Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

IDC

APRIL 17, 2019

With hyperscale datacenters like Google, Microsoft and Amazon, cloud content apps can easily support a variety of storage and workload hardware to respond automatically to the ebb and flow of seasonal, batch or transactional content demands.

Agile 61

Agile Innovation Artificial Inteligence Cloud 61

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Hu's Place - HitachiVantara

JANUARY 10, 2019

Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms. A REST API is built directly into our VSP storage controllers. REST stands for “representational state transfer.”

Data Center 73

Data Center Strategy Data Storage 73

Hu's Place - HitachiVantara

JANUARY 3, 2019

Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems. Applications are becoming more modular, leveraging containers and microservices as well as virtualization and bare metal.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Openxcell

JUNE 9, 2023

Recently, Microservices have been mainly favored to fixate on these dilemmas. As the title implies, Microservices are about developing software applications by breaking them into smaller parts known as ‘services’. In this blog, let’s explore how to unlock Microservices in Node.js What are Microservices ? microservices?

Microservices 52

Microservices Software Review How To Systems Review 52

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. So how can the Kafka ecosystem help here?

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 96

IoT Google Cloud Scalability Microservices 96

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension.

Architecture 89

Architecture Programming Microservices Serverless 89

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Central data storage. Key industrial IoT platforms supporting PdM.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Confluent

SEPTEMBER 26, 2019

Apache Kafka is an event streaming platform that combines messages, storage, and data processing. explains in more detail why many new integration architectures leverage Apache Kafka instead of legacy tools like RabbitMQ, ETL, and ESB. Kafka Connect is a core component in event streaming architecture.

Analytics 20

Analytics Serverless Blockchain Microservices 20

Agile Engine

DECEMBER 3, 2023

The challenge: 5 seconds before the first meaningful render The legacy architecture underlying the company’s e-stores didn’t support high load speeds at scale. platform, our experts took ownership of the AWS account configuration and infrastructure architecture. Planning to modernize your cloud architecture?

UI/UX 52

UI/UX Budget Applications Technical Review 52

Altexsoft

MARCH 25, 2021

While REST focuses on request-response architecture, gRPC provides support for data streaming with event-driven architectures: server-side streaming, client-side streaming, and bidirectional streaming. They use numbers, not field names, to save storage. Which is especially valuable when working with microservices.

Microservices 75

Microservices Weak Development Team Comparison Load Balancer 75

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.

IoT 20

IoT Internet Weak Development Team Scalability 20

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems Review 63

Systems Review System Microservices Software Review 63

Datavail

AUGUST 23, 2022

Use cases include the industrial Internet of Things (IoT), gaming, and logging data. Use cases include high-traffic web applications, gaming applications, IoT, and media streaming platforms. MemoryDB is a durable in-memory database that offers Redis compatibility and is designed for applications with microservices architecture.

Cloud 40

Cloud Strategy Serverless Open Source 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

There are three major areas of support Cloud gate way for block, file and object storage with HNAS and HCP. HCP, Hitachi Content Platform, lets users securely move data to, from, and among multiple cloud services, and better manage use cases including data governance, IoT, and big data.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), The solution is the Akkio data locality layer, and “ sharding the shards ”!

Technical Review 36

Technical Review Technology Report Open Source 36

CircleCI

SEPTEMBER 10, 2021

In the past, storage was expensive, and normalizing your data saved storage. Their use cases vary, such as time-series data (like CPU use over time for multiple servers), financial data marketing, internet of things (IoT) data, and graph data. We call the definition of tables and rows a schema. SQL is robust. Conclusion.

Weak Development Team 118

Weak Development Team Scalability Engineering Storage 118

Altexsoft

JUNE 20, 2019

Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. For instance, GIS support suggests smooth coordinates storage and location data query. Additionally, you get an extended location data storage, higher performance and improved scalability.

Systems Review 85

Systems Review System Software Review Open Source 85

Progress

JANUARY 31, 2019

Being a Node developer can span across many different types of programming these days because Node can be used for so much, from frontend to backend, machine learning to IoT. Microservice Architecture. Basically, it provides secure cloud storage for your datastore to cache data from your backend systems and services.

Development 40

Development Microservices Serverless Scalability 40

Progress

FEBRUARY 1, 2019

Called jsMobileConf , this conference brought in speakers from Microsoft, Adobe, Google, and Progress to talk about topics such as serverless, IoT, native apps, AR/VR, mobile web, AI, and more. IndexedDb, WebSQL, local storage, SQLite, Service Workers… what to choose and when. Sage Franch : Blockchain Crash Course [ slides ].

IoT 40

IoT Blockchain Serverless Mobile 40

Altexsoft

JANUARY 6, 2022

If it’s feasible — or can be completed within the given time and budget frame — the next step would be investigating technologies and architecture to be used in the project. But that won’t be feasible without deploying extra servers, purchasing more storage space, and taking other measures to increase the capacity of the IT infrastructure.

Technical Advisors 64

Technical Advisors Technical Review Software Engineering Software Review 64

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! A clever architectural trick, leveraging this abstraction, is the use of Proxy Nodes for the Cassandra query path.

Technical Review 28

Technical Review Technology Report Open Source 28

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. And, while this is fairly simple to comprehend, it raises a big question: Are traditional database architectures a good fit for this emerging world?

Company 56

Company Software Retail Banking 56

Daniel Bryant

NOVEMBER 25, 2019

I will publish the remaining takeaways in a follow-up post, and this will focus on the operations, new architecture paradigms, and end user perspective. Back in Austin in 2017 there were a lot of vendors offering storage, networking, and security components for Kubernetes. Abhay Saxena rocking the KubeCon keynote stage 1.

Cloud 10

Cloud IoT Conference Network 10

CIO

JANUARY 24, 2024

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Each type and intricate architecture that characterizes Agent Swarms are tailored to specific functions and environments. Layered architecture is a commonly used pattern.

Artificial Inteligence 297

Artificial Inteligence Architecture Artificial Intelligence Machine Learning 297