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ActiveGate OS: Ubuntu Server 16.04 LTS, RHEL server 7, CentOS server 7. For detailed prerequisites, hardware requirements, and installation guidelines, see our help page for browser monitors in private locations. A: We currently support Ubuntu Server 16.04 Q: Is there a plan to support more operating systems?
Windows 2016Server (or a supported Linux distribution ). Compliance with hardware requirements. What you need to start synthetic monitoring with Windows ActiveGates. A synthetic-enabled environment ActiveGate: ActiveGate version 1.173+. See private locations documentation for further details and requirements.
I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.
When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.
As indicated, SQL Server2016 added the use of SSE and AVX instructions in various code paths to improve performance. This post will outline SQL Server’s decisions around SSE/AVX or software algorithm use. SQL Server asks the CPU if it supports SSE or AVX in order to determine the level of hardware support present on the system.
SQL Server2016 ‘It Just Runs Faster’ A bold statement that any SQL Server professional can stand behind with confidence. Try SQL Server2016 Today. The SQL Server Development team tasked several individuals with scalability improvements and real world testing patterns. – [link].
SQL Server2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. Ryan Stonecipher – Principle SQL Server Software Engineer. SQL Server.
I've been teaching and writing about common SQL Server mistakes for many years. This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. SQL Server Agent alerts. This situation applies to on-premises SQL Server and IaaS. Statistics.
Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain.
A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon.
I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. System’s configuration is not given anymore and often can’t be easily mapped to hardware. – Cloud. – Agile. – Continuous Integration.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
Why do you need multiple instances on the same server? You can have a host with two or three instances configured as a delayed replica of the source server with SQL Delay of, let’s say, 24hr, 12hr, and 6/3hrs. You can run multiple instances on a server to test your backups with the correct version and configs.
20+ years ago when I joined Microsoft I was handed a diskette (maybe it was two), and was told “Here is SQL Server. So I proceeded to install SQL Server 4.20 desktop machine (I won’t tell you the hardware details. There was a GUI as part of setup but within just a few clicks, SQL Server was installed and ready for use.
On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, With faster disks (i.e. MySQL on ec2.
As I embark on my first PASS Summit in a few years, it is hard to contain my excitement about the newest version of SQL Server. As you may recall, back in SQL Server2016 SP1, they opened up all of the programming surface features to all editions, and many (but certainly not all) of the performance and availability features.
I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.
LTS (April 2016). I wrote about it in a previous post, [DTrace for Linux 2016]. I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Oracle VM Server is based on Xen. The hardest part on Linux is now done: kernel support.
Back in June, Bob Dorr gave you the thinking behind why SQL Server2016 It Just Runs Faster due to changes in our SQL Server and NUMA configurations. Bob blogged about a new SQL Server2016 feature called Auto Soft NUMA. 144 total logical processors as exposed by the Windows OS and seen by SQL Server.
So, apart from powering servers with renewable energy, what else can web developers do about climate change? This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. In 2016, O’Reilly published “ Designing For Sustainability ” by Tim Frick.
In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them. The true median device from 2016 sold at about ~$200 unlocked.
I recently was asked the following question by an online retailer: “Why should I invest in monitoring the user experience when I already have monitoring for our database, infrastructure, app server, and network?”. I wrote a blog in 2016 that discussed the need for businesses to flip the traditional monitoring investment pyramid on its head.
SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.
In 2010, Netflix introduced a technology to switch production software instances off at random — like setting a monkey loose in a server room — to test how the cloud handled its services. Thus, the tool Chaos Monkey was born.
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%
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