The Netflix TechBlog

FEBRUARY 13, 2020

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. High-Efficiency Video Coding ( HEVC ) is the successor of H.264, 264, a.k.a.

Code 212

Code Metrics Efficiency Open Source 212

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 84

Database Hardware Open Source Strategy 84

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Don’t pay for capacity you don’t use or need.

Cloud 115

Cloud Serverless AWS Storage 115

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 104

Availability Database Open Source Hardware 104

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. The NOPM Metric. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

MAY 28, 2019

So it’s interesting to see a paper using nano-Joules per prediction as an evaluation metric. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT.

Energy 52

Energy Hardware Efficiency Architecture 52

Percona

DECEMBER 14, 2022

But while eminently capable of performing OLAP, it’s not quite as efficient. The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. The complete CITUS feature set which, except for the Columnar storage component, is not covered in this blog, includes: Distributed tables.

Database 92

Database Analytics Storage Processing 92

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). Optane DIMMs have lower latency and higher bandwidth than storage devices connected over PCIe (including Optane SSDs), and present a memory address-based interface as opposed to a block-based NVMe interface. FAST’20. Optane DIMMs are here!

Scalability 59

Scalability Latency Cache Media 59

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. is access to hardware devices.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data version can be specified by a timestamps or application-specific metric.

Database 213

Database Latency C++ Scalability 213

Smashing Magazine

JANUARY 15, 2019

The key metric for measuring the sustainability of a digital product is its energy usage. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. “You Can’t Manage What You Can’t Measure”. These include data transfer (i.e. Sustainable Web Design.

Website Performance 73

Website Performance Website Energy Performance 73

All Things Distributed

JANUARY 18, 2012

In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s pricing is simple and predictable: Storage is $1 per GB per month. The growth of Amazonâ??s Domain scaling limitations. Amazon DynamoDBâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Optimize Query Performance and Data Storage Cost. Extract less critical data into a cheaper database storage option. Optimize the performance of key queries.

Cloud 31

Cloud Traffic Database Network 31

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

High Scalability

NOVEMBER 25, 2019

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. 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.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 104

Performance Cache Network Metrics 104

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Efficient lineage tracking is not a trivial problem. Interoperability with Hadoop. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

Alex Russell

OCTOBER 22, 2017

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. Teams with budgets also find it easier to track and graph progress.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

This reduces friction and commensurately increases "engagement" metrics. [6]. Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. Web Bluetooth.

Google 121

Google Mobile Engineering Internet 121