Datavail

JULY 6, 2021

Containers are extremely scalable because of their relatively small deployment size. Additionally, containers are the building blocks in the implementation of Microservice Application Architecture. Containers are more lightweight and more agile because they run on a shared operating system kernel. Supporting microservices.

Microservices 114

Microservices DevOps Applications Agile 114

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. ML and AI in mobile apps have become the norm.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. ML and AI in mobile apps have become the norm.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Datavail

MARCH 17, 2022

To increase business agility, improve scalability and cut costs, more and more companies are moving their data and applications to the cloud. One common refactoring technique is to break up a monolithic application into many interconnected microservices. Repurchasing. a SaaS product).

Cloud 52

Cloud Weak Development Team Software Review Technical Review 52

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , March 4-5. Agile for Everybody , February 20. Intermediate SQL for Data Analysis , February 27. AI and machine learning.

Course 60

Course Artificial Inteligence Training Blockchain 60

iTexico

APRIL 15, 2020

The real transformation is in the adoption of serverless architecture, microservices, workflow automation. Through Agile methodologies and teaming, our adaptive teams always stay focused to deliver on time and budget. Google, last year was very profitable. The remote integrated teams become highly collaborative and more productive.

Lambda 52

Lambda Serverless AWS Case Study 52

Mobilunity

APRIL 5, 2021

The software built with this type is highly scalable, robust, easily maintainable, and associated with shorter development costs and time. It is a collection of modular services that communicate with each other and create a plug-n-play environment, which allows for many time-to-market advantages and business agility. Microservices.

Architecture 52

Architecture Software Review Technical Advisors Technical Review 52

Bernd Rucker

APRIL 6, 2020

Webinar FAQ for Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation Answering leftover questions from my webinar in March 2020 On Wednesday, March 11, 2020, I conducted the webinar titled “ Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation ”. Why do I do this?—?what

Microservices 52

Microservices Architecture Technical Review Engineering 52

Mobilunity

JULY 16, 2021

Agile continuous delivery in software development involves several methodologies to make all the processes smooth, fast, and effective. Continuous Integration Microservices. The web-based repository allows tracking issues and analysis. The tool provides all necessary features for easy and scalable CI/CD pipeline integration.

DevOps 98

DevOps Continuous Delivery Continuous Integration Software Development 98

O'Reilly Media - Ideas

APRIL 3, 2019

Hands-On Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , May 10. Sentiment Analysis for Chatbots in Python , May 14. TensorFlow Extended: Model Build, Analysis, and Serving , May 21. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. This way, they are deployed agnostic to the target environment.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Mobilunity

SEPTEMBER 28, 2021

While cross-platform support, agility, and scalability are a must for modern solutions, a vast number of businesses still tend to run on outdated software, aka legacy software, for decades. In turn, it helped to increase the scalability of projects and made them more flexible. Engage in gradual replacement.

Applications 52

Applications Technical Review Software Review Systems Review 52

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps principles Like DevOps, DataOps takes its cues from the agile methodology. They self-organize around goals and seek to reduce “heroism” in favor of sustainable and scalable teams and processes. What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

Mobilunity

JULY 29, 2021

Why do companies use microservices with DevOps/cloud solutions, and what are the advantages and possible pitfalls of microservices integration? Microservices in a Nutshell. The sole build pipeline creates a bottleneck for releasing too big and too complex products, and here’s where microservices come into play.

Continuous Delivery 52

Continuous Delivery Microservices DevOps Architecture 52

Openxcell

MARCH 15, 2023

. – Evans Data The state of software development in 2023 The year 2022 will be remembered for the convergence of business and technology under the banner of value stream management, with an increased emphasis on safety and security in software, and the increased use of microservices. Currently, software development has a market value of $260.38

Software Development 52

Software Development Software Review Trends Software 52

InfoBest

FEBRUARY 15, 2024

This unique architecture not only facilitates the creation of scalable apps but also empowers developers with the flexibility to handle data-intensive tasks, microservices, and real-time web and mobile applications. is a platform-agnostic JavaScript runtime that enables developers to build fast, scalable network applications.

.Net 52

.Net Software Development Technology Software 52

Apiumhub

JANUARY 19, 2021

Mark is a GSAS speaker , Apium Academy Professor and an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems in a variety of technologies.

Architecture 86

Architecture Software Review Software Microservices 86

The Agile Manager

DECEMBER 31, 2016

Platforms are conceptually popular with investors: in theory, a platform makes the mundane portions of a business efficient, scalable and adaptable, allowing a company to release the creative talents of its people to pursue growth and innovation. Replatforming is all the rage these days.

Minimum Viable Product 40

Minimum Viable Product Innovation Software Infrastructure 40

CloudSphere

FEBRUARY 1, 2024

It’s about staying agile, scalable, and competitive. Scalability: Cloud computing provides businesses with the ability to quickly scale up or down their IT requirements as and when required, ensuring they are not paying for resources they aren’t using.

Trends 52

Trends Artificial Inteligence Cloud Serverless 52

xmatters

FEBRUARY 17, 2023

Traditional incident management models cannot meet the needs of agile cultures because of the manual tasks in the incident response workflow.” In modern microservices applications, the failure point could happen among any of the hundreds of clusters—possibly spread across multiple cloud platforms.

Enterprise 52

Enterprise Software Review Systems Review DevOps 52

O'Reilly Media - Ideas

MARCH 12, 2019

Our insights come from many sources: our own reading of the industry tea leaves, our many contacts in the industry, our analysis of usage on the O’Reilly online learning platform , and data we assemble on technology trends. It requires follow-up analysis, much internal debate, and a healthy dose of realism in response to industry hype.

Artificial Inteligence 11

Artificial Inteligence Blockchain Artificial Intelligence Architecture 11

James Shore

NOVEMBER 12, 2020

This is a pre-release excerpt of The Art of Agile Development, Second Edition , to be published by O’Reilly in 2021. Cargo Cult Agile. Okay, you’re Agile now,” your manager says, before vanishing in a puff of golf-scented smoke. Your team is building the UI, and several other teams are building the back-end microservices.

Weak Development Team 86

Weak Development Team UI/UX Coaching Software Review 86

Trigent

NOVEMBER 24, 2021

The challenges posed by the pandemic are urging businesses to be agile and responsive. To deal with the disruptions caused due to the pandemic, organizations are now dependent on a highly available and scalable Electronic Data Interchange (EDI) more than ever before. You need the agility to turn on a dime. Making a case for API.

Systems Review 97

Systems Review System B2B Technical Review 97

Perficient

JANUARY 31, 2023

In addition, the platform boosts business agility by empowering a wide variety of users to quickly connect to and build out your digital landscape using an API-led and event-driven approach and by offering a broad range of architectural flexibility and choice.

Cloud 64

Cloud Microservices IoT Serverless 64

Trigent

SEPTEMBER 26, 2021

Cloud computing in finance sector is driving agility for enterprises, and everyone from business leaders to forward-thinking CIOs is using it to support their business strategies to improve performance and returns. It is dynamic and flexible, and the services are highly scalable. Just about everyone is talking about the cloud.

Cloud 52

Cloud Enterprise Banking Off-The-Shelf 52

TIBCO - Connected Intelligence

OCTOBER 28, 2019

This evolution continues today as emerging cloud-native technologies create applications that are more accessible, scalable, and adaptable and thus, more valuable because overall business agility is increased. This report is available to Ovum clients to download as part of their subscription.

Report 5

Report Architecture Cloud Microservices 5

xmatters

FEBRUARY 17, 2021

Traditional incident management models cannot meet the needs of agile cultures because of the manual tasks in the incident response workflow.”. In modern microservices applications, the failure point could happen among any of the hundreds of clusters—possibly spread across multiple cloud platforms.

Enterprise 52

Enterprise Software Review Systems Review DevOps 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Apiumhub

OCTOBER 18, 2022

We are proud to have had a lineup of speakers from different nationalities, including: Mark Richards is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. Eswaran Thandi has over 2.5

Software Review 52

Software Review Architecture Technical Review Software 52

Apiumhub

OCTOBER 16, 2018

It provides a flexible architecture for scalable distributed training, and is extensible enough to run on a wide range of hardware configurations. It is used mainly for sentiment analysis, machine translation, and speech recognition. Microservices vs Monolithic architecture. Almost-infinit” scalability. Choose Wisely.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Web Development Software Review 75

Apps Associates

JUNE 22, 2022

Introducing Amazon EC2 I4i instances – Designed for storage I/O intensive workloads, I4i instances are powered by 3rd generation Intel Xeon Scalable processors (code named Ice Lake) with an all-core turbo frequency of 3.5 New Instance Types: I4i. GHz, equipped with up to 7.6 GHz, equipped with up to 7.6 GHz, equipped with up to 7.6

AWS 52

AWS IPv6 Storage Serverless 52

Openxcell

DECEMBER 27, 2021

include its speed, scalability, and the fact that developers can use it to develop both frontend and backend with a single unified stack. Highly scalable. applications operate in a non-blocking or asynchronous way, they are highly scalable. Highly scalable. Highly flexible for microservice development. As Node.js

Technical Review 52

Technical Review Technology Software Review Open Source 52

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. Also, it’s a great option for startups with sprint-based Agile development to build MVP. Scalability challenges. MySQL was not built with scalability in mind,which is inherent in its code. Vertical scalability is a hallmark of PostgreSQL, unlike MySQL DBMS.

Systems Review 85

Systems Review System Software Review Open Source 85

Instaclustr

OCTOBER 14, 2019

From Zero Copy Faster Streaming support to Virtual Tables and Audit Logging) will offer better operability, scalability, latencies, and recoveries. Cassandra-sstable-tools, for offline analysis of SSTables, including data model and compaction tuning, get it here: [link]. How good is that! for the preview release.

Technical Review 36

Technical Review Technology Report Open Source 36

Altexsoft

FEBRUARY 19, 2019

Switching to Agile methods helped reduce programming cycles to weeks and introduced steady-interval delivery. While on-premises services benefit building process flexibility, hosted solutions spare the setup hardships offering greater scalability. PagerDuty and Bugzilla), static analysis tools, legal compliance tools, etc.

Continuous Integration 90

Continuous Integration Comparison Weak Development Team Software Review 90

Instaclustr

OCTOBER 14, 2019

From Zero Copy Faster Streaming support to Virtual Tables and Audit Logging) will offer better operability, scalability, latencies and recoveries. Cassandra-sstable-tools , for offline analysis of SSTables, including data model and compaction tuning, get it here: [link]. How good is that! for the preview release.

Technical Review 28

Technical Review Technology Report Open Source 28

Bernd Rucker

DECEMBER 19, 2017

These are valid questions which recently we get asked a lot, especially in the context of microservices , modern SOA initiatives or domain-driven design. Isolation/Scalability : Every service has a dedicated engine. In Microservices architectures (or similar) this ownership is typically given to teams building the service.

Architecture 40

Architecture Engineering Weak Development Team SOA 40