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The notion of using a bigger server so that you can skimp on client side hardware isnt new.Thats all a file server is a computer running a big, fast hard disk so that you dont have to buy big, fast hard disks for everyone in the office.RDS servers are designed on a similar principle if most of the processing takes place in a single location, you can concentrate the hardware resources needed to support that processing in a single location and worry less about power on the client end.Use a Powerful RD Session Host Server.Since an RD Session Host server will be serving applications or full desktops to clients, youll need to purchase or build a powerful server.Processing power and RAM are the most important resources.Depending on the types and number sessions youre supporting, you may also want to consider boosting disk access and network bandwidth.On the surface, calculating the needs seems straightforward.Just follow these steps Calculate the resources needed for the operating system.Calculate the resources needed for a small number of sessions such as five.Multiply the resources needed for your sessions based on the total number of sessions you plan to support.If you planned to support 1.Add the total session resources needed for sessions to the resources needed for the operating system.Although this seems like simple math, it never seems to work out that way.Synergy is often hard to predict.Synergy where the whole is greater than the sum of its parts often results in something unexpected.Additionally, if the deployment is successful and users are happy with what they can do, they may end up using it much more than you anticipated.You dont need to tell this to the budget people, but its best to add a buffer for the unknowns and to plan for expansion.Additionally, you should do some independent research on Remote Desktop Services, starting with Microsoft.Core Hardware Resources.For the purposes of running an efficient RD Session Host server, the bare minimum required to run Server 2.R2 wont cut it. Although there are no hard and fast specifications for an RDS server, some general guidelines for server sizing follow Processor Faster is better to a point.More important than a fast processor is one with enough cache so that it doesnt have to reach out to the slower system memory for code and data.Faced with a choice between more cache and more speed, go with more cache.Most RDS servers these days have multiple processors, and these processors have multiple cores.Although only multithreaded applications will actually use more than one processor at a time, if there are multiple processors, then threads needing execution can line up at both.Memory RDS servers tend to be memory bound, not processor bound.Get high speed, error correcting memory get plenty of it and be prepared to add more as you add more users or applications to the RDS server.The amount of memory youll need depends on the applications that people use, the number of concurrent sessions, and the memory demands of the files opened in those sessions computer aided design CAD programs will stress the system more than, say, Notepad.Thankfully, the 6.GB limit. Start your calculations with at least 8.GB of RAM for the server, and start adding based on the of number of users and memory required by the applications theyll run on the server. Vso Convert X To Dvd V5 0 0 74 Final more. Windows Server 2.R2 will support up to 2.TB of RAM. Disk Consider Serial Computer System Interface SCSI disks on an RDS server if at all possible.A SCSI disk controller can multitask among all the devices in the SCSI chain.Most people believe that SCSI performs much better both Serial Advanced Technology Attachment SATA and Enhanced Integrated Drive Electronics EIDE disks, though some people are starting to find that high end SATA solutions perform better than low end SCSI solutions.Disk performance is an important capability in any server, especially so in an RDS server.Additionally, consider a Redundant Array of Inexpensive Disks RAID solution to increase the performance andor fault tolerance of the drives.For a high end RDS server, a RAID 10 solution provides both performance gains and redundancy.Network On a busy RDS server, consider load balancing high speed network cards, which can assign multiple NICs to the same IP address and thus split the load of network traffic.Another alternative is a multihomed server with one NIC dedicated to RDS session traffic.As far as network speed goes, sending application output and client side input back and forth requires little bandwidth, but client print jobs sent to mapped printers can take quite a bit of bandwidth.Mapped drives may also increase the load by making it possible to copy files back and forth across the RDP connection.Using the Performance Monitor.The Performance Monitor discussed in Chapter 1.RDS sessions are stressing the server.Server load should scale closely with the number of people using the server therefore, as long as you pick a representative group of about five people, you should be able to extrapolate your needs for larger groups.The key objects and counters for measuring general server stress introduced in that chapter will help you size your RDS servers.But a couple of Performance Monitor objects are worth examining to give you detailed information for your RDS server.Performance Monitor Objects Still Called Terminal Services.Although the name of Terminal Services has changed to Remote Desktop Services in Windows Server 2.R2, its still called Terminal Services in Performance Monitor.It might look like a typo, but the two objects are called Terminal Services and Terminal Services Session.First, the Terminal Services object has counters representing the number of active sessions sessions where the user has connected to the RD Session Host server and successfully logged on, inactive sessions where the user is still logged onto the RDS server but has stopped using the session, and the total combined.Besides simply monitoring activity, you could use this to alert you when the number of active session reaches a certain threshold.Say you wanted to know when a server hosts more than 1.You could do this with a data collector set.Chapter 1. 7 discussed data collector sets in more depth, but its possible to set up a simple user defined data collector set with an alert.This is done by creating the user defined data collector set manually not with a template, selecting Performance Counter Alert, and then setting the threshold for the active sessions.You can then set a task for the alert to notify you with a basic script or log the event to a file.Although you can get some session level information from the Remote Desktop Services Manager, a performance object called Terminal Services Session provides quite a bit more data.Use the Remote Desktop Services Manager to find the session you want to monitor sessions are identified in Performance Monitor by their session numbers, not user login name and then add counters to monitor that session.Each session object has processor and memory counters that should look familiar to anyone whos used Performance Monitor, but it also has session specific counters such as the ones in Table 2. 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Boyan Penev on Microsoft BI.A practical blog about Microsoft BI tools, techniques and practices written by a developer for other fellow developers.Career advice for the IT professional, as well as tips for SQL Server and Business Intelligence.Boyan Penev on Microsoft BI A practical blog about Microsoft BI tools, techniques and practices written by a developer for other fellow developers.When monitoring SSAS we can use a few tools to gain insight into what is happening on the instance.Perfmon is especially interesting as it shows us information about various aspects of the server we can see memory, disk, CPU and MDX counters out of the box.However, perfmon cannot show us how many queries were run on SSAS neither per period e.We have another counter, similar to a count of queries Storage Engine Query Total Queries Answered.This is not the same as the number of MDX queries answered, as if a query does not hit the Storage Engine SE, but the Formula Engine FE cache instead, it wont increment the counter.And, if a query needs to be answered by more than one Storage Engine requests, we will see that the counter gets incremented with more than 1.There are alternatives.We can try using the Query Log server settings and save queries to a database table automatically Unfortunately for us in this case, since the Query Log is typically used for Usage Based Optimisations UBO, it also shows SE requests, not the actual MDX queries issued.Hence, it suffers from the same drawback as the perfmon Total Queries Answered counter.The other alternative which comes to mind is SQL Server Profiler.After all it allows us to see what queries get sent to the server, along with lots of other useful information.If we are interested in the count of queries only, we can capture a trace which includes only the Query End event.Buy a EMC NetWorker Module for Microsoft SQL Server license 1 client or other Backup Software at CDW.VJYEIZ-nsc/hqdefault.jpg' alt='Install Multiple Instances Of Ssas Tabular' title='Install Multiple Instances Of Ssas Tabular' />Why not Query Begin Well, we cant see some possibly interesting numbers before the query has been executed, for example the Duration of each query.If we capture only Query End we get exactly what we need one event per query.We can also capture Error events to check if things go wrong.A typical Query End only trace looks like this all columns included As we can see above, we get the actual query in the Text.Data column, the User Name, Application Name, Duration, Database Name all very useful properties if we want to analyse the load and the performance of our server and various solutions.While the information looks great on screen, having it in a database table would enable us to do what we BI devs like doing play with the data.Only this time its our data, about our toys, so it at least for me is twice as fun.A SSAS trace can be run on the server without Profiler the term for it is a server side trace.Unlike SQL Server RDBMS traces, a SSAS server side trace cannot directly log its output to a SQL Server table.Luckily, we can write the results in a.SQL Server table with a few lines of code.To create a server side trace we can first export the trace definition to an XMLA file from profiler The XMLA file we get looks like this all scripts are attached to the end of this post If we remove the first line This trace is useless to us because it does not write its output anywhere.To fix this we can add a few settings like this Note that I have changed the Name and ID of the trace to be more user friendly, and I have removed the Filers section, as well as the first line.Now the script can be used to create a trace.To delete the trace we can use And to list all running traces on a SSAS instance Note that by default SSAS is configured to run Flight Recorder, which uses a trace to capture events happening on the server thanks to Dan English for suggesting this clarification.The trace may appear with ID and Name of Flight.Recorder. You should not tamper with the trace manually.If you want to stop it, which is a performance recommendation from the SSAS Performance Guide, you should disable Flight Recorder from the SSAS server properties click for a larger version Now, armed with all these scripts we can effectively manage traces on our instances.The only problem we have not resolved so far is exporting the trc file created by our create trace XMLA command to a database table.This can be easily done in a.NET app, or in Power.Shell. The pstracecopytotable.Power. Shell script does the following thanks to Darren Gosbell for creating the initial version.Copy the trc file with another name for further processing.Delete the trace form the server.Delete the trace file.Start the trace on the server again.Export the copied trc file into a SQL Server table.Run a stored procedure moving the data from the SQL Server table to another SQL Server table which contains all trace data.We delete create the trace because otherwise we cannot delete the trace file.The last step runs a stored procedure which moves the data from the table we imported into to another table because the first landing table gets re created every time we import into it and the trace data cannot persist in it.Note that there is some exception handling implemented in this script trycatchfinally blocks.If you are using an old version of Power.Shell, it is possible that you may have to remove the exception handling statements as they were not supported.I have attached a sample script which excludes them pstracecopytotablenoexceptionhandling.Finally, we can run this script through SQL Server Agent on regular intervals.SQL Server Agent allows direct Power.Shell script execution, so this is very easy to set up and can be scheduled to run recurrently every X minuteshoursdays.A small note you may notice that some rows in the database table contain events with an Event Class lt 1.Query End and NULLs in most columns.These are trace related events and can be ignored e.There is also another way to achieve the same outcome.As a part of the Microsoft SQL Server samples you can download a utility called ASTrace.You will have to download and compile it, but after that you can run it as a Windows service and it will capture the trace events as they happen and write them directly to a SQL table.The Server File Table changes to Server Table.Also, you dont need to move the data from one table to another. 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The drawback is that you have an additional service on your server.You may or may not be able to run it depending on your organisations security policies and admin practices, and while it is open source, it is not officially supported by Microsoft.Either way, collecting trace data allows you to create reports like the following, which can be a really nice way to track whats happening on your servers Scripts listyofiles folderwp contentcountqueriesscripts.Microsoft Ignite Announcements James Serras Blog.Many product announcements were made this week at Microsoft Ignite, and I wanted to give a quick overview of all the data platform related announcements SQL Server 2.Linux, Windows, and Docker, generally available on October 2nd.SQL Server 2. 01.Windows and various flavors of Linux Red Hat Enterprise Linux 7.SUSE Linux Enterprise Server 1.Ubuntu and Docker.The official Docker image is based on Ubuntu 1.The performance of SQL Server on Linux vs Windows is basically the same.However, not everything has been ported.There are no Reporting Services or Analysis Services, nor Machine Learning Services, transactional replication, Stretch DB, or File Table see Unsupported features and services.Management tools remain for the most part Windows only, though command line tools work.The major new features are graph query support, Python in Machine Learning Services, SSIS scale out, and Adaptive Query Processing and Automatic Tuning for better query optimization.Learn more and see Whats new in SQL Server 2.Azure Database Migration Service DMS and Azure SQL Database Managed Instance, public preview.New Managed Instance offering within SQL Database offers near complete SQL Server compatibility and network isolation for easiest lift and shift to Azure.DMS offers a fully managed, first party Azure service that enables customers to easily migrate their on premises SQL server databases to Azure SQL Database Managed Instance and SQL Server in Azure Virtual Machines with minimal to no downtime.Customers can maximize existing license investments with discounted rates on Managed Instance using a new Azure Hybrid Benefit for SQL Server.Sign up for news on availability.Azure Machine Learning, new capabilities in public preview.Updates connect every element of the data science process with enhanced productivity and collaboration for AI developers and data scientists at any scale.Enables them to start building right away with their choice of tools and frameworks.The updated platform includes a enhanced data cleansing and prepping tool called ML Workbench to start the modeling process sooner.It is a client application that runs on Windows and Mac and is targeted at data scientists who are not users of Visual Studio and integrates with popular open source data science toolkits such as Python Scikit Learn, Jupyter Notebooks and Matplotlib.It integrates with the cloud by seamlessly moving the heavy lifting to the GPU powered VMs in Azure.Other new capabilities include The Azure Machine Learning Experimentation service allows developers and data scientists to increase their rate of experimentation The Model Management service provides deployment, hosting, versioning, management, and monitoring for models in Azure, on premises, and to IOT Edge devices.These new features will help data scientists develop, deploy, and manage machine learning and AI models at any scale wherever data lives in the cloud, on premises, and edge.Learn more on the Azure Machine Learning page and Diving deep into whats new with Azure Machine Learning.Microsoft Cognitive Services updates.Includes general availability of Text Analytics API, a cloud based service for language processing such as sentiment analysis, key phrase extraction and language detection.In October, we will also make generally available Bing Custom Search to create customized search experience for a section of the web, and Bing Search APIs v.Bing Web, News, Video Image search.Read the announcement blog post.Announcing the preview of Machine Learning Services with R support in Azure SQL Database.You can evaluate this preview functionality in any serverdatabase created in the West Central US Region.More info. Azure Data Factory ADF announcing new capabilities in public preview.These new capabilities in ADF will enable you to build hybrid data integration at scale.Now you can create, schedule, and orchestrate your ETLELT workflows, wherever your data lives, in the cloud or on any self hosted network.Meet security and compliance needs while taking advantage of extensive capabilities and paying only for what you use.Accelerate your data integration with multiple data source connectors natively available in service.SQL Server Integration Services SSIS customers will benefit from easily lifting their SSIS packages into the cloud using new managed SSIS hosting capabilities in Data Factory.We have taken the first steps to separate Control Flow and Data Flow within ADF to provide greater control over complex orchestrations that now facilitate looping, branching, and conditional structures within Control Flow.We have added new flexibility to scheduling by enabling triggering with wall clock timers or on demand via event generation.Parameters can now be defined and passed while invoking pipelines to enable incremental data loads.If you want to move your SSIS workloads, you can create a data factory version 2, and provision an Azure SSIS Integration Runtime IR.The Azure SSIS IR is a fully managed cluster of Azure VMs nodes dedicated to run your SSIS packages in the cloud.For step by step instructions, see the tutorial deploy SSIS packages to Azure.Full details of the release and features can be found on the Azure Data Factory service page.We encourage you to try these new capabilities, available at public preview pricing.Announcing the preview for the Azure Data Box.A hardware appliance that companies can use to load their data for shipping to the closest Microsoft Azure data center.The 4. 5 lb box, which is tamper proof, holds up to 1.TB of data. It plugs into a corporate network for downloads, and then into Azures own high speed networks to upload its contents.Companies will be able to rent it, fill it, and ship it while tracking its progress.Data on the device will be encrypted throughout the journey.More info. Introducing Azure Availability Zones for resiliency and high availability.Availability Zones are fault isolated locations within an Azure region, providing redundant power, cooling, and networking.Availability Zones allow customers to run mission critical applications with higher availability and fault tolerance to datacenter failures.More info. Public preview Virtual network service endpoints for Azure Storage and SQL Database.You can now secure Azure Storage and Azure SQL Database to only your virtual networks, by using virtual network service endpoints.Endpoints provide a direct connection from your virtual network to the Azure services, extending your virtual networks private address space and identity to the services.Traffic from your virtual network to the services will always remain on the Microsoft Azure network backbone.More info. Intelligent insights for Azure SQL Database.Azure SQL Database built in intelligence continuously monitors database usage through artificial intelligence and detects disruptive events that cause poor performance.Once detected, a detailed analysis is performed generating a diagnostic log with intelligent assessment of the issue.This assessment consists of a root cause analysis of the database performance issue and where possible recommendations for performance improvements.More info. Read replicas for Azure Database for My.SQL. Read replicas will allow customers using My.SQL on premises or on other cloud service providers to create replicas of their instance in Azure.They can then choose to upgrade the replica to master in Azure Database for My.SQL, and connect their apps directly to the new database instance.If you are interested in understanding the functionality of this private preview visit the Azure blog or more information.Renamed R Server to Machine Learning Server.Announced was the renaming of Microsoft R Server to Microsoft Machine Learning Server and SQL Server R Services to SQL Server Machine Learning Services.The additional language support aligns the Advanced Analytics workload to Machine Learning capabilities and focus on AI.With Python support in addition to R and Microsoft ML libraries we enhance Machine Learning capabilities and offer the ability to develop new intelligent applications combining the best of open source and enterprise capabilities of SQL Server 2.More info. 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