O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Programming.

Course 92

Course Training Artificial Inteligence Software Review 92

RapidValue

FEBRUARY 18, 2021

The Cloud-Native stack includes Serverless Computing , Containerization, and Orchestration Platforms. The Flexera 2020 State of the Cloud report named Serverless as one of the top five fastest-growing PaaS Cloud services. In addition to this, IDC predicts that 95% of the new microservices will be deployed in the containers by 2021.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

Linux Academy

JUNE 25, 2019

Serverless Concepts. Serverless has been gaining momentum as cloud technology continues to become more widespread. This course provides a high-level overview of the concept of Serverless computing without getting into deep technical details. MicroService Applications In Kubernetes. Big Data Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

RapidValue

AUGUST 18, 2019

Designing Consistent Security for Microservices, APIs, and Serverless – Consistent security implementation should prevail. Microservices, APIs and Serverless require the most consistent security focus. You need to address the open-source vulnerabilities, use of non-approved images and secrets management.

Games 50

Games Microservices DevOps Open Source 50

UruIT

DECEMBER 31, 2018

The conference covers approaches and technologies such as chaos engineering, serverless, and cloud, in addition to a range of leadership and business skills. Course titles include (among others) Big Data for Managers, Hands-On Data Science with Python, and Building a Serverless Big Data Application on AWS.

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

Confluent

SEPTEMBER 26, 2019

Regardless of whether your data is coming from edge devices, on-premises datacenters, or cloud applications, you can integrate them with a self-managed Kafka cluster or with Confluent Cloud ([link] which provides serverless Kafka, mission-critical SLAs, consumption-based pricing, and zero efforts on your part to manage the cluster.

Analytics 21

Analytics Serverless Blockchain Microservices 21

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

O'Reilly Media - Ideas

APRIL 13, 2023

Serverless APIs are the culmination of the cloud commoditizing the old hardware-based paradigm. This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud.

Technical Review 145

Technical Review Authentication Storage Serverless 145

O'Reilly Media - Ideas

JANUARY 13, 2020

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. ” What lies ahead? ” What lies ahead?

Programming 144

Programming Software Review Systems Review Artificial Inteligence 144

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Programming.

Course 64

Course Training Artificial Inteligence Software Review 64

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 57

Course Training Artificial Inteligence Machine Learning 57

RapidValue

MARCH 17, 2019

Microservices are taking the market by storm as companies look to transition from a slow monolithic infrastructure to a much more agile microservice-based structure, allowing them to deploy applications more frequently and reliably. This is a service layer which handles inter-service communication between microservices.

Trends 45

Trends Cloud Serverless Microservices 45

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

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

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. Cloud Computing and Serverless Architecture : Java’s platform independence and scalability make it ideal for cloud computing environments.

Software Review 40

Software Review Software Development Software Development 40

Kaseya

NOVEMBER 9, 2023

Here are some of them: Function-as-a-Service (FaaS) or Serverless Computing: FaaS provides a platform that allows users to execute code in response to specific events without managing the complex infrastructure typically associated with building and launching microservices applications.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

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. AKS helps in minimizing infrastructure maintenance, using automated upgrades, repair, monitoring and scaling.

Azure 12

Azure Applications Agile Systems Review 12

Apiumhub

OCTOBER 2, 2019

Microservices with AWS Lambdas. Serverless Architecture Using AWS. Building Reliable Microservices with Microsoft Service Fabric. Habla Computing has a solid expertise in Scala, its ecosystem of libraries and tools, and functional programming. Purely Functional Scala. Advanced Functional Scala. Distributed programming.

Software Review 9

Software Review Software Development Technical Review Course 9

Linux Academy

JUNE 28, 2019

Who should take this course: We suggest you take our Big Data Essentials and Linux Essentials courses before taking this course. You’ll even install some of the more popular database systems, including MongoDB and Couchbase, that are available on Linux and see how to work with data in those systems. Serverless Concepts.

Course 60

Course DevOps Training Linux 60

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21. Microservices Caching Strategies , May 17.

Course 62

Course Artificial Inteligence Training Google Cloud 62

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. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

The Agile Monkey

OCTOBER 4, 2016

It’s interesting that, in spite of the current trend of serverless and microservices architectures and the introduction of modern and faster languages like Go and Swift, more than a half of the e-commerce installed base is built over the classic LAMP stack, featuring monolithic architectures.

Microservices 40

Microservices Weak Development Team Architecture System 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Cloud Changes in 2019 While lift and shift application migrations to clouds will continue in 2019, more applications will be modernized to take advantage of the new capabilities of containers, serverless, FPGAs, and other forms of computing.

Cloud 49

Cloud AWS Open Source Data Center 49

Apps Associates

JUNE 22, 2022

R6id instances are ideal for memory-intensive workloads, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics. They will also benefit applications that need temporary data storage, such as caches and scratch files.

AWS 52

AWS IPv6 Storage Serverless 52

RapidValue

FEBRUARY 8, 2021

AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. Additionally, it also monitors the changes to data in the source data stores, and when the changes do occur, Elastic Views updates the target data store automatically.

AWS 52

AWS Serverless Open Source Artificial Inteligence 52

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

Battery Ventures

JULY 23, 2018

Europe’s enterprise and B2B tech scene, nurturing companies in less-sexy but still vital sectors like big data, AI, cybersecurity and business software, has produced fewer household names but is growing fast. PayPal just forked over $2.2 billion for iZettle in June. Sometimes, the West Coast is closer to customers.

B2B 55

B2B Open Source Enterprise Culture 55

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. Most common duties of an infrastructure engineer. Among skills gained are.

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. The Good and the Bad of Serverless Architecture. Deployment speed.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. Do I need to use a microservices framework?

Architecture 92

Architecture Programming Microservices Serverless 92

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 116

Trends Technical Review Technology Artificial Inteligence 116

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. or—using Knative—in Kubernetes.

Conference 9

Conference Data Data Engineering Big Data 9

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. serverless, a.k.a. Serverless and other cloud technologies allow the same operations team to manage much larger infrastructures; they don’t make operations go away.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145