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

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Self-service is essential to cloud computing since it allows users to get started right away by just filling out a web form. Types of cloud computing.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase offers cloud storage for storing and serving user-generated content such as images, videos, and other files.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Exadel

FEBRUARY 20, 2023

Amazon For Cloud Artificial Intelligence Amazon began by making storage and virtual machines. More was yet to come for AI in the cloud. Let’s race through these vendors and see what they’re up to. Want to get maximum value from AI for your business? Request an AI proof of concept consultation!

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 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

Apiumhub

MARCH 12, 2024

This event-driven model enhances efficiency, scalability, and cost-effectiveness. As serverless frameworks mature, they are becoming integral components of cloud ecosystems, enabling developers to focus on code rather than infrastructure management. We use it to increase storage capacity and the power of the processor.

Trends 52

Trends Innovation Cloud Serverless 52

Altexsoft

APRIL 26, 2022

This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. As mentioned before, there are different cloud providers with their specific platforms. Google GCP.

Engineering 52

Engineering Cloud Google Cloud Azure 52

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

Altexsoft

JULY 1, 2021

Data scientists and machine learning engineers can use Azure ML to deploy their workloads in the cloud, distribute training across cloud resources, deploy machine learning models to production, and scale them as needed. Google Cloud ML. Automated backups— facilitates database management and data storage.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Altexsoft

JUNE 29, 2021

Scalability. EDAs allow for great horizontal scalability as one event may trigger responses from multiple systems with different needs and providing different results. The open-source platform allows for publishing, storing, processing, and getting subscribed to the streams of events in real time. Loose coupling.

Architecture 75

Architecture Microservices IoT Scalability 75

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

JUNE 25, 2019

This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage. Data architects usually decide between on-premises and cloud-hosted databases noting how the business can benefit from this or that solution.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

ParkMyCloud

OCTOBER 29, 2019

As we continue to evaluate ways to automate various aspects of software development, today we’ll take a look at Google Cloud Composer. The evolution of hybrid and multi-cloud environments continue to grow as enterprises want to take advantage of the cloud’s scalability, flexibility, and global reach.

Google Cloud 8

Google Cloud Cloud How To Open Source 8

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. When a migration is complete, the dataset resides in the target database.

Tools 52

Tools Data Azure AWS 52

Altexsoft

DECEMBER 28, 2018

So, enumerating benefits of going serverless may vary because they depend on the vendor type (open-source or public) and the stack of serverless services offered. But, generally the unambiguous benefits of serverless architecture are: Lower costs and scalability. Google Cloud Functions (GCF).

Serverless 68

Serverless Azure AWS Architecture 68

Codegiant

JULY 2, 2020

Without further ado: GitHub GitHub is a closed-core platform that hosts open-source software and projects. You can find some of the best open-source projects in GitHub. Even if you are a beginner, you can find great open source projects to contribute to. Scalable: The CI tests are run on separate machines.

Software Review 52

Software Review Open Source Systems Review AWS 52

Xicom

MARCH 16, 2020

Content Delivery Networks (CDSs): To serve user experience, you should requires using highly scalable and secure content delivery network services to stream media securely and promptly. For this matter, either open-source software such as third-party solutions like Amazon elastic transcoder and FFMPEG can be used.

Artificial Inteligence 59

Artificial Inteligence Artificial Intelligence Mobile Video 59

Altexsoft

AUGUST 30, 2018

The most popular are Chef, Puppet, Azure Resource Manager, and Google Cloud Deployment Manager. But the shift towards fully public clouds (i.e. While cloud infrastructure isn’t a must for DevOps adoption, it provides flexibility, toolsets, and scalability to applications. Source: Smartsheet.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Mobilunity

JULY 5, 2021

There is no need to have a physical data center on-premise to centralize all network services and apps if you have managed services cloud provider. It includes storage, backups, and data management. Another essential benefit such cloud managed services companies offer is the opportunity to focus on the core of your business.

Cloud 52

Cloud Comparison Azure AWS 52

Instaclustr

MARCH 4, 2019

Instaclustr SLAs for latency exclude “ unusual/unplanned workload on cluster caused by customer’s application ”, and generally exclude “ issues caused by customer actions including but not limited to attempting to operate a cluster beyond available processing or storage capacity ”. It is common for MSPs to add a third-party exclusion clause.

Technical Review 43

Technical Review Open Source Case Study Metrics 43

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

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.).

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Datavail

JULY 31, 2019

Apache Hadoop is an open-source software framework for distributed storage and processing of massive data sets. Hadoop was first released in 2011, when the big data landscape was significantly more challenging in terms of network latency and scalability. A Brief History of Hadoop. What is Kubernetes? Since version 2.6

Development 8

Development Big Data Open Source Google Cloud 8

Altexsoft

JANUARY 22, 2020

The system would understand which data to fetch from a storage. So there is no time when the data can be uploaded into some storage and processed. Originally developed by LinkedIn as a messaging queue application, Apache Kafka been open-sourced and donated to Apache in 2011. Sales region: Northern California.

Analytics 20

Analytics Data IoT Analysis 20

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. Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data. Scalability. What is Hadoop?

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

NOVEMBER 6, 2019

Realtime Database is essentially a NoSQL cloud-storage that can be connected with the application to provide real time access to the data across different platforms. Unlike Firebase Realtime Database, Cloud Firestore is designed for enterprise use, which entails scalability, complex data models, and advanced querying options.

Weak Development Team 16

Weak Development Team Technical Review Software Review Serverless 16

Altexsoft

NOVEMBER 6, 2019

Realtime Database is essentially a NoSQL cloud-storage that can be connected with the application to provide real time access to the data across different platforms. Unlike Firebase Realtime Database, Cloud Firestore is designed for enterprise use, which entails scalability, complex data models, and advanced querying options.

Weak Development Team 14

Weak Development Team Technical Review Software Review Serverless 14

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

Confluent

MAY 22, 2019

This growth depends greatly on the overall reliability and scalability of IoT deployments. Stage three is the ongoing use of that data stored in a persistent storage system. Scalable IoT solutions use MQTT as an explicit device communication while relying on Apache Kafka for ingesting sensor data. Interactive M2M/IoT Sector Map.

IoT 97

IoT Google Cloud Scalability Microservices 97

Altexsoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. You can leverage Elasticsearch as a storage engine to automate complex business workflows, from inventory management to customer relationship management (CRM). What is Elasticsearch?

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 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. Google Cloud AI.

Artificial Inteligence 36

Artificial Inteligence Machine Learning Tools Azure 36

Confluent

MARCH 4, 2019

But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems. CTO of CloudBank.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

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. Most MQTT brokers don’t support high scalability.

IoT 20

IoT Internet Weak Development Team Scalability 20

Cloudera

DECEMBER 12, 2018

Yet, there were some limitations in MPP at the time, because some of these systems running Hive were quite large, and the database community thought that instead of the future being Hive on MapReduce or something similar, that we could extend, bend, and change the MPP engines to actually operate in a more scalable manner on such large data.

Data 41

Data Marketing Storage Big Data 41