The Morning Paper

MAY 23, 2019

Last time out we saw how Google have been able to save millions of dollars though memory compression enabled via zswap. … to realize these insights, hardware needs to access data at object granularity and must have control over pointers between objects. It also reduces memory traffic by 56% and improves performance by 17%.

Cache 61

Cache Benchmarking Hardware Java 61

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. they are never really idle. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Alex Russell

JULY 14, 2021

Meanwhile, on Android, the #2 and #3 sources of web traffic do not respect browser choice. Google's Search App and Facebook's various apps for Android undermine these choices in slightly different ways. [3] Developers also suffer higher costs and reduced opportunities to escape Google, Facebook, and Apple's walled gardens.

Google 121

Google Mobile Engineering Internet 121

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Test how user-friendly an application is: Google search engine gives high priority to websites in comparison to desktop apps. Google ranks applications based on how user friendly it is.

Mobile 52

Mobile Testing Website Internet 52

KeyCDN

AUGUST 15, 2019

Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What Are the Benefits of Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. DSPs and SSPs need to filter out low-value data quickly and cost-efficiently to free up capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. DSPs and SSPs need to filter out low-value data quickly and cost-efficiently to free up capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Terabyte of wasted traffic. Do you really need Google Analytics on every site you build? Hardware And E-Waste. Making performance improvements to a client’s site could result in happier clients who send more business our way.

Strategy 124

Strategy Development Energy Website 124

KeyCDN

SEPTEMBER 20, 2018

Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. Source: Google Keep in mind that not all code errors are noticeable to users. How is Error Tracking Useful?

Strategy 67

Strategy Monitoring Website Google 67

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

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center?

Cloud 31

Cloud Traffic Database Network 31

Smashing Magazine

JANUARY 11, 2021

Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

AUGUST 22, 2021

One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. One of the reasons Google saw very good 0-RTT results for QUIC was that it tested it on its already heavily optimized search page, where query responses are quite small. Congestion Control. What does it all mean?

Performance 106

Performance Network Latency Servers 106

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Lighthouse , a performance auditing tool integrated into DevTools.

Performance 104

Performance Cache Network Metrics 104

Alex Russell

OCTOBER 22, 2017

Our metrics at Google show a conflicted picture (which I’m working to get to clarity on). Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us. The median user is on a slow network.

Performance 68

Performance Benchmarking Network Mobile 68