Cloudera

NOVEMBER 16, 2021

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc).

Serverless 106

Serverless Lambda Microservices KPI 106

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Modus Create

MAY 15, 2023

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. So here are five questions you should ask before adopting the serverless architecture: 1.

Serverless 98

Serverless Lambda AWS Architecture 98

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.

Serverless 73

Serverless Microservices Lambda IoT 73

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Scalable Data Science with Apache Hadoop and Spark , July 16. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 65

Course Training Artificial Inteligence Software Review 65

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Scalable Data Science with Apache Hadoop and Spark , July 16. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 49

Course Training Artificial Inteligence Software Review 49

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

O'Reilly Media - Ideas

JANUARY 2, 2019

Developing Incremental Architecture , February 11-12. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17. Google Cloud Platform (GCP) for AWS Professionals , January 18. Domain-Driven Design and Event-Driven Microservices , January 22-23. Mastering C# 8.0

Course 58

Course Artificial Inteligence Training Blockchain 58

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Fundamentals of Data Architecture , May 20-21. Introduction to Google Cloud Platform , June 3-4. Scalable Concurrency with the Java Executor Framework , May 30. Analyzing Software Architecture , April 16. Getting Started with Cloud Computing , May 16.

Course 47

Course Artificial Inteligence Training Google Cloud 47

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. You can map the conversion with the help of cloud providers.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. Unfortunately, misconfiguration of these resources can introduce risk to the application.

Applications 52

Applications Cloud Software Review Systems Review 52

OTS Solutions

SEPTEMBER 5, 2023

The cloud environment lends itself well to Agile management, as it enables easy scalability and flexibility, providing a perfect platform for collaboration, automation, and seamless integration of development, testing, deployment, and monitoring processes. One of the key benefits is increased speed and agility.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Scalable Concurrency with the Java Executor Framework , March 12. Scalable Programming with Java 8 Parallel Streams , March 27. Software Architecture by Example , February 21. Microservice Collaboration , March 7.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

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

TechCrunch

DECEMBER 13, 2022

. “Developers tape together various open source projects, home-grown proxy layers and combine them with disparate services from cloud-specific vendors like Amazon Web Services, Microsoft Azure and Google Cloud Platform and content delivery networks like Cloudflare. “Ngrok allows developers to avoid that complexity.”

Firewall 240

Firewall Serverless Load Balancer Internet 240

Prisma Clud

JUNE 20, 2023

This transformative era presents incredible opportunities for organizations to unlock their potential and reap the benefits of scalability, flexibility and enhanced security. 3 Foundational Takeaways Let's explore three vital learnings that have emerged in this dynamic landscape, shaping the way organizations approach cloud security.

Cloud 106

Cloud Development Team Review Serverless Linux 106

Sunflower Lab

MARCH 29, 2018

Understand the pros and cons of monolithic and microservices architectures and when they should be used – Why microservices development is popular. The traditional method of building monolithic applications gradually started phasing out, giving way to microservice architectures. What is a microservice?

Microservices 60

Microservices Architecture Applications Software Review 60

Trigent

MARCH 29, 2023

Rather it requires a conscious effort to design and develop an architecture that delivers an integrated experience regardless of the distribution partners. Microservices, containers, and other serverless technologies enable insurers to easily update and maintain their systems and quickly respond to changes in the market.

Insurance 95

Insurance Strategy Serverless Big Data 95

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Perficient

JULY 20, 2023

Introduction In recent years, cloud computing has revolutionized the way businesses manage their IT infrastructure. It offers unparalleled scalability, flexibility, and cost-effectiveness. However, with the convenience of the cloud also comes the challenge of optimizing cloud costs.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends 134

Trends Technical Review Technology Software Review 134

Openxcell

FEBRUARY 8, 2023

The Framework of.Net Core can be used to develop various types of applications like desktop, web, mobile, cloud, Internet of Things, microservices, etc. It is built to be scalable, light, and quick. The most significant ones that are relevant to backend and service-based architectures are shown below. ing systems.

.Net 52

.Net Comparison Windows Open Source 52

Confluent

MAY 22, 2019

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. This growth depends greatly on the overall reliability and scalability of IoT deployments. An end-to-end architecture for the Internet of Things.

IoT 96

IoT Google Cloud Scalability Microservices 96

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions.

Serverless 68

Serverless Azure AWS Architecture 68

Kentik

MAY 14, 2019

Regardless of the exact “whys,” adoption of cloud architectures doesn’t happen in a vacuum. A substantial percentage of cloud services are deployed to extend, supplement, or enhance existing on-prem infrastructure. The Reality of Multi-Cloud Visibility Today.

Cloud 103

Cloud Azure How To AWS 103

O'Reilly Media - Ideas

OCTOBER 19, 2021

Similarly, it would be pointless to pretend that a data-intensive application resembles a run-off-the-mill microservice which can be built with the usual software toolchain consisting of, say, GitHub, Docker, and Kubernetes. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch.

DevOps 142

DevOps Data Software Review Technical Advisors 142

d2iq

APRIL 3, 2023

With top-to-bottom declarative workflow, D2iQ provides centralized multi-cluster fleet management across any environment, including cloud, hybrid cloud, on-premise, air-gapped environments, and at the edge.

Government 52

Government Cloud Infrastructure Google Cloud 52

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. 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. Kafka architecture. Kafka cluster architecture. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Existek

JANUARY 27, 2023

Scalability is also a significant challenge for financial services software development. It provides a comprehensive set of features for building enterprise applications and is widely used for creating web applications, RESTful web services, and microservices. Spring is a popular open-source framework for building Java applications.

Software Development 52

Software Development Trends Technology Software 52

The Agile Monkey

SEPTEMBER 14, 2018

Serverless is an evolution of the microservices concept. In a microservices architecture, a big software system is broken into many independent smaller services that work together to bring value. In addition to the cost reduction, lambda functions enable virtually unlimited scalability.

Serverless 40

Serverless Lambda Microservices Google Cloud 40

Confluent

MARCH 4, 2019

We want our customers to fully experience the cloud by taking advantage not only of the security and scalability features of it but also the ability to decrease TCO based on which cloud provider they choose to use. This architecture is functional but has lots of drawbacks. Secondly, this architecture is very costly.

Cloud 87

Cloud Fractional CTO Software Review Banking 87

Bernd Rucker

AUGUST 18, 2017

The latter might need computing power for the PDF creation, so a scalable serverless function might make sense here. The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift. Serverless?

Serverless 40

Serverless Cloud Azure AWS 40

Confluent

OCTOBER 10, 2019

Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT). Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. End-to-end enterprise integration architecture.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

AUGUST 30, 2018

The most popular are Chef, Puppet, Azure Resource Manager, and Google Cloud Deployment Manager. Microservices. The microservice architectural approach entails building one application as a set of independent services that communicate with each other, but are configured individually. Cloud infrastructure.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

O'Reilly Media - Ideas

DECEMBER 7, 2021

In every industry, at least 75% of the respondents work for organizations using the cloud. Amazon Web Services (AWS) (62%), Microsoft Azure (48%), and Google Cloud (33%) are still the big three, though Amazon’s market share has dropped slightly since last year (down from 67%). Most respondents use multiple cloud providers.

Cloud 135

Cloud eCommerce Azure Google Cloud 135