The Netflix TechBlog

APRIL 17, 2019

It’s a nice building with good architecture! However, a more scalable approach would be to begin with a new foundation and begin a new building. However, a more scalable approach would be to begin with a new foundation and begin a new building. The facilities are modern, spacious and scalable. What is SVT-AV1?

Open Source 166

Open Source Scalability Speed Efficiency 166

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 112

Availability Database Open Source Hardware 112

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. 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

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. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 83

Availability Hardware Open Source Database 83

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

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Identify data use cases and develop a scalable delivery model with documentation. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost. Inconsistent performance.

Cloud 167

Cloud Traffic Best Practices Strategy 167

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. JavaScript frameworks JavaScript frameworks like React, Angular, and Vue.js

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

Open Source 345

Open Source Java Operating System Programming 345

Percona

JUNE 30, 2023

Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally. What is better in version 2 compared to version 1?

Availability 98

Availability Open Source Azure Hardware 98

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 106

Efficiency Cloud Healthcare Open Source 106

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. About CXL hardware availability with academia. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 5, 2021

This is where Lambda comes in: Developers can deploy programs with no concern for the underlying hardware, connecting to services in the broader ecosystem, creating APIs, preparing data, or sending push notifications directly in the cloud, to list just a few examples. How does AWS Lambda work? Optimizing Lambda for performance.

Lambda 181

Lambda AWS Serverless Hardware 181

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. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

OCTOBER 26, 2020

Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. 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.

Innovation 155

Innovation Metrics Hardware Games 155

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 88

Availability Open Source Architecture Database 88

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. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

OCTOBER 28, 2020

From mainframe to mobile, Dynatrace has the broadest technology coverage, including supported languages, application architectures, cloud, on-premise or hybrid, enterprise apps, SaaS monitoring, and more. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest software releases twice a year.

Monitoring 147

Monitoring Systems Infrastructure Cloud 147

Dynatrace

DECEMBER 20, 2019

From mainframe to mobile, Dynatrace has the broadest technology coverage, including supported languages, application architectures, cloud, on-premise or hybrid, enterprise apps, SaaS monitoring, and more. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest release twice a year.

Infrastructure 134

Infrastructure Government Cloud Monitoring 134

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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 92

Database Hardware Open Source Strategy 92

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). Regular expression matching is well studied, but state of the art hardware algorithms don’t reach the performance and memory targets needed for Pigasus. Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128

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 makes experiments repeatable and scalable so teams can apply them to future experiments of the same or larger stacks. Dynatrace news.

Engineering 228

Engineering Entertainment Cloud Infrastructure 228

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 75

Best Practices Traffic Database Servers 75

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 103

Java Scalability Hardware Architecture 103

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Scalability. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. While integrating AI and machine learning into cloud-native architectures, there’s an increasing demand from users for AI to be open and collaborative.

Cloud 83

Cloud Open Source Strategy Best Practices 83

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

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

JUNE 7, 2019

Scalability and load balancing. For detailed prerequisites, hardware requirements, and installation guidelines, see our help page for browser monitors in private locations. A: It all depends on your internal network architecture. Improved scheduling by grouping machines together in a single location.

Network 158

Network Monitoring Servers Hardware 158

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. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

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