AWS Machine Learning - AI

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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Generative AI Artificial Inteligence AWS Machine Learning 106

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. What to learn more?

Serverless 72

Serverless Microservices Lambda IoT 72

Kentik

JUNE 21, 2021

For AWS cloud networks, the Transit Gateway provides a way to route traffic to and from VPCs, regions, VPNs, Direct Connect, SD-WANs, etc. However, AWS offers no easy way to gain visibility into traffic that crosses these devices — unless you know how to monitor Transit Gateways. data centers, offices, branches, etc.).

How To 82

How To WAN Construction Network 82

Linux Academy

FEBRUARY 26, 2019

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. You will walk through a local installation as well as how to use our Cloud Servers in order to follow along with our demos.

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Linux AWS Big Data Course 80

CircleCI

MAY 18, 2021

Another big benefit is that serverless computing fits well into both traditional and microservice architectures. A few examples are: Serverless by AWS. Creating a storage account. Azure functions require a storage account to maintain state and other information about your projects. Creating an Azure function application.

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Azure Serverless Storage Groups 52

AWS Machine Learning - AI

APRIL 30, 2024

This outcome is achieved with a combination of AWS IAM Identity Center and Amazon Q Business. Many AWS enterprise customers use Organizations, and have IAM Identity Center organization instances associated with them.

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Generative AI AWS Enterprise Authentication 98

Protera

SEPTEMBER 13, 2022

IT infrastructure management is comprehensive, encompassing everything from performance monitoring to maintenance and storage to optimization to system troubleshooting and more. Schedule a demo with Protera today to begin your transformation! 5 Managed IT Services Every Enterprise Depends On. Infrastructure Management.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack.

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Machine Learning Artificial Inteligence Scalability Data Engineering 107

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex supplies the natural language understanding (NLU) and natural language processing (NLP) interface for the open source LangChain conversational agent embedded within an AWS Amplify website. Solution architecture The following diagram illustrates the solution architecture.

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Generative AI Lambda AWS Technical Review 94

Honeycomb

SEPTEMBER 20, 2018

Someone on your team puts up a couple of AWS EC2 instances for Logstash, the cluster nodes, and Kibana, and you might get some useful data flowing for your team to use to troubleshoot problems. All storage nodes are unreachable from the internet. Scaling takes resources you’d rather use to drive your business.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details. The following diagram illustrates the solution architecture. AWS Identity and Access Management (IAM) permissions for the preceding resources. Postprocessing is disabled by default.

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Knowledge Base Insurance Lambda AWS 116

OverOps

DECEMBER 17, 2019

Error information captured by the agent is placed into shared memory and sent to storage by the daemon process. Data Storage. After this process, your encrypted information is stored in the cloud (AWS). OverOps’ RAM consumption doesn’t affect the JVM that’s being monitored. Capped Network Overhead (< 50MB per hour).

Enterprise 32

Enterprise Analysis SDLC AWS 32

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Apache Ozone caters to both these storage use cases across a wide variety of industry verticals, some of which include: . Diversity of workloads. release version.

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Storage System Artificial Inteligence Big Data 86

AWS Machine Learning - AI

MARCH 27, 2024

This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise. The following architecture diagram shows the final implementation of zAdviser Enterprise utilizing generative AI to provide summarization, analysis, and recommendations for improvement based on the DORA metrics KPI data.

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DevOps Artificial Inteligence Generative AI Enterprise 84

Honeycomb

AUGUST 17, 2023

You can create a data lifecycle that handles long-term storage. Architecture overview to add the exporter Sending data to either Honeycomb or S3 is roughly the same amount of effort. I called mine ` ca-otel-demo-telemetry `. Create an S3-writable IAM account in AWS. Create an S3-writable IAM account in AWS.

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Linux Academy

AUGUST 29, 2019

You will walk through a local installation as well as how to use our Cloud Servers in order to follow along with our demos. Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. AWS Essentials. AWS Essentials. AWS Concepts.

Linux 18

Linux Course AWS Google Cloud 18

Stackery

NOVEMBER 25, 2019

ARC211-R Scaling up to your first 10 million users by Brian Farnhill and Hong Pham , Solutions Architects @ AWS. In general, it provided an overview of the best AWS tools to use when scaling your application. Using specific development workflow best practices and AWS tooling tailored to your user count. The actual answer?

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Serverless AWS Scalability Resources 10

Tenable

FEBRUARY 12, 2024

AWS IAM Access Analyzer can now detect action-level unused permissions. As part of a string of exciting announcements made at re:Invent in December 2023, Amazon introduced new AWS IAM Access Analyzer features including an Analyzer for unused access as well as custom policy checks. Find out why and what you can do to complement it.

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Software Review Technical Review Policies AWS 59

Kentik

FEBRUARY 20, 2023

These distributed, data-intensive architectural components require layers of abstraction for deployment, orchestration, security, observability, and platform integrations, creating complex and dynamic networks. Cloud networking helps enterprises ensure these connections are cost-effective, secure, performant, and reliable.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. We’ll also provide demo code so you can try it out for yourself. An end-to-end architecture for the Internet of Things. trillion by 2024.

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IoT Google Cloud Scalability Microservices 97

Confluent

APRIL 11, 2019

At Confluent, we see many of our customers are on AWS, and we’ve noticed that Amazon S3 plays a particularly significant role in AWS-based architectures. Unless a use case actively requires a specific database, companies use S3 for storage and process the data with Amazon Elastic MapReduce (EMR) or Amazon Athena.

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AWS Authentication Fashion Data 110

Cloudera

OCTOBER 18, 2022

Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights.

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Cloud Analytics AWS Engineering 85

Kaseya

SEPTEMBER 14, 2022

Companies can either transfer their data to public cloud service providers like Microsoft Azure, Google Cloud, or Amazon Web Services (AWS) , set up their private cloud computing environment or create a hybrid environment. Multicloud setups involve connecting multiple public clouds in one architecture to create a single user experience.

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Strategy Cloud Software Review Technical Review 59

Apiumhub

OCTOBER 20, 2020

It can be used to provision entire infrastructures that span across multiple public and private cloud providers like AWS, Google Cloud, Microsoft Azure, OpenStack and others. Client-only architecture. The most common 2-tier architecture is a pool of web servers that use a database tier. with “providers” .

Software Review 52

Software Review Load Balancer DevOps Infrastructure 52

The Citus Data

OCTOBER 28, 2020

Their setup was deployed on AWS and GCP, across different data centers in different regions. AWS Redshift was not able to offer independent scaling of storage and compute—hence our customer was paying extra cost by being forced to scale up the Redshift nodes to account for growing data volumes. in the distributed cluster.)

Analytics 98

Analytics Azure Storage Architecture 98

OverOps

SEPTEMBER 9, 2019

In this blog, Lorenzo Conti, Principal Implementation Engineer, OverOps and Artem Danielov, CTO, FlashGrid , share their experience with building an event capture system in AWS that spans three availability zones. The question our team faced was whether or not it’s possible to set up an Oracle RAC database in AWS.

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AWS Analysis Storage Enterprise 35

Kentik

SEPTEMBER 27, 2019

Project Pacific : A new architecture for vSphere with Kubernetes deeply integrated that provides the following capabilities: vSphere with Native Kubernetes. Expansion of recent partnerships in VMware Cloud on AWS: Aims to help customers migrate and modernize applications with consistent Infrastructure and operations. Multi-cloud.

Load Balancer 53

Load Balancer Conference AWS Virtualization 53

Daniel Bryant

SEPTEMBER 13, 2019

being able to deploy each app to multiple clouds), and instead they wanted to leverage different clouds and platforms to meet different requirements e.g. AWS EKS for microservices, Azure functions for event-driven simple batch processing, and Google’s data engineering and machine learning services.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Cloudera

NOVEMBER 28, 2017

The game-changing architecture of Altus Analytic DB eliminates the complexities of managing across all these different tenants and ensures simple, consistent security and governance. All tenants can have direct access to all data in object storage, with no need to move data between workloads or maintain multiple data copies.

Analytics 40

Analytics Cloud Data Data Engineering 40

Confluent

MAY 28, 2019

Here, we explore 17 pitfalls that operators make, because we want to make sure your Schema Registry is rock solid if you decide to self-manage this important component in your architecture. In a single-primary architecture, only the primary Schema Registry instance writes to that Kafka topic. Bad designs. Other articles in this series.

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Weak Development Team Backup Disaster Recovery Applications 83

Netlify

AUGUST 2, 2020

Truly though, Smashing Magazine’s migration off of WordPress and onto the Jamstack architecture proved to be one of the most monumental moves of its time. All of these large media assets are backed by Netlify’s Edge – our robust and redundant cloud storage. Read more about this milestone.

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Engineering Media Analytics Serverless 59

Altexsoft

OCTOBER 8, 2021

data migration — the process of moving data from one storage system to another; data virtualization — the process of creating virtual (logical) views of data without moving it physically; data replication — the process of creating a copy (replica) of data from one system in another, and. Snaplogic iPaaS architecture. Pricing model.

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Tools Data Software Review Open Source 52

Altexsoft

MAY 30, 2020

Caching means keeping data in a temporary storage place to call it faster when needed. The barrier will be even higher if you’ve never used Microsoft products before and you have to migrate from say AWS cloud ecosystem to Azure. Reliable and simple caching system. The gap between release and stability.

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Weak Development Team Programming Software Review .Net 130

Altexsoft

OCTOBER 17, 2019

Data custodian – manages the technical environment of data maintenance and storage. However, any team must include the person who manages the whole process, the one who does quality checks, manages data quality rules, develops data models, and a techie who maintains the flow of data and its storage across the organization. .

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Tools Data Technical Advisors Technical Review 16

LeanEssays

JULY 14, 2019

As the company outgrew its traditional cathedral-style software architecture in the early 2000’s, the leadership team felt that the growing pains could be addressed with better communication between teams. In 2018 AWS was a $25 billion / year business, growing at very fast clip. But CEO Jeff Bezos disagreed.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

AWS Machine Learning - AI

MARCH 19, 2024

For multiple-choice reasoning, we prompt AI21 Labs Jurassic-2 Mid on a small sample of questions from the AWS Certified Solutions Architect – Associate exam. Prerequisites This walkthrough assumes the following prerequisites: An AWS account with a ml.t3.medium We use Cohere Command and AI21 Labs Jurassic-2 Mid for this demo.

Performance 98

Performance Lambda Technical Review AWS 98

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64