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A00-205 Sas webaf server-side application development

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: 55 existent Questions

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SASInstitute SASInstitute Sas webaf server-side

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A00-205 exam Dumps Source : Sas webaf server-side application development

Test Code : A00-205
Test title : Sas webaf server-side application development
Vendor title : SASInstitute
: 55 existent Questions

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The material was generally organized and efficient. I could without much of a stretch bethink numerous answers and score a 97% marks after a 2-week readiness. Much thanks to you folks for decent arrangement materials and helping me in passing the A00-205 exam. As a working mother, I had constrained time to Make my-self accumulate ready for the exam A00-205. Thusly, I was searching for some exact materials and the killexams.com dumps aide was the prerogative decision.


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Uploading big Files in Windows Azure Blob Storage | killexams.com existent questions and Pass4sure dumps

In my terminal post I talked about Shared Access Signature feature of Windows Azure Storage. You can read that post here: http://gauravmantri.com/2013/02/13/revisiting-windows-azure-shared-access-signature/. In this post we’ll set that to some practical expend :) .

One thing I wanted to accomplish recently is the competence to upload very big files into Windows Azure Blob Storage from a web application. generic approach is to read the file through your web application using “File” HTML control and upload that entire file to some server side code which would then upload the file in blob storage. This approach would drudgery best for smaller files but would fail terribly when it comes to moderately to very big files as the file upload control would upload the entire file to the server (for bigger files, this would cause timeouts depending on your Internet connection) and then that file resides in the server recollection before any action can breathe taken on that file (again for bigger files, this would cause performance issues assuming you hold thousands of users uploading thousands of big files).

In this blog post, we’ll talk about how they can accomplish that using File API feature in HTML5.

Please breathe warned that I’m no JavaScript/HTML/CSS expert :) . About 4 – 5 years ago I used to attain a lot of JavaScript evolution and built some really insane applications using JavaScript (like mail merge kind of features, office automation, endemic device interfacing every bit of using JS) but that was then. For terminal 4 – 5 years, I hold been extensively doing desktop application development. So most of the JS code you’ll survey below is copied from various sites and StackOverflow :) .

Objectives

Following were some of the objectives I had in mind:

  • The interface should breathe web based (possibly absolute HTML).
  • I don’t hold to partake my storage account credentials with the quit users.
  • If possible, there should not breathe any server side code (ASP.Net/PHP etc.) i.e. it should breathe absolute HTML and the communication should breathe between user’s web browser and storage account.
  • If possible, the solution should upload the file in chunks so that bigger files can breathe uploaded without reading them in completely in a lone go.
  • Now let’s survey how they can meet their objectives.

    Solution

    Here’re some of the things I did to achieve the objectives listed above.

    Chunking File

    The first challenge I ran into is how to upload the file in chunks. every bit of the examples I saw were uploading an entire file however this is not what I wanted. Finally I ran into this example on HTML5 Rocks where they talked about the File API: http://www.html5rocks.com/en/tutorials/file/dndfiles/. Basically what caught my interest there is the “slicing” feature available in HTML 5’s File interface. In short, what this slice feature does is that it reads a portion of a file asynchronously and returns that data. This is exactly I was looking at. Once I organize that, I knew 75% of my drudgery was done! Everything else was a pushover :)

    Securing Storage Account Credentials

    Next thing on my list was securing storage account credentials and this was rather painless as I knew exactly what I had to attain – Shared Access Signature. SAS provided me with a secured URI using which users will breathe able to upload files in my storage account without me giving them access to storage account credentials. This was covered extensively in my post about the same: Revisiting Windows Azure Shared Access Signature.

    Direct Communication Between Client Application and Windows Azure Storage

    Next thing was to facilitate direct communication between the client application and storage. As they know Windows Azure Storage is built on relaxation so that means I can simply expend AJAX functionality to communicate with relaxation API. One vital thing to understand is that Windows Azure Storage quiet does not advocate Cross-Origin Resource Sharing (CORS) at the time of writing this blog. What that means is that your web application and blob storage must breathe in the very domain. The solution to this problem is to host your HTML application in a public blob container in the very storage account where you want your users to upload the files. I’ve been told that CORS advocate is coming soon in Windows Azure Storage and once that happens then you exigency not host this application in that storage account but till then you would exigency to live with this limitation.

    The Code

    Now let’s recognize at the code.

    HTML Interface

    Since I was trying to hack my pass through the code, I kept the interface rather simple. Here’s how my HTML code looks like:

    <body> <form> <div style="margin-left: 20px;"> <h1>File Uploader</h1> <p> <strong>SAS URI</strong>: <br/> <span class="input-control text"> <input type="text" id="sasUrl" style="width: 50%" value=""/> </span> </p> <p> <strong>File To Upload</strong>: <br/> <span class="input-control text"> <input type="file" id="file" name="file" style="width: 50%"/> </span> </p> <div id="output"> <strong>File Properties:</strong> <br/> <p> Name: <span id="fileName"></span> </p> <p> File Size: <span id="fileSize"></span> bytes. </p> <p> File Type: <span id="fileType"></span> </p> <p> <input type="button" value="Upload File" onclick="uploadFileInBlocks()"/> </p> <p> <strong>Progress</strong>: <span id="fileUploadProgress">0.00 %</span> </p> </div> </div> <div> </div> </form> </body>

    image

    All it has a textbox for a user to enter SAS URI and HTML File control. Once the user selects a file, I array the file properties and the “Upload” button to start uploading the file.

    Reading File Properties

    To array file properties, I made expend of “onchange” event of File element. The event gave me a list of files. Since I was uploading just one file, I picked up the first file from that list and got its title (blob would hold that name), size (blob’s size and determining chunk size) and sort (for setting blob’s content sort property).

    //Bind the change event. $("#file").bind('change', handleFileSelect); //Read the file and find out how many blocks they would exigency to split it. duty handleFileSelect(e) { var files = e.target.files; selectedFile = files[0]; $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); } Chunking

    In my application I made an assumption that I will split the file in chunks of 256 KB size. Once I organize the file’s size, I just organize out the total number of chunks.

    //Read the file and find out how many blocks they would exigency to split it. function handleFileSelect(e) { maxBlockSize = 256 * 1024; currentFilePointer = 0; totalBytesRemaining = 0; var files = e.target.files; selectedFile = files[0]; $("#output").show(); $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); var fileSize = selectedFile.size; if (fileSize < maxBlockSize) { maxBlockSize = fileSize; console.log("max cache size = " + maxBlockSize); } totalBytesRemaining = fileSize; if (fileSize % maxBlockSize == 0) { numberOfBlocks = fileSize / maxBlockSize; } else { numberOfBlocks = parseInt(fileSize / maxBlockSize, 10) + 1; } console.log("total blocks = " + numberOfBlocks); } Endpoint for File Uploading

    The SAS URI actually represented a URI for blob container. Since I had to create an endpoint for uploading file, I split the URI (path and query) and appended the file title to the path and then re-appended the query to the end.

    var baseUrl = $("#sasUrl").val(); var indexOfQueryStart = baseUrl.indexOf("?"); submitUri = baseUrl.substring(0, indexOfQueryStart) + '/' + selectedFile.name + baseUrl.substring(indexOfQueryStart); console.log(submitUri); Reading Chunk

    This is where File API’s chunk duty would approach in picture. What happens in the code is that when the user clicks the upload button, I read a chunk of that file asynchronously and accumulate a byte array. That byte array will breathe uploaded.

    var reader = original FileReader(); var fileContent = selectedFile.slice(currentFilePointer, currentFilePointer + maxBlockSize); reader.readAsArrayBuffer(fileContent); Uploading Chunk

    Since I wanted to implement uploading in chunk, as soon as a chunk is read from the file, I create a set cache request based on set cache relaxation API specification using jQuery’s AJAX duty and pass that chunk as data. Once this request is successfully completed, I read the next chunk and iterate the process till the time every bit of chunks are processed.

    reader.onloadend = duty (evt) { if (evt.target.readyState == FileReader.DONE) { // DONE == 2 var uri = submitUri + '&comp=block&blockid=' + blockIds[blockIds.length - 1]; var requestData = original Uint8Array(evt.target.result); $.ajax({ url: uri, type: "PUT", data: requestData, processData: false, beforeSend: function(xhr) { xhr.setRequestHeader('x-ms-blob-type', 'BlockBlob'); xhr.setRequestHeader('Content-Length', requestData.length); }, success: duty (data, status) { console.log(data); console.log(status); bytesUploaded += requestData.length; var percentComplete = ((parseFloat(bytesUploaded) / parseFloat(selectedFile.size)) * 100).toFixed(2); $("#fileUploadProgress").text(percentComplete + " %"); uploadFileInBlocks(); }, error: function(xhr, desc, err) { console.log(desc); console.log(err); } }); } }; Committing Blob

    Last step in this process is to confide the blob in blob storage. For this I create a set cache List request based on set cache List relaxation API specification and process that request again using jQuery’s AJAX duty and pass the cache list as data. This completed the process.

    function commitBlockList() { var uri = submitUri + '&comp=blocklist'; console.log(uri); var requestBody = '<?xml version="1.0" encoding="utf-8"?><BlockList>'; for (var i = 0; i < blockIds.length; i++) { requestBody += '<Latest>' + blockIds[i] + '</Latest>'; } requestBody += '</BlockList>'; console.log(requestBody); $.ajax({ url: uri, type: "PUT", data: requestBody, beforeSend: duty (xhr) { xhr.setRequestHeader('x-ms-blob-content-type', selectedFile.type); xhr.setRequestHeader('Content-Length', requestBody.length); }, success: duty (data, status) { console.log(data); console.log(status); }, error: duty (xhr, desc, err) { console.log(desc); console.log(err); } }); Complete Code

    Here’s the complete code. For CSS, I actually used Metro UI CSS – http://metroui.org.ua/. If you’re planning on edifice web applications and want to give them Windows 8 applications style recognize and feel, attain give it a try. It’s pretty awesome + it’s open source. Really no understanding for you to not give it a try!

    <!DOCTYPE html> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>File Uploader</title> <script src="js/jquery-1.7.1.js"></script> <link rel="stylesheet" href="css/modern.css"/> <script> var maxBlockSize = 256 * 1024;//Each file will breathe split in 256 KB. var numberOfBlocks = 1; var selectedFile = null; var currentFilePointer = 0; var totalBytesRemaining = 0; var blockIds = original Array(); var blockIdPrefix = "block-"; var submitUri = null; var bytesUploaded = 0; $(document).ready(function () { $("#output").hide(); $("#file").bind('change', handleFileSelect); if (window.File && window.FileReader && window.FileList && window.Blob) { // stately success! every bit of the File APIs are supported. } else { alert('The File APIs are not fully supported in this browser.'); } }); //Read the file and find out how many blocks they would exigency to split it. duty handleFileSelect(e) { maxBlockSize = 256 * 1024; currentFilePointer = 0; totalBytesRemaining = 0; var files = e.target.files; selectedFile = files[0]; $("#output").show(); $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); var fileSize = selectedFile.size; if (fileSize < maxBlockSize) { maxBlockSize = fileSize; console.log("max cache size = " + maxBlockSize); } totalBytesRemaining = fileSize; if (fileSize % maxBlockSize == 0) { numberOfBlocks = fileSize / maxBlockSize; } else { numberOfBlocks = parseInt(fileSize / maxBlockSize, 10) + 1; } console.log("total blocks = " + numberOfBlocks); var baseUrl = $("#sasUrl").val(); var indexOfQueryStart = baseUrl.indexOf("?"); submitUri = baseUrl.substring(0, indexOfQueryStart) + '/' + selectedFile.name + baseUrl.substring(indexOfQueryStart); console.log(submitUri); } var reader = original FileReader(); reader.onloadend = duty (evt) { if (evt.target.readyState == FileReader.DONE) { // DONE == 2 var uri = submitUri + '&comp=block&blockid=' + blockIds[blockIds.length - 1]; var requestData = original Uint8Array(evt.target.result); $.ajax({ url: uri, type: "PUT", data: requestData, processData: false, beforeSend: function(xhr) { xhr.setRequestHeader('x-ms-blob-type', 'BlockBlob'); xhr.setRequestHeader('Content-Length', requestData.length); }, success: duty (data, status) { console.log(data); console.log(status); bytesUploaded += requestData.length; var percentComplete = ((parseFloat(bytesUploaded) / parseFloat(selectedFile.size)) * 100).toFixed(2); $("#fileUploadProgress").text(percentComplete + " %"); uploadFileInBlocks(); }, error: function(xhr, desc, err) { console.log(desc); console.log(err); } }); } }; duty uploadFileInBlocks() { if (totalBytesRemaining > 0) { console.log("current file pointer = " + currentFilePointer + " bytes read = " + maxBlockSize); var fileContent = selectedFile.slice(currentFilePointer, currentFilePointer + maxBlockSize); var blockId = blockIdPrefix + pad(blockIds.length, 6); console.log("block id = " + blockId); blockIds.push(btoa(blockId)); reader.readAsArrayBuffer(fileContent); currentFilePointer += maxBlockSize; totalBytesRemaining -= maxBlockSize; if (totalBytesRemaining < maxBlockSize) { maxBlockSize = totalBytesRemaining; } } else { commitBlockList(); } } duty commitBlockList() { var uri = submitUri + '&comp=blocklist'; console.log(uri); var requestBody = '<?xml version="1.0" encoding="utf-8"?><BlockList>'; for (var i = 0; i < blockIds.length; i++) { requestBody += '<Latest>' + blockIds[i] + '</Latest>'; } requestBody += '</BlockList>'; console.log(requestBody); $.ajax({ url: uri, type: "PUT", data: requestBody, beforeSend: duty (xhr) { xhr.setRequestHeader('x-ms-blob-content-type', selectedFile.type); xhr.setRequestHeader('Content-Length', requestBody.length); }, success: duty (data, status) { console.log(data); console.log(status); }, error: duty (xhr, desc, err) { console.log(desc); console.log(err); } }); } duty pad(number, length) { var str = '' + number; while (str.length < length) { str = '0' + str; } revert str; } </script> </head> <body> <form> <div style="margin-left: 20px;"> <h1>File Uploader</h1> <p> <strong>SAS URI</strong>: <br/> <span class="input-control text"> <input type="text" id="sasUrl" style="width: 50%" value=""/> </span> </p> <p> <strong>File To Upload</strong>: <br/> <span class="input-control text"> <input type="file" id="file" name="file" style="width: 50%"/> </span> </p> <div id="output"> <strong>File Properties:</strong> <br/> <p> Name: <span id="fileName"></span> </p> <p> File Size: <span id="fileSize"></span> bytes. </p> <p> File Type: <span id="fileType"></span> </p> <p> <input type="button" value="Upload File" onclick="uploadFileInBlocks()"/> </p> <p> <strong>Progress</strong>: <span id="fileUploadProgress">0.00 %</span> </p> </div> </div> <div> </div> </form> </body> </html> Some Caveats

    This makes expend of HTML5 File API and while every bit of original browsers advocate that, very can’t breathe said about older browsers. If your users would breathe accessing an application affection this using older browsers, you would exigency to believe about alternative approaches. You could either Make expend of SWF File Uploader or could write an application using Silverlight. Steve Marx wrote a blog post about uploading files using Shared Access Signature and Silverlight which you can read here: http://blog.smarx.com/posts/uploading-windows-azure-blobs-from-silverlight-part-1-shared-access-signatures.

    I organize the code working in IE 10, Google Chrome (version 24.0.1312.57 m) on my Windows 8 machine. I got error when I tried to prod the code in FireFox (version 18.0.2) and Safari (version 5.1.7) browsers so obviously one would exigency to preserve the browser incompatibility in mind.

    Enhancements

    I hacked this code in about 4 hours or so and obviously my learning is rather limited when it comes to JavaScript and CSS so a lot can breathe improved on that front :) . However some other features I could believe of are:

    Generate SAS on demand: You could possibly hold a server side component which would generate SAS URI on claim instead of having a user enter that manually.

    Multiple file uploads: This application can certainly breathe extended to upload multiple files. A user would select multiple files (or may breathe even a folder) and hold the application upload multiple files.

    Drag/drop support: This application can certainly breathe extended to advocate drag/drop scenario where users could drag files from their desktop and drop them to upload.

    Do upload in Web Worker: This is another improvement that can breathe done where uploads are done through web worker capability in HTML5.

    Parallel uploads: Currently the code uploads one chunk at a time. A modification could breathe to upload multiple chunks simultaneously.

    Transient error handling: Since Windows Azure Storage is a remote shared resource, you may encounter transient errors. You could modify the application to maneuver these transient errors. For more details on transient errors, gratify survey this blog post of mine: http://gauravmantri.com/2013/01/11/some-best-practices-for-building-windows-azure-cloud-applications/.

    Summary

    So that’s it for this post! As you saw, it is quite effortless to implement a very simple HTML/JS based application for getting data into Windows Azure Blob Storage. Obviously there’re some limitations and there’s cross-browser compatibility issues one would exigency to account but once those are sorted out, it opens up a lot of exciting opportunities. I hope you’ve organize this post useful. As always, if you find any issues with the post gratify let me know and I’ll fix it ASAP.

    Happy Coding!


    How to select the Best gleam Array: An SSD Buying lead | killexams.com existent questions and Pass4sure dumps

    Download the authoritative guide: Enterprise Data Storage 2018: Optimizing Your Storage Infrastructure

    Here are two key facts to know before buying enterprise gleam storage: First, there is a lot of energy around buying more gleam for the corporate data center. Second, as of 2018 only 10% of corporate data centers own an all-flash array.

    This matters because it is vital not to accumulate ahead of ourselves in the buying decision. gleam in hybrid arrays has a higher install rate, gleam is making inroads into the data center, and gleam adoption rates are rising. At the very time, this is nowhere near a done deal for all-flash data centers.

    There is a huge installed user foundation of profitable primitive fashioned arduous drives, and tape for that matter. This is not a simple matter of waiting until the primitive media lifecycles prod out and refreshing with flash. gleam evolution is proceeding very quickly, but for now at least there are cheaper and better media for storing nearline and long-term data. prerogative now, nothing beats cheap high-capacity disk or tape for nonchalant storage.

    Although gleam may drudgery well for lively archives (truly active, not just title only) its 3 to 5-year durability window does not Make it a trustworthy media for storing long-term data.

    Why Companies Buy Flash

    A key driver of gleam investment – and where you will survey evolution and purchases rising rapidly – is gleam for towering production performance. This includes mission-critical transactional databases, analytics and high-performance computing workloads, virtual desktop infrastructure (VDI) and streaming assets for the broadcasting and medical industries

    https://o1.qnsr.com/log/p.gif?;n=203;c=204650394;s=9477;x=7936;f=201801171506010;u=j;z=TIMESTAMP;a=20392931;e=i

    So, when they discuss enterprise gleam storage they are not talking about the mythical Phoenix of the all-flash data center. They are talking about three things:

    1. All-flash arrays for towering performance data processing on the shared storage side. These arrays tier from highest performance gleam to higher capacity SSDs in the very array. Over time IT should tier the data off the AFA to less expensive media. When they were first introduced a few years ago, FA products tended to breathe retrofitted hybrid arrays or purpose-built models that lacked the age data intelligence tools of HDD and hybrid arrays. Over the years AFAs hold significantly improved their endemic data intelligence including compression and D dedupe, endemic encryption, thin provisioning, and sophisticated management tools.

    2. A subset of AFAs are called gleam appliances. They are all-flash storage systems, but unlike mainstream AFAs they hold only basic storage intelligence. For example, most data center AFAs approach with endemic dedupe, compression, snapshots, replication thin provisioning, and more.   The gleam appliance only has basic storage management features in order to consume a minimal amount of processor overhead. They are strictly for boosting performance with towering IOPs, low latency and snappily throughput. This allows data center admins to gain very snappily performance at a lower cost, since the array is engineered for speed and users attain not pay for sophisticated management on top of snappily flash.

    3. Server-side gleam for the highest possible performance and latency requirements. Server-side gleam is essentially direct attached storage on steroids. It is not the optimal selection for many types of data, but it is for extremely high-performing applications.

    Server-based PCIe Cards

    Flash Appliances

    All-Flash Arrays

    Accelerates lone application server.

    Example: Oracle Financials database.

    Accelerates multi-host application.

    Example: Docker environment.

    High performance storage array.

    Example: NAND and SATA gleam tiers combine performance and capacity.

    Persistent storage or cache for towering performance server application.

    Single-digit TB capacity lower than AFA or gleam appliance.

    Data protection requires mirroring datasets, which significantly raises prices.

    Combines snappily performance and towering capacity in the 10s of TBs.

    Simple feature set requires 3rd party functionality for data protection and towering availability features.

    High performance networked storage with quick-witted data services.

    Efficiently processes mixed workloads.

    Dedupe and compression optimizes capacity.

    Choosing Among Types of Enterprise Flash

    Different Types of Enterprise Flash

    With that in mind, let’s talk about common types of flash, AFAs and server-side flash. We'll likewise recognize at expend case for each.

    NAND Flash

    NAND is nonvolatile storage that does not require power to retain data. The most widely used sort of gleam in the world, it is installed in both in consumer devices and enterprise SSDs. NAND comes in many different flavors and evolution is largely driven by increasing density. lone flat cell (SLC) was the start and referred to one bit per cell. Greater density followed with multi-level cell and three-level cell architecture.

    Today, developments embrace 3D upright NAND, or V-NAND gleam chips. By stacking cells in upright layers, the NAND increases SSD performance and durability with less energy requirements. NAND is the primary gleam sort for all-flash arrays, although not the only one. NAND AFA primary usage cases are towering performance storage systems and tiered AFAs that replace slower flash/HDD hybrids.

    SAS and SATA SSDs

    SAS and SATA are the very connection protocols they every bit of know and supervision for from their HDD days. SATA SSDs are generally slower than SAS SSDs and are used for towering capacity storage systems that exigency a boost in performance over HDD towering capacity systems. gleam SATA can breathe manufactured in a DIMM figure factor and fitting into likewise into a DDR3 DIMM slot as a server boot device and cache.

    SAS SSDs are considerably more expensive than SATA SSDs but deliver higher performance and more functionality. SAS SSDs expend the SCSI interface and dual port architectures. IT often uses gleam SAS to map snappily drives to different controllers for multi-path I/O and controller failover. They likewise hold more endemic management tools and usually approach with dual ports, which lets IT map each drive to two divide controllers for the fail-over and multi-path IO that are often required in enterprise storage.

    PCI Express (PCIe)

    PCIe is server-side gleam that can act as a towering performance SSD or server cache. When IT connects a high-performance SSD drive to the PCIe interface, data transfer rates can achieve 252Gb/s and IOPs of 1 million-plus.

    PCIe lowers resource overhead and the requirement for HBAs and drive controller components. PCIe is specific to the server (i.e. Direct Attached Storage) so trades off DAS disadvantages for towering performance features. celebrated expend cases embrace mission-critical transactional databases.

    Non-Volatile recollection Express (NVMe)

    NVMe is a gleam spec that enables SSDs to expend the PCIe bus to improve performance and lower energy usage. The specification operates in between random-access recollection (RAM) and SSDs. The operating system can access it as a storage device, or as recollection if the card resides in recollection slots.

    NVMe drivers combined with the PCIe interface results in very low latency under weighty and mixed read/write workloads. This is an especially helpful architecture for massively scaled databases whose performance improves with server-side flash.

    Flash Purchase determination Points

    The major determination points for gleam purchases embrace both technology and industry features.

    Technology: On the technology side, the foundational gleam sort will Make a difference. Even market-leader NAND presents choices between SLC, MLC, EMLC, TLC and more. Device interconnects affection PCIe, NVMe, SAS gleam and SATA gleam are likewise vital to equilibrium performance, capacity and location in the data path.

    Use Case: Ironically, the terminal concern for some IT buyers should breathe the first: the expend case. VDIs, enterprise data center, streaming web servers, towering performance monetized archives: they remove different gleam decisions.

    Costs and ROI: Costs will likewise influence your choice. gleam prices are dropping but HDDs are significantly less expensive. As storage pros know, HDDs are not as snappily as flash, but effect quite well and, for a lower cost, provide more than adaquate value.

    Warranties and maintenance: It's vital to account your vendors’ warranties and maintenance pricing. gleam energy costs are lower than HDDs, which offsets some of gleam devices’ higher purchase price. But if your vendor offers a 2-year warranty instead of 5-year or gives you a low introductory maintenance expense then jacks it up in years 2-5, you’re looking at an expensive proposition.

    flash buying guide

    Before You Buy, account These Factors

    No matter what your expend case for flash, there are 9 captious factors to weigh when you are researching your gleam purchase: capacity, performance, availability, durability, scalability, support, management, simplicity and connectivity. Not every gleam environment will require top features but know what you are buying and what tradeoffs you are willing to make.

    1.  Capacity. Understand raw capacity, usable capacity and tolerable data reduction ratios with dedupe and compression. Tell the vendor the types of workloads you are likely to expend with flash, since different workloads dedupe with very different ratios.

    2.  Performance. Performance entails three measurement: IOPs, throughput and latency. As with dedupe ratios, your performance numbers will vary across different workloads. IOPs are the number of cache operations per second, latency is how snappily the data transfer begins, and throughput is the measure of how snappily each cache is processed.

    3.  Availability. 99.999% is the most common enterprise measurement. Asked to survey circumstantial tests and background, and how their gleam architecture achieves this flat of availability.

    4.  Durability. Specifically question what durability features the SSDs approach with. It should certainly arrive with garbage collection, packet striping, wear leveling and error code correction. If it does not, then you probably bought a cheap SSD but will hold to spend more money on third-party products to protect them.

    5.  Scalability. No fewer buying scale up or scale out. With the former, CO far you can scale capacity without hitting performance barriers. If the latter, find out how expensive it is to add SSDs for linear performance and capacity scaling.

    6.  Support. question where the advocate is located, and if engineers can succor or just read from a script. likewise question how much advocate is built into the AFA. question about endemic monitoring services that ship alerts about performance impacts, failing SSDs and reaching capacity thresholds. likewise proceed over maintenance contracts with the proverbial fine-comb. You attain not want to grab onto a lowball expense quote for one to two years, only to watch your operational budget double or triple thanks to advocate costs.

    7.  Management. Determine that your AFA comes with endemic intelligence affection replication and snapshots, monitoring and alerts, circumstantial reports, self-healing, application and platform integration, de-dupe and compression and caching and tiering.

    8.  Simplicity. Don’t trade weighty IT overhead for performance gains. Watch for automated management functions including simple firmware upgrades, tart replacements, policy-based management and linear scalability.

    9.  Connectivity. Connectivity should serve you now and in the future. recognize for multi-protocol connections and OS support. account both iSCSI and FC connections. Check that for high-speed network connections.

    For more questions and answers about gleam purchases, survey 12 Questions to question All-Flash Vendors.

    Next Steps in the gleam Buying Decision

    Will the all-flash data center dream approach true? It depends on how you define the data center. If the center is production data only, then all-flash is honest game. If you are retaining backup and archives, then all-flash is a needy pass to go.

    But you don’t hold to hold out for an all-flash data center to invest in all-flash arrays and server-side flash. affection any other IT investment, buy for the usage case. And shop carefully!


    Choose the prerogative sort of server-side gleam | killexams.com existent questions and Pass4sure dumps

    Putting gleam into an application server to improve performance is a fairly straightforward decision, but choosing which gleam sort to deploy can breathe more involved. There are currently three main figure factors of gleam storage devices, each of which has its advantages. In this tip, we'll recognize at drive form-factor SSDs, PCIe cards, gleam that's implemented on the recollection bus, and to which expend cases each is best suited.

    Drive form-factor SSD s

    These SAS and SATA drives were the original gleam storage devices, after the USB recollection stick. Sharing the very figure factor, the first implementation of gleam was as a replacement to arduous drives, both in servers and in storage arrays. Today, they're available in capacities that ambit from a few hundred gigabytes to a TB or more, although 800 GB currently seems to breathe the amount in a high-capacity enterprise SSD.

    SATA SSDs are probably the easiest sort of gleam to implement, since they simply plug into the existing disk-drive bays. Their other primary odds is their low cost per gigabyte. expend cases embrace boot drives for servers and computers, and an easy-to-implement single-server caching or tiering solution, as long as there are SATA drive slots available in the server.

    PCIe gleam cards

    Putting gleam chips onto a PCIe card has become a celebrated high-performance SSD solution because it leverages the speed advantages of the PCIe bus over the SAS-SATA interface. Card sizes are both half-length and full-length, with a wide ambit of capacities, from a few hundred gigabytes up to several TBs. With this existent estate, manufacturers can set multiple processors on these cards and actually allow users to subdivide them for multiple workloads or team them for a parallel processing configuration.

    PCIe cards can likewise advocate caching software, as well as more sophisticated gleam controllers for improved performance, efficiency and better integration with specific software applications. every bit of this leads up to an ideal platform for towering performance or towering capacity.

    On the downside, PCIe gleam typically requires a driver because it's not based on gauge storage protocols, affection SAS and SATA. This makes implementation and drive replacement more complex, compared with SATA drives than can breathe hot-swapped in many expend cases. They likewise exigency a PCIe slot, something that may not breathe available in a low-profile server. They are likewise more expensive than SATA SSDs.

    Memory bus flash

    The terminal of the three primary enterprise server-side solid-state storage types is a gleam card that plugs into Dual Inline recollection Module (DIMM) slots. The first product, introduced by Viking Technologies several years ago, uses the DDR3 slot for power but doesn't connect via the recollection bus. Instead, it uses a cable to connect to an available SATA header on the motherboard. The most common expend case for this product is as a boot drive, but it's likewise being used in applications where more gleam capacity is needed but PCIe or SATA drive slots are unavailable.

    The newest DIMM-based gleam technology does expend the recollection bus, offering the lowest-possible latency of every bit of gleam types. A host-level driver and an on-board ASIC enable the CPU to creep data to and from the recollection space and manage flash-specific tasks, such as garbage collection, write coalescing, etc.

    The technology is referred to as recollection Channel Storage by its manufacturer SanDisk, which partnered with Diablo Technologies on its development. recollection channel storage allows gleam to breathe used as system memory. Since gleam is much less expensive than dynamic RAM (DRAM) and many servers hold multiple vacant DDR3 recollection slots, this technology has the potential to expand server recollection into the TBs, enabling much larger in-memory database applications.

    A different driver is likewise available to Make recollection channel gleam recognize affection another storage area for expend by caching or tiering software. This is the very expend case as the SATA-connected gleam DIMM mentioned above and the pass PCIe or SAS and SATA SSDs are used as well. A stately capitalize of using DDR3 slots is to enable gleam expansion in servers that hold no additional SATA or PCIe slots available or to provide a boot drive that doesn't consume a drive slot. Capacities for currently available DIMM-based gleam products proceed as towering as 480 GB per module.

    Server-side gleam products are now being used in a wide ambit of applications, from boot drives to system recollection expansion. With three figure factors and three connection types, users hold multiple ways to Make gleam fitting their individual system constraints and application demands. Whether they exigency low latency; low cost; simple implementation; or advanced functions affection on-board caching, tiering and application awareness, there are gleam products available to meet most performance requirements. To summarize, the following is a list of the advantages of each of the primary types of server-side flash:

  • SAS and SATA drive form-factor SSDs. Simplest to implement, lowest cost per gigabyte
  • PCIe gleam cards. Higher-performing than SAS and SATA SSDs, highest potential gleam capacity, able to advocate on-board CPUs and software for more sophisticated expend cases
  • Memory bus flash. Highest performing gleam type, has potential to augment server memory
  • SATA DIMM flash. Performance similar to that of  SATA SSDs, but provides gleam capacity or boot drive when no drive slots are available


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