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Cloud providers then manage physical hardware, virtual machines, and web server software management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. FaaS enables developers to create and run a single function in the cloud using a serverless compute model.
Since we moved to AWS in May 2014 we have had an availability of 99.95%! The AWS team confirmed a known hardware issue affecting a certain amount of EC2 machines in that region. On one hand, they enable our engineers to get their latest enhancements deployed into production.
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?
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%
2014: Java in Flames Broken Java Stacks (2014) When I joined Netflix in 2014, I found Java's lack of frame pointer support broke all application stacks (pictured in my 2014 Surge talk on the right). The actual overhead depends on your workload. Others have reported around 1% and around 2%.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are on [slideshare] or as a [PDF]: I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
With a skeleton staff of 7 on a on 24×7 schedule, we increased the number releases from 2 to 26 per year and reduced production bugs by 93% since 2014. Dynatrace IT itself has implemented a NoOps model for our own IT operations. Dynatrace achieved its own IT transformation using infrastructure-as-code principles and Cloud Automation.
In the past few years, we have seen an explosion in the use of Deep Learning as its software platforms mature and the supporting hardware, especially GPUs with larger memories, become widely available. Instead, we will be reading an excellent overview paper by Jürgen Schmidhuber of IDSIA from 2014. 2014.09.003).
HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video. TPU: Tensor Processing Unit (TPU) is Google’s specialized hardware for neural network.
If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications?
Netflix headquarters circa 2014. 264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware. by Andrey Norkin, Joel Sole, Kyle Swanson, Mariana Afonso, Anush Moorthy, Anne Aaron Netflix Headquarters, Winchester Circle. It’s a nice building with good architecture!
That app is subject to “voluminous (public) user feedback”, and in the 2014 floating-point based calculator, bug reports relating to inaccurate results, unnecessary zeroes, and the like. For calculators, spreadsheets, and many other applications we don’t need the raw performance of hardware floating point operations.
To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. So around the end of 2014, the engineering team started to explore moving towards a microservices architecture using containers. containers stopping and starting).
These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.
They started using AWS in 2014 after a decision to move away from outsourcing without having to build on-premises infrastructure, in an initiative to restart innovation in-house after a hiatus spanning several years. Telenor Connexion. Telenor Connexion is a part of one of the world's largest mobile telecommunications companies, Telenor.
Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)
Delayed three years ( Chrome 40, November 2014 vs. Safari 11.1, A subset ( element.animate() ) has enabled developers to more easily create high-performance visual effects with lower risk of visual stuttering in Chrome and Firefox since 2014. is access to hardware devices. Delayed three years [8]. Service Workers.
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.
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.
Devices and networks have evolved too: Alex Russell @slightlylate An update on mobile CPUs and the Performance Inequality Gap: Mid-tier Android devices (~$300) now get the single-core performance of a 2014 iPhone and the multi-core perf of a 2015 iPhone. Hardware Past As Performance Prologue. Mind The Gap.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are [here] or as a [PDF]: first prev next last / permalink/zoom I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. Try SQL Server 2016 Today.
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%
SQL Server asks the CPU if it supports SSE or AVX in order to determine the level of hardware support present on the system. Version of SQL Server 2012, 2014, and 2016 using the Crypto* APIs take advantage of the hardware implementations through the API support. Reference APIs such as: CryptDecrypt.
Before booting a compiled Linux kernel image on actual hardware, it can save us time and potential headache to do a quick boot in a virtual machine like QEMU. 1.144949 ] Hardware name: QEMU Standard PC ( i440FX + PIIX, 1996 ) , BIOS 1.10.2-1ubuntu1 Typically, when we modify a program, we’d like to run it to verify our changes.
I’d first come across this argument in a WSJ article in 2014, and, having lived through too many credit cycles, it took me some time to warm up to it. Labor productivity improvement was so great compared to the hardware and software costs, interest rates had no discernible effect.
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.
Macbook Air (2014). Macbook Air (2014). Macbook Air (2014). Macbook Air (2014). On powerful devices, like my Macbook Air (2014), parse and execution time was negligible. Another interesting note was how significant the impact of hardware has on the timing. Firefox 31. iPad (4th Gen).
Use SQL Server Management Studio (SSMS) or your favorite query editor to connect to a SQL Server 2012 or 2014 instance. On the same hardware/machine repeat steps 1 thru 3 using an instance of SQL Server 2016 CTP 3.0 SQL Server 2014. Paste the script below in a new query window. or newer release. Sample Results (7 times faster).
For SQL Server 2008R – 2014, you could lower this threshold using trace flag 2371. 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. That can take a long time on larger tables.
Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. The parallel column store aggregate push down result of 57 million rows processed in 7ms (using 40ms of CPU) is remarkable, especially considering the hardware. This follow-up post revisits the question for SQL Server 2019, using a larger number of rows.
Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). Or, from a different point of view, Solaris was less secure.)
Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)
These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.
Although modern iOS hardware is powerful enough to handle many intensive and complex tasks, the device could still feel unresponsive if you are not careful about how your app performs. This is mentioned briefly in the WWDC 2014 presentation “ Platforms State of the Union ”, around 01:21:56.). 2019-02-05T13:00:00+01:00.
These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.
SQL Server 2014 SP2 and later produce runtime (“actual”) execution plans that can include elapsed time and CPU usage for each execution plan operator (see KB3170113 and this blog post by Pedro Lopes). Interpreting these numbers is not always as straightforward as one might expect. The clock keeps running at the same rate even during sleep.
In 2014 and 2015 respectively, AWS opened offices in Stockholm and Espoo, Finland. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. In making the switch to AWS, WOW air has saved between $30,000 and $45,000 on hardware, and software licensing.
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