Perficient

MAY 30, 2023

In this technical blog post, we will explore the limitations of Databricks regarding synchronous updates, introduce the pattern of “Simulating Synchronous Operations with Asynchronous Code,” and compare it with the widely adopted event-driven architecture. The events are then published to a message broker or event bus.

Software Review 59

Software Review Systems Review System Lambda 59

Mike Roberts

NOVEMBER 16, 2017

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Lambda will horizontally scale precisely when we need it to a massive extent.

Lambda 40

Lambda AWS Software Review Serverless 40

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 PHP 40

Perficient

JANUARY 6, 2023

Identity Provider Lambda Policy: This is a policy that allows our Identity Provider serverless function to create users that will be able to access our contact center. This policy allows for the invocation of async and synchronous Lambda functions from all resources in AWS as well as creating logs in CloudWatch logs.

Lambda 69

Lambda AWS Policies Serverless 69

Perficient

DECEMBER 13, 2023

Organized Data Storage AWS S3 (Simple Storage Service) stores the structured, unstructured, or semi-structured data. Automated ETL trigger AWS EventBridge triggers the AWS Lambda based on events, which in turn initiates a job. AWS Lambda provides serverless computing & scales based on the number of requests.

Healthcare 52

Healthcare AWS Lambda Data 52

Xebia

JANUARY 19, 2023

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Ongoing real-time event streams are unbounded data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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 98

Serverless Lambda AWS Architecture 98

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 72

Serverless Microservices Lambda IoT 72

Apiumhub

MARCH 12, 2024

Serverless Computing: Event-Driven Efficiency Serverless computing, often referred to as Function as a Service (FaaS), allows developers to execute code in response to specific events without managing the underlying infrastructure. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

AWS Machine Learning - AI

MARCH 15, 2024

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

Generative AI 117

Generative AI Lambda AWS Artificial Inteligence 117

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 50

AWS Resources Lambda Serverless 50

Modus Create

MARCH 10, 2021

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. In comparison to traditional LAMP (Linux, Apache, MySQL, PHP) stack, serverless LAMP ( Lambda , API Gateway, MySQL, PHP) applications are easier to scale and maintain while costing less than the alternative (using a pay-per-use model).

Serverless 59

Serverless PHP Applications Lambda 59

Honeycomb

FEBRUARY 22, 2022

They aggregate well and take up a fixed amount of storage space. Some examples of the latter might be: Linux, Docker, MySql, Amazon RDS, Kafka, AWS Lambda, GCP gateways, memcache, CI/CD pipelines, Kubernetes, etc. They’re simply not as versatile or useful as events that you can slice and dice and manipulate in infinite ways.

Metrics 111

Metrics Software Review Systems Review Hardware 111

The Agile Monkey

DECEMBER 22, 2022

The app, called Live Questions, is a tool for live events, keynotes, and Q&A sessions that allows hosts to create a topic and gather questions from other users in real time. Our backend and event-sourcing experts have been working on creating this high level of abstraction for years. Events: Simple records of facts (e.g.

Scalability 98

Scalability AWS Authentication Open Source 98

Palo Alto Networks

MARCH 10, 2021

Based on the visibility and detection (in logs), you can filter for events , and enable alerts and actions that can trigger remediation using Action-Oriented log forwarding using HTTP(S).

AWS 98

AWS Firewall Lambda Network 98

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 52

Serverless Lambda AWS Architecture 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

JULY 30, 2019

External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. An event handler can be configured on these queues to trigger workflows or tasks to perform specific actions upon the terminal state of the workflow.

Lambda 75

Lambda Weak Development Team Systems Review Metrics 75

AWS Machine Learning - AI

MAY 14, 2024

Build an offline human feedback workflow In this scenario, we assume that the chat transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket in JSON format, a typical chat transcript format, for the human experts to provide annotations and labels on each LLM response. Here, we use the on-demand option.

Generative AI 84

Generative AI Artificial Inteligence AWS Applications 84

Instaclustr

JUNE 4, 2019

If you are looking for a business metric, from the business application standpoint, here it is – The system processed a massive 19 Billion events per day (19 x 10^9). Million events per dollar spent (considering cost for infrastructure, managed service, anomaly detection application R&D and ongoing maintenance).

Scalability 29

Scalability Open Source AWS Applications 29

Palo Alto Networks

OCTOBER 17, 2019

What does this mean for that mile-deep pile of customer data you currently store in Amazon Simple Storage Service (S3)? . For data you already have stored, it is recommended that you use data loss prevention (DLP) products to scan public cloud storage. . How will this impact your public cloud security and compliance program? .

Cloud 49

Cloud Lambda Compliance AWS 49

AWS Machine Learning - AI

JANUARY 26, 2024

Plan for rollback and recovery from production security events and service disruptions such as prompt injection, training data poisoning, model denial of service, and model theft early on, and define the mitigations you will use as you define application requirements.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

Perficient

DECEMBER 2, 2022

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. The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Self-Managed.

IoT 69

IoT Systems Review Software Review Industry 69

Honeycomb

AUGUST 18, 2020

8/3 – Query engine lambda startup failures : A code change was merged that prevented the lambda-based portion of our query engine from starting. This is the portion of our query engine that runs queries against S3-based storage — typically older data. We resolved the issue by rolling back to a previous release.

Software Review 59

Software Review Systems Review Engineering Storage 59

AWS Machine Learning - AI

APRIL 18, 2024

In parallel, the AVM layer invokes a Lambda function to generate Terraform code. The reviewed and updated Terraform scripts are then used to deploy infrastructure components into the newly provisioned AWS account, setting up compute, storage, and networking resources required for the application. Access to Amazon Bedrock models.

AWS 101

AWS Lambda Applications Generative AI 101

Palo Alto Networks

JUNE 25, 2019

AWS’ inaugural security event re:Inforce is finally here. Moreover, this event marks the launch of yet another exciting new feature from AWS: VPC Traffic Mirroring. Gain Complete Visibility and Eliminate Network Blind Spots in AWS Cloud.

AWS 44

AWS Firewall Lambda Network 44

Modus Create

SEPTEMBER 11, 2019

If you are using GitHub or Bitbucket , you will have to create an AWS CodeBuild project to watch the repository, build a zip, and upload the artifact to Simple Storage Service (S3). If you are using AWS CodeCommit , you will have to create a Lambda trigger that creates a new pipeline for each branch. GitHub or Bitbucket Approach.

AWS 41

AWS Lambda How To Authentication 41

Palo Alto Networks

JUNE 25, 2019

AWS’ inaugural security event re:Inforce is finally here. Moreover, this event marks the launch of yet another exciting new feature from AWS: VPC Traffic Mirroring. Gain Complete Visibility and Eliminate Network Blind Spots in AWS Cloud.

AWS 40

AWS Firewall Lambda Network 40

Capgemini

APRIL 20, 2022

The user logs in to an admin application hosted on Amazon Simple Storage Service (Amazon S3) through a fast and secured custom domain managed by Amazon CloudFront , Amazon Route 53 , and AWS Certificate Manager. Business function microservices follow event-driven architecture. Figure 6 – DCP architecture on AWS.

Cloud 52

Cloud AWS Microservices Architecture 52

Stackery

MARCH 1, 2020

Whether you help architect serverless applications at work or you’re just getting started in the community, chances are you’ve caught wind of a ServerlessDays event. The best part is that they are a true community event, built by and for serverless users. In my case, that meant they were in the CloudWatch Logs Managed Service.

Serverless 59

Serverless Technical Review Software Review AWS 59

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., What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

Serverless 109

Serverless Lambda AWS Systems Review 109

AWS Machine Learning - AI

FEBRUARY 19, 2024

This architecture includes the following steps: A user interacts with the Streamlit chatbot interface and submits a query in natural language This triggers a Lambda function, which invokes the Knowledge Bases RetrieveAndGenerate API. You will use this Lambda layer code later to create the Lambda function.

Knowledge Base 96

Knowledge Base Artificial Inteligence Applications Lambda 96

AWS Machine Learning - AI

FEBRUARY 9, 2024

API Gateway routes the request to an AWS Lambda function ( bedrock_invoke_model ) that’s responsible for logging team usage information in Amazon CloudWatch and invoking the Amazon Bedrock model. After the Amazon Bedrock invocation, Amazon CloudTrail generates a CloudTrail event. requestId – The unique identifier of the request.

Lambda 126

Lambda Generative AI AWS Microservices 126

AWS Machine Learning - AI

MAY 7, 2024

The workflow consists of the following steps: The user uploads the meeting recording as an audio or video file to the project’s Amazon Simple Storage Service (Amazon S3) bucket, in the /recordings folder. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

Artificial Inteligence 102

Artificial Inteligence Meeting Generative AI AWS 102

Honeycomb

SEPTEMBER 9, 2022

Our data storage has two tiers: hot data, stored on the query engine hosts, and cold data, stored in S3 and queried via AWS Lambda. Hot storage is usually reserved for recent data, and cold storage for older data. Queries use both types of storage, whereas triggers are expected to use recent data and mostly hot storage.

Systems Review 64

Systems Review Technical Review Software Review Lambda 64

Honeycomb

SEPTEMBER 9, 2022

Our data storage has two tiers: hot data, stored on the query engine hosts, and cold data, stored in S3 and queried via AWS Lambda. Hot storage is usually reserved for recent data, and cold storage for older data. Queries use both types of storage, whereas triggers are expected to use recent data and mostly hot storage.

Systems Review 64

Systems Review Technical Review Software Review Lambda 64