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confluent

Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core

Nov 20, 2024 By Braeden Quirante In Confluent
Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.
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unravel

BigQuery Cost Management

Nov 6, 2024 By Unravel Data In Unravel
Effective cost management becomes crucial as organizations increasingly rely on Google BigQuery for their data warehousing and analytics needs. This checklist delves into the intricacies of cost management and FinOps for BigQuery, exploring strategies to inform, govern, and optimize usage while taking a holistic approach that considers queries, datasets, infrastructure, and more.
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Cigniti

Cloud Infrastructure Management Services: Enabling Transformation in the Age of AI and Automation

Oct 23, 2024 By Cigniti Technologies In Cigniti
As businesses increasingly adopt cloud technologies to drive innovation, Cloud Infrastructure Management Services (CIMS) have become a cornerstone of successful digital transformation initiatives. With rapid advancements in generative AI, IoT, and connected devices, enterprises want to modernize their infrastructure, enhance integration, and automate processes to remain competitive.
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speedscale

Simplifying AWS Testing: A Guide to AWS SDK Mock

Oct 17, 2024 By Shaun Duncan In Speedscale
Testing AWS services is an essential step in creating robust cloud applications. However, directly interacting with AWS during testing can be complicated, time-consuming, and expensive. The AWS SDK Mock is a JavaScript library designed to simplify this process by allowing developers to mock AWS SDK methods, making it easier to simulate AWS service interactions in a controlled environment. Primarily used with AWS SDK v2, AWS SDK Mock integrates with Sinon.js to mock AWS services like S3, SNS, and DynamoDB.
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kong

RAG Application with Kong AI Gateway, AWS Bedrock, Redis and LangChain

Oct 17, 2024 By Claudio Acquaviva In Kong
For the last couple of years, Retrieval-Augmented Generation (RAG) architectures have become a rising trend for AI-based applications. Generally speaking, RAG offers a solution to some of the limitations in traditional generative AI models, such as accuracy and hallucinations, allowing companies to create more contextually relevant AI applications.
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Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Oct 17, 2024 By Fivetran In Fivetran
Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.
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moesif

Using Moesif with Middy and Serverless for AWS Apps

Oct 15, 2024 By Abu Sakib In Moesif
See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.
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chaossearch

Optimize Your AWS Data Lake with Streamsets Data Pipelines and ChaosSearch

Oct 11, 2024 By Sandro Lima In ChaosSearch
Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.
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Cigniti

Securing Multi-Cloud Environments: Challenges and Best Practices

Oct 7, 2024 By Deekonda Anusha In Cigniti
The adoption of multi-cloud environments has increased as businesses recognize their numerous advantages. A company is considered multi-cloud when it leverages cloud services from two or more providers for its applications and operations. Unlike a single-cloud setup, multi-cloud systems often involve the integration of both private and public clouds or a combination of the two.
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