Percona

SEPTEMBER 22, 2023

Before open source was available, there was little to no interoperability between computer systems. If you ran IBM hardware, then you ran IBM software, and that handy calendaring program that ran on Data General or Digital hardware/software was unavailable to you.

Open Source 116

Open Source Software Software Hardware 116

ACM Sigarch

FEBRUARY 23, 2018

Engineers, like economists, deal with large amounts of data and pride ourselves on our clinical ability to analyze and solve complex problems. I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. We believed existing hardware and OS protocols protected the processor.

Architecture 47

Architecture Cache Hardware Virtualization 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

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 177

Lambda AWS Serverless Hardware 177

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. About CXL hardware availability with academia.

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. For example, when running tests, the state of the device will change from “available for testing” to “in test.” In this blog post, we will focus on the latter feature set.

Latency 216

Latency Traffic Transportation Cloud 216

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. A History of Architecture Support for Security. The figure above provides a timeline of architectural support for practical defenses, as found in commercial products.

Hardware 98

Hardware Virtualization Architecture Games 98

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. 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.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. It created more uncertainty than the load balancing issues the entertainment firm saw in its data centers. Dynatrace news.

Engineering 220

Engineering Entertainment Cloud Infrastructure 220

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

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Linux to the rescue? As an illustrative example, let’s consider a toy instance of 16 hyperthreads.

Cache 254

Cache Latency Airlines Logistics 254

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).

Availability 237

Availability Infrastructure Metrics Monitoring 237

Testlodge

MARCH 21, 2023

White box testing examines the system’s internal structure and architecture. White box testing examines the system’s internal structure and architecture. The internal structure can mean code, architecture, integrations like APIs or other third-party systems, or any other type of backend knowledge.

Testing 67

Testing Architecture Hardware Code 67

Percona

DECEMBER 27, 2023

In our conversations with developers and engineers during the conference, we confirmed the CNCF GItOps Microsurvey data – 91% are already using GitOps. All of the database automation for running a highly available, resilient, and secure database is built into the operator to simplify the operation and management of your clusters.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 166

Architecture Availability Infrastructure Monitoring 166

Percona

JUNE 12, 2023

When it comes to access to their applications, users demand instant, reliable, and secure interactions — and that means databases must be highly available. With database high availability (HA), services are largely uninterrupted, and end users are largely satisfied. The obvious answer is this: To achieve high availability.

Architecture 101

Architecture Availability Open Source Healthcare 101

The Morning Paper

OCTOBER 4, 2020

As is expected to be common during the roll-out and transition phase of 5G, this network adopts the NSA (Non-Standalone Access) deployment model whereby the 5G radio is used for the data plane, but the control plane relies on existing 4G. Does 5G improve the end-user experience for applications (web browsing, and 4K+ video streaming)?

Energy 130

Energy Latency Performance Network 130

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

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). In an age where the average data breach sets U.S.

Network 52

Network IoT Wireless Infrastructure 52

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

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 178

Infrastructure Availability Systems Retail 178

Percona

AUGUST 22, 2023

With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have. This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). What does high availability mean?

Availability 84

Availability Hardware Open Source Database 84

The Agile Manager

SEPTEMBER 30, 2020

The data pointed to an impending crisis of being an American institution that would soon be playing second fiddle to a perceived upstart (ironically an upstart founded in the 19th century). The data didn't just indicate New Coke was a better Coke than Coke, the data indicated New Coke was a better Pepsi than Pepsi.

Hardware 52

Hardware Social Media Media Strategy 52

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

KeyCDN

JANUARY 23, 2020

RUM gathers data from real life users to analyze application performance. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. What is real user monitoring (RUM)? Basic server metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. More in the following sub-section.)

Availability 112

Availability Database Open Source Hardware 112

Abhishek Tiwari

SEPTEMBER 7, 2024

Microservices have become the dominant architectural paradigm for building large-scale distributed systems, but until now, their inner workings at major tech companies have remained shrouded in mystery. Meta's microservices architecture encompasses over 18,500 active services running across more than 12 million service instances.

Architecture 52

Architecture Hardware Infrastructure Systems 52

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 183

Analytics Artificial Intelligence Big Data Open Source 183

All Things Distributed

SEPTEMBER 4, 2017

ML is that part of AI that describes rules and recognizes patterns from large amounts of data in order to predict future data. First: Users across the globe are capturing data digitally, whether this is in the physical world through sensors or GPS, or online through click stream data.

Artificial Intelligence 139

Artificial Intelligence Transportation Education Airlines 139

Percona

JANUARY 19, 2023

With disks being faster nowadays and CPU and memory resources being cheaper, we could easily say MySQL can handle TBs of data with good performance. For instance, in Percona Managed Services , we have many clients with TBs worth of data that are well performant. There are many compression tools and algorithms for data out there.

Open Source 93

Open Source Storage Database Big Data 93

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges.

Availability 88

Availability Open Source Architecture Database 88

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

FEBRUARY 18, 2020

When it comes to leveraging ML in enterprise applications, especially in regulated environments, the level of scrutiny for data handling, model fairness, user privacy, and debuggability will be substantially higher than in the first wave of ML applications. The key insight this led to is that ML models are software , derived from data.

Government 95

Government Software Engineering Storage Database 95

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. This is often done to protect sensitive data from unauthorized access or theft. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device.

Database 93

Database Storage Servers Strategy 93