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This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. BBR: Congestion-Based Congestion Control,” [link] 2016 - [Gregg 16] Brendan Gregg, “Unikernel Profiling: Flame Graphs from dom0,” [link] Jan 2016 - [Gregg 16b] Brendan Gregg, “Linux 4.X Ford, et al., “TCP
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.
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.
## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
The second platform is a managed IoT cloud with customer-facing applications and data management, which went live in 2016. If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware. Our AWS Europe (Stockholm) Region is open for business now.
Mbps download speed Jake Archibald mentioned his relative getting or the 0.8 Mbps download speed my in-laws get at their house. Hardware gets better, sure. We frequently position this issue as one around reaching a more global audience (and often, it is ), but it can also hit much closer to home. It makes sense.
.” This paper describes a “far memory” system that has been in production deployment at Google since 2016. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. The far memory system has been deployed in production since 2016. Evaluation.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. BBR: Congestion-Based Congestion Control,” [link] 2016 - [Gregg 16] Brendan Gregg, “Unikernel Profiling: Flame Graphs from dom0,” [link] Jan 2016 - [Gregg 16b] Brendan Gregg, “Linux 4.X Ford, et al., “TCP
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. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.
While hardware such as intelligent SANs, Solid State Disk, and other advancements have helped speed things up, wasted space in index can translate to wasted space in the buffer pool as well as wasting more I/O. SQL Server Database Maintenance plans prior to SQL Server 2016 only allowed to rebuild or reorganize all indexes.
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. The hardest part on Linux is now done: kernel support. It's the official profiler.
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.
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
desktop machine (I won’t tell you the hardware details. Today we are introducing the new Basic Installer experience for SQL Server 2016 Express , SQL Server 2016 Developer , and SQL Server 2016 Evaluation Editions. Don’t worry about taking screenshots or speed reading. Go install it”. on my Windows NT 3.1
JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Thankfully, this is somewhat easier than network speeds: more than half of American mobile users are on Android devices. The true median device from 2016 sold at about ~$200 unlocked.
I wrote a blog in 2016 that discussed the need for businesses to flip the traditional monitoring investment pyramid on its head. Instead of focusing on hardware and infrastructure first, technical teams should first ensure that they first have visibility on the thing that drives the business: their customer experience.
In the latest (October 2016) revision of Intel’s Instruction Extensions Programming Reference , Intel has disclosed a fairly dramatic departure from these “traditional” approaches. The core does not have enough load bandwidth to perform all of these extra load operations at full speed.
Chaos engineering matured at organizations such as Netflix, and gave rise to technologies such as Gremlin (2016) , becoming more targeted and knowledge-based. Speeds incident response. By learning what failure scenarios are possible, these teams can speed troubleshooting, repairs, and incident response.
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%
Nowadays, hardware and software are designed to conduct eye-tracking studies for marketing , UX , psychological and medical research , gaming , and several other use cases. However, the price of eye-tracking used to be much higher than heatmaps, as measuring users’ gaze required special hardware to be used in-lab.
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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