Daniel Lemire

FEBRUARY 8, 2019

In some instances, libdivide can even be more efficient than compilers because it uses an approach introduced by Robison (2005) where we not only use multiplications and shifts, but also an addition to avoid arithmetic overflows. . ; // your divisor > 0. Compilers generally don’t optimize divisibility tests very well.

C++ 279

C++ Benchmarking Hardware Testing 279

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Moreover, by applying causal AI and topological mapping , a unified observability platform includes all the necessary data in context, making troubleshooting significantly more efficient and effective.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

APRIL 21, 2022

Performance efficiency. In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Performance Efficiency. Design efficient use of your computing resources as demand changes and technologies evolves. Operational excellence. Reliability.

Azure 246

Azure Monitoring Virtualization Metrics 246

Dynatrace

JANUARY 31, 2022

On the left side of the loop, teams plan, develop, and test software in pre-production. Shift-left is the practice of moving testing, quality, and performance evaluation early in the software development process, thus the process of shifting to the “left” side of the DevOps lifecycle. Why shift-right is important.

DevOps 246

DevOps Testing Monitoring Speed 246

Dynatrace

JANUARY 31, 2022

On the left side of the loop, teams plan, develop, and test software in pre-production. Shift-left is the practice of moving testing, quality, and performance evaluation early in the software development process, thus the process of shifting to the “left” side of the DevOps lifecycle. Want to learn more about DevOps?

DevOps 246

DevOps Testing Monitoring Speed 246

Dynatrace

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. Automated release inventory and version comparison. is probably a developer’s “What version are you running?”

Cloud 242

Cloud DevOps Speed Metrics 242

Smashing Magazine

JULY 19, 2021

Maintaining End-To-End Quality With Visual Testing. Maintaining End-To-End Quality With Visual Testing. Testing is a critical part of any developer’s workflow. But often automated tests can be a pain to manage. A Quick Look At Some Of The Types Of Automated Testing. Colby Fayock. 2021-07-19T10:30:00+00:00.

Testing 144

Testing Code Design Strategy 144

The Netflix TechBlog

NOVEMBER 29, 2023

A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region.

Open Source 260

Open Source Software Engineering Internet Internet 260

Dynatrace

MAY 16, 2019

Here’s a quick graphical comparison of the Pivotal Dev-to-Ops ratio, that of the Dynatrace elite category, and the average ratio identified by the survey. Neotys, JMeter, or LoadRunner for load testing. As an industry best practice, we like to refer to Pivotal, the developers of Cloud Foundry.

Innovation 247

Innovation Cloud DevOps Best Practices 247

Scalegrid

JUNE 22, 2020

We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. DigitalOcean. Instance Type. Medium: 4 vCPUs. Medium: 4 vCPUs. MySQL Version.

Database 217

Database Benchmarking Latency Performance 217

The Netflix TechBlog

APRIL 17, 2019

This makes it possible for SVT-AV1 to decrease encoding time while still maintaining compression efficiency. Since that time, Intel’s and Netflix’s teams closely collaborated on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving the compression efficiency.

Open Source 167

Open Source Scalability Speed Efficiency 167

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 276

Cache Azure Infrastructure Monitoring 276

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. Our tests show that even a small number of clients can significantly benefit from using a connection pooler. The architecture of a generic connection-pool.

Architecture 200

Architecture Database Latency Servers 200

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. The SVT-AV1 encoder supports all AV1 tools which contribute to compression efficiency.

Open Source 159

Open Source Efficiency C++ Speed 159

Scalegrid

NOVEMBER 4, 2024

The results will help database administrators and decision-makers choose the right platform for their performance, scalability, and cost-efficiency needs. It simulates high-concurrency environments, making it a go-to for performance testing of PostgreSQL across cloud platforms. You can access the benchmark here: [link].

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

Dynatrace

MARCH 10, 2021

To start, let’s look at the illustration below to see how these two operate in comparison: Also to note on traditional machine learning: by its very nature of operation it is slow and less agile. See Dynatrace for yourself – take test drive with our free trial.

AWS 221

AWS Cloud Artificial Intelligence Innovation 221

Testsigma

MARCH 12, 2021

Robotic Process Automation and Test Automation are two confusing terms in testing processes. Similar to TDD and BDD processes, RPA and test automation seem like a single branch of the test segment which is common to be exchanged in communication during planning. What is Test Automation? Benefits of RPA.

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. In comparison, the API interface for consumer services should be consistent and static regardless of the business requirement iteration.

Mobile 218

Mobile Engineering Infrastructure Scalability 218

SQL Performance

AUGUST 1, 2022

One of the complexities that is of a specific importance to this section is comparisons that potentially involve NULL comparands, such as ones that you use in filter and join predicates. Most operators that you use in such comparisons, including the equals (=) and different than (<>) operators, use three-valued logic.

Servers 142

Servers Testing C++ Code 142

The Netflix TechBlog

JANUARY 24, 2022

Why do we run Performance Tests on commits? By running performance tests against every commit (pre- and post-merge), we can detect potentially regressive commits earlier. What are the Performance Tests? There are roughly 50 performance tests, each one designed to reproduce an aspect of member engagement.

Performance 208

Performance Performance Testing Metrics Testing 208

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. Essentially, this can only be used for whole object comparisons, which has a very limited use case. JSONB stands for “JSON Binary” or “JSON better” depending on whom you ask.

Storage 321

Storage Database Efficiency Processing 321

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. Nevertheless, entry modification is generally less efficient than entry insertion in the majority of implementations. 5) Enumerable Keys. in the set of users that meet the criteria).

Database 279

Database Ecommerce Efficiency Engineering 279

Testsigma

APRIL 12, 2021

With the rise in the development requirement for Android apps, the need for testing Android applications has also increased to sustain in a competitive market. An ideal strategy for testing Android applications includes. Unit Tests – For verifying a minimal unit of source code. Manual Testing. Manual Testing.

Testing 52

Testing Mobile Efficiency Testing Tools 52

Scalegrid

JUNE 21, 2024

Although these mandatory updates usually occur without hitches, they have the potential to bring up compatibility issues that necessitate Testing for a trouble-free experience. This guarantees a rapid experience that can efficiently handle the pressures of intense data traffic and intricate queries.

Database 130

Database Efficiency Strategy Tuning 130

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. bits per unique value. Frequency Estimation: Count-Min Sketch.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Percona

APRIL 28, 2023

Let’s start with a simple introductory comparison: With proprietary (closed source) database software, the public does not have access to the source code; only the company that owns it and those given access can modify it. Now, myths aside, let’s get down to the brass tacks of database comparisons. The list goes on and on.

Open Source 135

Open Source Database Software Software 135

Percona

MARCH 29, 2023

As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. Snappy compression is designed to be fast and efficient regarding memory usage, making it a good fit for MongoDB workloads. provides higher compression rates.

Storage 130

Storage Network Open Source Latency 130

Percona

DECEMBER 11, 2023

This separation aims to streamline transaction write logging, improving efficiency and consistency. It becomes more manageable and efficient by isolating logs and data to a dedicated mount. By segregating transaction logs and harnessing the power of dedicated storage, DLVs contribute to enhanced efficiency and consistency.

AWS 117

AWS Benchmarking Performance Traffic 117

The Netflix TechBlog

DECEMBER 2, 2019

To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. This makes a standard nonparametric Mann-Whitney U test ineffective as well.

Metrics 146

Metrics Strategy Testing Efficiency 146

The Netflix TechBlog

DECEMBER 2, 2019

To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. This makes a standard nonparametric Mann-Whitney U test ineffective as well.

Metrics 143

Metrics Strategy Testing Efficiency 143

Highly Scalable

JUNE 5, 2012

In this article I describe several useful techniques that are based on SSE instructions and provide results of performance testing for Lucene, Java, and C implementations. When this short mask of common elements is obtained, we have to efficiently copy out common elements. return count; }.

C++ 102

C++ Java Performance Testing Efficiency 102

SQL Performance

MARCH 9, 2022

I tested all solutions in this article against the Auctions input table with 100K, 200K, 300K, and 400K rows, and with the following indexes: -- Index to support solution. That’s a pretty efficient plan! Ian’s solution is short and efficient. Peter Larsson’s solution is amazingly short, sweet, and highly efficient.

C++ 138

C++ Code Efficiency Performance 138

Testsigma

AUGUST 28, 2021

We all know that if we are developing something that runs on the web using browsers then cross-browser testing needs to be done. There is another variation of cross-browser testing – cross-device testing. In this article, we will discuss the scenarios when automating your cross-browser testing would be a good idea.

Testing 75

Testing Cloud C++ Operating System 75

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Dynatrace news.

Latency 164

Latency Performance Virtualization Infrastructure 164

The Netflix TechBlog

DECEMBER 2, 2019

To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. This makes a standard nonparametric Mann-Whitney U test ineffective as well.

Metrics 130

Metrics Strategy Testing Efficiency 130

Testsigma

SEPTEMBER 2, 2021

Automated web testing is not a new concept today. With advancements in web development technologies and how complex web codes are written today, web testing was bound to walk this way sooner or later. Factors affecting ROI in automated web testing. First of all, we need people that can perform automated web testing.

Strategy 71

Strategy Testing Cloud Virtualization 71

Testsigma

MAY 26, 2021

In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing. The steps will be: Create and store the test data in a data repository.

Testing 70

Testing Healthcare Performance Testing Website 70