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. Dynatrace news. Testing for mishaps you can predict is essential. So, the organization sought to reduce complexity and raise production quality.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

The Netflix TechBlog

APRIL 17, 2019

It’s a nice building with good architecture! Scalable Video Technology (SVT) is Intel’s open source framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. The open-source encoder should also enable easy experimentation and a platform for testing new coding tools.

Open Source 166

Open Source Scalability Speed Efficiency 166

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. 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. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). It also detects new containers and injects OneAgent code modules into application pods.

Architecture 170

Architecture Availability Infrastructure Monitoring 170

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Some APM solutions can monitor code during development to ensure performance. What is real user monitoring (RUM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

Adrian Cockcroft

JUNE 21, 2022

I also learned a lot about how to work directly with customers, when to shut up and let the sales guy drive the conversation, and generally how technology sales works. I still code in R… One role I had for many years was to lead technical training events for the global specialist systems engineers, which we called the Ambassador Program.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

FEBRUARY 18, 2020

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. Flock is Microsoft’s reference architecture built to explore these ideas. EGML requirements. The key insight this led to is that ML models are software , derived from data.

Government 95

Government Software Engineering Storage Database 95

CSS - Tricks

JULY 25, 2019

To understand how these changes affect us from a performance perspective, we need to grasp the underlying technology. If you’re interested in a high-level overview of Lighthouse architecture, read this guide from the official repository. This approach is known as code splitting and is extremely effective in improving TTI.

Google 71

Google Engineering Speed Mobile 71

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 265

Serverless Infrastructure Innovation DevOps 265

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. It uses many possible geo-location attributes extracted from device fingerprint including country, state, city, zip-code, latitude, and longitude.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. Understand and optimize your architecture. Dynatrace news.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

MAY 1, 2020

We anticipate massive growth in the popularity of this architecture in the coming quarters, driven additionally by companies’ push for cost reductions. We’re therefore happy to announce the Early Adopter release of OneAgent full-stack monitoring for Linux on the ARM 64-bit AArch64 architecture with OneAgent version 1.191.

Java 133

Java Hardware Tuning Metrics 133

Highly Scalable

AUGUST 20, 2013

In addition, we survey the current and emerging technologies and provide a few implementation tips. If something goes wrong, one could need to rerun the system on the problematic data with better logging or with code alternations. The article is based on a research project developed at Grid Dynamics Labs.

Big Data 154

Big Data Processing Lambda Database 154

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 209

Analytics Monitoring Artificial Intelligence DevOps 209

Scalegrid

DECEMBER 6, 2023

Despite those minor challenges posed by this platform, many individuals are turning towards considering using the DBaaS Model partly because they understand considerable advantages lie underneath implementing & utilizing such technology within their systems. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. Understand and optimize your architecture. Dynatrace news.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 109

Availability Database Open Source Hardware 109

Dynatrace

OCTOBER 28, 2020

It covers the whole range of technologies, from bleeding-edge cloud platforms down to the mainframe. We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. Automate and save time!

Monitoring 146

Monitoring Systems Infrastructure Cloud 146

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. The main benefits of serverless architecture are cost savings and scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges.

Availability 84

Availability Open Source Architecture Database 84

ACM Sigarch

JULY 17, 2023

However, as technology nodes have scaled, there have been several fundamental physical challenges to overcome to provide the abstraction of reliability. An example of a specification is the correct operation of the hardware of a microprocessor. Overview Reliability is essential for computing. Each fault has a root cause.

Energy 52

Energy Hardware Best Practices Architecture 52

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

DECEMBER 20, 2019

We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest release twice a year. Automate and save time!

Infrastructure 134

Infrastructure Cloud Monitoring Government 134

The Netflix TechBlog

DECEMBER 23, 2020

Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. Many bulkhead architectures partition their cells on tenants, where a tenant is defined as a team and their collection of applications. Let’s go back to that kernel code example earlier. User Namespaces.

Media 286

Media Metrics Systems Processing 286

Tech News Gather

AUGUST 25, 2022

Today, this technology marks a total of 42% of flutter users (one-third of the mobile app developers) while the rest are influenced by native tools. The technology is an open-source platform, making it simple to understand and work with, improving productivity and efficiency. Write clear and understandable code. Hardware Costs.

Development 52

Development Hardware Mobile Open Source 52

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Today, there are a variety of architectures and systems in use. Over time, that has evolved into something different. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

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 closer one looks, the less a definition of "appiness" can be pinned down to specific technologies.

Hardware 64

Hardware Mobile Programming Java 64

All Things Distributed

JULY 14, 2015

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. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 167

Database Lambda AWS IoT 167

O'Reilly

JULY 15, 2020

If you combine the different architectural roles—i.e., Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). What share of the systems they’re deploying or maintaining are built to microservices architecture? Figure 2: Respondent industries.

Database 136

Database Architecture Education Systems 136

Testsigma

FEBRUARY 6, 2020

” With the advent of new technologies and new software being released every day, software testing is gaining more strength and accolades. Testing and development are going hand in hand for a faster release in this Agile world. ” In Static Testing, code is not executed. ” In Dynamic Testing, the code is executed.

Software 69

Software Software Testing Scalability 69

ACM Sigarch

AUGUST 20, 2018

same instruction set architecture, same operating system, etc.). This interoperability has been a driver of the widespread adoption of information technology platforms. For example, apps for certain hardware platforms are only available through a single storefront. What does a world of individualized software and data look like?

Hardware 47

Hardware Operating System Architecture Software 47

ScaleOut Software

APRIL 22, 2020

A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. Moving code to where the data lives accelerates processing while minimizing network usage. The Solution: Distributed Caching. Distributed Caches Can Help Now.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. Moving code to where the data lives accelerates processing while minimizing network usage. The Solution: Distributed Caching. Distributed Caches Can Help Now.

Cache 52

Cache Storage Servers Database 52