Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Scalegrid

DECEMBER 6, 2023

Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides. The great thing about this is that it provides companies with an unprecedented level of freedom when configuring their system.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 346

Open Source Java Operating System Programming 346

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 77

Availability Hardware Open Source Database 77

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 104

Availability Database Open Source Hardware 104

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Without data backup mechanisms, there can be data loss or system downtime.

Database 85

Database Hardware Open Source Strategy 85

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. In this post, we will consider the use of mathematics/cryptography as an approach to improving systems security.

Systems 47

Systems Hardware Storage Healthcare 47

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy 98

Energy Architecture Hardware Metrics 98

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Downtime due to SPOFs can also be attributed to bottlenecks from architectures designed for applications instead of databases. Despite all its upside, PostgreSQL software presents such challenges.

Availability 81

Availability Open Source Architecture Database 81

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. A future blog will continue my exploration into Citus by scaling out pgbench into other architectures.

Database 102

Database Benchmarking Latency C++ 102

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Percona

DECEMBER 27, 2023

Another significant issue within security concerns is the escalating complexity of modern systems, especially in platforms like Kubernetes, which highlights the need for unified threat models and scanning tools to address vulnerabilities. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It also supports auto-scaling of compute and storage resources, dynamically adjusting capacity based on chosen utilization thresholds to optimize performance and costs.

AWS 52

AWS Database Serverless Storage 52

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. 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 70

Best Practices Traffic Database Servers 70

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. Capability integrity prevents direct in-memory manipulation of architectural capability encodings.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. This is often done to protect sensitive data from unauthorized access or theft. PostgreSQL.

Database 93

Database Storage Servers Strategy 93

Tech News Gather

JULY 19, 2023

Once the new smart-home connectivity standard is released, all firms interested in selling Matter goods will have access to an official rating system. Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. How does a home automation system work?

Wireless 52

Wireless IoT Development Internet 52

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

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. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia.

Architecture 12

Architecture Hardware Cache Storage 12

The Morning Paper

MAY 28, 2019

We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

The Morning Paper

FEBRUARY 18, 2020

ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Compared to web-scale platform use of ML, enterprise applications tend to be built by smaller teams with deeper domain expertise, but less deep algorithmic or systems expertise. Three big bets.

Government 95

Government Software Engineering Storage Database 95

SQL Performance

AUGUST 27, 2019

This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors. It will also use less power than a two-socket Intel server, with a lower hardware cost, and potentially lower licensing costs (for things like VMware). The price per QphH for this system is 0.34

Servers 52

Servers Benchmarking Virtualization Architecture 52

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 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Storage provisioning. But Kubernetes storage is evolving quite quickly. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

ACM Sigarch

AUGUST 20, 2018

An alternate approach is to tie data and potentially software to specific physical instances of a digital system. While such an approach would eliminate the ease with which we can share software and data, it could eliminate incidents where data is lost to attackers or where systems are attacked by malware. Interoperability.

Hardware 47

Hardware Operating System Architecture Software 47

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. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. System Properties and Major Technical Requirements.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40