Dynatrace

NOVEMBER 22, 2022

With so many variables in modern application delivery, organizations need an always-on infrastructure to deliver continuous system availability, even under peak loads. 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

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? Read report now!

Cloud 181

Cloud Open Source Architecture Monitoring 181

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Testlodge

APRIL 14, 2021

A software tester’s work life includes making sure that systems that have been designed to achieve specific results behave exactly as they should. These systems are a combination of different hardware and software which have been configured to perform the desired task. An Example. Types of Configuration Testing.

Testing 89

Testing Hardware Virtualization Operating System 89

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

APRIL 5, 2021

You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using.

Lambda 183

Lambda AWS Serverless Hardware 183

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. Without data backup mechanisms, there can be data loss or system downtime.

Database 85

Database Hardware Open Source Strategy 85

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. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. monitoring distributed systems becomes much more difficult to carry out and manage. Today, there are a variety of architectures and systems in use. Software and hardware components are autonomous and execute tasks concurrently. Multi-Tier. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc.

Engineering 137

Engineering Serverless Lambda AWS 137

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains.

Cache 251

Cache Latency Airlines Logistics 251

Dynatrace

JUNE 7, 2019

For detailed prerequisites, hardware requirements, and installation guidelines, see our help page for browser monitors in private locations. Q: Is there a plan to support more operating systems? Support for newer versions of these systems will be introduced as well. A: It all depends on your internal network architecture.

Network 160

Network Monitoring Servers Hardware 160

The Agile Manager

SEPTEMBER 30, 2020

IBM had launched the trademarked Personal Computer in 1981 using an open architecture of widely available components from 3rd party sources such as Intel and the fledgling Disk Operating System from an unknown firm in Seattle called Microsoft. In 1987, IBM introduced a new product, the Personal System/2.

Hardware 52

Hardware Social Media Media Strategy 52

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. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. And this all has to work for whole-system executions, not just the C-language portion of user processes.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Testsigma

FEBRUARY 5, 2021

Once you have chosen your target devices, consider the architectural aspect of your hardware. The obvious takeaway of embracing automation testing for mobile apps is that you simultaneously test a wide range of devices, operating systems, and network types. Device Infrastructure. Automated Testing. CI/CD Integration.

Mobile 52

Mobile Testing Hardware DevOps 52

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia.

Architecture 12

Architecture Hardware Cache Storage 12

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

ACM Sigarch

AUGUST 20, 2018

We are used to instances of software running on different computer systems as long as some basic requirements are met (e.g., same instruction set architecture, same operating system, etc.). Similarly, we expect that most computer systems can read (and write) data that is stored in some memory.

Hardware 47

Hardware Operating System Architecture Software 47

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. The paper focuses on two key use cases: A confined component running in its own security domain, connected to the rest of the system by explicit (e.g.

Hardware 44

Hardware Cache Latency Speed 44

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s now look at the operating system level. Why should you care? Not all writes are equal either.

Benchmarking 46

Benchmarking Database Operating System Architecture 46

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

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. Thus, APM and RUM work together to help developers create applications that are reliable and user-friendly.

Strategy 72

Strategy Metrics Monitoring Servers 72

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

O'Reilly

JULY 15, 2020

If you combine the different architectural roles—i.e., software and systems architects, technical leads—architects represent almost 28% of the sample. Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). Figure 2: Respondent industries.

Database 135

Database Architecture Education Systems 135

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. Fast forward a decade, and both the software and hardware situations have changed dramatically. Don't like the consequences?

Hardware 64

Hardware Mobile Java Programming 64

SQL Server According to Bob

JANUARY 11, 2020

Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations. Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Nick Desaulniers

APRIL 6, 2020

halt (); Some sort of very early exception handler; better to sit busy in an infinite loop than run off and destroy hardware or corrupt data, I suppose. Jann Horn gets back to me first: Can you use QEMU to look at the hardware frame (which contains values pushed by the hardware in response to the page fault) in early_idt_handler_common?

C++ 67

C++ Hardware Code Virtualization 67

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

Testsigma

MAY 19, 2021

Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. These may include operating systems and other software on the machine. Source: Twitter. You can learn more about SaaS through this link.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions.

Availability 31

Availability Hardware Java Tuning 31

Testsigma

FEBRUARY 6, 2020

It will help in enhancing the application design or architecture in a way that reliability and fast response time is ensured. Unlike Stress Testing, abnormal conditions are not tested, only the expected load i.e. the load that application is expected to face in the real world is tested on the system. Manual and Automation Testing.

Software 69

Software Software Testing Scalability 69

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions.

Availability 25

Availability Hardware Java Tuning 25

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Testsigma

FEBRUARY 12, 2021

Just a manual testing approach would not suffice for today’s wired devices and dynamic architectural applications of Industry 4.0. Given the wide variety of computers, operating systems, and browsers currently available to consumers, testing these variations is important for testers to work.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54