SQL Performance

MARCH 17, 2020

This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). Implementing the current requirement using that technique is quite straightforward, though the code is necessarily longer than anything we have seen up to this point: WITH R AS. ( As a reminder, the previous serial plan took 115ms.

Servers 86

Servers Tuning Database Efficiency 86

The Morning Paper

JANUARY 30, 2020

Wasm functions contain native codes compiled at runtime, so they should not be directly migrated as normal JavaScript objects. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). The MWW System prototype is implemented in Chrome for the browser, and Node.js

Mobile 104

Mobile Cloud Latency Games 104

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 273

Serverless AWS Lambda Storage 273

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. Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular.

Code 212

Code Metrics Efficiency Open Source 212

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. In FaaS environments, providers manage all the hardware. million in 2020.

Serverless 214

Serverless Azure Hardware Transportation 214

Percona

OCTOBER 18, 2023

You can tailor the database to meet your precise requirements by modifying the source code, adding extensions, or customizing configurations. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. And finally… budgets.

Open Source 90

Open Source Database Hardware Strategy 90

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " A tenant should not be able to see the code or data of other tenants (isolation).

Serverless 99

Serverless Storage Latency Cloud 99

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. These include data transfer (i.e. Write CSS Like Your Grandmother.

Website Performance 74

Website Performance Website Energy Performance 74

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

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 190

Best Practices Storage Java Benchmarking 190

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Mental contortions led to code contortions led to frustration.

Hardware 101

Hardware Storage Big Data Blockchain 101

Percona

FEBRUARY 24, 2023

These color-coded states on panels are available in PMM 2.32.0 Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning.

Cloud 116

Cloud Serverless AWS Storage 116

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. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Accelerated innovation.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Developers can easily share and access code and other resources regardless of their location.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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

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 105

Availability Database Open Source Hardware 105

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Chrome has missed several APIs for 3+ years: Storage Access API. These TransformStream types help applications efficiently deal with large amounts of binary data. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

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. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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. Circa '07, those web apps were notably slower than native code could be. New low-end devices are 4-to-8 core, 2GHz systems with 2GiB of RAM.

Hardware 64

Hardware Mobile Programming Java 64

The Morning Paper

MAY 28, 2019

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. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

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

Dynatrace

AUGUST 5, 2019

There is no code or configuration change necessary to capture data and detect existing services. 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.

Cloud 31

Cloud Traffic Database Network 31

Brendan Gregg

SEPTEMBER 5, 2017

It uses a Solaris Porting Layer (SPL) to provide a Solaris-kernel interface on Linux, so that unmodified ZFS code can execute. There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. It is also not desirable to modify the code in order to implement it at the query level, given the possible impact of doing that in cost and time.

Tuning 44

Tuning Virtualization Testing Servers 44

Alex Russell

OCTOBER 22, 2017

For this page to be done loading it needs to be responsive to user input — the “interactive” in “Time to Interactive” Browsers process user input by generating DOM events that application code listens to. The gzip compression factor for JS code is between 5x and 7x. Execute the script.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

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. However, producing a complete and competitive WebView-based browser requires additional UI and glue code. Hardware access APIs, notably: Geolocation.

Google 121

Google Mobile Engineering Internet 121

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 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? The first render tends to warm up a bunch of lazily compiled code, which a larger tree can benefit from when it scales.

Performance 104

Performance Cache Metrics Network 104