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. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Speed Curve

MARCH 7, 2022

How does page bloat affect other metrics, such as Google's Core Web Vitals? These numbers should not be taken as a benchmark for your own site. JavaScript is a massive CPU hog, so this is concerning, especially if your users are on older devices with less processing power. (If How does page bloat hurt your business?

Mobile 145

Mobile Benchmarking Google Metrics 145

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

Dynatrace

NOVEMBER 22, 2022

Five-nines availability: The ultimate benchmark of system availability. Complicating the situation further, increasingly connected services are pushing more data processing to the edge. Gartner estimates that less than half of enterprise-generated data is now created and processed in data centers or the cloud.

Infrastructure 179

Infrastructure Availability Systems Retail 179

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 110

Availability Database Open Source Hardware 110

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Another window into this question is provided by the Web Confluence Metrics project.

Media 145

Media Games Education Engineering 145

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. Since then, the metrics conversation has moved forward significantly, culminating in Core Web Vitals , reported via the Chrome User Experience Report to reflect the real-world experiences of users. Advances in browser content processing.

Performance 124

Performance Network Cache Metrics 124

Speed Curve

JULY 3, 2023

That's because video seems to have had a surge in growth, which should be a cause of concern for anyone who cares about metrics like Largest Contentful Paint, which measures the largest visual element on a page – including videos. These numbers should not be taken as a benchmark for your own site. More on that below.)

Mobile 52

Mobile Google Metrics Retail 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. RDS also simplifies the process of automatic scaling based on workload demand, adding or subtracting replicas to efficiently distribute read requests and reduce costs during low demand.

AWS 52

AWS Database Serverless Storage 52

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices.

Performance 68

Performance Benchmarking Network Mobile 68

ACM Sigarch

OCTOBER 25, 2018

While throughput performance is important, especially in data-centers, single threaded performance remains a pivotal metric for a large swath of application domains (HPC, Finance etc.). Over the last two decades, processor designers have extracted significant performance by leveraging architectural solutions and process innovations.

Architecture 67

Architecture Technology Technology Innovation 67

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. Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations.

Servers 40

Servers Cache Media Hardware 40

Percona

NOVEMBER 3, 2023

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) In order to speed up the benchmark indexes must be added. psql pgbench <<_eof1_ qecho adding node citus3.

Database 107

Database Benchmarking Latency C++ 107

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. 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., On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Locks used for strong consistency across processes. Document store.

Architecture 52

Architecture Cache Azure Storage 52