Percona Community

JULY 24, 2020

Hello, my name is Andrey Sergeyev and I work as a Head of IoT Solution Development at Mail.ru We all know there is no such thing as a universal database. Especially when the task is to build an IoT platform that would be capable of processing millions of events from various sensors in near real-time. Cloud Solutions.

IoT 52

IoT Database Cloud Processing 52

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 150

Azure Cloud Big Data Virtualization 150

Dynatrace

OCTOBER 11, 2021

The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF also has relevance in IoT and file processing tasks.

Google 226

Google Cloud Serverless Azure 226

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. A new record entering a database table.

Lambda 183

Lambda AWS Serverless Hardware 183

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

VoltDB

JANUARY 12, 2018

So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to turn over a new leaf in 2018 and build on their successes. The post Database Resolutions for 2018 appeared first on VoltDB. Create Better, Real-Time Customer Experiences.

Database 40

Database Blockchain Healthcare Transportation 40

VoltDB

JANUARY 12, 2018

So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to turn over a new leaf in 2018 and build on their successes. The post Database Resolutions for 2018 appeared first on VoltDB. Create Better, Real-Time Customer Experiences.

Database 40

Database Blockchain Healthcare Transportation 40

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification. If your company is pursuing AWS certification for a team, AWS Certification Exam Vouchers make the process easier. Machine learning.

AWS 214

AWS Best Practices Analytics Cloud 214

ScaleOut Software

APRIL 6, 2021

The unique capabilities of real-time digital twins can provide important advances for numerous applications, including security, fleet telematics, IoT, smart cities, healthcare, and financial services. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. AI chatbots can handle complex processes and prompt answering, thereby providing seamless digital experiences with a company. Internet of Things (IoT). How does IoT work?

Blockchain 59

Blockchain IoT Development Serverless 59

Adrian Cockcroft

NOVEMBER 26, 2023

Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. In this session, SK ecoplant shares how they were able to unlock the power of digital technologies to improve natural resource management and reduce waste.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Hardware 213

The Morning Paper

FEBRUARY 23, 2020

Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. Coordinators have total freedom to decide how many tokens to charge a client to process a query… But what about…? SQL processing for publishers.

Blockchain 94

Blockchain Internet Internet IoT 94

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. We push as much data processing as possible onto warehouse-scale computers and systems software. Industrial IoT use cases are an example here. Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

Enprowess

SEPTEMBER 7, 2021

IoT-based applications. These frameworks are the fundamentals of the MERN stack, which comprises: MongoDB – document-based NoSQL database. It makes database calls, handles requests and authentication from the browser, etc. Reactjs makes API calls and processes in-browser data. Developing API. Features of Node.JS.

Open Source 52

Open Source Virtualization Programming Servers 52

Testsigma

FEBRUARY 12, 2021

The whole process is time-consuming because testers will test on multiple browsers, settings, and devices. We have software that communicates with different components, such as APIs, databases, and hardware, and data flows in real-time across many connected devices in the IoT environment (internet of things).

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Alex Russell

APRIL 29, 2021

Helps media apps on the web save battery when doing video processing. Coordination APIs allow applications to save memory and processing power (albeit, most often in desktop and tablet form-factors). Particularly important in industrial, IoT, health care, and education scenarios. They may have shipped in iOS 14.5 Web Serial.

Media 145

Media Games Education Engineering 145

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 123

Lambda Cloud IoT AWS 123

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 138

Cloud Big Data AWS Analytics 138

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Analytics 152

Analytics Availability Media Social Media 152