Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. While MySQL can handle large data sets, it is always recommended to keep only the used data in the databases, as this will make data access more efficient, and also will help to save costs on storage and backups. MyRocks is shipped in Percona Server for MySQL.

Open Source 93

Open Source Storage Database Big Data 93

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign.

Google 193

Google Engineering Metrics Hardware 193

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

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 93

Storage Engineering Database Hardware 93

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

OCTOBER 4, 2020

Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. When it comes to latency the authors measured RTTs for four 5G base stations spread across the city, and 20 other Internet servers nationwide.

Energy 130

Energy Latency Performance Network 130

The Morning Paper

FEBRUARY 18, 2020

The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. Microsoft experimented with in-DBMBS inference by integrating the ONNX runtime in SQL Server.

Government 95

Government Software Engineering Storage Database 95

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The key aspect is the presence of the TP Monitor and this is arguably the area where the most confusion arose in stating that a HammerDB TPC-C workload was not an actual TPC-C workload which should have already been clear.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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 93

Database Hardware Open Source Strategy 93

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios. Achieve high SLOs with seamless monitoring when entire data centers experience outages.

Availability 244

Availability Hardware Latency Traffic 244

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 124

Cloud Serverless AWS Storage 124

Dynatrace

NOVEMBER 3, 2022

Serverless container offerings such as AWS Fargate enable companies to manage and modify containers while abstracting server layers to offer customization without increased complexity. IaaS provides direct access to compute resources such as servers, storage, and networks. In FaaS environments, providers manage all the hardware.

Serverless 216

Serverless Azure Hardware Transportation 216

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

Percona

OCTOBER 18, 2023

These vendors often provide integrated stacks that include the database, application server, and other components that seamlessly integrate. 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 97

Open Source Database Hardware Strategy 97

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 82

Availability Hardware Open Source Database 82

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

JULY 7, 2023

In general terms, to achieve HA in PostgreSQL, there must be: Redundancy: To ensure data redundancy and provide continuous performance when a primary server fails, multiple copies of the database reside in replica servers. When the primary server fails, a standby server takes over as the new primary.

Availability 87

Availability Open Source Architecture Database 87

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. When you have multiple copies of your data on different database servers — or even better, in different data centers worldwide — replication provides a high level of fault tolerance in case of a disaster.

Database 83

Database Servers Storage Strategy 83

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. Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Availability 112

Availability Database Open Source Hardware 112

Percona

AUGUST 18, 2023

Why do you need multiple instances on the same server? You can have a host with two or three instances configured as a delayed replica of the source server with SQL Delay of, let’s say, 24hr, 12hr, and 6/3hrs. You can run multiple instances on a server to test your backups with the correct version and configs.

Programming 88

Programming Servers Database Hardware 88

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. The basic tier provides up to 5 DTUs with standard storage. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. vCore Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Percona

APRIL 17, 2023

It is common to see a value of “ 0″ ( or sometimes “10” ) on database servers, telling the kernel to prefer to swap to memory for better response times. 20-30% is a good general default for “dirty_ratio,” but on large-memory database servers, this can be a lot of memory.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

SEPTEMBER 1, 2023

Sharding in MongoDB is a technique used to distribute a database horizontally across multiple nodes or servers, known as “shards.” Sharding enables horizontal scaling, where more servers or nodes are added to the cluster to handle increasing data and user demands. Learn more: View our webinar on How to Scale with MongoDB.

Best Practices 75

Best Practices Traffic Database Servers 75

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40