Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

JUNE 10, 2024

Finally, observability helps organizations understand the connections between disparate software, hardware, and infrastructure resources. For example, updating a piece of software might cause a hardware compatibility issue, which translates to an infrastructure challenge.

Analytics 264

Analytics Network Open Source Hardware 264

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. Some cloud providers also offer specialized instances for database workloads, which may provide additional features and optimizations for performance and scalability.

Performance 144

Performance Hardware Tuning Storage 144

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. Use case #1: Identify scalability issues. A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Dynatrace news.

Java 145

Java Scalability Hardware Code 145

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 156

Database Lambda AWS IoT 156

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. If you have a large relational database that costs you a lot of money (hardware & license) and you plan to lift & shift it – why not take the chance and do two things.

Cloud 38

Cloud Traffic Database Network 38

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

JANUARY 21, 2025

Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the clients transmitted command at live speed. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 96

Cloud AWS Automotive Latency 96

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow.

Best Practices 98

Best Practices Traffic Database Servers 98

Scalegrid

DECEMBER 21, 2023

Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the client’s transmitted command at live speed. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.

Architecture 12

Architecture Hardware Cache Storage 12

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Having MySQL backups for your database can speed up and simplify the recovery process. This reduces the risk of simultaneous damage or theft affecting the original data and backups.

Best Practices 130

Best Practices Storage Strategy Database 130

Testsigma

APRIL 4, 2022

Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. Here is the link to the open-source version of Testsigma: testsigmahq/testsigma: Build stable and reliable end-to-end tests @ DevOps speed. github.com).

Testing 95

Testing Open Source IoT Programming 95

All Things Distributed

APRIL 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Jack: After years of seeing teachers struggle to share the web with their classroom, Edmodo founders Nic Borg and Jeff OHara knew there was a need for a highly scalable, secure social network targeted at K-12. All Things Distributed. Comments ().

Innovation 110

Innovation AWS Education Network 110

Percona

JANUARY 4, 2024

Balancing I/O load: Distribute tables across multiple general tablespaces located on different disks to avoid I/O bottlenecks and improve query execution speed. In order to maximize their benefits, remember to carefully consider your specific needs and workload characteristics before implementing general tablespaces.

Storage 114

Storage Engineering Database Open Source 114

All Things Distributed

OCTOBER 7, 2015

QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Big data challenges. Enter Amazon QuickSight.

Cloud 112

Cloud Big Data AWS Analytics 112

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 113

Cloud Open Source Strategy Best Practices 113

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . hardware limits: 1000 MHz - 3.80 hardware limits: 1000 MHz - 3.80 current CPU frequency: Unable to call hardware .

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Hardware resources. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Traffic 63

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

KeyCDN

AUGUST 15, 2019

Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. When the word “performance” is heard, most people immediately think of speed. If you don’t test, then you’ll have to learn about them the hard way.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 56

Hardware Latency Virtualization Cloud 56

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. This feature can further speed up your test case execution. Scalable – reduce or expand according to your needs. Testsigma is highly scalable. Debug test cases on cloud.

Cloud 59

Cloud Testing Mobile Scalability 59

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Honestly, this is not time-effective at all if you’re aiming for efficiency and speed.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. Some cool algorithms: Pigeonring speeds up thresholded similarity searches. Do we want that?

Blockchain 46

Blockchain Hardware Google Speed 46

Percona

DECEMBER 14, 2022

The key goals of OLTP applications are availability, speed, concurrency, and recoverability. The CITUS columnar extension is just one part of a larger set of capabilities of this extension that when fully implemented creates a fully scalable distributed Postgres database system. speeds up scans, . consolidation (roll-up).

Database 93

Database Storage Analytics Processing 93

VoltDB

JUNE 26, 2024

On top of this, intelligent manufacturing enables organizations to automate repetitive tasks, ensuring consistency and speed while reducing errors and freeing up staff to focus on more complex tasks. Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Testsigma

FEBRUARY 13, 2021

For businesses to be more agile and work with an unmatchable speed, cloud testing is crucial. If we don’t perform with speed, there’s a lot to lose. It’s not just about speeding up the deployment, the cloud-based testing tool cuts down on operational overhead costs like in-house infrastructure, maintenance of data, etc.

Cloud 52

Cloud Testing Testing Tools Small Business 52

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

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Database Efficiency Performance 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. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52