Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JUNE 29, 2022

Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment.

Infrastructure 180

Infrastructure Cloud Azure AWS 180

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. High availability does not guarantee 100% uptime, but an HA system enables you to minimize downtime to the point you’re almost there.

Availability 82

Availability Hardware Open Source Database 82

O'Reilly

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Azure 145

Azure Social Media Programming AWS 145

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. .” More in the following sub-section.)

Availability 111

Availability Database Open Source Hardware 111

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is the Advanced Message Queuing Protocol?

Monitoring 198

Monitoring Serverless Programming Speed 198

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is the Advanced Message Queuing Protocol?

Monitoring 197

Monitoring Serverless Programming Speed 197

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Without further ado, let’s start with the OS settings. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

APRIL 16, 2020

Since our BYOC plans are hosted through your own AWS or Azure account, all cloud instances, backups and data transfer costs are paid directly through your cloud provider. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. Attestation—Providing systems the means to attest or verify the integrity of their components. . A History of Architecture Support for Security.

Hardware 98

Hardware Virtualization Architecture Games 98

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. In the past, severe database issues seriously hurt system performance, causing delayed shipping times for prescriptions. How Davis delivers proactive cloud operations.

Cloud 175

Cloud Infrastructure Innovation Monitoring 175

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Another benefit is cost savings associated with server and data center setup and maintenance.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 29, 2022

As a result, IT teams can automate and manage processes across on-premises and cloud-based systems, or between multiple cloud services to prevent vendor lock-in. As a result, teams must verify their data first because the triggering condition could be based on discovered data that is stale. Cloud Automation use cases.

Infrastructure 171

Infrastructure Code Cloud DevOps 171

The Morning Paper

DECEMBER 10, 2019

This is a companion paper to the " persistent problem " piece that we looked at earlier this week, going a little deeper into the object pointer representation choices and the mapping of a virtual object space into physical address spaces. Both abstractions must be implemented in a way that is efficient using existing hardware.

Hardware 52

Hardware Virtualization Operating System Programming 52

Percona

JUNE 12, 2023

Conversely, choosing a piecemeal approach — one in which you attempt to build a database through the trial and error of various tools and extensions — can leave your system vulnerable. Scalability : HA architecture should support scalability that enables automated management of increased workloads and data volume.

Architecture 99

Architecture Availability Open Source Healthcare 99

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications.

Latency 52

Latency Hardware Cache Architecture 52

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. It enables businesses and organizations to meet uptime and service level objectives, protect business-critical data, and maintain performant databases. there cannot be high availability. If so, what are the legal liabilities?

Availability 87

Availability Open Source Architecture Database 87

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Brendan Gregg

MARCH 16, 2024

The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. What happens if the random data is a valid pointer by coincidence? You usually get an extra junk frame.

Java 145

Java Cache Google Hardware 145

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. And this all has to work for whole-system executions, not just the C-language portion of user processes.

C++ 61

C++ Hardware Virtualization Benchmarking 61

ACM Sigarch

APRIL 26, 2018

They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. HammerDB is a software application for database benchmarking. Why HammerDB was developed. HammerDB Licensing.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

OCTOBER 23, 2023

Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users.

Benchmarking 62

Benchmarking Database Network C++ 62

The Netflix TechBlog

NOVEMBER 9, 2022

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. a contiguous chunk of data (typically 64 bytes on x86 systems) transferred to and from the cache. to a larger AWS instance size, from m5.4xl (16 vCPUs) to m5.12xl (48 vCPUs).

Hardware 363

Hardware Cache Performance Latency 363

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. A poorly chosen shard key can lead to performance issues.

Best Practices 75

Best Practices Traffic Database Servers 75

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data. Strategically, IT doesn't matter.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Above that there’s a deployment platform such as Kubernetes or AWS Lambda.

Engineering 137

Engineering Serverless Lambda AWS 137

HammerDB

FEBRUARY 25, 2021

This helps to minimise locking allowing multiple sessions to access the same data at the same time. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. To benchmark a database we introduce the concept of a Virtual User. The Python GIL.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. PLOS’19.

Hardware 56

Hardware Programming Media Storage 56

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

OCTOBER 22, 2019

If your system is under high load, it can run into thread-locking issues that prevent upward linear scaling of your application. 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 103

Java Scalability Hardware Architecture 103

Nick Desaulniers

MAY 30, 2016

Data Models. What these programmers are seeing is known as data models. Programmer 1 one on a 64b x86-64 OSX machine had an LP64 data model where longs (L), (larger long longs,) and pointers (P) are 64b, but ints were 32b. Data model. There are older data models such as LP32 (Windows 3.1, sizeof(int). sizeof(long).

C++ 59

C++ Programming Code Hardware 59

HammerDB

OCTOBER 18, 2019

Nevertheless in this blog sometimes we do publish performance data to highlight best practices or potential configuration pitfalls and although we’ve mentioned this one before it is worth dedicating an entire post to it as this issue seems to appear numerous times running database workloads on Linux. hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63