Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

CSS - Tricks

JULY 25, 2019

If you’re interested in a high-level overview of Lighthouse architecture, read this guide from the official repository. Estimated Input Latency. Estimated Input Latency. It’s time to come to terms that your customers aren’t using the same powerful hardware as you. How Lighthouse calculates the Performance Score.

Google 71

Google Engineering Speed Mobile 71

All Things Distributed

JULY 13, 2010

Further computationally intensive, highly parallel workloads have found their way to Amazon EC2 as businesses have explored using HPC types of algorithms for other application categories, for example to to process very large unstructured data sets for Business Intelligence applications. until today.

Cloud 118

Cloud AWS Automotive Latency 118

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 243

Serverless Efficiency Lambda Azure 243

Abhishek Tiwari

DECEMBER 27, 2017

For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Using default scheduler's node affinity feature you can ensure that certain pods only schedule on nodes with specialized hardware like GPU, memory-optimised, I/O optimised etc.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

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. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Highly Scalable

AUGUST 20, 2013

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. A typical example of pipelining is shown below: In this example, the hash join algorithm is employed to join four relations: R1, S1, S2, and S3 using 3 processors.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

Dotcom-Montior

NOVEMBER 24, 2021

Ok, so maybe that is an oversimplified example, but you get the point. Gone are the days of monolithic architecture. Today, there are a variety of architectures and systems in use. Today, there are a variety of architectures and systems in use. Blockchain is a good example of this. Onto the next project.

Systems 74

Systems Monitoring Hardware Network 74

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. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

The Netflix TechBlog

FEBRUARY 9, 2021

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. Here’s what the final architecture looked like. We call these adaptive fields.

Engineering 165

Engineering Storage Latency Entertainment 165

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Percona

NOVEMBER 9, 2023

Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Here are a few examples of actual Kubernetes use cases across various industries: E-commerce : Traffic to e-commerce platforms varies, particularly during sales, promotions, and holidays. have adopted Kubernetes.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. Even when we do flush caches, the latency of flushing can itself be used as a channel! Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Architecture An explanatory description of Amazon Aurora’s architecture can be found in Vadim’s post written a few years ago.

AWS 52

AWS Database Serverless Storage 52

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all.

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Databricks Delta is a perfect example of this class. Event-driven data flow architecture. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

John McCalpin

JANUARY 22, 2018

Introduction: In December 2017, my colleague Damon McDougall (now at AMD) asked for help in porting the fused multiply-add example code from a Colfax report ( [link] ) to the Xeon Phi x200 (Knights Landing) processors here at TACC. A peculiar throughput limitation on Intel’s Xeon Phi x200 (Knights Landing). cmpl $1000000000, %eax.

Latency 40

Latency Hardware Code Testing 40

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. This impacts the predictability of a Domainâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. The following are examples of successful recovery situations actually encountered by Microsoft SQL Server Product Support Services personnel. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

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. an example is shown of the shortest of these: . hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

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,

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

MARCH 6, 2021

The Moto G4 , for example. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss). Our baseline, then, should probably trade lower throughput/higher-latency for packet loss.

Performance 68

Performance Benchmarking Network Mobile 68

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. The authors introduce the notion of multiple versions of a table accessed via array-style indices, using Pascal’s triangle as an example.

Network 44

Network Database Programming Hardware 44

John McCalpin

NOVEMBER 5, 2016

The art and science of microprocessor architecture is a never-ending struggling to balance complexity, verifiability, usability, expressiveness, compactness, ease of encoding/decoding, energy consumption, backwards compatibility, forwards compatibility, and other factors. This includes Haswell and newer cores.

Cache 40

Cache C++ Latency Hardware 40

Alex Russell

JULY 14, 2021

Hardware access APIs, notably: Geolocation. Beyond direct harms, interested parties should not consider browser choice as somehow orthogonal to other objectionable App Store policies; they are part and parcel of an architecture of control that tilts commerce into coercive, centralising App Stores. Web OTP (for easier/faster sign-in).

Google 121

Google Mobile Engineering Internet 121