CloudSphere

OCTOBER 29, 2019

By migrating services, resources and applications to the cloud, companies are attaining greater agility, scalability, redundancy and cost savings. The advantages of cloud computing are only expanding. Cisco predicts global cloud IP traffic will account for 95 percent of all data center traffic by 2021.

Google Cloud 40

Google Cloud Cloud Azure AWS 40

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. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients. Data 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. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

OTS Solutions

JUNE 9, 2023

Spring Framework Spring framework is an open-source and widely used enterprise framework for building Java applications. It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

Spring Framework Spring framework is an open-source and widely used enterprise framework for building Java applications. It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications.

Enterprise 130

Enterprise Applications Development Scalability 130

High Scalability

JUNE 27, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy?

Open Source 78

Open Source Report Cloud Trends 78

Exadel

FEBRUARY 20, 2023

Major cloud service providers have paved a way for AI in the cloud. If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Amazon For Cloud Artificial Intelligence Amazon began by making storage and virtual machines.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Openxcell

JANUARY 6, 2023

The term “cloud computing” refers to an abstraction of computation, storage, and network infrastructure that has been put together as a platform for the rapid deployment and flexible scaling of systems and applications. Self-service is essential to cloud computing since it allows users to get started right away by just filling out a web form.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Technical Example : Quantum Cloud Computing Scenario: Quantum cloud services leverage quantum processors to solve complex problems like factorization or optimization.

Trends 52

Trends Innovation Cloud Serverless 52

Mobilunity

MAY 20, 2021

It is not so easy to hire a cloud engineer locally. Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Microsoft Azure.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Capgemini

JANUARY 17, 2023

Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines. Many data and technology leaders believe it’s not enough to think about the cloud in the singular sense — instead, they think about building a multi-cloud environment.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

TIBCO - Connected Intelligence

SEPTEMBER 24, 2020

offers a loosely coupled architecture that enables users to use other TIBCO solutions and open-source options for clustering, caching, and persistence. Quickly moving from a trend to a necessity, being cloud-native has become an integral part of every enterprise business running in the IT industry. Flexible Design.

Cloud 49

Cloud Open Source Google Cloud Scalability 49

Capgemini

MARCH 13, 2023

Intel also launched its 4 th Gen Intel Xeon Scalable processors with Intel vRAN Boost, which can deliver capacity gains and power savings for telcos. Microsoft launched ‘Azure Operator Nexus,’ a hybrid cloud platform that allows CSPs to run their carrier-grade workloads both on-premises and on Azure.

Energy 52

Energy Wireless Artificial Inteligence Technical Review 52

Mentormate

JANUARY 17, 2019

Along the way, I learned that there was much more to do and learn, so I tackled the online training and free online test for the TCO & Cloud Economics and Well-Architected Framework. For the latter, I found it to be a good framework for thinking about “Enterprise Ready” topics such as scalability, security, and reliability.

Cloud 67

Cloud AWS Lambda Conference 67

Openxcell

JUNE 21, 2022

Businesses usually go for data migration when they have to enhance their operational features and require more scalability to improve or enrich user experience. Clients are also switched from source to target database and the source database is liquidated. Involves easy migration to the cloud. Azure DocumentDB.

Tools 52

Tools Data Azure AWS 52

Cloud That

NOVEMBER 23, 2022

What is Azure DevOps? Core Azure DevOps Services. Microsoft Azure DevOps Server. Pricing for Azure DevOps. Azure DevOps: Sign up. Azure DevOps Services. Azure provides cloud-based DevOps services. Because of the rising need for cloud-based technology, DevOps tools have also moved to the cloud.

Azure 82

Azure DevOps Testing Google Cloud 82

John Snow Labs

JUNE 1, 2023

John Snow Labs’ Healthcare NLP is an open source text processing NLP library for Python , Java, and Scala. It provides production-grade, scalable, and trainable versions of the latest research in Natural Language Processing.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. First of all, enterprise solutions have to be highly scalable and perform well. Also, they are all open-source and platform-independent, meaning that users don’t need special hardware or software to run programs in these languages.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Openxcell

APRIL 7, 2023

H2O.ai, DataRobot, and Google. Cloud Service Provides tools and services for building, training, and deploying Machine Learning Models Providing scalable and cost-effective infrastructure Amazon Web Services, Google Cloud Platform, and Microsoft Azure What do Machine Learning Tools do?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

TechCrunch

DECEMBER 13, 2022

An open source package that grew into a distributed platform, Ngrok aims to collapse various networking technologies into a unified layer, letting developers deliver apps the same way regardless of whether they’re deployed to the public cloud, serverless platforms, their own data center or internet of things devices.

Firewall 240

Firewall Serverless Load Balancer Internet 240

Exadel

DECEMBER 4, 2019

We found that our commitment to agile development, open source and innovation-based technologies helped organizations create and maintain amazing products and platforms the most effectively. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). AEM Authoring Toolkit. International Expansion.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Altexsoft

JULY 1, 2021

IBM Watson Studio allows developers to construct, train and deploy machine learning models across the cloud environment of their choosing, without requiring machine learning or data science skills. Microsoft Azure Machine Learning (Azure ML). Google Cloud ML. Microsoft Azure Windows Virtual Desktop.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Perficient

MAY 11, 2023

In the guide, we speak to effective cloud-agnostic tools to help you achieve your goals. Strengths: Cloud Agnostic : Terraform’s superpower is that it is cloud agnostic. Whether you’re targeting Azure, AWS, or Red Hat, Terraform has got you covered. It’s like having your own personal code checker.

Weak Development Team 69

Weak Development Team Azure Software Review DevOps 69

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. Azure Functions by Microsoft.

Serverless 68

Serverless Azure AWS Architecture 68

Altexsoft

JANUARY 22, 2020

Originally developed by LinkedIn as a messaging queue application, Apache Kafka been open-sourced and donated to Apache in 2011. After that, Kafka evolved into an open-source data-streaming platform. Amazon Kinesis Streams is a scalable and customizable solution for processing and analyzing data streams.

Analytics 20

Analytics Data IoT Analysis 20

Existek

JANUARY 27, 2023

Scalability is also a significant challenge for financial services software development. Another trend expected to shape software development in the financial services industry is the increasing use of open-source software. Spring is a popular open-source framework for building Java applications.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. The software part is open-source, free of charge, and easy to set up. Scalability. And, if serious, the deserved popularity needs a more detailed explanation.

Big Data 59

Big Data Data Google Cloud Storage 59

O'Reilly Media - Ideas

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

DevOps 143

DevOps Data Software Review Technical Advisors 143

O'Reilly Media - Ideas

MARCH 1, 2023

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. Together, this group represents 97% of cloud platform content usage.

Trends 136

Trends Technical Review Technology Software Review 136

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. It can be hosted on Linux, AWS, or Google Cloud. Open-source.Net Core platform is open-sourced.

.Net 52

.Net Comparison Windows Open Source 52

Strategy Driven

MAY 26, 2021

Large corporations such as Amazon, Microsoft, and Google apply their own machine learning tools to their own business and have developed consumer-level AI suites for use by other businesses that don’t require knowledge of complicated AI programming and can be used for specific data analysis and modeling. Microsoft Azure AI.

Artificial Inteligence 41

Artificial Inteligence Machine Learning Tools Azure 41

Cloud That

NOVEMBER 28, 2022

Kubernetes has gained so much popularity due to being an open-source tool and ephemeral in nature. Here in this blog, we are going to see how we can do a seamless workload migration with no downtime to a new node pool using GKE (Google Kubernetes Engine). Step 2: Activate Cloud Shell. Step 1: Enable Kubernetes Engine API.

Authentication 67

Authentication Cloud Google Cloud Engineering 67

Altexsoft

DECEMBER 4, 2020

Besides, self-scripted tools become a necessity if a source or target location is not supported by any other software. Among cons of the do-it-yourself approach is the need for coding skills, extra time your engineers have to spend on scripting, and scalability issues. Cloud-based tools. Performance and scalability.

Software Review 69

Software Review Software Data Technical Review 69

Cloud That

NOVEMBER 28, 2022

Kubernetes has gained so much popularity due to being an open-source tool and ephemeral in nature. Here in this blog, we are going to see how we can do a seamless workload migration with no downtime to a new node pool using GKE (Google Kubernetes Engine). Step 2: Activate Cloud Shell. Step 1: Enable Kubernetes Engine API.

Authentication 52

Authentication Cloud Google Cloud Engineering 52

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Plus the name sounded cool for an open-source project.”. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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 40

Serverless Cloud Azure AWS 40

ParkMyCloud

SEPTEMBER 24, 2019

Earlier this year at the Google Cloud Next event, Google announced the launch of its new managed service offering for multi-cloud environments, Google Cloud Anthos. . Anthos embraces open-source technology. Google’s vision is to integrate the family of cloud services together. .

Google Cloud 10

Google Cloud Cloud Azure AWS 10