Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical.

Best Practices 198

Best Practices Mobile Metrics Performance 198

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

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

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

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. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 194

DevOps Analytics Airlines Metrics 194

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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

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 246

AWS Efficiency Azure Cloud 246

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 202

Artificial Intelligence DevOps Hardware Virtualization 202

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). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 203

Monitoring Social Media IoT Metrics 203

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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 Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Dynatrace news.

AWS 136

AWS Metrics IoT Storage 136

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 105

Performance Monitoring Traffic Database 105

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 Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

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

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM.

Open Source 75

Open Source Database Scalability Software 75

n0derunner

SEPTEMBER 17, 2018

As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. It is the shared storage that often causes performance issues for data bases which are otherwise separated across nodes. The idea here is to simulate the two main storage workloads of a DB.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Network latency. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

Dotcom-Montior

OCTOBER 6, 2021

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. Incident Response.

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. At werner.ly Syndication.

AWS 112

AWS Cloud Games Latency 112

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. 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.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 114

AWS Latency Storage Big Data 114

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

All Things Distributed

DECEMBER 3, 2009

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. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. blog comments powered by Disqus. Contact Info.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly Syndication. or rss feed.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 85

AWS Storage Cloud Big Data 85

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. This will rise in the coming year, according to industry analysts. Automation to Enhance AI Security Defence.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

DECEMBER 5, 2010

Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. At werner.ly Syndication. or rss feed.

Cloud 117

Cloud Internet Internet AWS 117

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