Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 262

Engineering Systems Latency Metrics 262

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

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 246

Artificial Intelligence DevOps Hardware Virtualization 246

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 96

Storage AWS Virtualization Cloud 96

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Dynatrace news. Amazon Kinesis Video Streams.

AWS 200

AWS Metrics IoT Storage 200

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Citrix platform performance—optimize your Citrix landscape with insights into user load and screen latency per server.

Latency 164

Latency Performance Virtualization Infrastructure 164

DZone

JULY 10, 2019

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS.

Best Practices 138

Best Practices Latency Storage Tuning 138

The Netflix TechBlog

SEPTEMBER 10, 2024

The first was voice control, where you can play a title or search using your virtual assistant with a voice command like “Show me Stranger Things on Netflix.” (See KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Latency 230

Latency Cache Tuning Efficiency 230

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Dynatrace news. Amazon Kinesis Video Streams.

AWS 182

AWS Metrics IoT Storage 182

Dynatrace

JUNE 1, 2023

It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability.

Traffic 173

Traffic Website Latency DevOps 173

The Netflix TechBlog

MAY 5, 2021

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. Finally, once the encoded copy is prepared, this copy can be persisted by Netflix Drive to a persistent storage tier in the cloud.

Media 178

Media Storage Architecture Cloud 178

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s read latency, particularly as dataset sizes grow. The growth of Amazonâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Percona

MARCH 13, 2023

There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency). 50051 2.

Serverless 144

Serverless C++ Storage Servers 144

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 120

Database Logistics Availability Social Media 120

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 38

Cloud Traffic Database Network 38

All Things Distributed

OCTOBER 16, 2019

Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.

IoT 120

IoT Healthcare Internet Internet 120

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

Performance 121

Performance Latency Hardware Storage 121

All Things Distributed

MARCH 11, 2016

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. If customers have many tiny files, then storage and bandwidth don’t amount to much even if they are making millions of requests.

AWS 127

AWS Hardware Retail Virtualization 127

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 103

Performance Latency Cache Google 103

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The key specifications for the Lsv2 series virtual machines are shown in Table 1. They feature low latency, local NVMe storage that can directly leverage the 128 PCIe 3.0

Azure 42

Azure Virtualization Storage Benchmarking 42

All Things Distributed

OCTOBER 2, 2017

VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases.

Internet 110

Internet Internet AWS Performance 110

SQL Performance

FEBRUARY 26, 2020

The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. The Business Critical tier is designed for applications that require low I/O latency and higher HA requirements. Managed Instance provides two tiers for performance. GB per vCore. With only having 5.1

Azure 63

Azure Performance Storage Latency 63

Scalegrid

JANUARY 8, 2024

By enabling direct execution of AI algorithms on edge devices, edge computing allows for real-time processing, reduced latency, and offloading processing tasks from the cloud. Another significant trend is the expansion of edge computing in AI cloud computing.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 145

Tuning Cache Servers Benchmarking 145

ScaleOut Software

JULY 19, 2021

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. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Big Data Analytics Architecture 78

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

HammerDB

MAY 5, 2019

However in the Skylake microarchitecture (you can see a list of CPUs here ) the PAUSE instruction changed and in the documentation it says “the latency of the PAUSE instruction in prior generation microarchitectures is about 10 cycles, whereas in Skylake microarchitecture it has been extended to as many as 140 cycles.”

Testing 49

Testing Tuning Latency Storage 49

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

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

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

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 Google 52

VoltDB

SEPTEMBER 10, 2024

When organizations implement UNS, they create a virtual layer that brings disparate data systems together, accessible via one interface. Typically, this involves using software and data virtualization tools to aggregate data from different databases, applications, and storage repositories. How does Unified Namespace work?

IoT 52

IoT Architecture Scalability Analytics 52

The Morning Paper

DECEMBER 8, 2019

Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible. Traditional pointers address a memory location (often virtual of course). This means that the overheads of system calls become much more noticeable.

Hardware 56

Hardware Programming Media Storage 56

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