Posted in Software development, on 18 September 2020, by , 0 Comments

A line can then be drawn between these two points with the slope characterizing scalability. Well-scaling test implementations would be expected to have a positive, steep slope for test types 1, 2, 4 and 6 whereas for test types 3 and 5 the slope is expected to be negative. TechEmpower Web Framework Benchmarks is a collaborative, open web framework benchmarking project that I blogged about last year . Since the last write-up a new benchmark round has been run with lots of new test implementations.


I fiddled with it for one day, and then, out of frustration, decided to give openresty a try. I’ve never written much Lua in my life, but after only a couple of hours, I had it working, and it was far, far faster than the Spray implementation. I did some research there, and it seems that the database stuff took a whole lot longer in Scala/Spray than in Lua. Now, of course, I loose type safety, so there may be hidden issues in there, but since I’m really just doing simple data transformations, I think I’m fine with lua / openresty. Implementing the actual test permutation turned out to be interesting, but surprisingly laborious, as well. I started seeing strange error responses occasionally when benchmarking my test implementation with ab and wrk, especially with higher loads.

If I had to do this over again I would look more into using boost or another language. Not exactly a framework but a good place to start. Have done absolutely no web development with c++, would be nice if someone answered this. It isn’t a must, I want to do a side project and C++ is my favorite language. And what if we went to 32G or 64G, but still needed more? The hardware needed to host a 128G system (or multiple 16/32G systems) isn’t cheap.

Single database query test

This article try to determine in the most objective and rational way the best web framework depending on your needs. To reach this goal, I will provide a decision tool in the result section. There are still practical limits, and sometimes you have to work within those.


In order to give a more understandable measure I provide the log of the score. Also an important remark, javascript score very badly here while coffeescript score “excellent”. So if you intend to use a javascript framework but only with coffescript that should change substantially the score. Javascript oriented framework score very badly regarding expressiveness. There are a lot of biases, for example in the choice of the parameters. But, as far as I know, this is the only article which use many different parameters to help you choose a web framework.

Enable test implementation logging during preview runs . I found it very difficult to troubleshoot infrastructure deployment automation related bugs during the preview runs. Allowing server side logging for preview runs could be a huge help for test implementers troubleshooting their code. In this test there’s also been about 10 % performance degradation for the top 5 implementations. I did some non-scientific analysis of TFB round 10 results and here’re a few observations on the Peak environment, “best” concurrency level results. According to the documentation round 10 and 9 Peak hosting hardware specifications are the same, so the results should be directly comparable.

Top performing 10 frameworks were based on PHP, JavaScript, Scala, Java and Go languages, all of which use the MySQL database. I realize the TE team needs to prioritize actual customer projects over pro bono style work. However, many test implementers are in a similar position, so having a predictable release plan would help contributors schedule their work. It seems that at least part of the delays may have been caused by scope-creep, so a stricter release policy could also help make release schedule more predictable. Anyone with a history of working with ASP.NET and then comparing it to, well, almost anything else will point out that, historically speaking, ASP.NET is not exactly a fast platform.

Just copy a .cppsp file into your , and it is instantly accessible. This project started as a student project in 2014 and was presented in 2017. Every aspect of the internet, we believe, ought to be free. As a consequence, this utility was developed for free document downloads from the internet. Our service is completely free; advertising is the only way we can keep operating.

Among others, round 10 benchmark run includes support for the Cassandra NoSQL database, as well as a new Java-based test implementation leveraging Servlet 3 asynchronous processing. Many frameworks are at their best with concurrency level of 256, except CPPSP which peaks at 1024. Only 12 test implementations are able to exceed 1 M requests per second.


The JSON structure has been modified a bit for easier parsing . And I am quite happy it confirms my current choice. I tried to be the most objective and factual as possible. But one thing I saw from experience is the more powerful the type system the safest your application is.


This is a very simple test and it’s a bit of a surprise to see such large variation in results. In their commentary TechEmpower attributes some of the differences to how well frameworks work on a NUMA-based system architecture. Provide resource consumption statistics for preview runs.

[Solved]-Is cpoll_cppsp framework type-safe as Ur/Web?-C++

Those workarounds not only hurt the performances of your application, but more importantly, they’re making your program harder to reason about. When implementing the API, I didn’t focus much on performances. My primary objectives were correctness, compositionality, and typesafety. Actually some design choices, like making every validator lazily evaluated, have a negative impact on performances. The unified validation API is an effort to provide the core primitives needed to validate any data structure.

Perhaps all the middleware software versions could be logged during test execution and the full test run logs could be made available. The benchmarking project source code doesn’t seem to be tagged. Tagging would be essential for making benchmarks repeatable. It was interesting to note that the top six test implementations use a relational database with the first NoSQL based implementation taking 7th place. This test runs DB read statements by ID, which NoSQL databases should be very good at. The JSON serialization test aims to measure framework overhead.

The thing that makes it ugly is what makes it fast. I wonder how facebook’s hhvm engine would stack up, as it is a jit’ing php engine and supposedly an order of magnitude faster. I decided to drop JAX-RS in this case, however, to eliminate any non-essential abstraction layers that might have a negative impact on performance. HHVM wins this test with 3 Node.js based frameworks coming next. Similar to the Single database query test the top 13 implementations work with relational MySQL DB, before NoSQL implementations. This test exercises simple read and write data access by ID which, again, should be one of NoSQL database strong points.

  • Performance related data gathering could even be taken further by running test implementations using a profiling tool during preview runs.
  • Only test implementations based on relational databases made it to top 10, leaving out MongoDB and Cassandra.
  • Please note the actual ability to take a rational decision is pretty bad for now.
  • There are a lot of biases, for example in the choice of the parameters.
  • HHVM wins this test with 3 Node.js based frameworks coming next.
  • All of this is based as most as I could on objective data.

The only performance metric a test implementer currently gets is the throughput figures per test and concurrency level. This gives the implementer very little to go by, in terms of optimization feedback. CPPSP (C++ Server Pages) is a web application framework similar to ASP and ASP .Net. CPPSP pages have a very similar syntax to ASP and ASP .NET, where all code is considered HTML by default, and server-side active code can be embedded using “”. That’s because php is a really thin wrapper around the underlying C libraries.

Equally, connecting from East Coast USA to East Coast USA will be a higher bandwidth connection than East Coast USA to Europe; ignoring terrible last mile connectivity and wifi packet dropping, for the same reason. Interestingly West US to East US is about the same as East US to Europe. While our game servers are built more like HFT Quant trading servers, we also need to dynamically scale and repartition space on the fly based on demand.


Kestrel is the web server that’s included and enabled by default in ASP.NET Core project templates. Kestrel supports HTTPS, HTTP/2 , Opaque upgrade used to enable WebSockets, Unix sockets for high performance behind Nginx…. The D series are my preferred option; D1-D14 have 60% faster CPU than A series; more memory and local SSDs; with D14 being 16 cores 112 GB and 800 GB SSD. I think the point of this post is rather obvious.

So far, we believe this more than validates that we are not compromising performance by running in Azure, using Windows or managed C# to get both the best performance and also the most developer productivity. It comes in at 412k requests per second css Match all elements having class name starting with a specific string ; which again looking at the chart is some exceptional performance. At this point, I think we’ve concluded that Windows and C# can be very good in the high performance networking role… and possibly out-perform the best C++ on linux so far?

.net core

Our dynamic scaling needs are a good fit for the cloud where we only pay for what we use and always have more capacity ready for when we need it – whether burst or sustained. You can learn more about the unified API by reading this post or by checking out the source code. The Scala API is significantly faster than the Java API. Having invalid fields will greatly affect performances in the Java API, while it has little impact on the Scala side.

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Posted in Education, on 11 September 2020, by , 0 Comments

So developers can use code-based tools to interface with infrastructure to treat them more like an app. This enables infrastructure and servers to be swiftly deployed using standardized patterns, updated with the latest patches and versions, or duplicated in repeatable ways. After that we will discuss about Orchestration and Automation and you’ll learn what automation is and how to manage automation with orchestration. You’ll also learn the benefits of investing in these two technologies and how they can make your daily work easier and more enjoyable. PeopleCert DevOps Qualifications provides practical guidance on how to successfully apply DevOps in day-to-day work. DevOps approach to work has become a sought-after resource across industries.

  • SREs use engineering practices to assures services reliability at scale.
  • For anyone who manages IT training, this DevOps training can be used to onboard new DevOps admins, curated into individual or team training plans, or as a DevOps reference resource.
  • As a practice in which infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous integration.
  • Convenient, accessible, and interactive, our targeted online course is approved by PEOPLECERT and preferred by business leaders around the globe.

… A major difference between SRE and DevOps is the focus on coding and the type of environment you are in. Candidates get guidance on how to lead the implementation of DevOps practices and how to achieve a cultural shift for better collaboration and communication.

Training Industry

A final exam makes sure that you’ve understood all the concepts covered in the learning path, and helps you to identify any potential areas for further study. We provide innovative products and services and strive to stay a step ahead of our customer needs. Training organizations can attain the vouchers for the exam through yourcourseware partner.

What are the key components in DevOps?

  • Continuous Integration.
  • Continuous Delivery.
  • Microservices.
  • Infrastructure as Code.
  • Monitoring and Logging.
  • Communication and Collaboration.

This training aims to expand your knowledge and improving your skills to excel in any DevOps environment. With CI/CD based DevOps culture the application release cycle has been shortened, allowing quicker customer feedback and meaningful innovation to flourish within an organization. The quicker you can release new features and fix bugs, the faster you can respond to your customers’ needs and build competitive advantage. DevOps in an organization to succeed as a practice, requires 2 basic pillars, communication & collaboration, to work very effectively & efficiently. Without this feeling and understanding the importance of closely knit team work, it will be very difficult to adopt DevOps best practices . Current IT practices, to support effective and efficient software development has seen a great paradigm shift. Now monolithic architecture is being replaced by Microservice architecture.

DASA DevOps Fundamentals 2

Offering deep practical knowledge, a large professional network, respected certification programs, and insider events, DevOps Institute helps IT professionals embrace and shape the future of IT. We’ll start off with an introduction to DevOps, its characteristics, and its benefits, and then we’ll move on to the topics of continuous integration and continuous delivery. A more simple way of looking at it is to think of Agile as a set of practices to provide faster software delivery, while ITIL is a framework squarely focused on processes and not practices. Companies devops fundamentals would be doing service management in some way and ITIL helps in streamlining such processes whereas DevOps leverages service delivery by bringing relevant teams together and automating routine tasks to be agile. This intermediate DevOps training prepares DevOps admins to automate the entire process of their software development testing, deployment and delivery through the creation of a CI/CD pipeline. DevOps engineers accompany the product at all life cycle stages, automating and accelerating development processes, increasing its efficiency and safety.

devops fundamentals

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Posted in Форекс Обучение, on 7 September 2020, by , 0 Comments


Анализ объема торгов – неотъемлемый и очень важный элемент технического анализа. По динамике объема можно судить о значимости и силе ценового движения. Объем подразумевает количество контрактов, заключенных за определенный период времени. Из всех этих индикаторов Мы в нашей команде используем горизонтальные объемы + RSI, данные инструменты отлично зарекомендовали себя в кругу опытных трейдеров и в связке дают хорошие сигналы на открытие сделок.

технического анализа

Следовательно, для участника торговли есть возможность наглядного отслеживания накопления объема на различных уровнях рынка. Пользовательский профиль позволяет создать профиль для любого временного диапазона. Например, вы хотите увидеть распределение дельты на плоском графике или на импульсном баре. Как и в случае с друг

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