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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TIBCO - Connected Intelligence

OCTOBER 19, 2020

One way to build this agility is by evolving to a microservices architecture. Microservices are very small units of executable code. Microservices can be used to break up monoliths into individual, highly cohesive business services that are deployed in containers and serverless environments. Click To Tweet.

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The Agile Monkey

DECEMBER 10, 2018

By The Agile Monkeys Introduction We were there when Werner Vogels announced the new custom lambda runtimes on stage, and we couldn’t have been more excited. We have been trying Haskell (and other flavors of Haskell, like Eta and PureScript) on AWS lambda since we started working on Serverless more than a year ago.

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CIO

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” 1 barrier to moving forward in the cloud. I strike this language from all my contracts.”

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The Agile Monkey

NOVEMBER 16, 2018

From Microservices to Serverless: How to avoid converting “Distributed monolith” microservices into “Serverless monoliths” Learning from the past: converting a monolith into… a worse monolith When microservices became mainstream, a lot of companies started to migrate their monolithic systems to a distributed microservice architecture.

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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. Functions as a Service.

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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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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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Mentormate

JANUARY 7, 2021

Here are some of the newly-released services, which we believe massively benefit our clients: Amazon QuickSight Q Answers Natural-Language Questions About Business Data. Q allows business users to ask Amazon Quicksight questions about their data using everyday language and receive accurate answers in a matter of seconds.

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Xicom

MARCH 16, 2021

Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. The right observability platform – ideally the one that automates a ton of instrumentation inside Lambda like New Relic – can offer you these types of insights.

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Honeycomb

JANUARY 18, 2024

Arguably, the line between libraries and services or microservices is pretty blurred. What if I’m calling another service or microservice? Consistency and commonality is key, particularly in microservice applications where there’s strong independence between teams. That’s kinda like a library over the wire. bucket.name , aws.s3.bucket

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Honeycomb

MARCH 24, 2022

Observability came out of microservices and cloud-native, right? On both counts—yeah, it sorta came out of microservices and cloud native, and yeah sorta, you need it with a simpler architecture (though perhaps not as desperately as you otherwise might). The need for observability grew forth from microservices and cloud native.

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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. and the actual application services; in this case, a Lambda Function. tenant context, role, etc) Custom authorizer Lambda.

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Altexsoft

AUGUST 31, 2021

Microservices and API gateways. It’s also an architectural pattern, which was initially created to support microservices. So, when a client wanted to retrieve data, it would make one API call. Hard to update and implement new technologies, the monolith started being replaced by a new architectural pattern — microservices.

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Modus Create

MARCH 31, 2022

Forge is an end-to-end cloud platform consisting of functions backed by AWS Lambda, flexible UI components, and a DevOps toolchain in the form of the Forge Command Line Interface (CLI). Build your integrations in the FaaS platform, turning them into reusable microservices. Forge FaaS components are backed by AWS Lambda functions.

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Stackery

JUNE 26, 2019

When it comes to developing for serverless, I’ve been beating the drum for some time that there are fundamental problems with how you write code for serverless functions , namely AWS Lambda. Essentially: waiting 15 minutes for your Lambda code to deploy is a fine way to run a production deploy but not a great way to experiment with new code.

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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. Figure 3 – DCP business functions. and OpenID Connect (OIDC).

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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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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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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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Stackery

JUNE 6, 2019

In this post we’ll use Stackery to configure and deploy a serverless data processing architecture that utilizes AWS Step Functions to coordinate multiple steps within a workflow. The state machine is responsible for the durability of the data passed between steps, handling any retry logic, and triggering and tracking each step.

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Stackery

JULY 3, 2019

Wild Rydes: Build a full-stack serverless ride-sharing app with Lambda. Introducing Wild Rydes, a new, innovative unicorn transportation service using AWS Lambda, AWS Step Functions, Amazon DynamoDB, Amazon API Gateway, and Amazon Kinesis. Lambda can also be invoked as part of a workflow within an application. Sam Dengler, AWS.

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Honeycomb

NOVEMBER 6, 2018

Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. The black box nature of AWS Lambda and other serverless environments means that identifying and fixing performance issues is difficult and time-consuming. What is Thundra? How Did We Integrate With Honeycomb?

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O'Reilly Media - Ideas

JANUARY 22, 2019

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. Service mesh. Among the vendors to watch are Istio, HashiCorps, and Linkerd.

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Stackery

SEPTEMBER 3, 2019

AM, Chase, and Eric kicked off the first week of SSS by sharing the basics of getting started with a tutorial on locally debugging AWS Lambda functions and other serverless resources with Stackery. Debug a simple app where you’ve got a topic connected to a Lambda function that then uploads them to an AWS table.

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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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Agile Engine

DECEMBER 3, 2023

Read on for three quick case studies focusing on the modernization of UI, cloud, and data solutions. There is a catch, though — unoptimized cloud infrastructures and poorly controlled data transfer can cause expenses to pile up unexpectedly. In this journey, legacy data systems can often become a hurdle.

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CircleCI

OCTOBER 20, 2020

Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. It is tempting to think that only microservices orchestrated via Kubernetes can scale — you’ll read a lot of this on the internet. Does that mean it is time for Kubernetes?

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ParkMyCloud

MARCH 19, 2020

AWS Regions are the broadest geographic category that define the physical locations of AWS data centers. AWS offers Regions with a multiple AZ design – unlike other cloud providers who see a region as one single data center. . An Availability Zone (AZ) consists of one or more data centers at a location within an AWS Region.

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Hu's Place - HitachiVantara

APRIL 24, 2018

Serverless computing is provided by a cloud service provider like AWS Lambda. or Python), set a few simple configuration parameters, and upload everything (along with required dependencies) to Lambda. Lambda persists the container until the function has done its job, then disappears. Serverless computing is used with containers.

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Prisma Clud

JUNE 20, 2023

It's more than visibility and data collection. Not All Applications Are Built the Same If only the cloud-native world consisted of containerized microservices on Kubernetes clusters. Active real-time protection lets you intervene, not just witness unfolding threats. So what does real-time protection for cloud workloads entail?

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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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Palo Alto Networks

APRIL 28, 2020

Prisma Cloud Compute Edition is the downloadable, self-hosted software that you deploy and operate on your own so that you can maintain full custody of your data. OPA can enforce policies in microservices, Kubernetes, CI/CD pipelines, API gateways, and more. Serverless Security: Auto-Protect for AWS Lambda Functions.

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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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O'Reilly Media - Ideas

JANUARY 14, 2020

While AWS Lambda is viewed as the specific technology that kicked off the movement, other vendors offer platforms for reducing operational overhead. AWS Lambda is the canonical example and can be invoked from applications directly or triggered by other AWS services. Different flavors of serverless. Serverless for storage.

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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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Honeycomb

MARCH 23, 2020

The OpenTelemetry project consists of different components, including language specific SDKs and a collector that can be used to build metrics and tracing pipelines for your telemetry data. The collector can be run as an agent / sidecar, or as a separate service receiving data from multiple applications. OpenTelemetry Collector.

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