Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) What are Some Common SRE Responsibilities? On-call Support.

Engineering 67

Engineering DevOps Monitoring Google 67

The Morning Paper

FEBRUARY 18, 2020

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. Models themselves must be subject to scrutiny with their storage and querying/scoring secured and auditable. And there’s going to be a lot of them! It is built on top of Apache Calcite.

Government 95

Government Software Engineering Storage Database 95

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

Servers 90

Servers Media Cache Storage 90

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

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

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. This paper is a real joy to read. In practice, however, achieving high availability is challenging. Before and After.

Database 106

Database AWS Network Design 106

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? Performance Budgets, Pragmatically shows you a strategy to achieve that. Large preview ).

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? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are?

Performance 104

Performance Cache Metrics Network 104

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

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left. This is followed by some common code related failure modes.

Latency 52

Latency Engineering Systems Hardware 52

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

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left. This is followed by some common code related failure modes.

Latency 53

Latency Engineering Systems Hardware 53

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. 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.

Performance 68

Performance Benchmarking Network Mobile 68

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

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 102

Hardware Storage Big Data Blockchain 102

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 137

Cloud Big Data AWS Analytics 137