RapidValue

JUNE 16, 2020

Create a Cloud Native DevOps Culture. Having a DevOps mindset and incorporating an Agile approach for building and deploying apps faster is one of the key elements of Cloud Native application development. Cloud Native DevOps is just not about tools and technologies.

Applications 90

Applications Cloud Development Microservices 90

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Job sites are exploding with employers looking for professionals with DevOps skills and experience. How can you make sure you have the sought-after DevOps skills to succeed in your current or future position? DevOps Monitoring Deep Dive.

Course 60

Course DevOps Training Linux 60

Linux Academy

JUNE 25, 2019

DevOps Monitoring Deep Dive. 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. ” Using real-world examples, we highlight the growing importance of Big Data.

Linux 60

Linux Course Cloud Google Cloud 60

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. Use Secrets to protect sensitive data like passwords. Big Data Essentials – Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Build images using a Dockerfile.

Linux 104

Linux AWS Azure Technical Review 104

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

CircleCI

NOVEMBER 18, 2021

AIOps uses machine learning and big data to assist IT operations. Systems have multiplied their components in the industry-wide shift to containers and microservices. However, the security challenges introduced by big data and software at scale are tangible. DevOps vs AIOps. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

RapidValue

AUGUST 18, 2019

The ability to deploy applications in the cloud and the move to agile and DevOps methodologies has improved both scale and speed. DevOps (integrating development and IT operations) has helped with more frequent feature releases and significantly, increased application stability. This has helped to improve application development.

Games 50

Games Microservices DevOps Open Source 50

Apiumhub

JUNE 13, 2023

BarcelonaJUG is a non-profit association that was founded and 2012 to foster knowledge sharing and learning about Java, Kotlin, cloud, DevOps, and coding best practices. They will rebrand the JBCN conf as DevBcn , expanding the conference to cover front-end, machine learning, big data, cloud computing, and DevOps topics.

Software Development 65

Software Development Software Review Software Development 65

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

O'Reilly Media - Ideas

JANUARY 17, 2019

In addition to maintaining its position as the most popular introductory language for students, scientists, and knowledge workers, Python will continue its widespread adoption in web development, DevOps, data analysis, and machine learning circles. Java 8 had problems with microservice startup times, but Java 11 solves that problem.

Microservices 95

Microservices Big Data Programming Applications 95

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

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 Artificial Intelligence 60

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Microservices Architecture and Design , January 16-17. DevOps Toolkit , January 28-29.

Artificial Inteligence 101

Artificial Inteligence Course Training Blockchain 101

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 57

Course Artificial Inteligence Training Blockchain 57

Linux Academy

JANUARY 1, 2020

Courses Free in January : Implementing Azure DevOps Development Processes. 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.

Linux 31

Linux Course AWS Google Cloud 31

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. AIOps will be very much a requirement for the DevOps teams.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Linux Academy

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. 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.

Linux 29

Linux Course AWS Google Cloud 29

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 46

Course Training Artificial Inteligence Machine Learning 46

Kentik

MARCH 7, 2018

IoT plays a key role in sensing all of the critical elements in the physical world and delivering a continuous feed of sensor data to a Big Data analytics cluster situated in the cloud. Industry 4.0 involves modeling and monitoring the physical world in the digital domain using cyber-physical systems. Industry 4.0 An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Linux Academy

DECEMBER 1, 2019

DevOps Essentials. 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. DevOps Essentials. Jenkins Quick Start. AWS Essentials.

Linux 26

Linux Course AWS Google Cloud 26

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. He has a particular interest in the adoption of Architecture, Agile, DevOps and Cloud as innovation enablers. Mark Richards.

Software Review 44

Software Review Architecture Technical Review Systems Review 44

OTS Solutions

AUGUST 16, 2023

It can also help organizations better understand their data and make data-driven decisions. With the increasing adoption of cloud computing and big data analytics, AI and ML will continue to play a crucial role in application modernization in the future. Role of DevOps in Digital Engineering. A Comprehensive Guide.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

It can also help organizations better understand their data and make data-driven decisions. With the increasing adoption of cloud computing and big data analytics, AI and ML will continue to play a crucial role in application modernization in the future. Role of DevOps in Digital Engineering. A Comprehensive Guide.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

RapidValue

FEBRUARY 18, 2021

In addition to this, IDC predicts that 95% of the new microservices will be deployed in the containers by 2021. Another very significant Cloud-Native capability is Containerization. With the advent of Kubernetes, the use of containers has increased in the Private Cloud as well.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

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

Apiumhub

MARCH 9, 2023

Among Endavers you may find Eoin Woods – co-author of the books: Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps, Software Systems Architecture: Working With Stakeholders Using Viewpoints and Perspectives, and Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture.

Software Review 76

Software Review Technical Review Software Software Development 76

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. Agile and DevOps methodologies. Most common duties of an infrastructure engineer.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. How DataOps relates to Agile, DevOps, and MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

Linux Academy

NOVEMBER 1, 2019

DevOps Essentials. 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. DevOps Essentials. Jenkins Quick Start. AWS Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

SEPTEMBER 30, 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. DevOps Essentials. Looking for a basic introduction to the concept of DevOps?

Linux 22

Linux Course Serverless Google Cloud 22

d2iq

FEBRUARY 19, 2021

While there is a large infrastructure component that can often be handled by DevOps or platform engineers, the challenges unique to machine learning mean in practice that they need to have a solid background in modelling too. Unit and integration tests are pretty standard for data pipelines and microservices.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

OTS Solutions

MAY 2, 2023

MLOps (machine learning operations) is the process of moving machine learning models into production with the help of data scientists, DevOps engineers, etc. MLOps increases productivity, Repeatability, Reliability, Auditability, Data, and model quality of machine learning models.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Linux Academy

AUGUST 29, 2019

In the increasingly DevOps culture, source control has become a foundational skill for any IT Professional. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Devops Essentials. Git Quick Start. AWS Essentials.

Linux 18

Linux Course AWS Google Cloud 18

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Microservices with AWS Lambdas. Building Reliable Microservices with Microsoft Service Fabric. Purely Functional Scala. TDD and BDD.

Software Review 9

Software Review Software Development Technical Review Course 9