Dzone - DevOps

JUNE 19, 2023

In this blog post, you will learn how to build a Serverless solution to process images using Amazon Rekognition , AWS Lambda and the Go programming language.

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Serverless Lambda Applications AWS 92

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.

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Lambda AWS Software Review Serverless 52

RapidValue

JANUARY 5, 2020

One such service is their serverless computing service , AWS Lambda. For the uninitiated, Lambda is an event-driven serverless computing platform that lets you run code without managing or provisioning servers and involves zero administration. How does AWS Lambda Work. Why use AWS Lambda? Read on to know. zip or jar.

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Lambda Serverless AWS Architecture 61

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 339

Strategy Cloud Generative AI Data Center 339

AWS Machine Learning - AI

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Amazon Bedrock saves the request and completion (response) in Amazon Simple Storage Service (Amazon S3) as the per configuration of invocation logging.

Artificial Inteligence 106

Artificial Inteligence AWS Lambda Metrics 106

Thorn Tech

JANUARY 3, 2022

Sometimes you and your users need to connect to more than one cloud storage location. For example, your development team decides to code in AWS Lambda, … Multi-cloud connection: Transfer files between Amazon S3, Azure Blob and Google Cloud Storage using SFTP Gateway Read More ».

Google Cloud 52

Google Cloud Azure Storage Cloud 52

Honeycomb

JANUARY 10, 2020

We’re big fans of AWS Lambda at Honeycomb. As you may have read , we recently made some major improvements to our storage engine by leveraging Lambda to process more data in less time. Making a change to a complex system like our storage engine is daunting, but can be made less so with good instrumentation and tracing.

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Lambda Examples Serverless AWS 52

AWS Machine Learning - AI

FEBRUARY 6, 2024

The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. The WebSocket triggers an AWS Lambda function, which creates a record in Amazon DynamoDB. Another Lambda function gets triggered with a new message in the SQS queue.

Generative AI 97

Generative AI AWS Lambda Technical Review 97

AWS Machine Learning - AI

MARCH 7, 2024

The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow runs the following steps for each image: 5.1

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AWS Lambda Generative AI Report 113

Dzone - DevOps

MAY 1, 2023

For example, traditional data structures in relational databases started to move forward to a new approach that enables to storage and retrieval of key-value and document data structures using NoSQL databases.

Serverless 83

Serverless Lambda Data Microservices 83

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

Dzone - DevOps

FEBRUARY 10, 2023

One of the teams I recently supported was using Amazon ElasticCache for Redis as a storage/caching layer for their primary workload. Initial Architecture The team built a REST-based service by using API Gateway, AWS Lambda, and Amazon ElastiCache for Redis. In this article, I will share some of the lessons learned.

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Lambda AWS Storage Architecture 91

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.

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Lambda Serverless AWS PHP 40

Xebia

JANUARY 17, 2024

Please also be aware that your lambda function will need the correct permissions to make changes to IAM keys, as well as having a GitLab access token injected so that it has the ability to update variables there. To do this we simply create a Cloudwatch Event Rule.

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Serverless Technical Review Software Review AWS 130

Xebia

AUGUST 29, 2023

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. Integration with AWS Services: AWS Batch seamlessly integrates with other AWS services, such as Amazon S3, AWS Lambda, and Amazon DynamoDB.

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AWS Performance Storage Linux 147

Perficient

MAY 30, 2023

Here’s a high-level overview of how you can leverage AWS services to achieve the desired functionality: AWS Lambda: Use AWS Lambda as the compute service to process the events and perform the necessary updates in Databricks or other AWS services. Amazon API Gateway: Configure Amazon API Gateway as the entry point for your web UI.

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Software Review Systems Review System Lambda 59

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

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Try Render Vercel Earlier known as Zeit, the Vercel app acts as the top layer of AWS Lambda which will make running your applications easy. Features: Simple deployment with just one click. Auto Scaling for traffic surges. Constant deployment that will keep applications updated.

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Serverless AWS Google Cloud Azure 180

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.

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Lambda AWS Policies Serverless 69

Crunchbase News

MARCH 19, 2024

To say investors seem bullish on AI may be the understatement of the decade, as venture funding in the space topped $50 billion last year and is again going full bore with huge rounds for the likes of Figure and Lambda. billion last June.

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Artificial Intelligence Artificial Inteligence Generative AI Insurance 114

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. So, while you no longer have to worry about OS vulnerabilities, it’s still possible to set up less secure apps in AWS Lambda.

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Serverless Lambda AWS Architecture 98

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

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. The central thesis is to stream process all the data.

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Data Engineering Engineering Data Technical Review 130

Xebia

AUGUST 8, 2023

Given this query, the getTotalByOwner function in transaction/lambda/database.ts We can therefore save a bit of storage space by adding a summary every X records (10 in the code example). ScanIndexForward: false, is essential, because it retrieves records starting with the most recent.

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Performance Data Lambda Storage 130

Blue Sentry

OCTOBER 4, 2023

The following are the main cost components with AWS: Compute services include things like Amazon Elastic Compute Cloud or EC2 Amazon Elastic Container Service or ECS Amazon Lambda serverless compute These services are used to run and manage applications and workloads. Storage This is the amount of data you’re storing in AWS.

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AWS Metrics Storage Lambda 52

Altexsoft

APRIL 27, 2023

AWS Lambda), compute services, management applications, and more. AWS offers over 200 fully featured services for computing, storage, database, network, and analytics. This includes mastery of databases, serverless tools (e.g. About AltexSoft AltexSoft is a technology consulting company specializing in travel tech and data services.

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AWS Travel Lambda Software Engineering 52

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 114

Generative AI Lambda AWS Artificial Inteligence 114

Cloud That

NOVEMBER 16, 2022

We need to create a channel, a data pipeline, and data storage to create a dataset. Enter testing_channel as the Channel name, then select Service managed storage as the Storage type, which means AWS IoT Analytics will manage the volumes on the user’s behalf. Creation of Channel. Then, click Next. then click Next.

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IoT AWS Analytics Data 70

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. automate the handling of support tickets in a call center).

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Serverless Microservices Lambda IoT 73

Apiumhub

MARCH 12, 2024

Technical Example : Serverless Computing with AWS Lambda Scenario: A serverless architecture dynamically scales resources in response to events, such as incoming requests or changes in data. We use it to increase storage capacity and the power of the processor. Happy employees mean higher productivity.

Trends 52

Trends Innovation Cloud Serverless 52

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).

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Serverless PHP Applications Lambda 59

Cloudera

JANUARY 6, 2021

Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. employeeMap = employeeRDD.map( lambda x: Row( key = int (x[ 0 ]) , empId =x[ 1 ] , empName =x[ 2 ] , empState =x[ 3 ])). employeeRDD = spark.sparkContext.parallelize(employee). builder. .appName(

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Machine Learning Artificial Inteligence Data Applications 132

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.

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AWS Linux Storage Lambda 84

Stackery

APRIL 15, 2019

For most of the normal operations-headaches like logging, storage, and replicability/expendability, serverless is a breeze. With Epsagon, all you have to do to get detailed performance information on your Lambdas is add a function wrapper to your Lambda code. What do you do? Observability is a Problem for Serverless.

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Serverless Lambda Software Review AWS 58

iTexico

APRIL 15, 2020

iTexico recommended AWS Lambda, a highly dynamic and scalable serverless computing platform with pay-as-you-go and use service model. Every database was migrated to Lambda, and every shared server for the VM's were moved to Amazon's S3 storage service. iTexico implemented the following: A Virtual Machines inventory assessment.

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Lambda Serverless AWS Case Study 52

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

ParkMyCloud

MAY 23, 2019

It’s also an important new component in the emerging world of serverless technologies and is used to enhance the backend implementation of Lambda and Fargate. If you use Lambda or Fargate, you’re already receiving the benefits of Firecracker. Firecracker helps deliver the speed of containers combined with the security of VMs.

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Serverless AWS Lambda Virtualization 73