Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

DZone

DECEMBER 27, 2020

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. Let’s say your application is making network calls to external applications.

Operating System 211

Operating System Hardware Network Systems 211

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Additionally, cloud computing allows for greater collaboration and innovation, as it enables users to access and share data and resources from anywhere, at any time. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

DZone

MARCH 27, 2020

Generally, we can say that: Web services are packet sized applications that communicate with each other via network but in a precise format. The output of one software used as an input to another reciprocally and the whole process executed with interface language like XML. Web Service and Mobile App Testing.

Mobile 147

Mobile Testing Hardware Network 147

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. This enables email message processing in a quick and reliable way, even during periods of heavy network congestion. Dynatrace news.

Monitoring 196

Monitoring Serverless Programming Speed 196

Testsigma

JUNE 3, 2021

The software will never be bug-free. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. Software errors.

Software 82

Software Software Testing Hardware 82

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. This enables email message processing in a quick and reliable way, even during periods of heavy network congestion. Dynatrace news.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

SEPTEMBER 22, 2021

and, just like other software or hardware products, DNA runs internal testing groups where employees can beta test new devices and give feedback so that any annoying usability issues are addressed before hitting the mass market. Crashes sometimes happen because of a specific combination of hardware, software and the environment (e.g.,

Mobile 189

Mobile Media Hardware Network 189

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

NOVEMBER 2, 2023

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. In modern cloud environments, every piece of hardware, software, cloud infrastructure component, container, open-source tool, and microservice generates records of every activity.

Cloud 217

Cloud Infrastructure Strategy Hardware 217

The Netflix TechBlog

NOVEMBER 9, 2021

The Android launch leveraged the open-source software decoder dav1d built by the VideoLAN, VLC, and FFmpeg communities and sponsored by AOMedia. We were very pleased to see that AV1 streaming improved members’ viewing experience, particularly under challenging network conditions. TV manufacturers released TVs ready for AV1 streaming.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

OCTOBER 28, 2021

Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior. Chaos engineers ask why. The history of chaos engineering.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Percona

FEBRUARY 9, 2023

You need to ensure that you are backing up all the data. Or did you shut down a project that no longer needs to be part of the backup procedure, at least after rigorous data archiving? Third, double-check the version of the software that is in use. First, how are your backups?

Database 93

Database Open Source Hardware Operating System 93

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Collect this data over time to calculate an average MTTR score. Mean time to recovery (MTTR) measures the entire amount of time it takes to get a downed network or system back up and running. MTTF measures the reliability of a network and durability of its hardware.

DevOps 204

DevOps Artificial Intelligence Metrics Network 204

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions.

Lambda 178

Lambda AWS Serverless Hardware 178

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. Reduced cost.

Cloud 163

Cloud Traffic Best Practices Strategy 163

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Strategically, IT doesn't matter. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

ACM Sigarch

APRIL 26, 2018

They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. FPU: Floating Processing Unit (FPU).

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Testsigma

APRIL 13, 2021

During compatibility testing of an application, we check the compatibility of the application with multiple devices, hardware, software versions, network, operating systems, and browsers, etc. The app should support the software components like APIs, videos, voice, images, etc. Types of compatibility testing.

Testing 84

Testing Hardware Mobile Testing Tools 84

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

Tech News Gather

JUNE 30, 2023

Introduction In today’s data-driven world, Geographic Information System (GIS) technology plays a pivotal role in numerous industries, revolutionizing decision-making processes and providing valuable insights into spatial data. These applications can range from simple map viewers to complex spatial analysis tools.

Technology 52

Technology Technology Development Retail 52

Testsigma

OCTOBER 28, 2021

Rahul Parwal is a software engineer, speaker, mentor, and writer out of Jaipur, Rajasthan. He has dabbled in software development, testing, and automation, and often shares his learnings in his blog. Lesson: Test your software in real user conditions. There were gaps in the mocked simulated data and the actual production data.

Engineering 96

Engineering Hardware Software Engineering Testing 96

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? The initial results show that learned data structures can outperform existing data structures. This has far-reaching implications how future data systems and algorithms will be designed. p = F(Key) ?

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought provoking.

Performance 140

Performance Latency Hardware Storage 140

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 106

Performance Monitoring Traffic Database 106

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. NETWORK METRICS sysstat_net_ens260f1_rx_kB/s 38,241 22,700 1.68

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

CSS Wizardry

OCTOBER 27, 2018

Things always always feel fast when we’re developing because, more often than not, we’re working on high-spec machines on dedicated networks, and also serving from localhost which removes the bulk of the latency and bandwidth issues that a real user would suffer. The reason I refer to this as Proactive testing is becasue we generally do.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Testsigma

SEPTEMBER 23, 2021

During upgrade or maintenance, the devices are updated either with software or hardware. software and hardware installation upgrades wear and tear. The whole environment, devices, network, servers – everything is owned by a service provider. Maintenance. Thus, you save on time, human effort as well as cost.

Cloud 96

Cloud Testing Infrastructure Internet 96

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought-provoking.

Performance 52

Performance Latency Hardware Storage 52