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Both Redis and Memcached are: NoSQL in-memory data structures Written in C Open source Used to speed up applications Support sub-millisecond latency In 2014, Salvatore wrote an excellent StackOverflow post on […]. Memcached, on the other hand, was created in 2003 by Brad Fitzpatrick.
Dynatrace enables our customers to tame cloud complexity, speed innovation, and deliver better business outcomes through BizDevSecOps collaboration. Whether it’s the speed and quality of innovation for IT, automation and efficiency for DevOps, or enhancement and consistency of user experiences, Dynatrace makes it easy.
The combination of our broad platform with powerful, explainable AI-assistance and automation helps our customers reduce wasted motions and accelerate better business outcomes – whether that’s speed and quality of innovation for IT, automation, and efficiency for DevOps, or optimization and consistency of user experiences.
Effective application development requires speed and specificity. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. Given the granular nature of FaaS functions and the fact that they only activate when called, visibility is often the biggest frustration in high-speed application development.
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. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? How long does it take to read the time?
Our focus on delivering precise answers and intelligent automation from the enormous amount of data that emanates from these environments has enabled our customers to do their clouds right, minimizing cloud complexity, accelerating adoption of cloud-native technologies, and speeding digital transformation.”. Everything is automated.
Dynatrace enables our customers to tame cloud complexity, speed innovation, and deliver better business outcomes through BizDevSecOps collaboration. Whether it’s the speed and quality of innovation for IT, automation and efficiency for DevOps, or enhancement and consistency of user experiences, Dynatrace makes it easy.
Since Kubernetes emerged in 2014, it has become a popular solution for scaling, managing, and automating the deployments of containerized applications in distributed environments. Keeping business stakeholders in the loop with end-to-end observability with deep insight and continuous feedback loops?. #2 2 Confidence: .
Netflix headquarters circa 2014. The encoder can typically be improved years after the standard has been frozen including varying speed and quality trade-offs. Netflix interest in SVT-AV1 Reference software typically focuses on the best possible compression at the expense of encoding speed. 264 standard was finalized.
When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. The need for speed has never been more urgent in today’s hyper-digital age. Dynatrace news. Digital transformation with AWS: Making it real with AIOps. 2021 DevOps Report.
Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds. It's all a bit confusing, and I wrote about this in 2014: [Xen Modes]. When I joined Netflix in 2014, we had begun transitioning from PV to HVM (PVHVM). I'd expect between 0.1% This recommendation quickly became out of date.
To keep inline with browser trends and average connection speeds SpeedCurve will begin updating the test setting every quarter. The 9.8Mbps download speed is based on the latest State of the Internet report from Akamai.
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. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? How long does it take to read the time?
ccache, the compiler cache, is a fantastic way to speed up build times for C and C++ code that I previously recommended. Recently, I was playing around with trying to get it to speed up my Linux kernel builds, but wasn’t seeing any benefit.
Many were hesitant to sacrifice site speed for the added layer of security if they felt like they didn’t need it. Google made SSL use a ranking factor way back in 2014, and since Chrome 68, a “Not Secure” warning appears next to the URL of sites that aren’t using HTTPS. So what’s the truth? Is SSL slow?
ccache , the compiler cache, is a fantastic way to speed up build times for C and C++ code that I previously recommended. Recently, I was playing around with trying to get it to speed up my Linux kernel builds, but wasn’t seeing any benefit. That, and this LKML post from the KBUILD maintainer in 2011 about determinism.
## 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?
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. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? How long does it take to read the time?
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.
I've been helping lead BPF observability since 2014, and I'm a major contributor and maintainer for the front-ends. I learned firsthand how to bring beginners from different backgrounds up to speed. It was developed with the help of many members and leaders of the BPF community. This is also my fourth book to cover tracing.
To overcome some of these challenges, we built our own Java-based player, complete with caching, content compression, and even bandwidth detection so it could switch between video, audio, and text versions of a course depending on network speed. Ultimately the business didn’t survive the dotcom bust, but it lit a spark.
into processing/rendering/painting on the GPU rather than CPU , which is a speed boost. There was a spurt of articles about will-change around 2014/2015 that warn about weird behavior, like unexpected changes in stacking contexts and being careful not to use it “too much.” But is that important to do? I don’t know.
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. Recall that single-core performance most directly translates into speed on the web.
What I got back were two artifacts, one of them being the following video of Akamai web performance expert Robin Marx speaking at We Love Speed in France a few weeks ago: The other artifact is a Google document originally published by Patrick Meenan in 2015 but updated somewhat recently in November 2023.
Performance issues surrounding Availability Groups typically were related to disk I/O or network speeds. As we moved towards SQL Server 2014, the pace of hardware accelerated. We needed to start thinking about how fast can we replicate to a synchronous secondary replica in terms of % of the speed of a standalone workload.
The New York Times reported in late 2020 that Google now pays Apple between $8-12 billion per year , up from $1 billion in 2014. In 2014, Apple would have enjoyed a profit margin of 50% if it had spent half a billion on browser engineering. Despite being largely open source, browsers and their engines are not loss leaders.
Things were starting to significantly diverge back in 2014 when MariaDB 10 was released. Both MariaDB and MySQL came to the conclusion they need LTS versions and releases which focus on the speed of Innovation at the same time. This was a departure from matching MySQL versions, as was happening with MySQL 5.1 and MySQL 5.5.
Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. It looked at ways to find a relatively small number of distinct values from a moderately large dataset, and concluded that a recursive solution could be optimal.
This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. The older Intel Xeon E5-26xx v3 (Haswell) series which was introduced in Q3 of 2014, had a maximum memory bandwidth of 2133MHz. The L3 cache size is 64MB. lanes for I/O connectivity.
Good ol’ PerfPlanet is back for another season with all things speed and web performance. Lean UXMas has been publishing each advent since 2014 and is a collection of the most popular articles from this year’s Agile and Lean UX latest news. Jump to table of contents ?. PerfPlanet Calendar. id24conf on Twitter. Lean UXMas.
For more on what the critical rendering path is, why it matters so much and how to optimize asset delivery to ensure you don't block it IIya Grigorik gave a great overview of the topic at Velocity Conf 2014.
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?
It also ranges from studying individual recordings to gather data about the behavior of specific users to quantitatively comparing the number of users who looked at an AOI, the amount of time that they spent on it, and the speed with which it is first detected. Since 2014 , however, mobile users have been gaining more and more importance.
Thus, the entire website development methodology benefits from the boosted speed and saves times by using these top front end frameworks. PWAs can save the time and efforts required to develop an entire native application for multiple platforms from scratch, hence speeding up the time to market and enhancing audience reach.
Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds. It's all a bit confusing, and I wrote about this in 2014: [Xen Modes]. When I joined Netflix in 2014, we had begun transitioning from PV to HVM (PVHVM). I'd expect between 0.1% This recommendation quickly became out of date.
I'm stoked that SpeedCurve has been chosen as one of two winners in the 2014 Webstock Start-Up Alley. I'll be using the 10k prize money and two flights to the US to attend Velocity Conf in San Fran in June and New York in September.
Today we’ll be digging into the analysis of an incident that took place at Etsy on December 4th, 2014. In fields such as software operations, it can be too easy to assume that the success of business-critical systems are owed solely to the speed, algorithmic prowess, and preventative design of automation. The last word.
They often get blindsided by vendor’s pitch and end-up making decision based on some fancy demos (see my post from 2014 on Adobe AEM ). Circa 2014, I was working with a big Japanese automotive brand in Australia. However, it is important to note that JAMstack can serve both static as well as dynamic content.
This situation was so bad that Microsoft offered a 25% discount on the cost of SQL Server processor core licenses for SQL Server 2012 and SQL Server 2014, if you ran on qualifying AMD Opteron processors with six or more cores.
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.
Earlier cars had a carburetor based engine, later ones had fuel injection, and there was a 2.7liter or 3.0liter V6 engine with automatic or 5 speed manual gearbox. My 1973 car is silver-grey with black leather interior, a US-spec body that has had glass headlight covers added, with a 3.0liter carburetor engine and 5 speed manual gearbox.
And here's an excerpt from [Linux] today (include/linux/sched/loadavg.h): #define EXP_1 1884 /* 1/exp(5sec/1min) as fixed-point */ #define EXP_5 2014 /* 1/exp(5sec/5min) */ #define EXP_15 2037 /* 1/exp(5sec/15min) */. Anyway, the following patch seems to make the load average much more consistent WRT the subjective speed of the system.
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