Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Databases : Among databases, Redis is the most used at 60%.

Open Source 343

Open Source Java Operating System Programming 343

Percona

MAY 1, 2023

This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., The innodb_io_capacity_max parameter was set to 2000, so the hardware should be able to deliver that many IOPS without major issues. The settings might not be optimal. flushed=140, during the time.)

AWS 124

AWS Hardware Storage Tuning 124

Percona

MAY 1, 2023

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

AUGUST 26, 2020

There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale! I’d like to stress the lean approach to hardware that our customers require for running Dynatrace Managed. Optimal metric storage management strategy.

Performance 150

Performance Hardware Java Storage 150

Dynatrace

MAY 14, 2020

Dynatrace PurePath technology captures and analyzes transactions end to end across every tier of your application technology stack, from the browser all the way down to the code and database level. A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. Impact on disk space.

Processing 154

Processing Hardware Traffic Storage 154

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

All Things Distributed

SEPTEMBER 20, 2013

Traditionally records in a database were stored as such: the data in a row was stored together for easy and fast retrieval. Combined with the rise of data warehouse workloads, where there is often significant redundancy in the values stored in columns, and database models based on column oriented storage took off.

Storage 87

Storage Hardware Cache C++ 87

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 108

Performance Monitoring Traffic Database 108

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

Percona

JUNE 30, 2023

Percona, a leading provider of open-source database software and services, announced the general availability of Percona Operator for PostgreSQL version 2. Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. In version 1.x,

Availability 98

Availability Open Source Azure Hardware 98

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. For storage, FIO is generally used. Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 84

Cloud Open Source Strategy Best Practices 84

Scalegrid

DECEMBER 6, 2023

The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Database as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130

Database Cloud Hardware Storage 130

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. It can help us to save costs on storage and backup times. It is available under a paid subscription.

Open Source 93

Open Source Storage Database Big Data 93

Percona

AUGUST 30, 2023

Data powers everything, and unlike coal and coal combustion, data and databases aren’t going away. In this blog, we’ll focus on the elements of database backup and disaster recovery, and we’ll introduce proven solutions for maintaining business continuity, even amid otherwise dire circumstances.

Database 93

Database Hardware Open Source Strategy 93

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. The class of techniques described in this blog post, which we broadly refer to as applied hardware and architecture cryptography, apply proven cryptographic techniques to strengthen systems.

Systems 47

Systems Hardware Storage Healthcare 47

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier.

Open Source 97

Open Source Database Hardware Strategy 97

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

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

SQL Performance

DECEMBER 27, 2019

Note that I am not focusing on reporting workload or other read query performance at this time – I merely want to see what impact I can have on storage (and memory) footprint of this data. ALTER DATABASE OCopy ADD FILE ( name = N'CCI_8' , size = 250000 , filename = 'K:Datao_cci_8.mdf' Here is the original table.

Database 70

Database Storage Hardware Efficiency 70

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61

C++ Hardware Virtualization Benchmarking 61

The Morning Paper

FEBRUARY 18, 2020

Here are the three big directional bets that align with the three main areas cited by the authors: We will train in the cloud , where its possible to take advantage of managed infrastructure well suited to large amounts of data, spiky resource usage, and access to the latest hardware. Will we like them more than we like stored procedures?

Government 95

Government Software Engineering Storage Database 95

All Things Distributed

MAY 8, 2012

s announcement of Amazon RDS for Microsoft SQL Server and.NET support for AWS Elastic Beanstalk marks another important step in our commitment to increase the flexibility for AWS customers to use the choice of operating system, programming language, development tools and database software that meet their application requirements.

Cloud 115

Cloud Development AWS Servers 115

n0derunner

DECEMBER 18, 2018

a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. On the same hardware with AES enabled – the time is cut in half. This is true for all storage, so speeding up metadata resolution can make a dramatic improvement to overall throughput as we demonstrate.

Performance 40

Performance Cache Hardware Storage 40

SQL Performance

MARCH 17, 2020

I will be using the 50GB Stack Overflow 2013 database , but any large table with a low number of distinct values would do. The Stack Overflow 2013 database comes without nonclustered indexes to minimize download time. Not everyone will be able to move to column store storage quickly, and it won't always be the right solution anyway.

Servers 86

Servers Tuning Database Efficiency 86

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

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Why would this be the case?

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability.

Performance 129

Performance Hardware Tuning Storage 129

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 112

Availability Database Open Source Hardware 112

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 280

Serverless AWS Lambda Storage 280

All Things Distributed

APRIL 5, 2012

One of the services that is very successful in driving innovation at our customers in this context is Amazon RDS , the Relational Database Service. Amazon RDS removes the headaches of running a relational database service reliably at scale, allowing Amazon RDS customers to focus on innovation for their customers. hands freeÃ?

Innovation 146

Innovation AWS Education Network 146

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52

AWS Database Serverless Storage 52

All Things Distributed

JULY 13, 2010

Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it). until today.

Cloud 118

Cloud AWS Automotive Latency 118