The Netflix TechBlog

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! Dynatrace news.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. In production, containers are easy to replicate.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. A good proxy metric for the overhead introduce by the system is the promotion rate : the rate of swapping pages from far memory to near memory.

Software 78

Software Software Google Hardware 78

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

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! Dynatrace news.

Serverless 140

Serverless Azure Monitoring Lambda 140

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform. DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32

Performance 54

Performance Benchmarking Cache Storage 54

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. Disk measurements with per-disk resolution.

Availability 31

Availability Hardware Java Tuning 31

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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. Disk measurements with per-disk resolution.

Availability 25

Availability Hardware Java Tuning 25

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dotcom-Montior

OCTOBER 12, 2017

Software used in the showcase. Software used in the showcase: Dynatrace SaaS – Monitoring Platform from Dynatrace. Verify hardware sizing. Make application tuning much easier. Fetch important Dynatrace performance metrics via Dynatrace Rest API and add those metrics to the test report. Result Analysis.

AWS 40

AWS Tuning Monitoring Servers 40

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. can you be sure that it scales?

Benchmarking 40

Benchmarking Database Social Media Scalability 40

SQL Server According to Bob

JANUARY 11, 2020

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. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites.

Open Source 279

Open Source Network Infrastructure Big Data 279

High Scalability

NOVEMBER 25, 2019

Eventually, we resorted to caching the events in memory for a short duration and also tuning the GC settings on those nodes as we are doing a lot of young generation collections. We also generate quite a bit of internal application metrics using a home grown framework. How are software and hardware upgrades rolled out?

Architecture 52

Architecture Cache Azure Storage 52

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. We’ll see it in banking.

Games 116

Games Healthcare Processing Retail 116

Smashing Magazine

AUGUST 22, 2021

For web-page loading, this slow-start approach can also affect metrics such as the first contentful paint, because only a small amount of data (tens of to a few hundred KB) can be transferred in the first few round trips. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow.

Performance 105

Performance Network Latency Servers 105