This document discusses optimizations made to FUSE for improving performance when using Parallels Cloud Storage. It summarizes the key optimizations made as asynchronous direct I/O, which allows I/O requests to be submitted asynchronously without blocking; synchronous direct I/O, which batches small writes into larger requests to reduce overhead; and writeback caching, which caches writes in memory before writing to storage asynchronously in the background. Performance testing showed the optimized FUSE implementation using Parallels Cloud Storage outperformed an iSCSI SAN storage system on 10 nodes despite using only commodity hardware. Future improvements discussed include allowing variable message sizes, eliminating global locks, using multiple queues, and setting CPU and NUMA affinities.
View the performance metrics that turned the heads of VMware, EMC, and NetApp at VMworld 2011.
See the reason why Nexenta is now the single biggest threat to legacy storage.
In this session, Boyan Krosnov, CPO of StorPool will discuss a private cloud setup with KVM achieving 1M IOPS per hyper-converged (storage+compute) node. We will answer the question: What is the optimum architecture and configuration for performance and efficiency?
View the performance metrics that turned the heads of VMware, EMC, and NetApp at VMworld 2011.
See the reason why Nexenta is now the single biggest threat to legacy storage.
In this session, Boyan Krosnov, CPO of StorPool will discuss a private cloud setup with KVM achieving 1M IOPS per hyper-converged (storage+compute) node. We will answer the question: What is the optimum architecture and configuration for performance and efficiency?
Upgrading your Private Cloud to Windows Server 2012 R2Tudor Damian
Learn about the functionality and processes that are available to enable you to move your private cloud deployments to Windows Server 2012 R2 with zero downtime. Understand the options that are available to you and the considerations that need to be made as you determine the best path for continuing to keep your environment on the best technology available for private clouds today. This session covers the end to end approach including Hyper-V, Clustering, Storage and SCVMM.
The new AMD EPYC solutions from OVHcloud: what benefits?OVHcloud
The AMD EPYC processor’s agility helps you manage new deployments and changing workloads, with the system resources you need, simply and cost-effectively. AMD is the server processor company you can count on for innovation and leadership today and into the future.
Doble CPU y doble sistema operativo: Una solución NAS, SAN perfecta para tareas informáticas de alto rendimiento y almacenamiento, utilizando el sistema operativo QES o QTS
Upgrading your Private Cloud to Windows Server 2012 R2Tudor Damian
Learn about the functionality and processes that are available to enable you to move your private cloud deployments to Windows Server 2012 R2 with zero downtime. Understand the options that are available to you and the considerations that need to be made as you determine the best path for continuing to keep your environment on the best technology available for private clouds today. This session covers the end to end approach including Hyper-V, Clustering, Storage and SCVMM.
The new AMD EPYC solutions from OVHcloud: what benefits?OVHcloud
The AMD EPYC processor’s agility helps you manage new deployments and changing workloads, with the system resources you need, simply and cost-effectively. AMD is the server processor company you can count on for innovation and leadership today and into the future.
Doble CPU y doble sistema operativo: Una solución NAS, SAN perfecta para tareas informáticas de alto rendimiento y almacenamiento, utilizando el sistema operativo QES o QTS
TrioNAS LX U300 consolidate NAS and SAN offers multiple enterprise-level features including DeDup & Compression, Unlimited Snapshot, Thin Provisioning, Online Capacity Expansion and SSD caching.
For years Qsan has won plenty of proven records in enterprise markets and numerous vertical industries. Based on expertise in delivering in-house iSCSI & RAID stack, TrioNAS LX U300 deliver the best price-performance value to meet enterprise IT budget and specific needs.
For more detail please visit: http://www.qsantechnology.com/en/raidsystem_view.php?RSTID=AQ000108
Running a database on local NVMes on KubernetesDoKC
Link: https://youtu.be/3aNEhHLHZok
https://go.dok.community/slack
https://dok.community/
From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)
Running a database on Kubernetes with persistent storage is relatively easy but when it comes to performance it won’t match local NVMes. This talk will show you how to set up the local NVMes for Kubernetes, how to handle the application and cluster lifecycle in a safe manner and share our experience with running ScyllaDB with local NVMes on different Kubernetes cloud providers.
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Tomas leads the development of Scylla Operator (https://github.com/scylladb/scylla-operator), a Kubernetes operator to manage ScyllaDB. Previously, he worked on a self-hosted, auto-upgrading Kubernetes control plane for RedHat OpenShift. Tomas is an Emeritus Kubernetes SIG-Apps approver.
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Maciej is a Go and C++ enthusiast. He is a software engineer working on ScyllaDB management tools. Previously he worked in network companies where he delivered multiple features to SDN solutions and LTE networks.
Running a database on local NVMes on KubernetesDoKC
Running a database on Kubernetes with persistent storage is relatively easy but when it comes to performance it won’t match local NVMes. This talk will show you how to set up the local NVMes for Kubernetes, how to handle the application and cluster lifecycle in a safe manner and share our experience with running ScyllaDB with local NVMes on different Kubernetes cloud providers.
This talk was given by Tomáš Nožička and Maciej Zimnoch for DoK Day Europe @ KubeCon 2022.
Yesterday's thinking may still believe NVMe (NVM Express) is in transition to a production ready solution. In this session, we will discuss how the evolution of NVMe is ready for production, the history and evolution of NVMe and the Linux stack to address where NVMe has progressed today to become the low latency, highly reliable database key value store mechanism that will drive the future of cloud expansion. Examples of protocol efficiencies and types of storage engines that are optimizing for NVMe will be discussed. Please join us for an exciting session where in-memory computing and persistence have evolved.
Amazon EC2 provides a broad selection of instance types to deliver high performance for a diverse mix of applications. In this session, we overview the drivers of system performance and discuss in depth how Amazon EC2 instances deliver system performance while also providing elasticity and complete control over your infrastructure. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
CTX138217 - IntelliCache Reduction in IOPS: XenDesktop 5.6 FP1 on XenServer 6.1 - Citrix Knowledge Center http://ow.ly/o3Ma4
The purpose of this document is to provide testing results based on MCS-delivered streamed virtual desktops leveraging IntelliCache
Live migrating a container: pros, cons and gotchas -- Pavel EmelyanovOpenVZ
Live migrating a container: pros, cons and gotchas
Monday, November 16 • 17:20 - 18:05
Pavel Emelyanov
Principal Engineer, Odin
Principal engineer at Odin Server Virtualization team, creator and maintainer of the CRIU project. Joined Parallels in 2004 as junior Linux kernel developer, later became kernel team leader. Now works on architecture of the Odin Server products. | | Pavel tweets at @xemulp.
http://dockerconeu2015.sched.org/event/62e6d2ea7380442a48fafaeee26c9842
В своей презентации мы на примере дистрибутива Linux расскажем об опыте организации процесса тестирования продукта, существенная часть (более 90%) кода которого создается независимыми от компании разработчиками.
https://www.youtube.com/watch?v=AstgrnE7_dI
6. 6
Storage requirements
Key requirements for VM and Container’s needs:
• Strong consistency
• High performance
• Fault tolerance
• Fast recovery
• Address all space from any node
• Commodity hardware
• In-flight reconfiguration and update
7. 7
Parallels Cloud Storage solution
Key decisions made:
• Optimize for big files
• Union of all local storages
• Replication for fault tolerance
• Keep data and metadata separately
• Multiple metadata servers