Sutter's Mill

NOVEMBER 11, 2023

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. If you want to do efficient linear algebra, you don’t want to write your own code by hand; that would be slow. This is that library.

C++ 107

C++ Lambda Network Programming 107

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

Architecture 234

Architecture Artificial Intelligence Cloud Open Source 234

Percona

JANUARY 19, 2023

ProxySQL: It is a feature-rich open-source MySQL proxy solution, that allows query routing for the most common MySQL architectures (PXC/Galera, Replication, Group Replication, etc.). With hardware being more powerful and cheaper, and the technology evolving, now it is easier than ever to manage large tables in MySQL.

Open Source 85

Open Source Storage Database Big Data 85

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 244

Serverless Efficiency Lambda Azure 244

Dynatrace

MAY 1, 2020

We anticipate massive growth in the popularity of this architecture in the coming quarters, driven additionally by companies’ push for cost reductions. We’re therefore happy to announce the Early Adopter release of OneAgent full-stack monitoring for Linux on the ARM 64-bit AArch64 architecture with OneAgent version 1.191.

Java 133

Java Hardware Tuning Metrics 133

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. So stay tuned! Dynatrace news. Optimize timing hotspots.

Serverless 237

Serverless Azure Monitoring Lambda 237

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. So stay tuned! Dynatrace news. Optimize timing hotspots.

Serverless 142

Serverless Azure Monitoring Lambda 142

The Morning Paper

NOVEMBER 10, 2019

Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol. The ability to rapidly deploy new versions of Pony Express significantly aided development and tuning of congestion control. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

OCTOBER 26, 2020

So stay tuned. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project. If you want to replicate Christians work – here are the software and hardware specs: Hardware. Raspberry Pi Model 3 B.

Innovation 155

Innovation Metrics Hardware Games 155

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. mongodb-sysctl.conf – if /etc/sysctl.d

Best Practices 52

Best Practices Design Tuning Database 52

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. I highly recommend that you take a look at the diagram that breaks down the architecture and how it all works in this article. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Serverless Database.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

OCTOBER 22, 2019

A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Locking is the Achilles heel of any multi-threaded architecture. Ultimately, it leads to a state where your system won’t be able to process more data even if you add more hardware.

Java 103

Java Scalability Hardware Architecture 103

All Things Distributed

MARCH 7, 2013

Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. This rapid adoption has allowed us to benefit from the scale economies inherent in our architecture.

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

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 31

Availability Hardware Java Tuning 31

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 25

Availability Hardware Java Tuning 25

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

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

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

OCTOBER 8, 2014

We built DynamoDB as a fully-managed service because we wanted to enable our customers, both internal and external, to focus on their application rather than being distracted by undifferentiated heavy lifting like dealing with hardware and software maintenance. Expanding the freedom to invent.

Availability 145

Availability Performance Scalability AWS 145

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data.

Servers 95

Servers Tuning Architecture Processing 95

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

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge A future blog will continue my exploration into Citus by scaling out pgbench into other architectures.

Database 102

Database Benchmarking Latency C++ 102

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

John McCalpin

APRIL 25, 2023

Stay tuned! The NEC Vector Engine processors provide a demonstration of very high single-core bandwidth. On a VE20B (8 cores, 1.6 GHz, 1530 GB/s peak BW from 6 HBM stacks), I see single-thread sustained memory bandwidth of 304 GB/s on the ReadOnly benchmark used here.

Benchmarking 97

Benchmarking Cache Latency Tuning 97