ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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.

Scalability 167

Scalability Database Ecommerce Latency 167

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 97

Monitoring Scalability Cache Database 97

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. Taken together, these features enable organizations to build software that is more scalable, reliable, and flexible than traditionally built software.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 1, 2021

The benefit is scalability. Often, teams don’t have access to the underlying virtual machine, so log data can be priceless for troubleshooting,” Franczak said. “In The DS database had been reconfigured, which impacted 400 users. He outlined another scenario involving BigQuery, a GCP analytics service.

Azure 175

Azure AWS DevOps Cloud 175

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. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance.

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

Testsigma

JUNE 26, 2021

Cloud-based: You can run your tests on a secure, scalable cloud that comes with thousands of real devices. Analytics & reports: Fetches real-time test performance results; lets you monitor team development and user activity to derive actionable insights. to quickly collaborate, communicate, and fix bugs with teams.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Scalability. The recipe was straightforward. Do you have a web server? Is the web server running?

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. It is also important to note however that at the level of peak performance approached at 80 virtual users in this case.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

NOVEMBER 30, 2018

However if you have downloaded the source code and are looking to add features or make modifications such as adding new databases you may be wondering once you have the source code where to start. However HammerDB will not be able to connect to a database yet and the librarycheck command included with the CLI gives an indication why.

Architecture 40

Architecture Virtualization Open Source C++ 40

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. All Things Distributed.

AWS 111

AWS Government Big Data Cloud 111

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

Dotcom-Montior

DECEMBER 8, 2021

The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. You cannot virtualize everything…yet. Service Catalog. Change management is also sometimes grouped with release management. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90