Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

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 Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 200

Monitoring Social Media IoT Metrics 200

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The primary goal of ITOps is to provide a high-performing, consistent IT environment.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database.

Performance 106

Performance Monitoring Traffic Database 106

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. After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Amazon Kinesis Data Analytics. Requirements.

AWS 135

AWS Metrics IoT Storage 135

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. After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Amazon Kinesis Data Analytics. Requirements.

AWS 132

AWS Metrics IoT Storage 132

All Things Distributed

OCTOBER 16, 2019

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. Sometimes an internet connection is weak or not available at all, as is often the case in remote locations.

IoT 126

IoT Healthcare Internet Internet 126

All Things Distributed

JUNE 7, 2017

Some applications – medical equipment, industrial machinery, and building automation are just a few – can't rely exclusively on the cloud for control, and require some form of local storage and execution. Some applications may also rely on timely decisions: when maneuvering heavy machinery, an absolute minimum of latency is critical.

AWS 118

AWS IoT Lambda Storage 118

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. MongoDB replica sets enable data redundancy and automatic failover, setting the stage (there’s that term again) for high availability. For starters, MongoDB Community lacks the advanced security features available in MongoDB Enterprise.

Open Source 77

Open Source Database Scalability Software 77

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP monitoring allows you to test availability and performance from around the world.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dotcom-Montior

OCTOBER 6, 2021

Availability. One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. Performance. Monitoring.

Engineering 67

Engineering DevOps Monitoring Google 67

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Contact Info. Werner Vogels.

AWS 112

AWS Cloud Games Latency 112

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

DECEMBER 3, 2009

We have expanded the AWS footprint in the US and starting today a new AWS Region is available for use: US-West (Northern California). This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving Storage Costs Down for AWS Customers.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 11, 2011

With this change, we will improve the granularity of pricing information you receive by introducing a Spot Instance price per Availability Zone rather than a Spot Instance price per Region. Customers whose bids exceed the Spot price gain access to the available Spot Instances and run as long as the bid exceeds the Spot Price.

AWS 85

AWS Storage Cloud Big Data 85

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Driving Storage Costs Down for AWS Customers.

AWS 111

AWS Government Big Data Cloud 111

Testsigma

FEBRUARY 12, 2021

Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring. million Apple App Store applications in the 3rd quarter of 2020, are available. billion in 2020 to USD 16.9

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

HammerDB

DECEMBER 5, 2020

In the days before highly performant SSDs and persistent memory, database benchmarks had a significant challenge in comparing performance due to the available I/O performance. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

DECEMBER 5, 2010

I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. Driving Storage Costs Down for AWS Customers. Comments (). Syndication.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JULY 13, 2010

Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. Cluster Compute Instances can be grouped as cluster using a "cluster placement group" to indicate that these are instances that require low-latency, high bandwidth communication.

Cloud 118

Cloud AWS Automotive Latency 118

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Now CPU, memory, and storage resources can grow without predefined limits. At some point, scaling up becomes costly, and workloads grow beyond what even a high end server can handle.

Network 40

Network Servers Analytics Storage 40

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. The Asia Pacific (Singapore) region launches with two Availability Zones. Go to [link] for pricing.

AWS 61

AWS Cloud Latency Storage 61

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Modern network performance and availability. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

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

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

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

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency.

Latency 243

Latency Storage Big Data Tuning 243

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

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. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. No documentation is available for third-party web developers from any of the largest WebView IAB (ab)users. How can that be?

Google 121

Google Mobile Engineering Internet 121

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI.

Performance 103

Performance Cache Metrics Network 103

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167