Remove Microservices Remove Organization Remove Serverless
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Can serverless fix fintech’s scaling problem?

CIO

With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

The microservices trend is becoming impossible to ignore,” I wrote in 2016. Back then, many would have argued this was just another unbearable buzzword, but today many organizations are reaping the very real benefits of breaking down old monolithic applications, as well as seeing the very real challenges microservices can introduce.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations. The full code repository is available in the accompanying GitHub repo.

Cloud 97
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. The orchestrator is responsible for receiving the requests forwarded by the HTTPS endpoint and invoking relevant microservices, based on the task at hand.

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Azure container Apps: The future of Microservices in Azure?

Xebia

Combining these two trends in the market explains why technologies such as Serverless became popular. Serverless helps in reducing the amount of moving parts you must manage as a development team. . What are the features that development teams want when building and hosting microservices?

Azure 130
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OpsLevel raises $5M to fix DevOps

TechCrunch

With that mission in mind, the team set out to bring engineering organizations back to the roots of DevOps by giving those teams ownership over their services and creating what Rose called a “you build it, you own it” culture. Service ownership, he noted, is something the team regularly sees companies struggle with.

DevOps 267
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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. Organizations can now streamline their AI integration processes by minimizing custom integrations and maintenance bottlenecks.