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 351

Strategy Cloud Generative AI Data Center 351

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 Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image.

AWS 115

AWS Lambda Generative AI Report 115

AWS Machine Learning - AI

APRIL 8, 2024

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.

Artificial Inteligence 97

Artificial Inteligence Applications Knowledge Base AWS 97

AWS Machine Learning - AI

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The React application uses the Amplify authentication library to detect whether the user is authenticated.

Generative AI 99

Generative AI AWS Lambda Technical Review 99

Dzone - DevOps

MAY 1, 2023

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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 52

Lambda AWS Software Review Serverless 52

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 108

Artificial Inteligence AWS Lambda Metrics 108

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.

Lambda 61

Lambda Serverless AWS Architecture 61

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

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.

Lambda 52

Lambda Examples Serverless AWS 52

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.

AWS 147

AWS Performance Storage Linux 147

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Constant deployment that will keep applications updated. 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.

Serverless 180

Serverless AWS Google Cloud Azure 180

Xebia

JANUARY 17, 2024

In order to do manual rotations developers have to keep track of when secrets need to be rotated, perform the process of rotating them, and update the application accordingly. Oftentimes teams have to plan rotation events every few months that involve going through a list of secrets and manually rotating each one.

Serverless 130

Serverless Technical Review Software Review AWS 130

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

Modus Create

MARCH 10, 2021

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. There are a collection of guidelines and tools on Serverless security and Modus Create provides application security consulting, designed to enumerate threats, vulnerabilities, and risks. The New LAMP Stack: Serverless on AWS.

Serverless 59

Serverless PHP Applications Lambda 59

Perficient

MAY 30, 2023

Ensuring real-time status updates for end users in web applications can be challenging, particularly when working with Databricks, which lacks native support for synchronous updates. API Gateway can handle incoming requests from the web UI and trigger the Lambda function for further processing. Node.js: The Node.js

Software Review 59

Software Review Systems Review System Lambda 59

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

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(

Machine Learning 131

Machine Learning Artificial Inteligence Data Applications 131

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.

Artificial Intelligence 115

Artificial Intelligence Artificial Inteligence Generative AI Insurance 115

Perficient

DECEMBER 13, 2023

Perficient is at the forefront of managing and developing applications for numerous clients in the Healthcare sector. Organized Data Storage AWS S3 (Simple Storage Service) stores the structured, unstructured, or semi-structured data. AWS Lambda provides serverless computing & scales based on the number of requests.

Healthcare 52

Healthcare AWS Lambda Data 52

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

Modus Create

MAY 15, 2023

You don’t have to manage servers to run apps, storage systems, or databases at any scale. Legacy databases can’t scale fluidly with your serverless functions, creating a major bottleneck in the scalability of your serverless application. Since it was an isolated feature, we created a separate Lambda function for it on AWS.

Serverless 98

Serverless Lambda AWS Architecture 98

CircleCI

JUNE 6, 2022

The amount of data can be overwhelming in real world applications, so developers must consistently devise methods to access it quickly and efficiently in a programmatic way. This is accomplished through abstract data types , which provide abstraction to your applications. API flow diagram and storage. Prerequisites.

Applications 52

Applications Data Testing Lambda 52

RapidValue

OCTOBER 12, 2020

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Storage – Secure Storage ( Amazon S3 ) and Amazon ElastiCache.

Microservices 53

Microservices AWS Architecture Applications 53

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. Greater Security.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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. Among AWS solutions is a wide range of products for mobile and hybrid application development, management, and deployment.

AWS 52

AWS Travel Lambda Software Engineering 52

Apiumhub

MARCH 12, 2024

This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality. This emerging paradigm ensures that data remains encrypted even when in use by applications or algorithms.

Trends 52

Trends Innovation Cloud Serverless 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. The central thesis is to stream process all the data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

AWS Machine Learning - AI

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

AWS 94

AWS Lambda Applications Generative AI 94

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. build high performant, scalable web applications across multiple data centers).

Serverless 72

Serverless Microservices Lambda IoT 72

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.

AWS 52

AWS Metrics Storage Lambda 52

Cloud That

NOVEMBER 16, 2022

IoT device use has recently increased in applications such as agriculture, smartwatches, smart buildings, IoT retail shops, object tracking, and many more. We need to create a channel, a data pipeline, and data storage to create a dataset. Creation of Data Pipeline. Creation of Dataset. Data Ingestion and Testing. Conclusion.

IoT 70

IoT AWS Analytics Data 70

Linux Academy

MAY 2, 2019

Reduce and Simplify Your Application Stack. 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. So how do these cost savings actually work in practice?

AWS 84

AWS Linux Storage Lambda 84

Palo Alto Networks

MARCH 10, 2021

VM-Series is the industry-leading virtualized firewall protecting your applications and data with next-generation security features that deliver superior visibility, precise control and threat prevention at the application level. Application Visibility and Threat Detection. Rapid Detection and Response Against Advanced Attacks.

AWS 98

AWS Firewall Lambda Network 98

Stackery

APRIL 15, 2019

Stackery is a tool to deploy complete serverless applications via Amazon Web Services (AWS). For most of the normal operations-headaches like logging, storage, and replicability/expendability, serverless is a breeze. With Stackery’s new “integrations” section, just add your Epsagon token to instrument your Lambdas.

Serverless 58

Serverless Lambda Software Review AWS 58

AWS Machine Learning - AI

FEBRUARY 19, 2024

Therefore, a managed solution that handles these undifferentiated tasks could streamline and accelerate the process of implementing and managing RAG applications. It also supports source attribution and short-term memory needed for RAG applications. A contextually relevant response is sent back to the chatbot application and user.

Knowledge Base 95

Knowledge Base Artificial Inteligence Applications Lambda 95

Linux Academy

MAY 1, 2019

Reduce and Simplify Your Application Stack. 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. So how do these cost savings actually work in practice?

AWS 60

AWS Linux Storage Lambda 60