Whileone Tech Space

Network testing tools such as netperf can perform latency tests plus throughput tests and more. In netperf, the TCP_RR and UDP_RR (RR=request-response) tests report round-trip latency. With the -o flag,  output metrics can be customized to display the exact information. Here’s an example of using the test-specific -o flag so netperf outputs several latency statistics: Google has lots of practical experience in latency benchmarking and as per blog  using-netperf-and-ping-to-me

In a rapidly changing world, to keep the audience glued to websites, designs are frequently changed, and more features are constantly added. As such, rapid shipping is the norm. When designs change frequently, or new components get added, a system/workflow needs to be in place to enable such rapid changes. ​ Our cases: ​ Challenges: ​ Enabling development of frontend components and viewing those components with multiple themes during development. Enabling component UI/UX revi

Complex computing environments, spanning cloud, HPC, AI, and edge workloads; observability is no longer optional. With multiple layers of hardware and software working together, traditional monitoring alone cannot surface the insights needed for optimizing performance or preventing downtime. At Whileone Techsoft Pvt. Ltd. , we help companies go beyond monitoring by building deep observability frameworks that connect performance benchmarking , system analytics , telemetry , an

JetStream is a JavaScript benchmark suite that evaluates web application performance by measuring the execution latency and throughput of complex workloads. With the release of JetStream 2.2, we at WhileOne Techsoft undertook the task of migrating its harness to a modern Node.js-based setup . Recently while working with a customer who was looking to benchmark their CPU using some js workloads. This post dives into why we did it, how we did it, and what you can expect from th

1. Introduction In today’s fast-paced digital world, system performance is critical to the success of applications ranging from cloud computing platforms to high-performance computing (HPC) workloads. Performance modelling is a powerful technique used to predict, analyze, and optimize the efficiency of computing systems. By simulating and understanding system behavior, developers, engineers, and IT managers can make informed decisions about design, scaling, and optimization s

In today’s software-driven world, ensuring the seamless performance of applications under varying workloads is a necessity. For performance testing, tools like NeoLoad  empower testers to simulate real-world conditions and optimize application behavior. In this blog, we’ll delve into the practical use of NeoLoad for WebFocus performance testing , focusing on scenarios like chart rendering, page loads, data uploads, and resource utilization. Understanding the Scope of Performa

With the evolution of hardware design and development, two tools have become fundamental for those working on Instruction Set Architectures (ISA) QEMU and FPGA boards. Although both serve as key resources for developing, testing, and experimenting with different ISAs (such as RISC-V, ARM, x86, etc.), they operate in significantly different ways. This blog highlights the key distinctions between QEMU and FPGA boards and their use cases across various architectures. Key Feature

A debugging tool, GCeasy is used while generating reports of performance engineering.

In the first part of the blog, we described the problem that we intend to solve, the data gathering, post processing, and generating the final training data. In the 2nd part, we will take a look at the Machine Learning model we used for training and for inference with new data. Correlation between various counters We have captured various counters for various benchmarks. Here is a graph that shows the correlation between each counter with every other counter. ​ K Neighbors Re

This blog is the first part of the series in "Server Performance Prediction using Machine Learning Models" OVERVIEW: In the semiconductor industry, a Silicon Cycle takes nearly a year or more from conception to the silicon being available. As soon as the concept comes in, there is immense pressure on the marketing and sales teams to come up with performance numbers for this new generation of the silicon i.e. processor. There is a need for a way to find out what the score coul

Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. The open source project is hosted by the Cloud Native Computing Foundation (CNCF).So if you are a developer and not familiar with kubernetes CLI, then the kubernetes client will help you to interact w

Basic Linear Algebra Subprograms(BLAS) and BLAS Like Interface Software(BLIS) are libraries that can accelerate mathematical operations on current CPU microarchitectures. As a part of the FLAME project , BLIS was introduced to handle the dense linear algebra software stack. The framework was designed to isolate essential kernels of computation that, when optimized, immediately enable optimized implementations of most of its commonly used and computationally intensive operatio