Percona

OCTOBER 18, 2023

Compatibility Open source databases are designed with interoperability at their core, adhering to industry standards and offering support for a wide range of data import and export formats. Strategy: Choosing your path Having a strategy for your migration will make the move to open source go that much smoother.

Open Source 90

Open Source Database Hardware Strategy 90

Percona

APRIL 17, 2023

Since MongoDB usually works with a replica set, it is possible to increase this parameter to get better performance: # edit /etc/mongod.conf storage: journal: enabled: true commitIntervalMs: 300 WiredTiger cache For dedicated servers, it is possible to increase the WiredTiger(WT) cache. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

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

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. If you don’t have well-designed and small columns for this composite primary key, it could enlarge all of your secondary indexes. These benefits collectively contribute to a more efficient database environment.

Strategy 40

Strategy Storage Database Best Practices 40

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. In addition to the disaster recovery site, this design includes an external layer of nodes.

Availability 105

Availability Database Open Source Hardware 105

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130

Metrics Monitoring Latency Cache 130

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

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. 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. MongoDB is popular with developers as it is easy to get started with.

Database 79

Database Servers Storage Strategy 79

Percona

SEPTEMBER 1, 2023

To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability. 2) Hardware limitations Disk and memory are inexpensive nowadays. An example is running MongoDB on Mesos.

Best Practices 71

Best Practices Traffic Database Servers 71

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Efficiency Database Performance 52

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Automation and Remote Control It should come as no surprise that these two features are crucial to a well-designed smart home app. How does a home automation system work?

Wireless 52

Wireless IoT Development Internet 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. Physalia is designed to offer consistency and high-availability, even under network partitions. Requirements.

Database 106

Database AWS Network Design 106

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. This discussion focuses on hardware, software and operational failure modes. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. This discussion focuses on hardware, software and operational failure modes. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Performance Budgets, Pragmatically shows you a strategy to achieve that.

Performance 145

Performance Cache Media Metrics 145

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

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 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Looking back now, things seem to have changed quite significantly. thanks, Guy Podjarny! ).

Performance 145

Performance Cache Network Metrics 145

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. This is different from ​​ the reference count design ​​ that was ​​ used in SQL Server 7.0 and ​​ 2000.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 7, 2019

Performance isn’t just a technical concern: it matters, and when baking it into the workflow, design decisions have to be informed by their performance implications. Without a strong alignment between dev/design and business/marketing teams, performance isn’t going to sustain long-term. when web fonts aren’t loaded yet).

Performance 104

Performance Cache Metrics Network 104

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Let’s go through all these techniques moving from weak to strong consistency guarantees: (A, Anti-Entropy) Weakest consistency guarantees are provided by the following strategy. Data Placement. Multi-Attribute Sharding.

Database 213

Database Latency C++ Scalability 213

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.” Cloud computing? ” scenarios at industrial scale.

Hardware 102

Hardware Storage Big Data Blockchain 102

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. Add onto that the yawning chasm between low-end and high-end device performance thanks to chip design factors like cache sizes, and it can be difficult to know where to set a device baseline. Time to execute and run our code.

Performance 68

Performance Benchmarking Network Mobile 68