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. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. The Apdex score of 0.85

Traffic 173

Traffic Latency Website Virtualization 173

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

DZone

JULY 10, 2019

The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS. 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.

Best Practices 133

Best Practices Latency Storage Tuning 133

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). 5454 --listen-http=0.0.0.0:7676

Serverless 122

Serverless C++ Storage Latency 122

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 115

Storage AWS Virtualization Cloud 115

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoints can be physical (i.e.,

Monitoring 206

Monitoring Social Media IoT Metrics 206

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

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. 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. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 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 110

Performance Latency Cache Virtualization 110

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 140

Performance Latency Hardware Storage 140

Scalegrid

DECEMBER 16, 2019

We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. DigitalOcean specialized in SSD-based virtual machines called Droplets that are broken down into four simple categories.

Azure 187

Azure AWS Latency Database 187

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 Kinesis Data Analytics. Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS). Amazon Simple Storage Service (S3). Dynatrace news. Amazon Redshift.

AWS 136

AWS Metrics IoT Storage 136

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 Kinesis Data Analytics. Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS). Amazon Simple Storage Service (S3). Dynatrace news. Amazon Redshift.

AWS 133

AWS Metrics IoT Storage 133

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 118

Latency Performance Virtualization Infrastructure 118

All Things Distributed

OCTOBER 16, 2019

These places might have important data that could help us better understand earth and its history, as well as life on other planets. Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives. There's also the cost to send data to the cloud to consider.

IoT 126

IoT Healthcare Internet Internet 126

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

IO River

NOVEMBER 2, 2023

Movies and TV shows, which constitute 29% of the content, are expected to grow at a CAGR of 15% over the next five years, driving the need for robust CDN infrastructures.‍‍Static Part The major bulk of data transfer in video streaming is static content. It doesn’t change very often and is generally not affected by user sessions.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

‍Static Part The major bulk of data transfer in video streaming is static content. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged.

Architecture 52

Architecture Performance Internet Internet 52

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

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

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 Virtualization 52

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 following diagram illustrates a typical workflow. What’s missing in this picture?

IoT 78

IoT Analytics Big Data Architecture 78

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

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. The basic tier provides up to 5 DTUs with standard storage. DTU Pricing Tier. vCore Pricing Tier. GB per vCore. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 139

Tuning Cache Servers Benchmarking 139

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

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. In short, any data that is written must be consistent with the data present. Why duplicate the data?

Traffic 128

Traffic Scalability Database Servers 128

IO River

NOVEMBER 2, 2023

Add-on Services - Special services can include capabilities like security features (WAF, Origin Shield), resource capping (rate limiting), image/video optimization, and more.CDN Pricing Examples1) Amazon Cloudfront’s data routing prices are determined according to amount of traffic and region.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

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 48

Testing Tuning Latency Storage 48

Adrian Cockcroft

APRIL 5, 2023

by Adrian Cockcroft Three windows lined up to let the light in through a door in the Madrassa, Marrakech — Picture by Adrian The existing approaches to carbon measurement provide delayed data for carbon accounting that is more akin to billing information in the way it is structured and queried.

Energy 52

Energy Metrics Cloud Operating System 52

The Morning Paper

DECEMBER 8, 2019

(Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. 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.

Hardware 56

Hardware Programming Media Storage 56

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

IO River

NOVEMBER 2, 2023

Some are standard, offering the basic services you need to ensure traffic routing and low latency, while others offer premium services like advanced security capabilities. Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

VoltDB

JULY 10, 2018

Application State Management and Data-Driven Decision Making. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

Application State Management and Data-Driven Decision Making. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40