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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. This results in more robust applications that can withstand failures in individual services.

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The Future of Serverless is … Functionless?

Stackery

Lately, I’ve seen some talk about an architectural pattern that I believe will become prevalent in the near future. I first heard about this pattern a few years ago at a ServerlessConf from a consultant who was helping a “big bank” convert to serverless. Construct infrastructure templates (e.g.

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re:Invent Serverless Talks — Serverless SaaS Deep Dive

Stackery

But after two days of discussing serverless development and AWS tooling with the many awesome folks who have visited the Stackery booth (plus the primer I attended on day one) I was actually feeling pretty limber for the marathon that was “Serverless SaaS Deep Dive: Building Serverless on AWS”. Serverless for SaaS.

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Serverless: A simple overview

O'Reilly Media - Ideas

Get a basic understanding of serverless, then go deeper with recommended resources. Serverless is a trend in computing that decouples the execution of code, such as in web applications, from the need to maintain servers to run that code. Serverless also offers an innovative billing model and easier scalability.

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

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.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

The following diagram provides a simplified view of the solution architecture and highlights the key elements. 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. Invokes the Amazon Bedrock InvokeModel API action.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. Target architecture: connecting the pieces The key to insightful Grafana dashboards is having access to relevant application metrics.

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