TechCrunch

OCTOBER 18, 2022

After selling two companies into large enterprises with lots of legacy software, Lawler witnessed firsthand how developers were struggling to understand the systems they were tasked with improving, and finding it difficult to deliver fast and secure code in complex microservices and cloud applications.

Software Review 237

Software Review Weak Development Team Analysis Tools 237

Linux Academy

JANUARY 1, 2020

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. DevSecOps Essentials.

Linux 31

Linux Course AWS Google Cloud 31

CIO

JANUARY 19, 2023

With the rise of microservices and cloud-native applications, new security challenges are arising for enterprise IT departments. The list also includes newer and emerging technology domains such as AI/big data analytics, Container Management and Metaverse. When it comes to container-related technologies, only 30% are using OSS.

Open Source 205

Open Source Software Review Technical Review Enterprise 205

Linux Academy

JANUARY 30, 2020

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. DevSecOps Essentials.

Linux 29

Linux Course AWS Google Cloud 29

RapidValue

OCTOBER 12, 2020

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

Microservices 53

Microservices AWS Architecture Applications 53

Linux Academy

DECEMBER 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. DevSecOps Essentials.

Linux 26

Linux Course AWS Google Cloud 26

CIO

MAY 10, 2024

Having emerged in the late 1990s, SOA is a precursor to microservices but remains a skill that can help ensure software systems remain flexible, scalable, and reusable across the organization. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

O'Reilly Media - Ideas

FEBRUARY 5, 2019

1] This combination of search and usage data provides a holistic view; search data shows the areas where subscribers are exploring, and usage identifies topics where they’re actively engaged. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data. Decomposition.

Trends 106

Trends Artificial Inteligence Blockchain Microservices 106

CIO

FEBRUARY 14, 2023

Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. report they have established a data culture 26.5% That’s not to say it’ll be easy.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

O'Reilly Media - Ideas

JANUARY 17, 2019

As Ben Evans, coauthor of Optimizing Java and Java in a Nutshell , explains: "Java has adapted well to new frontiers such as cloud and microservices. Java 8 had problems with microservice startup times, but Java 11 solves that problem. It's a much better environment for developing new microservice applications from scratch.".

Microservices 111

Microservices Big Data Programming Applications 111

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 93

Course Training Artificial Inteligence Software Review 93

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

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 86

Course Artificial Inteligence Training Blockchain 86

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. DevSecOps Essentials.

Linux 104

Linux Course AWS Google Cloud 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

Gorilla Logic

DECEMBER 2, 2021

Microservices Pattern. Microservices Pattern. It is here where we can see some of this pattern’s advantages, like deploying just the microservice that you need, providing a more organized and simple way of building really large applications. We can find this software architecture pattern inside many projects involving Big Data.

Architecture 85

Architecture Software Review Software Microservices 85

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. This leads us to event streaming microservices patterns. Real-world architectures involve more than just microservices. Schemas and APIs are contracts between services. Schemas are APIs.

Microservices 110

Microservices Architecture Software Review Insurance 110

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. AWS Essentials. DevSecOps Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

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. How to Give Great Presentations , February 7.

Course 111

Course Artificial Inteligence Training Blockchain 111

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. And that leads us to metrics. Instrumentation as a key requirement. Fewer surprises, happy customers.

Metrics 40

Metrics Microservices Linux Architecture 40

RapidValue

JUNE 16, 2020

While working on Cloud Native application development, we need to make our application architectures more reactive leveraging Microservices. Moving to Cloud-Native typically is driven by the need for modernizing applications as much as possible by creating subsystems (powered by Microservices) that can be deployed and scaled independently.

Applications 90

Applications Cloud Development Microservices 90

Netflix Tech

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Data 100

Data Microservices Storage Examples 100

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

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

Datavail

JUNE 9, 2020

The platform also has a separate module Oracle GoldenGate for Big Data , which supports replication into many big data NoSQL targets. Meanwhile, automatic CDR helps detect and fix conflicts when the same data is updated simultaneously in different locations. Microservices. Automation. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Microservice Fundamentals , April 15. Microservice Collaboration , April 16. Domain-Driven Design and Event-Driven Microservices , May 14-15. Microservice Fundamentals , May 28. Microservice Decomposition Patterns , May 29. Web programming.

Course 15

Course Artificial Inteligence Training Machine Learning 15

Apiumhub

NOVEMBER 17, 2022

Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”. Chris Richardson – Developer & Architect, Author of “POJOs in Action“ and “Microservices patterns“, Founder at Eventuate.

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81

Netflix Tech

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

Linux Academy

JUNE 25, 2019

MicroService Applications In Kubernetes. This course provides hands-on experience with installing and administering a complex microservice application in a Kubernetes cluster. Once the cluster has been bootstrapped, we will learn how to install a simple microservice and a more complex microservice application after.

Linux 60

Linux Course Cloud Google Cloud 60

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. DevSecOps Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Confluent

JULY 23, 2019

Last year, I attended mostly sessions about event-driven microservices, and this year, I’m especially interested in talks about running Kafka at scale and internals—good thing there are many of those! I remember two to three years back, I spent all my time listening to talks about various ETL architectures in the Pipelines track.

Conference 18

Conference Architecture Microservices Software Engineering 18

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 65

Course Training Artificial Inteligence Software Review 65

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. Concepts and Fundamentals. AWS Concepts. Why do we use AWS?

Linux 18

Linux Course AWS Big Data 18

Netflix Tech

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 131

Network IPv6 Transportation AWS 131

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

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

d2iq

AUGUST 11, 2022

A Container-Forward customer, says EvaluScale, “has made the decision to standardize his future computing architecture on Kubernetes containers and microservices application development.” These customers “place the highest value on Global Enterprise Functionality, the ability to manage a Hybrid Environment and Vendor Trust.”

Systems Review 64

Systems Review Software Review Big Data Microservices 64