Scalegrid

JULY 13, 2020

The $47,500 licensing costs for Oracle Enterprise Edition is only for one CPU core, that ultimately has to be multiplied with the actual number of cores on the physical server. Comparison Overview. Scalability. PostgreSQL offers free scalability, and can scale up to millions of transactions per seconds. . $104,310.

Open Source 244

Open Source Tuning C++ Database 244

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Percona

MAY 2, 2023

During the logical backups, using client API, the data gets read from the server and returned back to the same API, which will be serialized and written into respective “ bson”, “ json” or “ csv” backup files on disk depending upon the type of backup utilities used.

Best Practices 52

Best Practices Database Storage Servers 52

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . HammerDB difference from Sysbench. Otherwise find the file ut0ut.cc perf special. monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

JUNE 27, 2022

HammerDB supports the most popular databases on the db-engines ranking , namely Oracle Database, Microsoft SQL Server, IBM Db2, TimesTen, MySQL, MariaDB, PostgreSQL, Greenplum, Postgres Plus Advanced Server, Citus Data, Amazon Aurora and Amazon Redshift. Supported Databases. Derived Workloads. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

Cache 52

Cache Storage Servers Database 52

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. SAP server. Dynatrace news. Dynatrace Extension: NetScaler performance.

Latency 118

Latency Performance Virtualization Infrastructure 118

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

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. Read/Write scalability. The first figure below depicts logical relationships between different techniques and their coordinates in the system of the consistency-scalability-availability-latency tradeoffs. Consistency-scalability tradeoff. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. In a recent customer engagement, the application needed to load 10M objects into each server of the IMDG’s cluster to make full use of high-end servers with 60GB memory capacity.

Cache 40

Cache Servers Network Design 40

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. SAP server. It delivers vital enterprise applications to thousands of users.

Latency 37

Latency Performance Virtualization Infrastructure 37

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. Applicability : Search Engines. (16)

Database 279

Database Ecommerce Efficiency Engineering 279

Smashing Magazine

JANUARY 11, 2021

Alternatively, you can also use: Addy Osmani’s Chrome UX Report Compare Tool , Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing). It used to provide an insight into how quickly the server outputs any data. What does it mean?

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. Large preview ). What does it mean?

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Long FMP usually indicates JavaScript blocking the main thread, but could be related to back-end/server issues as well.

Performance 104

Performance Cache Network Metrics 104