Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. With real-time observability, teams can easily plan their migration and fine-tune performance as they migrate microservices.

Architecture 222

Architecture Artificial Intelligence Cloud Open Source 222

Percona

DECEMBER 27, 2023

AI and MLOps Kubernetes has become a new web server for many production AI workloads, focusing on facilitating the development and deployment of AI applications, including model training. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

OCTOBER 28, 2021

In 2010, Netflix introduced a technology to switch production software instances off at random — like setting a monkey loose in a server room — to test how the cloud handled its services. It makes experiments repeatable and scalable so teams can apply them to future experiments of the same or larger stacks. Controlling the chaos.

Engineering 217

Engineering Entertainment Cloud Infrastructure 217

Percona

JANUARY 4, 2024

Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning. mysql> mysql> pager grep -i keyring_file; PAGER set to 'grep -i keyring_file' mysql> SHOW PLUGINS; 50 rows in set (0.00

Storage 85

Storage Engineering Database Hardware 85

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

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

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. Historically MySQL has been positioned for supporting web-based applications this is in contrast to enterprise based database workloads that have been served by commercial databases such as Oracle, Db2 and SQL Server.

Best Practices 40

Best Practices Scalability Performance C++ 40

Dotcom-Montior

NOVEMBER 11, 2020

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Scalability. It’s likely you’ve already come across this term somewhere, but what exactly does it mean?

Serverless 57

Serverless Monitoring Lambda Latency 57

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

HammerDB

JANUARY 5, 2019

Scalability. As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Benchmarking 40

Benchmarking Database Social Media Scalability 40

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. When we have multiple CPU cores on both the benchmark client and database server it is crucial that these database sessions run independently of each other at the same time, in parallel.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

AUGUST 5, 2023

KEY partitioning KEY partitioning is similar to HASH partitioning, except that only one or more columns to be evaluated are specified, and the MySQL server provides its own hashing function. Enhanced Scalability : Partitioning enhances the database’s ability to scale, as data can be distributed across different storage devices.

Strategy 40

Strategy Storage Database Best Practices 40

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

AUGUST 30, 2018

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. In other words, whether the workload is dominated by reads or writes. Why should you care?

Benchmarking 46

Benchmarking Database Operating System Architecture 46

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

Scalability 159

Scalability Hardware AWS Tuning 159

All Things Distributed

MARCH 7, 2013

Werner Vogels weblog on building scalable and robust distributed systems. s fast and easy scalability can be quickly applied to building high scale applications. DynamoDB runs on a fleet of SSD-backed storage servers that are specifically designed to support DynamoDB. All Things Distributed. Comments ().

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

High Scalability

NOVEMBER 25, 2019

Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Egnyte Connect Tech Stack. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52