Stackery

MAY 14, 2020

AWS Glue is a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics. You can use Glue to generate ETL code in Scala or Python to extract data from the source, transform the data to match the target schema, and load it into the target. Performing Serverless Analytics in AWS Glue.

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AWS Serverless Lambda Microservices 105

Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Introduction. How does this translate in NiFi?

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Serverless Lambda Microservices KPI 105

Mike Roberts

NOVEMBER 1, 2017

Error Handling This is Part 7 of Learning Lambda, a tutorial series about engineering using AWS Lambda. Welcome to Part 7 of Learning Lambda! Classes of error When using AWS Lambda there are several different classes of error that can occur. To see the other articles in this series please visit the series home page.

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Lambda Software Review AWS Metrics 52

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. However, customers also have a class of use cases that do not require always running NiFi flows.

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Serverless Microservices Lambda IoT 72

Capgemini

APRIL 20, 2022

Furthermore, DCP enables end-to-end connectivity and integration between existing systems, data, and new business capabilities. Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Solution architecture. Figure 6 – DCP architecture on AWS.

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Cloud AWS Microservices Architecture 52

Stackery

DECEMBER 6, 2019

And microservice-composition is much more interesting when you don’t have to worry about scaling. Once you introduce microservices, the kind of problems you’re chasing are simpler. Tod introduced a high-level sample architecture for SaaS with serverless: web application (in this case, React hosting in an S3 Bucket) ?

Serverless 52

Serverless Lambda Microservices AWS 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22.

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Artificial Inteligence Course Training Blockchain 105

Xebia

MAY 21, 2024

This involves updating existing systems to take advantage of modern cloud-native architectures, technologies, and best practices, which always follow the six Pillars of AWS Well Architecture Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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AWS Strategy Serverless Microservices 130

O'Reilly Media - Ideas

DECEMBER 21, 2018

We dove into the data on our online learning platform to identify the most-used Amazon Web Services (AWS) resources. Serverless Architectures on AWS: With Examples Using AWS Lambda — Peter Sbarski teaches you how to build, secure, and manage serverless architectures that can power the most demanding web and mobile apps.

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AWS Resources Lambda Serverless 51

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. What You Need to Know About Data Science , February 4. Developing a Data Science Project , February 11. Data science and data tools.

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Course Artificial Inteligence Training Blockchain 60

Stackery

JULY 3, 2019

WebSockets aren’t new, but a new serverless architecture is now possible with Amazon API Gateway integrations. Wild Rydes: Build a full-stack serverless ride-sharing app with Lambda. In this two hour workshop, you learn the foundations of serverless architecture and build a whole, highly scalable app based on serverless microservices.

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Serverless AWS Lambda Software Review 40

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Data science and data tools.

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Course Training Artificial Inteligence Software Review 69

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Spotlight on Data: Data as an Asset with Friederike Schüür and Jen van der Meer , May 20. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. Programming.

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Course Training Artificial Inteligence Machine Learning 47

O'Reilly Media - Ideas

JANUARY 14, 2020

, authors Mike Roberts and John Chapin identify the core insight that makes serverless unique: With a fully serverless app, you are no longer thinking about any part of your architecture as a resource running on a host. AWS Lambda is the canonical example and can be invoked from applications directly or triggered by other AWS services.

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Serverless Lambda AWS Architecture 52

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Data science and data tools.

Course 51

Course Training Artificial Inteligence Software Review 51

Perficient

DECEMBER 2, 2022

Having the right data strategy is critical to get access to the right information at the right time and place. Processing data on-site allows you to react to events near real-time and propagating that data to every part of your organization will open a whole new world of capabilities and boost innovation. Data Collection.

IoT 69

IoT Systems Review Software Review Industry 69

iTexico

APRIL 15, 2020

The real transformation is in the adoption of serverless architecture, microservices, workflow automation. iTexico recommended AWS Lambda, a highly dynamic and scalable serverless computing platform with pay-as-you-go and use service model. Google, last year was very profitable.

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Lambda Serverless AWS Case Study 52

O'Reilly Media - Ideas

APRIL 3, 2019

TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Spotlight on Data: Creating Smart Products Requires Collaboration, with Gretchen Anderson , April 15. Data science and data tools. Programming.

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Course Artificial Inteligence Training Google Cloud 49

Linux Academy

JUNE 25, 2019

We will install some popular database systems available on Linux and work with data in those systems. Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. MicroService Applications In Kubernetes. Big Data Essentials. Ansible Quick Start.

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Linux Course Cloud Google Cloud 60

ParkMyCloud

MAY 7, 2019

In the current cloud infrastructure, top service providers are dedicating a great deal of effort to expand on this architecture as a new approach to a cloud solution that focuses on applications rather than infrastructure. AWS Lambda is the current leader among serverless compute implementations.

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Serverless Lambda Google Cloud Azure 58

ParkMyCloud

MARCH 5, 2019

Lyft was born and scaled to “unicorn” status in the cloud, from the first three EC2 servers that powered their first ride to the massive infrastructure of microservices that now powers the ride sharing giant. Microservices Architecture. Continuous Evaluation of Microservices. How Lyft is Already Optimizing AWS.

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AWS Cloud Microservices Case Study 44

AWS Machine Learning - AI

FEBRUARY 9, 2024

API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods. In this post, we show you how to build an internal SaaS layer to access foundation models with Amazon Bedrock in a multi-tenant (team) architecture.

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Lambda Generative AI AWS Microservices 125

Netflix Tech

JULY 30, 2019

Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix. Instead of creating workers for simple evaluations, Lambda task enables the user to do this inline using simple Javascript expressions.

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Lambda Weak Development Team Systems Review Metrics 75

Netflix Tech

MAY 21, 2019

In our quest to be objective, scientific, and inline with the Netflix philosophy of using data to drive solutions for intriguing problems, we proceeded by leveraging machine learning. Likewise it has very low requirements on the initial amount of training data. We can keep a small amount of historical data to train agents.

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Testing Training Continuous Integration AWS 65

AWS Machine Learning - AI

MAY 15, 2024

In this blog post, we describe the architectural and operational details of how Amazon Ads implemented its generative AI-powered image creation solution on AWS. Next, we present the solution architecture and process flows for machine learning (ML) model building, deployment, and inferencing.

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Generative AI Artificial Inteligence Advertising Technical Review 90

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. TensorFlow Extended: Data Validation and Transform , March 14. Data science and data tools. Business Data Analytics Using Python , February 27. Cleaning Data at Scale , March 19.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Apiumhub

OCTOBER 2, 2019

Staying up-to-date with best practices and latest developments is crucial, especially when it comes to software architecture and development. Frontend Architecture. Backend Architecture. Android Architecture. Software Architecture. Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud.

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Software Review Software Development Technical Review Course 9

Honeycomb

MARCH 24, 2022

Observability came out of microservices and cloud-native, right? If you have a simpler architecture, does o11y matter?” — this question came up during recent office hours. The need for observability grew forth from microservices and cloud native. The relationship between o11y and simplicity of architecture. Yeah, sort of.

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Microservices Architecture Metrics Lambda 59

Confluent

JULY 10, 2019

KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output. So now, let’s build a UDF artifact.

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Lambda Analytics Testing Groups 85

RapidValue

JULY 31, 2019

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? For example, a web app could be written using both microservices and serverless code.

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Serverless Architecture Cloud Development 47

Bernd Rucker

DECEMBER 19, 2017

These are valid questions which recently we get asked a lot, especially in the context of microservices , modern SOA initiatives or domain-driven design. In this blog post I will look at possible architectures using them. Isolation/Security : Team A cannot read or mess with data from Team B. Using these functions (e.g.

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Architecture Engineering Weak Development Team SOA 40

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. A lot happened between January and the first week of March, when we got around to analyzing our survey data. Microservices Achieves Critical Mass, SRE Surging.

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Cloud Microservices Serverless Survey 143

Agile Engine

DECEMBER 3, 2023

Read on for three quick case studies focusing on the modernization of UI, cloud, and data solutions. The challenge: 5 seconds before the first meaningful render The legacy architecture underlying the company’s e-stores didn’t support high load speeds at scale. Planning to modernize your cloud architecture?

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UI/UX Budget Applications Technical Review 52

Xicom

MARCH 16, 2021

Nowadays, the cliche “serverless architecture” is the latest addition in the technology wordbook, prevailing following the launch of AWS (Amazon Web Services) Lambada in 2014. While the gospel truth is serverless, architecture proffers the promise of writing codes without any ongoing server administration apprehension.

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Serverless Lambda Development Microservices 59

Prisma Clud

JUNE 20, 2023

Not All Applications Are Built the Same Real-world applications make use of a diversity of workload types, container runtimes, engines and architectures, which poses a significant challenge to runtime protection solutions. It's more than visibility and data collection. So what does real-time protection for cloud workloads entail?

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Cloud Development Team Review Serverless Linux 106

TIBCO - Connected Intelligence

MAY 19, 2021

When applications are composed using containerized microservices or serverless functions, teams of developers can each own and evolve an individual unit of functionality at the same time. Making Microservice Management Simple. Distributed tracing is a method to monitor applications composed of microservices. Click To Tweet.

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Architecture Applications Cloud Microservices 26