Disk Sensei is the world’s first software of its kind. With a strong focus on clean design and easy-to-use features, it is an advanced disk performance tool that you don’t have to be a computer professional to understand. Disk Sensei provides features to: Monitor drive usage and statistics; Analyze and explain drive health. Oct 20, 2017 Meet Disk Sensei, the most advanced disk performance tool for Mac. We have created a Swiss-Army knife for your Mac, with powerful features to monitor, maintain, and enhance storage performance and utilization. Disk Sensei is the world’s first software of its kind. Disk Sensei is a tool that helps you enhance your Mac performance and clean your system safely and efficiently. You may want to check out more Mac applications, such as Disk Doctors Photo Recovery, Disk Toolkit or Disk Manager - Browse disks offline, which might be related to Disk Sensei.
- Disk Sensei 1 5 1 – Advanced Disk Performance Tool Set
- Disk Sensei 1 5 1 – Advanced Disk Performance Tool Software
- Disk Sensei 1 5 1 – Advanced Disk Performance Tool Reviews
- Disk Sensei 1 5 1 – Advanced Disk Performance Tool Repair
Aug 12, 2016 Meet Disk Sensei, the most advanced disk performance tool for Mac. We have created a Swiss-Army knife for your Mac, with powerful features to monitor, maintain, and enhance storage performance and utilization. Disk Sensei is the world's first software of its kind. With a strong focus on clean design.
Summary
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HCIBench stands for 'Hyper-converged Infrastructure Benchmark'. It's essentially an automation wrapper around the popular and proven open source benchmark tools: Vdbench and Fio that make it easier to automate testing across a HCI cluster. HCIBench aims to simplify and accelerate customer POC performance testing in a consistent and controlled way. The tool fully automates the end-to-end process of deploying test VMs, coordinating workload runs, aggregating test results, performance analysis and collecting necessary data for troubleshooting purposes.
HCIBench is not only a benchmark tool designed for vSAN, but also could be used to evaluate the performance of all kinds of Hyper-Converged Infrastructure Storage in vSphere environment.
- Web Browser:
IE8+, Firefox or Chrome - vSphere 5.5 and later environments for both HCIBench and its client VMs deployment
Version 2.5.1 Update
- Fixed non vSAN cluster testing issue
- Fixed pre-validation storage policy issue
- Added in-place upgrading capability, to do so, you can also upgrade HCIBench to the latest version by running the following command in HCIBench: tdnf install -y git && git clone https://github.com/cwei44/HCIBench.git && sh HCIBench/upgrade.sh
MD5 Checksum: 1d14426f92b353e90469a8623ade2bc1 HCIBench_2.5.1.ova
Version 2.5.0 Update
- Added support vSAN HCI Mesh testing, now you can test both local and remote vSAN datastores at the same time
- Added support local storage including VMFS and vSAN-Direct testing
- Added vSAN Debug Mode, allow user to collect vm-support bundle and vmkstats automatically when running testing against vSAN
- Changed guest VMs name convention to {vm_prefix}-{datastore_id}-batch_num-sequence_num
- Enhanced testing report format
- Allow user to specify customized IP addresses for guest VMs
- Allow user to configure CPU and Memory for guest VMs
- Added best practice and network troubleshooting guide in the user manual
- Bug fixes
- MD5 Checksum: 817c2c788364f252e728d4253b3b96da HCIBench_2.5.0.ova
Version 2.4.0 Update
- Fixed tvm deployment bug when specifying host
- enabled easy run to support stretched cluster
- fixed timezone issue on pdf report, and added more vSAN info into PDF report
- set testname and testcase as variables in grafana
- added CPU workload into fio config page
- updated rbvmomi to support vsphere 7.0+
- enhanced fio and vdbench graphite dashboards
MD5 Checksum: 0cfd6cc852e33e5ce32022a66539b4c9 HCIBench_2.4.0.ova
Version 2.3.1 Update
- Fixed static IP setting issue
- Fixed reuse VMs on multi datastores issue
- Fixed vm/tvm deployment issue
- MD5 Checksum: 1b220f22575eacf62a965992a4c916e7 HCIBench_2.3.1.ova
Version 2.3.0 Update
- Upgraded to Photon 3
- Integrated vSAN performance monitoring
- Tuned disk preparation
- Added HCIBench test report
- Added DNS exception handler
- Upgraded fio to 3.16
- Bug fixes
- MD5 checksum: b43c29e146b8a7efa08028e7d6699a6e
- If you need to automate HCIBench, please look at:
https://code.vmware.com/samples?id=6502 for python2.7
https://code.vmware.com/samples?id=6588 for python3
Version 2.2.1 Update
- Fixed docker volume moving issue
- MD5 checksum of HCIBench_2.2.1.ova: 1a39c9df7d1485bc06332ae0b9d92ca7
Version 2.2 Update
- Moved docker volume to sdb to avoid blowing up OS disk
- Added Fio spreadsheet generator
- Added DRS warning checkup
- Enhanced Grafana to keep all the historical data
- Added DNS exception handler
- Fixed RAM and PCPU reporting issue
- Fixed Vdbench spreadsheet not reporting issue
- MD5 checksum of HCIBench_2.2.ova: bb2a77dcf2ecc23b1ec2c30aee9945ec
Version 2.1 Update
- Switched UI to dark theme
- Redesigned VMDK preparation methodology, which can complete much faster using RANDOM on deduped storage
- Added VMDK preparation process update
- Added Graphite port check into prevalidation
- Added vCenter/Host password obfuscation
- Added 'Delete Guest VM' button
- Fixed Grafana display issue
- Fixed FIO blank results issue
- Bug fixes
- MD5 checksum of HCIBench_2.1.ova: d37e6f164ed962a6e7ccbe104ba9eaec
Version 2.0 Update
- Added fio as an alternative workload generator
- Added Grafana for workload live monitoring
- Switched UI to clarity
- Allow user to select one to four cases while using easy-run
- Bug fixes
- MD5 checksum of HCIBench_2.0.ova: ba3c2b06b8c27fb41a1bb68baedb325f
Version 1.6.8.7 Update
- Enhanced easy-run, put original 4k,70% read as the first test case, then 4k, 100% read and 256k, 100% write
- Enhanced tvm deployment validation
- Added Checksum into easy-run consideration
- Updated guest VM template with increased ring_pages and disk scheduler
- Added DNS configuration guidance into welcome message
Version 1.6.8.5 Update
- Added 2 more test cases into easy-run, 4k 100% random read and 256k 100% sequential write
- Batch deployment will be involved if deploying more than 8 VMs to speed up deployment process
- Allow user to choose IP prefix when using static IP
- Optimized UI to allow user to review the results by single click
- Fixed regression issue when placing Datacenter/Cluster in the folder
Version 1.6.8.1 Update
- Fixed regression when datastore is in the datastore folder
- Avoid checking connection to host directly and use tvm deployment instead
- Added Vdbench version check in summary script
Version 1.6.8 Update
- Added resource pool and VM folder fields for VMC environment
- Fixed easy-run disk size issue
- Enhanced pre-validation error message handling
- Changed the names of network interface from 'Public Network' to 'Management Network', and 'Private Network' to 'VM Network'
Version 1.6.7.2 Update
- Enhanced write/read buffer/cache methodology
- Fixed network ip-prefix selection issue
- Fixed 95% percentile calculation issue
Version 1.6.7.1 Update
- Fixed vSAN Performance Diagnostic API call
- Fixed network validation message not clear issue
- Fixed setting re-use VMs as default bug in 1.6.7
Version 1.6.7 Update
- Enabled https instead of http
- Added storage policy field, user can specify storage policy for the data disks. For this version, storage policy can't be assigned to existing client VMs
- Enhanced deployment methodology
- Enhanced vSAN Observer to avoid blow up the memory
- Enhanced vSAN Performance Diagnostic API call with HCIBench workload configuration included
- Added timestamp to the testing status
- Bug fixes
Version 1.6.6. Update
- Spectre & Meldown patch on both HCIBench VM and Client VM
- Added client VM prefix field, allow running multiple HCIBench instances against single cluster
- Attach testing log along with testing results
- Enabled live vSAN Observer when running testing, using https://HCIBench_IP:8010
- Updated the drop read/write cache script
- Added more message info during the testing
- Bug fixes
Version 1.6.5.2 Update
- Added case comparisons by generating an XLS file for each test folder
- Fixed bug when there's white space in datastore name or test name
Version 1.6.5.1 Update
- Enhanced IP segment selection
- Set open file limit to 4096
- Updated vm-tools to the latest version
- Bug fixes
Version 1.6.5 Update
- Enhanced 95th percentile calculation.
- Added Curve and Multi Run calculation.
- Added SSH Service validation.
- Replaced DHCP Service with Static IP Service.
- Added IP conflict check.
- Fixed bunch of bugs.
- Change the default client VM RAM from 4GB to 8GB
Version Version 1.6.3 Update
- Enhanced vSANPerformanceDiagnose function call
- Enhanced port 443 validation
- Enhanced results calculation
- Added host maintenance mode validation
- Added deployment validation
Version 1.6.2 Update
- Integrated with vSAN Performance Diagnostic of vSphere_6.5U1/vSAN_6.6.1.
- Added DHCP Service validation.
- Added Vdbench workload profile validation.
- Removed the root password expiration policy.
- Changed results display to show full file names.
- Changed easy-run calculation from host basis to disk-group basis.
Version 1.6.1 Update
- Added network name uniqueness check
- Changed the 'disk warmup' to 'Virtual disk preparation' to avoid confusion
- Changed the pvscsi configuration, when there are more than 4 vmdks per pvscsi, more pvscsi controllers will be added and the vmdks will be evenly distributed
- Bug fixes
Version 1.6.0.0 Update
Disk Sensei 1 5 1 – Advanced Disk Performance Tool Set
- Added Clear read/write cache option for vSAN.
- Added Easy Run feature for vSAN, Easy Run can help vSAN user to determine the VMs/VMDKs/size/Disk_Init_Methods and run testing automatically.
- Added Re-use VMs feature, user is able to re-use the existing client VMs for more tests.
- Added the 95th percentile of calculation into the results.
- Had special characters issue resolved and got other bug fixes.
Version 1.5.0.5 Update
- Increased Timeout value of client VM disk from 30 seconds to 180 seconds.
- Disabled client VM password expiration.
- Disabled client VM OS disk fsck.
- Set Observer interval to 60 seconds to shrink the size of observer data.
- Fixed PCPU calculation.
- Created link directory of /opt/automation/logs, user will be able to review the testing logs in http://HCIBENCH/hcibench_logs/
- Increased the RAM of HCIBench from 4GB to 8GB to avoid running out-of-resource issue.
Version 1.5.0.4 Update
- Added the checking if user saved the configuration
- Increased the stack size to 65536 due to 'ls too many arguments issue while process PCPU usage'
- Fixed the typo from 'Netowrk' -> 'Network' in the deployment page.
- Added vCenter hostname resolve checking.
- Fixed the client VM OS VMDK size from 15.5GB to 16GB; changed the vmdk size specification from decimal format to binary format.
Version 1.5.0.3 Update
- The bug 'When tested against a non-vSAN datastore and having 'Directly Deploy on Hosts' checked, the test won't go through after deployment.' is fixed.
- Enhancement: extract storage policy information when doing pre-validation and checks if the deployment size would be too aggressive to vSAN.
Version 1.5.0.2 Update
- Bug 'test would fail if datastores' name contains white space' fixed.
Due to the nature of deep packet analysis and detailed drill-down reporting functionality, Sensei requires more hardware resources than a standard L3-L4 firewall.
With the Sensei 1.5 release, you can offload your reporting database to an external system. This allows you to be able to run Sensei on systems with a constrained amount of RAM.
It is recommended that you check if your Ethernet adapter functions well with netmap.
CPU & Memory¶
Because the analytics module relies on Elasticsearch to process large amounts of data, the amount of the memory available in the system is crucial for the overall performance of Sensei.
Tip
If the number of active devices are more than 250 and the sustained WAN bandwidth is higher than 100 Mbps, we do not recommend deploying Sensei as a virtual guest since resources in virtual environments are generally shared between guest systems.
Below is the recommended minimum hardware requirements for Sensei based on the number of devices and the amount of sustained bandwidth:
# Active Devices | Maximum WAN Bandwidth | Minimum Memory | Minimum CPU |
0-25 | 50 Mbps | 4 GB | A Dual-Core CPU (x86_64 compatible, single core PassMark score of 200) |
25-50 | 150 Mbps - 10 Kpps | 4 GB | Intel Dual-Core i5 2.0 GHz (2 Cores, 4 Threads) or equivalent |
50-100 | 200 Mbps - 20 Kpps | 8 GB | Intel Dual-Core i5 2.2 GHz (2 Cores, 4 Threads) or equivalent |
100-250 | 300 Mbps - 40 Kpps | 16 GB Mail pilot 3 0 – task oriented email client email. | Intel Dual-Core i5 3.2 GHz (2 Cores, 4 Threads) or equivalent |
250-1000 | 500 Mbps - 100 Kpps | 32 GB | Intel Quad-Core i7 3.4 GHz (4 Cores, 8 Threads) or equivalent |
Note
Sensei requires at least 2 GB of memory. The installer will not continue if you have less than 2 GB of RAM. We recommend 4 GB memory to have an improved experience.
Disk Sensei 1 5 1 – Advanced Disk Performance Tool Software
Ethernet Adapter¶
Sensei uses a FreeBSD subsystem called netmap(4) to access raw Ethernet frames. With FreeBSD 11 (OPNsense version <= 20.1) this software can be very particular in terms of proper driver compatibility.
Intel based adapters, particularly em(4) and igb(4), are observed to perform well in terms of stability and performance.
Disk Sensei 1 5 1 – Advanced Disk Performance Tool Reviews
Sunny Valley Networks is sponsoring developments on this project so you can expect netmap(4) will better support a wide range of Ethernet drivers.
Disk Sensei 1 5 1 – Advanced Disk Performance Tool Repair
Disk Space¶
Sensei uses Elasticsearch or MongoDB as its backend to store large data sets. Please allow at least 5 MB of disk space per hour per megabit/second throughput.
4k video downloader 4 4 10 download free. If you’re running a 100 Mbps link (about 100 users) which is quite active during the daytime and idle rest of the day, you may calculate the space needed as follows:
As of version 0.7.0, Sensei expires old report data to free up disk space for the most recent data based on the configured number of days of history to keep.