Stacks on Stacks

NOVEMBER 29, 2018

Lambda layers and runtime API are two new feature of AWS Lambda which open up fun possibilities for customizing the Lambda runtime and enable decreased duplication of code across Lambda functions. Layers is aimed at a common pain point teams hit as the number of Lambdas in their application grows.

Lambda 40

Lambda Serverless AWS Continuous Delivery 40

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 84

AWS Linux Storage Lambda 84

AWS Machine Learning - AI

NOVEMBER 22, 2024

AWS Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function helps you scale more easily and change applications more quickly.

Generative AI 88

Generative AI AWS Technical Review Backup 88

AWS Machine Learning - AI

MAY 15, 2024

The request is then processed by AWS Lambda , which uses AWS Step Functions to orchestrate the process (step 2). The image is then uploaded into an Amazon Simple Storage Services (Amazon S3) bucket for images and the metadata about the image is stored in an Amazon DynamoDB table (step 6).

Generative AI 128

Generative AI Artificial Inteligence Advertising Technical Review 128

O'Reilly Media - Ideas

DECEMBER 21, 2018

Amazon Web Services AWS: AWS Fundamentals — Richard Jones walks you through six hours of video instruction on AWS with coverage on cloud computing and available AWS services and provides a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more.

AWS 67

AWS Resources Lambda Serverless 67

Confluent

JULY 10, 2019

Each individual Streams application was deployed as a standalone microservice, and we used the Gradle Application plugin to build and deploy these services. applicationName = 'wordcount-lambda-example'. // Default artifact naming. The packaging of payloads for Oracle WMS Cloud. group = 'com.redpillanalytics'. version = '1.0.0'.

Lambda 89

Lambda Analytics Testing Groups 89

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.

Serverless 73

Serverless Microservices Lambda IoT 73

CloudGeometry

FEBRUARY 7, 2022

Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. This allows shared services such as logging, object storage, user onboarding, etc., On the other hand, the cost profile, access patterns, and agility of another microservice may necessitate using a Pool model.

Architecture 130

Architecture Policies Resources Construction 130

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.

Cloud 75

Cloud Development Lambda Microservices 75

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.

Serverless 59

Serverless Lambda Development Microservices 59

Modus Create

MAY 15, 2023

You don’t have to manage servers to run apps, storage systems, or databases at any scale. Since it was an isolated feature, we created a separate Lambda function for it on AWS. Serverless architecture usually requires expertise in event-driven programming, microservices, and a deep understanding of the enterprise cloud ecosystem.

Serverless 75

Serverless Lambda Architecture AWS 75

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., Provider dependent: 500 MB storage, 128 MB ? or invest in a vendor-agnostic layer like the serverless framework

Serverless 109

Serverless Lambda AWS Systems Review 109

ParkMyCloud

MARCH 19, 2020

Additionally, Amazon Simple Storage Service (Amazon S3), supports cross-Region replication. Amazon Simple Storage Service (S3) is storage for the internet. Objects stored in the S3 One Zone-IA storage class are stored redundantly within a single Availability Zone in the AWS Region you select. . AWS Lambda.

AWS 66

AWS Lambda Data Center Storage 66

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.

Serverless 71

Serverless AWS Lambda Part-Time VPE 71

Perficient

FEBRUARY 17, 2025

Java (Spring Boot) : A Java-based framework that simplifies the development of enterprise-level applications with built-in tools for microservices, security, and database integration. Understand cloud platforms like AWS and their core services (EC2, S3, Lambda). Recommended Resources: AWS Free Tier.

Development 52

Development Software Review Technical Review Systems Review 52

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda. The service launched in 2016 to compete with AWS Lambda. But, every provider has its own calculation tool: S3 calculator by AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

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

Microservices 72

Microservices Weak Development Team AWS Engineering 72

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. Serverless offerings tend to fall into two types: Backends as a Service (BaaS) - BaaS provides serverless approaches to handle things like storage, authentication, and user management.

Serverless 57

Serverless Lambda AWS Architecture 57

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. It scales automatically depending on the workloads.

Serverless 52

Serverless Lambda AWS Case Study 52

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.

Lambda 76

Lambda Weak Development Team Systems Review Metrics 76

Linux Academy

JUNE 25, 2019

Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. MicroService Applications In Kubernetes. This course provides hands-on experience with installing and administering a complex microservice application in a Kubernetes cluster.

Linux 60

Linux Course Cloud Google Cloud 60

Capgemini

APRIL 20, 2022

Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Then, appropriate microservices and resources will be deployed to the user’s AWS account through Amazon Elastic Container Registry (Amazon ECR) and AWS CloudFormation.

Cloud 52

Cloud AWS Microservices Architecture 52

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. Really cool tech if you want to move your existing AWS Lambda or Azure Functions over to Kubernetes. solutions which are more barebones.

Serverless 83

Serverless Azure Metrics AWS 83

iTexico

OCTOBER 1, 2021

These resources include tools and applications like data storage, servers, databases, networking, and software. Storage : You can upload a lot of information to the cloud and consume it when needed. App Services : We can upload a web application or a microservice to a provider like Azure using App Services o AWS using Lambdas.

Examples 52

Examples Cloud Virtualization AWS 52

Modus Create

JUNE 20, 2023

You don’t have to provision servers to run apps, storage systems, or databases at any scale. All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. You can think of them as microservices but for UI. billion in value.

Trends 75

Trends Development Serverless Technical Review 75

Mobilunity

DECEMBER 5, 2024

Example : An eCommerce company may unknowingly pay for unused cloud storage during off-peak seasons. They can also handle the following: Idle virtual machines and unused storage. Adjust virtual machine sizes and storage tiers to align with performance needs. Microservices and containers. Adopt containerization (e.g.,

Cloud 52

Cloud Strategy Technical Review Database Administration 52

The Agile Monkey

NOVEMBER 27, 2018

AWS offerings like: Cognito (security) S3 (file storage) CloudFront (CDN) DynamoDB (document storage) DynamoDB Accelerator (pass through document storage cache) Drawbacks Still evolving?—?With S3 File storage that we can setup through our Serverless Framework application to store our images. FaaS cold starts?—?

Serverless 40

Serverless AWS Architecture Microservices 40

Mobilunity

DECEMBER 19, 2024

Overprovisioning of resources distribution of more compute, storage, or bandwidth than required boosts costs. Automation of tasks like scaling resources, managing idle instances, and adjusting storage tiers allows businesses to achieve significant resource optimization, minimizing manual intervention in cloud management.

Budget 52

Budget AWS Strategy Cloud 52

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Migration and transfer. Networking and content delivery. Business apps.

Azure 52

Azure AWS Cloud How To 52

Netflix Tech

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda.

Testing 65

Testing Training Continuous Integration AWS 65

Perficient

DECEMBER 2, 2022

AWS Snowball Edge is another hardware option more suitable for rough environments, remote sites without connection when you want to process the data locally and eventually move the data physically into the cloud (and I mean physically, as in sending the device back to AWS so they can copy the storage). Edge IIoT on Kubernetes.

IoT 69

IoT Systems Review Industry Software Review 69

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

UI/UX 52

UI/UX Budget Applications Technical Review 52

LeanEssays

JULY 14, 2019

Based on the answer to these questions, Amazon introduced a service called Lambda in 2014 that responds to events quickly and inexpensively. Lambda replaced the need for customers to pay for servers sitting around listening for events to occur – reducing the cost (and Amazon’s revenue) for event-driven systems by a factor of 5 to 10 (!).

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems Review 63

Systems Review System Microservices Software Review 63

Bernd Rucker

AUGUST 18, 2017

Basically you say “Get me an AWS EC instance with this base image” and “get me a lambda function” and “get me this API gateway with some special configuration”. Typical examples of serverless functions are: You drop some binary file on a storage (S3, Azure Blob Storage, …) which triggers a function (e.g. Sounds great!

Serverless 40

Serverless Cloud Azure AWS 40