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Serverless and Edge Runtime

Apiumhub

This is the introductory post in a two-part series, exploring the world of Serverless and Edge Runtime. The main focus of this post will be Serverless, while the second one will focus on an alternative, newer approach in the form of Edge Computing. Scalability Of course, going serverless is not only for small projects.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. In this post, we illustrate contextually enhancing a chatbot by using Knowledge Bases for Amazon Bedrock , a fully managed serverless service.

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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

System integration – Agents make API calls to integrated company systems to run specific actions. Each action group can specify one or more API paths, whose business logic is run through the AWS Lambda function associated with the action group. The schema allows the agent to reason around the function of each API.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

However, back in 2008, Microsoft hadn’t even imagined the impact building the new software platform, Windows Azure, would have made on the company’s future and its services. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Read the article.

Azure 52
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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

With serverless being all the rage, it brings with it a tidal change of innovation. 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., I will resist ;). Elasticity.

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Beyond Visibility: Proactive Cloud Workload Security in the Real World

Prisma Clud

Even more interesting is the diversity of these workloads, notably serverless and platform as a service (PaaS) workloads, which account for 36% of cloud-based workloads , signifying their growing importance in modern technology landscapes. Their expertise and diligence are indispensable alongside DevOps and security teams.

Cloud 105
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Comparing Serverless Architecture Providers: AWS, Azure, Google, IBM, and other FaaS vendors

Altexsoft

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. But that wasn’t enough.