ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention.

IoT 78

IoT Analytics Big Data Architecture 78

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. in the directory storage/innobase/ut the following section has UT_RELAX_CPU defined to call the PAUSE instruction on x86.

Testing 48

Testing Tuning Latency Storage 48

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. Mike Loukides.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning. But Kubernetes storage is evolving quite quickly.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. Every time data spikes - a phenomenon which will be not predictable in most cases - overall latency to process the data using data pipeline will go up.

Latency 63

Latency Analytics Scalability Engineering 63

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Netflix TechBlog

MAY 5, 2021

In the future posts, we will do an architectural deep dive into the several components of Netflix Drive. Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities.

Media 174

Media Storage Architecture Cloud 174

All Things Distributed

MARCH 11, 2016

The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down. No gatekeepers.

AWS 144

AWS Hardware Retail Virtualization 144

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. Because the solutions still rely on writing in one single node that works as Primary.

Traffic 125

Traffic Scalability Database Servers 125

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. It shows how real-time digital twins are distributed across multiple virtual servers organized into an in-memory computing cluster connected to Azure IoT Hub.

IoT 52

IoT Azure Analytics Serverless 52

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. vCore Pricing Tier. GB per vCore. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Percona

APRIL 17, 2023

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. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture.

Best Practices 52

Best Practices Design Tuning Database 52

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 We have long been surfing the virtualization wave (to keep it broad).

Tuning 137

Tuning Cache Servers Benchmarking 137

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. This architectural pattern was a response to the scaling challenges that had challenged Amazon.com through its first 5 years, when direct database access was one of the major bottlenecks in scaling and operating the business. The growth of Amazonâ??s Consistency.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

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. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . maximum transition latency: Cannot determine or is not supported. .

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Large preview ).

Performance 145

Performance Cache Media Metrics 145