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Architecture Cloud Performance Products Programming Techniques Solutions Technology aggregate analysis data-parallel computing digital twin in-memory computing object-oriented programming real-time analytics scalability stream processing streaming service MORE
python programming scaling performaceAs a programmer we have written codes that ideally solves a problem, but do we take note of the performance when it comes to solving a problem, or do we just feel comfortable with “My code works?" MORE
performance testing programming test automation developers automated testing automated testing best practices automated testing frameworks MORE
Introduction. Observability is the ability to understand the internal state of your system by looking at what is happening externally. In a software system, in order to acquire observability, we mainly implement the following aspects: logging, metrics, and tracing. MORE
There is always a lot of uncertainty around which programming language to use when starting a new test automation project. You may also like: 10 Programming Languages You Should Know in 2019. java javascript ruby python c# test automation programming languages ui testing MORE
Cloud Featured Performance Programming Techniques Solutions Technology Use Cases cloud contact tracing data-parallel computing digital twin in-memory computing real-time analytics scalability ScaleOut Digital Twin Streaming Service stream processing MORE
A lot of attention is given to programming languages. Does it really matter what programming languages you know though? Many companies list positions such as “PHP Developer” or “Java Programmer”. Those interested in learning how to code often ask what language they should learn. MORE
To address this problem, we devised a Usability Testing Program — which, as a smaller company — presented us with some interesting challenges. Challenge 1: Not enough dedicated resources available to run the Usability Testing Program. MORE
Parallel programming solves big numerical problems by dividing them into smaller sub-tasks, and hence reduces the overall computational time on multi-processor and/or multi-core machines. In a previous post we have discussed the scaling of parallel programs. MORE
I recently found myself explaining the concept of thread and thread pools to my team. We encountered a complicated threads-problem at our production environment that led us to review and analyze some legacy code. MORE
In the previous post we introduced the Pool class of the multiprocessing module. In this post we continue on and introduce the Process class , which makes it possible to have direct control over individual processes. A process can be created by providing a target function and its input arguments to the Process constructor. The process can then be started with the start method and ended using the join method. Below is a very simple example that prints the square of a number. MORE
Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems. programming python netflixoss data-science netflix MORE
While working on the implementation of the MPI version of the STREAM benchmark, I realized that there were some subtleties in timing that could easily lead to inaccurate and/or misleading results. This post is a transcription of my notes as I looked at the issues… Primary requirement: I want a measure of wall clock time that is guaranteed to start before any rank does work and to end after all ranks have finished their work. MORE
We’ve recently joined forces with Hackerone , the industry leader in external bug bounty programs. Wait, what is a bug bounty program? They can then browse for all public bug bounty programs to participate in. What’s the long-term plan for the program? MORE
In part 1 of this post , we introduced the mpi4py module (MPI for Python) which provides an object-oriented interface for Python resembling the message passing interface (MPI) and enables Python programs to exploit multiple processors on multiple compute nodes. As we mentioned in part 1 of this post , collective communication methods are very useful in parallel programming. MORE
In this first half of the interview, the two covered: performance programming software testing test automation podcast software quality MORE
The supported programming languages for PostgreSQL include.Net, C, C++, Delphi, Java, JavaScript (Node.js), Perl, PHP, Python and Tcl, but PostgreSQL can support many server-side procedural languages through its available extensions. We found that Java is the most popular programming language for PostgreSQL, being leveraged by 31.1% Python was the second most popular programming language used with PostgreSQL, coming in close at an average of 28.9% MORE
The design of a programming (or data) model not only makes certain problems easier (or harder) to solve, but also makes certain classes of bugs easier (or harder) to create, detect, and subsequently fix. Go makes concurrent programming easier and less error-prone. MORE
These things are also good to have in the tools we use to build software, especially programming languages. When we talk about UX, we often refer to the UX of the products we build and use. We want our products to be easy to use. Interactions should be quick. MORE
The first release of the program took place in 2000. devops performance programming code quality cpp static code analysis cmake static code analyzerCMake is a cross-platform system for automating project builds. MORE
Programming with Vert.x performance java programming vert.x This article is the first in a series of three articles which share my experience with troubleshooting the performance of Vert.x applications. The first article provides an overview of the Vert.x MORE
In previous posts we have introduced the multiprocessing module which makes it possible to parallelize Python programs on shared memory systems. This module provides an object-oriented interface that resembles the message passing interface (MPI) , and hence allows Python programs to exploit multiple processors on multiple compute nodes. Now we can write our first Python program with mpi4py. MORE
Successfully programming an application requires an ingenious mix of lines of code that combine to bring life and versatility to the application. javascript tutorial performance programming performance optimizationYou’ll need to make several decisions while attempting to find solutions to a bigger set of problems. MORE
performance spring java (programming lang. Learn more about JUnit and Byteman! Testing asynchronous operations might cause some troubles and usually requires few challenges and also code changes (even in production code). MORE
When we kicked off our user research program, our goal was to generate objective data to guide our UX decisions. While designing this program, our limited set of users was something we had to consider. To build momentum, we kicked off the program using internal stakeholders as our test subjects. The post Bootstrapping a Usability Testing Program appeared first on Tasktop Blog. MORE
The jumbo build effectively meant we were programming in an odd dialect of C++ with surprising rules around global namespaces. Chromium Performance Programming jumbo builds unity builds MORE
Architecture Cloud Featured Performance Products Programming Techniques Solutions Technology aggregate analysis data-parallel computing digital twin in-memory computing object-oriented programming real-time analytics scalability stream processing streaming service MORE
Existing programming models make it too difficult to perform meaningful analysis in real time. The Challenge: Track Thousands of Data Sources. Writing applications for streaming analytics can be complex and time consuming. MORE
A few months ago, I claimed that naming is the hardest programming problem. The true hardest problem is one that impacts every developer at every skill level, across all programming languages, regardless of experience. It is equally applicable across all programming disciplines. The hardest problem in programming is this: performance tight coupling weak couplingI was wrong. MORE
As a tribute in honor of Dennis Ritchie’s passing , I’d like to invite you to share your thoughts in this post’s comments about your first C program – either the code if you remember it approximately, or a story about when you wrote it. MORE
Architecture Cloud Featured Features Performance Products Programming Techniques Solutions Technology AWS Azure cloud data-parallel computing digital twin high availability in-memory computing object-oriented programming real-time analytics ScaleOut Digital Twin Streaming Service stream processing MORE
performance api memory cpu java (programming lang. What happens when you're out of memory? You may also like: Java Out of Memory Heap Analysis. Recently we experienced an interesting production problem. This application was running on multiple AWS EC2 instances behind Elastic Load Balancer. MORE
caching software-architecture programming open-source software-engineeringBy Drew Koszewnik This is the story about how the Content Setup Engineering team used Hollow, a Netflix OSS technology, to re-architect and simplify an essential component in our content pipeline?—?delivering MORE
The Working Set Model for Program Behavior , Peter J. This weekend we go back in time all the way to the beginning of operating systems research. In the first SOSP conference in 1967 there were several papers that laid the foundation for the development of structured operating systems. MORE
Digital twin models for stateful stream-processing have evolved from concepts largely unrelated to object-oriented programming, in particular, product life-cycle management and industrial IoT (where they are often called device twins ). MORE
Architecture Cloud Featured Performance Programming Techniques Solutions Technology Use Cases Azure data-parallel computing digital twin in-memory computing object-oriented programming parallel computing real-time analytics scalability stream processing streaming service MORE
Architecture Comparison Featured Features Performance Products Programming Techniques Solutions Technology data-parallel computing distributed caching high availability Microsoft LINQ NoSQL object-oriented programming scalable speedup scaleout stateserver MORE
Programs, life cycles, and laws of software evolution , Lehman, Proc. For more than two decades, however, the programming fraternity, and through them the computer-user community, has faced serious problems achieving this. On programming, projects, and products. MORE
Instead of just passively hosting session-state and shopping carts, online applications now can mine shopping carts for dynamic trends to evaluate the effectiveness of product descriptions and marketing programs (such as flash sales). From Distributed Caches to Real-Time Digital Twins. MORE
tutorial performance integration docker java (programming lang The popularity of microservices and the use of third-party services for non-business critical features have drastically increased the number of integrations that make up the modern application. MORE
Tamar Eilam offers an overview of cloud-native programming and outlines a path toward the unification of the cloud programming model. Continue reading The future of cloud-native programming MORE
HackPPL: a universal probabilistic programming language Ai et al., The Hack programming language, as the authors proudly tell us, is “ a dominant web development language across large technology firms with over 100 million lines of production code.” MORE
Sometimes I look back on my life and wonder what it would have been like if I had never started programming. Obviously my career would be different, but I believe that programming has fundamentally changed how I think. MORE
open source database devops performance programming golang hackathon qa and testing softwaretesting code bugsLearn how to squash bugs! To err is human; to introduce bugs is to be a developer, and to debug is part of everyday life. MORE
Programming Related Topics DZone
MAY 1, 2020
Introduction. Observability is the ability to understand the internal state of your system by looking at what is happening externally. In a software system, in order to acquire observability, we mainly implement the following aspects: logging, metrics, and tracing.
DZone
JULY 3, 2019
python programming scaling performaceAs a programmer we have written codes that ideally solves a problem, but do we take note of the performance when it comes to solving a problem, or do we just feel comfortable with “My code works?"
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DZone
DECEMBER 9, 2019
There is always a lot of uncertainty around which programming language to use when starting a new test automation project. You may also like: 10 Programming Languages You Should Know in 2019. java javascript ruby python c# test automation programming languages ui testing
The Morning Paper
OCTOBER 17, 2019
HackPPL: a universal probabilistic programming language Ai et al., The Hack programming language, as the authors proudly tell us, is “ a dominant web development language across large technology firms with over 100 million lines of production code.”
Dynatrace
JULY 2, 2019
We’ve recently joined forces with Hackerone , the industry leader in external bug bounty programs. Wait, what is a bug bounty program? They can then browse for all public bug bounty programs to participate in. What’s the long-term plan for the program?
The Morning Paper
FEBRUARY 13, 2020
Programs, life cycles, and laws of software evolution , Lehman, Proc. For more than two decades, however, the programming fraternity, and through them the computer-user community, has faced serious problems achieving this. On programming, projects, and products.
ScaleOut Software
SEPTEMBER 20, 2018
Digital twin models for stateful stream-processing have evolved from concepts largely unrelated to object-oriented programming, in particular, product life-cycle management and industrial IoT (where they are often called device twins ).
O'Reilly Software
FEBRUARY 5, 2019
Tamar Eilam offers an overview of cloud-native programming and outlines a path toward the unification of the cloud programming model. Continue reading The future of cloud-native programming
DZone
AUGUST 9, 2019
A few months ago, I claimed that naming is the hardest programming problem. The true hardest problem is one that impacts every developer at every skill level, across all programming languages, regardless of experience. It is equally applicable across all programming disciplines. The hardest problem in programming is this: performance tight coupling weak couplingI was wrong.
Tasktop
AUGUST 8, 2019
When we kicked off our user research program, our goal was to generate objective data to guide our UX decisions. While designing this program, our limited set of users was something we had to consider. To build momentum, we kicked off the program using internal stakeholders as our test subjects. The post Bootstrapping a Usability Testing Program appeared first on Tasktop Blog.
DZone
JUNE 1, 2020
I recently found myself explaining the concept of thread and thread pools to my team. We encountered a complicated threads-problem at our production environment that led us to review and analyze some legacy code.
Professor Beekums
JANUARY 21, 2019
These things are also good to have in the tools we use to build software, especially programming languages. When we talk about UX, we often refer to the UX of the products we build and use. We want our products to be easy to use. Interactions should be quick.
Professor Beekums
NOVEMBER 19, 2016
Sometimes I look back on my life and wonder what it would have been like if I had never started programming. Obviously my career would be different, but I believe that programming has fundamentally changed how I think.
PDC
FEBRUARY 13, 2019
Parallel programming solves big numerical problems by dividing them into smaller sub-tasks, and hence reduces the overall computational time on multi-processor and/or multi-core machines. In a previous post we have discussed the scaling of parallel programs.
John McCalpin
MARCH 4, 2019
While working on the implementation of the MPI version of the STREAM benchmark, I realized that there were some subtleties in timing that could easily lead to inaccurate and/or misleading results. This post is a transcription of my notes as I looked at the issues… Primary requirement: I want a measure of wall clock time that is guaranteed to start before any rank does work and to end after all ranks have finished their work.
PDC
AUGUST 2, 2019
In previous posts we have introduced the multiprocessing module which makes it possible to parallelize Python programs on shared memory systems. This module provides an object-oriented interface that resembles the message passing interface (MPI) , and hence allows Python programs to exploit multiple processors on multiple compute nodes. Now we can write our first Python program with mpi4py.
PDC
NOVEMBER 6, 2019
In part 1 of this post , we introduced the mpi4py module (MPI for Python) which provides an object-oriented interface for Python resembling the message passing interface (MPI) and enables Python programs to exploit multiple processors on multiple compute nodes. As we mentioned in part 1 of this post , collective communication methods are very useful in parallel programming.
Sutter's Mill
OCTOBER 16, 2011
As a tribute in honor of Dennis Ritchie’s passing , I’d like to invite you to share your thoughts in this post’s comments about your first C program – either the code if you remember it approximately, or a story about when you wrote it.
PDC
MARCH 8, 2019
In the previous post we introduced the Pool class of the multiprocessing module. In this post we continue on and introduce the Process class , which makes it possible to have direct control over individual processes. A process can be created by providing a target function and its input arguments to the Process constructor. The process can then be started with the start method and ended using the join method. Below is a very simple example that prints the square of a number.
DZone
JULY 1, 2020
performance testing programming test automation developers automated testing automated testing best practices automated testing frameworks
All Things Distributed
JUNE 12, 2015
The Working Set Model for Program Behavior , Peter J. This weekend we go back in time all the way to the beginning of operating systems research. In the first SOSP conference in 1967 there were several papers that laid the foundation for the development of structured operating systems.
Tasktop
AUGUST 13, 2019
To address this problem, we devised a Usability Testing Program — which, as a smaller company — presented us with some interesting challenges. Challenge 1: Not enough dedicated resources available to run the Usability Testing Program.
DZone
JUNE 11, 2020
In this first half of the interview, the two covered: performance programming software testing test automation podcast software quality
ScaleOut Software
JUNE 22, 2020
Instead of just passively hosting session-state and shopping carts, online applications now can mine shopping carts for dynamic trends to evaluate the effectiveness of product descriptions and marketing programs (such as flash sales). From Distributed Caches to Real-Time Digital Twins.
DZone
MAY 28, 2020
Successfully programming an application requires an ingenious mix of lines of code that combine to bring life and versatility to the application. javascript tutorial performance programming performance optimizationYou’ll need to make several decisions while attempting to find solutions to a bigger set of problems.
The Netflix TechBlog
APRIL 29, 2019
Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems. programming python netflixoss data-science netflix
DZone
AUGUST 6, 2019
tutorial performance integration docker java (programming lang The popularity of microservices and the use of third-party services for non-business critical features have drastically increased the number of integrations that make up the modern application.
Scalegrid
OCTOBER 7, 2019
The supported programming languages for PostgreSQL include.Net, C, C++, Delphi, Java, JavaScript (Node.js), Perl, PHP, Python and Tcl, but PostgreSQL can support many server-side procedural languages through its available extensions. We found that Java is the most popular programming language for PostgreSQL, being leveraged by 31.1% Python was the second most popular programming language used with PostgreSQL, coming in close at an average of 28.9%
ScaleOut Software
MAY 19, 2020
Architecture Cloud Featured Features Performance Products Programming Techniques Solutions Technology AWS Azure cloud data-parallel computing digital twin high availability in-memory computing object-oriented programming real-time analytics ScaleOut Digital Twin Streaming Service stream processing
DZone
JANUARY 7, 2020
performance spring java (programming lang. Learn more about JUnit and Byteman! Testing asynchronous operations might cause some troubles and usually requires few challenges and also code changes (even in production code).
DZone
SEPTEMBER 25, 2019
performance api memory cpu java (programming lang. What happens when you're out of memory? You may also like: Java Out of Memory Heap Analysis. Recently we experienced an interesting production problem. This application was running on multiple AWS EC2 instances behind Elastic Load Balancer.
ScaleOut Software
MAY 6, 2020
Existing programming models make it too difficult to perform meaningful analysis in real time. The Challenge: Track Thousands of Data Sources. Writing applications for streaming analytics can be complex and time consuming.
ScaleOut Software
APRIL 22, 2020
Architecture Comparison Featured Features Performance Products Programming Techniques Solutions Technology data-parallel computing distributed caching high availability Microsoft LINQ NoSQL object-oriented programming scalable speedup scaleout stateserver
ScaleOut Software
JULY 11, 2020
Cloud Featured Performance Programming Techniques Solutions Technology Use Cases cloud contact tracing data-parallel computing digital twin in-memory computing real-time analytics scalability ScaleOut Digital Twin Streaming Service stream processing
ScaleOut Software
APRIL 3, 2020
Architecture Cloud Featured Performance Programming Techniques Solutions Technology Use Cases Azure data-parallel computing digital twin in-memory computing object-oriented programming parallel computing real-time analytics scalability stream processing streaming service
Randon ASCII
MARCH 30, 2020
The jumbo build effectively meant we were programming in an odd dialect of C++ with surprising rules around global namespaces. Chromium Performance Programming jumbo builds unity builds
The Morning Paper
MAY 16, 2019
The design of a programming (or data) model not only makes certain problems easier (or harder) to solve, but also makes certain classes of bugs easier (or harder) to create, detect, and subsequently fix. Go makes concurrent programming easier and less error-prone.
DZone
JULY 15, 2019
Programming with Vert.x performance java programming vert.x This article is the first in a series of three articles which share my experience with troubleshooting the performance of Vert.x applications. The first article provides an overview of the Vert.x
The Netflix TechBlog
JULY 12, 2019
caching software-architecture programming open-source software-engineeringBy Drew Koszewnik This is the story about how the Content Setup Engineering team used Hollow, a Netflix OSS technology, to re-architect and simplify an essential component in our content pipeline?—?delivering
DZone
JANUARY 3, 2020
open source database devops performance programming golang hackathon qa and testing softwaretesting code bugsLearn how to squash bugs! To err is human; to introduce bugs is to be a developer, and to debug is part of everyday life.
ScaleOut Software
DECEMBER 10, 2019
Architecture Cloud Performance Products Programming Techniques Solutions Technology aggregate analysis data-parallel computing digital twin in-memory computing object-oriented programming real-time analytics scalability stream processing streaming service
ScaleOut Software
DECEMBER 10, 2019
Architecture Cloud Featured Performance Products Programming Techniques Solutions Technology aggregate analysis data-parallel computing digital twin in-memory computing object-oriented programming real-time analytics scalability stream processing streaming service
DZone
AUGUST 21, 2019
The first release of the program took place in 2000. devops performance programming code quality cpp static code analysis cmake static code analyzerCMake is a cross-platform system for automating project builds.
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