Linux Academy

APRIL 30, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. No prior AWS experience is required.

Linux 113

Linux AWS Big Data Course 113

Linux Academy

NOVEMBER 1, 2019

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. AWS Essentials. Kubernetes Essentials. Kubernetes is a powerful tool. DevSecOps Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Apiumhub

NOVEMBER 17, 2022

Clare Sudbery – Independent Technical Coach specialized in TDD, refactoring, continuous integration, and other eXtreme Programming (XP) practices. Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”.

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81

Linux Academy

JUNE 25, 2019

We will also work through some practical examples like Continuous Integration and Disaster Recovery scenarios. MicroService Applications In Kubernetes. This course provides hands-on experience with installing and administering a complex microservice application in a Kubernetes cluster. Big Data Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Mobilunity

APRIL 7, 2025

With the increasing adoption of next-gen technologies 94% of enterprises adopting cloud services, 97% using or planning to embrace microservices, and 97% relying on APIs for digital transformation businesses demand resilient and flexible backend solutions to stay competitive.

UI/UX 40

UI/UX Technical Review Development Software Review 40

RapidValue

AUGUST 18, 2019

Designing Consistent Security for Microservices, APIs, and Serverless – Consistent security implementation should prevail. Design and deploy consistent security for all unique approaches to application delivery and integrate all the services into your secure DevOps pipeline.

Games 50

Games Microservices DevOps Open Source 50

Linux Academy

AUGUST 29, 2019

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. AWS Essentials. Kubernetes Essentials. Kubernetes is a powerful tool. AWS Concepts.

Linux 18

Linux Course AWS Big Data 18

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

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. Statistics show that as many as 60% of all newly developed applications are deployed in public, private, or hybrid cloud infrastructures.

Cloud 60

Cloud Artificial Inteligence Data Center Linux 60

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 59

Course Training Artificial Inteligence Machine Learning 59

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Confluent

FEBRUARY 6, 2019

The data scientist can build their model with Python or any other preferred tool. The production engineer gets the analytic models (either manually or through any automated, continuous integration setup) from the data scientist and embeds them into their Kafka application to deploy it in production.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Apiumhub

OCTOBER 2, 2019

Their training courses help teams get better at Test Driven Development, Continuous Integration and Deployment, Domain-Driven Design, Clean Code and SOLID principles, Behaviour Driven Development and many other technical practices. Microservices with AWS Lambdas. Building Reliable Microservices with Microsoft Service Fabric.

Software Review 9

Software Review Software Development Technical Review Course 9

Linux Academy

APRIL 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. No prior AWS experience is required.

Linux 60

Linux AWS Big Data Course 60

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. You save a lot of time and it enables your developers to remain more productive as they are able to combat their biggest time-sinks.

Azure 12

Azure Applications Agile Systems Review 12

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

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. For data visualizations, DataOps often utilizes Tableau.

Analytics 75

Analytics DevOps Development Software Review 75

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

Mobilunity

MARCH 25, 2025

Microservices Architecture : Java frameworks like Spring Boot and Eclipse MicroProfile simplify the creation and deployment of microservices, enabling flexible and scalable applications. AI and Machine Learning : Java’s strong emphasis on security and portability makes it a popular choice for AI and ML applications.

Software Review 40

Software Review Software Development Software Development 40

Apiumhub

MARCH 26, 2019

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. Microservices. Mark Richards. Software Architecture Principles. Reactive Architecture Patterns. Hexagonal architecture.

Software Review 44

Software Review Architecture Technical Review Software 44

O'Reilly Media - Ideas

APRIL 13, 2023

Early adopters have focused on smart contracts and decentralized apps (dApps), but the next wave is much more extensive, encompassing social applications, provable AI execution and training data provenance, big data processing like transcode or map-reduce, and asset delivery for gaming, metaverse, and media.

Technical Review 145

Technical Review Authentication Storage Serverless 145

xmatters

JANUARY 11, 2023

Creating a Flexible Incident Response with AIOps With the widespread adoption of DevOps and the implementation of practices like continuous integration/continuous deployment (CI/CD), your developers and engineers need to monitor metrics and performance across platforms while using dispersed tools.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

xmatters

JANUARY 11, 2023

With the widespread adoption of DevOps and the implementation of practices like continuous integration/continuous deployment (CI/CD), your developers and engineers need to monitor metrics and performance across platforms while using dispersed tools. Creating a Flexible Incident Response with AIOps.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

Existek

JANUARY 27, 2023

It provides a comprehensive set of features for building enterprise applications and is widely used for creating web applications, RESTful web services, and microservices. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Continuous integration and continuous delivery (CI/CD) platforms.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Typical areas of application of Docker are. Deployment speed.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

O'Reilly Media - Ideas

JANUARY 25, 2022

Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. Enterprises are investing heavily in Kubernetes and microservices; they’re building cloud native applications that are designed from the start to take advantage of cloud services. That’s no longer true. Programming Languages.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. There’s been a lot of discussion about operations culture (the movement frequently known as DevOps), continuous integration and deployment (CI/CD), and site reliability engineering (SRE).

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Capgemini

FEBRUARY 27, 2025

Engineering talent almost always comes at a premium, but R&D talent skilled in emerging software engineering fields like cloud engineering, cybersecurity, big data analytics, and AI/ML, is particularly expensive. In addition to the business processes given above, new technology processes must be developed.

Engineering 52

Engineering Software Review Strategy Software 52

LeanEssays

JUNE 5, 2015

To counter sequential processes and the long integration and defect removal phase, agile software development practices focused on fast feedback cycles in these areas: Test-driven development: Start by writing tests (think of them as executable specifications) and then write the code to pass the tests.

Software Development 55

Software Development Software Review Software Development 55