Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Optimize timing hotspots.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

NOVEMBER 22, 2022

Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. What is always-on infrastructure?

Infrastructure 188

Infrastructure Availability Systems Retail 188

Tech News Gather

AUGUST 25, 2022

If you hear tech enthusiasts highlighting that Flutter app development is at the peak of gaining tremendous traction, then it may not be a false statement. The open-source UI toolkit has been recording intense popularity among app developers. Flutter’s value in the mobile app development industry is incredibly increasing.

Development 52

Development Hardware Mobile Open Source 52

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. The insights you can gain by testing the limits of your applications deliver a lot of benefits for your development teams and your overall business.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. I’m sure your frontend developers already have their tools and techniques in place. Reducing performance and architectural issues in their backend system gave them a 99% performance improvement! You may ask: How is this possible?

Cache 201

Cache Architecture Database Government 201

The Netflix TechBlog

APRIL 17, 2019

It’s a nice building with good architecture! What does this example have to do with software development and video encoding? Scalable Video Technology (SVT) is Intel’s open source framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. What is SVT-AV1?

Open Source 166

Open Source Scalability Speed Efficiency 166

O'Reilly

AUGUST 4, 2022

At best, this is a false summit on the right path; at worst, it’s a local maximum far from AGI, which lies along a very different route in a different range of architectures and thinking. GPT-3, for example, developed its language model based on 45TB of text. We typically underappreciate how complex such systems are.

Games 103

Games Social Media Hardware Architecture 103

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Optimize timing hotspots.

Serverless 143

Serverless Azure Monitoring Lambda 143

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. There’s some work on hardware proposals for these systems, like Zhu et al., Are caches large enough for this code?

C++ 108

C++ Benchmarking Hardware Architecture 108

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. A History of Architecture Support for Security. The figure above provides a timeline of architectural support for practical defenses, as found in commercial products.

Hardware 98

Hardware Virtualization Architecture Games 98

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 84

Database Hardware Open Source Strategy 84

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. These feedback loops allow you to develop more accurate assessments when deploying new versions or updates related to Redis® infrastructure.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

DECEMBER 27, 2023

In our conversations with developers and engineers during the conference, we confirmed the CNCF GItOps Microsurvey data – 91% are already using GitOps. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 76

Cloud Open Source Strategy Best Practices 76

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge In order to speed up the benchmark indexes must be added. A future blog will continue my exploration into Citus by scaling out pgbench into other architectures.

Database 101

Database Benchmarking Latency C++ 101

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person!

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

NOVEMBER 10, 2019

Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol. ” That’s 4-8x the speed of evolution and feedback cycles. To get that release speed, Snap needs to be a user space solution. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

OCTOBER 22, 2019

Thread dumps allow Java developers to understand which threads execute which code and whether or not certain threads are waiting or locked. However, thread dumps are a point-in-time snapshot that can’t notify you of trends or how things are developing. Locking is the Achilles heel of any multi-threaded architecture.

Java 103

Java Scalability Hardware Architecture 103

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network.

Architecture 52

Architecture Cache Azure Storage 52

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. It's clear that developers are out of touch with market ground-truth , but it's not obvious why. That's where the good news ends.

Performance 90

Performance Network Mobile Speed 90

The Morning Paper

FEBRUARY 27, 2020

If Gandalf doesn’t like what that data is telling it, it will pause a rollout and send an alert to the development team. memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Testsigma

FEBRUARY 5, 2021

If you’re a developer, a web designer, or a QA manager, you would want to ensure that your product delivers as promised. The high tech lab is remotely operational and specifically targets device behaviour in terms of speed, memory usage, and battery consumption. Testsigma’s mobile testing lab comes with pre-configured architectures.

Mobile 52

Mobile Testing Hardware DevOps 52

ACM Sigarch

OCTOBER 25, 2018

Over the last two decades, processor designers have extracted significant performance by leveraging architectural solutions and process innovations. So does this mean the current generation of out-of-order architecture is approaching fundamental limits in ST performance? to extract ILP during execution. CMOS Limitations.

Architecture 67

Architecture Technology Technology Innovation 67

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Very Well!”

Hardware 56

Hardware Latency Virtualization Cloud 56

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Alex Russell

MARCH 6, 2021

Meanwhile, developer behaviour offers little hope: Median mobile JavaScript payloads have only grown since 2016, now hovering above 400KiB of script transferred, or nearly 2.5MiB of uncompressed JS. Hardware Past As Performance Prologue. Compared to devices wealthy developers carry, the performance is night and (blinding) day.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

JULY 14, 2015

Many happy developers are using DynamoDB to handle trillions of requests every day. In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale.

Database 167

Database Lambda AWS IoT 167

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Types of cloud-based solutions.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Sutter's Mill

FEBRUARY 13, 2017

.” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 51

Latency C++ Hardware Performance 51

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. The idea that preventing browser innovation is pro-user is particularly risible, leading to entirely avoidable catch-22 scenarios for developers and users.

Hardware 64

Hardware Mobile Programming Java 64

Testsigma

JULY 25, 2020

Continuous Testing is the testing strategy to fast-track the testing required for achieving rapid software development using Agile and DevOps methodologies. Continuous Testing is the process of testing at all stages of software development – one after the other – without any human intervention. What is Continuous Testing?

Testing 55

Testing DevOps Performance Testing Infrastructure 55

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Very Well!”

Hardware 40

Hardware Latency Virtualization Cloud 40

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40