virtualized systems. To support those initiatives and plunge into the automotive world XEN should fit at least two requirements: it should be appropriately certified and to be able to host a security domain. Leaving behind certification topic, here we focus on security domain hosting capability of XEN. Particularly on keeping RT guarantees for the specific domain.
This talk is a presentation of the investigation on a XEN hypervisor applicability to building a multi-OS system with real-time guarantees being kept for one of the hosted OSes.
During this presentation following topics would be outlined:
- experimental setup
- experimental use-cases and their motivation
- received results and discovered issues
- solutions and mitigation measures for discovered issues
The document discusses ACRN, an open-source lightweight hypervisor intended for consolidating heterogeneous workloads and streamlining IoT edge development. It provides an overview of ACRN's architecture and key modules, including boot process, CPU virtualization, memory management, interrupt handling, pass-through devices, and device model for handling I/O requests. The document also outlines enhancements in ACRN 2.0, such as supporting new operating systems and safety/real-time virtual machines.
In this unit we introduce interrupts in processors and microcontrollers. We explain how the UoS processor (which doesn't support interrupts currently) could be extended to support interrupts.
Unit duration: 50mn.
License: LGPL 2.1
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1N4GN6z.
Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. Gregg includes advice and methodologies for verifying new performance tools, understanding how they work, and using them successfully. Filmed at qconsf.com.
Brendan Gregg is a senior performance architect at Netflix, where he does large scale computer performance design, analysis, and tuning. He is the author of multiple technical books including Systems Performance published by Prentice Hall, and received the USENIX LISA Award for Outstanding Achievement in System Administration.
Are you looking at installing new VMware hosts? Are your existing VMware hosts running out of gas?
If the answer is yes, are you really sure about this? We find that many VMware users believe their hosts are full, but, in reality, they have plenty of spare capacity for more VM’s.
Similar to webinar capacity management for hyper-v (20)
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This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
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B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
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Every industrial revolution has created a new set of categories and a new set of players.
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Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
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Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
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IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
2. Agenda
• A brief overview of Hyper-V
• A look at the data and information that's available to the
Capacity Manager
• Some unique challenges that Hyper-V brings to the Capacity
Manager
4. What is Hyper-V?
• A software virtual machine monitor for x64 systems that shares the
same design as Xen
• Type 1 Hypervisor
• First production release was on 26 June 2008
• Key elements are:
• The hypervisor (around 100k in size)
• Parent or root partition (the first and controlling guest)
• Child partitions
• Two versions
5. What is Hyper-V?
• Windows 2008 R2
• Hyper-V role
• Windows + virtualization
• Live Migration
• Clustering capability
• Hyper-V Server 2008 R2
• Light weight version
• Purely virtualization
8. Hyper-V Core – Dynamic Memory
• Available with SP1
• Adjust memory based on workload
• Memory management
• Startup RAM
• Max RAM
• Memory buffer & pressure
• Memory priority
9. Hyper-V Core – Dynamic Memory
• Dynamic memory buffer and pressure
• Pressure = ratio of memory needs/has
• Buffer = Percentage of committed memory
• Dynamic Memory Priority
• Set at the VM level
10. Hyper-V Core - Live Migration
• Source and destination host must be part of same failover cluster
• VM must be on shared storage
• Host processors must be the same
• Manufacturer and processor
• You need SCVMM R2
• Underlying OS must be Windows Server 2008 R2
11. Hyper-V vs vmware
• Cost savings
• Licenses very cheap
• New vmware cost memory
• Potentially better performance with other MS applications
• Access to internal MS teams
• Less functionality (although starting to catch-up)
13. Performance Monitoring
• Capturing the data
• SCOM/SCVMM
• Raw performance counters
• Interpreting the data
14. System Center Operations Manager
• Provides central source of monitoring for Hyper-V
• Management packs
• Minimal metrics
• No focus on Capacity Management
• Inbuilt aggregation
• Provides multiple monitoring levels
• Host
• Guest
• Application
15. System Center Virtual Machine Manager
• Multiple host management
• Multiple hypervisor management
• Template and library management
• Integrated P2V
• VM performance monitoring
• Live Migration
• Manage vmware estate as well (via vCenter)
16. Capturing Performance Data
• Main sources of information are the Hyper-V performance counters as
seen from the root partition
• 21 functioning counters that provide around 600 metrics in total
• Vendor products should interrogate these remotely via WMI
• Perfmon metrics within each guest partition may not be reliable
• For CPU etc.
• However certain other metrics can be used
• Monitoring via SCVMM
26. Challenges – Getting the data
• WMI access directly to the host
• Provides a view on physical and partition usage
• Misses the wider cluster view
• Lack application/process information
• Via SCOM/SCVMM
• Provides wider view of performance
• Default metrics light on performance/capacity
• Multiple platforms
• Windows and Linux information
27. Challenges – The levels
• Cluster
• Individual application clusters
• The wider Hyper-V estate
• Host
• How is the host performing
• How much capacity is available
• Guest
• Check dynamic memory settings
• Application performance
28. Simple performance guidelines
• CPU performance
• Logical processors
• Virtual processors
• MSDN troubleshooting guide
• Memory performance
• Memory available and paging
• Disk I/O performance
• Logical disk latency metrics
• .VHD usage, care with static/dynamic
• Network performance
• Bytes/sec and output queue length