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 90

Open Source Storage Database Big Data 90

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

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 89

Database Hardware Open Source Strategy 89

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. Capability integrity prevents direct in-memory manipulation of architectural capability encodings.

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

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 290

Serverless AWS Lambda Storage 290

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

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 109

Availability Database Open Source Hardware 109

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).

Cloud 118

Cloud AWS Automotive Latency 118

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

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring.

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

Percona

AUGUST 22, 2023

Estimates vary, but most reports put the average cost of unplanned database downtime at approximately $300,000 to $500,000 per hour, or $5,000 to $8,000 per minute. With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have.

Availability 81

Availability Hardware Open Source Database 81

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

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

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. The basic tier provides up to 5 DTUs with standard storage. HyperScale Database. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. This blog highlights considerations for keeping your own PostgreSQL databases highly available and healthy. The same changes made in the primary database are made in the replicas.

Availability 85

Availability Open Source Architecture Database 85

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. TDE can be applied at various levels, such as at the database, column, or cell level, depending on the organization’s specific security needs. Database-level encryption.

Database 93

Database Storage Servers Strategy 93

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 167

Scalability Database Ecommerce Latency 167

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. First released in 2009, it is the most used NoSQL database and has been downloaded more than 325 million times. The bigger the database, the bigger the damage from a leak.

Database 81

Database Servers Storage Strategy 81

All Things Distributed

MARCH 7, 2013

Many of our customers have, with the click of a button, created DynamoDB deployments in a matter of minutes that are able to serve trillions of database requests per year. Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. s prices by 70%.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

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

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance.

Best Practices 73

Best Practices Traffic Database Servers 73

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. Deployment Schema and High-Level Architecture.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

HammerDB

OCTOBER 12, 2018

Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For this reason sysbench presents a vastly more simplified workload than HammerDB. . 10 rows in set (0.02

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145

Percona

AUGUST 30, 2018

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 212

Code Metrics Efficiency Open Source 212