Scalegrid

FEBRUARY 1, 2024

MySQL is a popular open-source relational database management system for online applications and data warehousing. However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system.

Best Practices 130

Best Practices Storage Strategy Database 130

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

The Netflix TechBlog

NOVEMBER 9, 2021

The Android launch leveraged the open-source software decoder dav1d built by the VideoLAN, VLC, and FFmpeg communities and sponsored by AOMedia. AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Popular examples of open source databases include MySQL, PostgreSQL and MongoDB.

Open Source 55

Open Source Database Cloud Infrastructure 55

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. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 105

Availability Database Open Source Hardware 105

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 178

Lambda AWS Serverless Hardware 178

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

The Netflix TechBlog

JUNE 4, 2019

We were able to meaningfully improve both the predictability and performance of these containers by taking some of the CPU isolation responsibility away from the operating system and moving towards a data driven solution involving combinatorial optimization and machine learning. We want to extend the system to support CPU oversubscription.

Cache 251

Cache Latency Airlines Logistics 251

Percona

AUGUST 8, 2023

As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Let’s take a look at each common resource.

Traffic 88

Traffic Cache Monitoring Database 88

Percona

NOVEMBER 1, 2023

In this age of digital information, robust backup and recovery strategies are the pillars on which the stability of applications stands. In this blog, we will review all of the potential MySQL backup and restore strategies, the cornerstones of any application. Why Do MySQL Backups Matter? ” What is the Recovery Point Objective?

Best Practices 78

Best Practices Storage Strategy Database 78

ACM Sigarch

APRIL 8, 2019

However, we often hear anecdotes that the number of prospective graduate students applying to computer architecture/systems is small and shrinking. Communities in other fields have made a substantial effort towards “democratization,” where tools are not just made open source, but also accessible to everyone. Why is that?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Testsigma

DECEMBER 28, 2019

The testing phase starts with unit testing followed by integration testing, system testing, system integration testing, acceptance testing, and regression testing. System testing- checks end to end flows works as expected. Acceptance testing- to validate the system is developed as per business requirement. Re-execute all.

Testing 53

Testing Hardware Testing Tools Strategy 53

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. Tip #5: Think wisely about your index strategy Putting some thought into your queries at the start can have a massive impact on performance over time.

Database 78

Database Servers Storage Strategy 78

HammerDB

JANUARY 5, 2019

This post addresses some of the opinions around database benchmarking and gives the top 5 reasons why industry standard benchmarking is important and should be an essential foundation of your database engineering strategy. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

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

KeyCDN

SEPTEMBER 20, 2018

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Monitoring errors on the front-end requires a bit more work because front-end performance is highly dependant on the user’s hardware, software and connection. A comprehensive bug testing strategy should incorporate them all: 1.

Strategy 67

Strategy Monitoring Website Google 67

Adrian Cockcroft

NOVEMBER 11, 2019

A resilient system continues to operate successfully in the presence of failures. The system needs to maintain a safety margin that is capable of absorbing failure via defense in depth, and failure modes need to be prioritized to take care of the most likely and highest impact risks. The first technique is the most generally useful.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

A resilient system continues to operate successfully in the presence of failures. The system needs to maintain a safety margin that is capable of absorbing failure via defense in depth, and failure modes need to be prioritized to take care of the most likely and highest impact risks. The first technique is the most generally useful.

Latency 53

Latency Engineering Systems Hardware 53

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. The 8 fallacies of data pipeline Based on my own learnings and experience shared by others, a data pipeline project is never finished.

Latency 63

Latency Analytics Scalability Engineering 63

Smashing Magazine

JANUARY 11, 2021

In many organizations, front-end developers know exactly what common underlying problems are and what strategies should be used to fix them. Performance Budgets, Pragmatically shows you a strategy to achieve that. dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. 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). Large preview ). when web fonts aren’t loaded yet). Large preview ).

Performance 145

Performance Cache Network Metrics 145

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Agile Manager

JANUARY 22, 2010

the simple "what if" forecasting that we can perform in an open-source spreadsheet today was a major breakthrough in productivity 30 years ago). Most corporate technology people (working in a department known as "Information Systems" as opposed to "Information Technology") didn’t take microcomputers all that seriously.

Google 40

Google Hardware Education Operating System 40

Smashing Magazine

JANUARY 7, 2019

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. 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). There are many tools allowing you to achieve that: SiteSpeed.io

Performance 104

Performance Cache Metrics Network 104

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. Millions of tests, across as many parameters as will fit on the hardware. Not that you’ll even need GPU access all that often.

Hardware 98

Hardware Storage Big Data Blockchain 98