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Nvidia AI Enterprise adds generative AI microservices

CIO

of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. Containers, Generative AI, Microservices, Nvidia Version 5.0 Nvidia’s AI Enterprise 5.0

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Nucleus aims to simplify the process of managing microservices

TechCrunch

An increasing number of organizations are adopting microservices, the loosely-coupled, independently-deployable services that together make up an app. The widespread microservices adoption has spawned new problems in app development, however. ” Drenova acknowledges the many rivals in the microservices orchestration space.

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Article: Scaling Challenges: Productivity, Cost Efficiency, and Microservice Management

InfoQ Culture Methods

By examining challenges such as managing peak transaction volumes and orchestrating microservice architectures, we aim to uncover the valuable lessons learned and insights gained from Trainline's journey through the dynamic landscape of digital transportation platforms.

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Microservices orchestration platform Temporal raises $75M and remains a unicorn

TechCrunch

Temporal , an open source microservices orchestration platform used by companies, including Netflix, Snap and Comcast, has raised $75 million from a slew of high-profile investors including Sequoia Capital and Greenoaks. The startup has also maintained its coveted unicorn status with a valuation of “just over” $1.5

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A Microservices Strategy Underpins Every Successful Cloud Native Migration

In a cloud native world, applications are created from loosely coupled microservices instead of being a monolithic entity. Microservices are small, autonomous components, organized around business domains, that are easily monitored, tested, and updated, bringing greater business and operational agility.

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Cross-Platform Integration: Enabling Seamless Workflow Between AI, Microservices, and Azure Cloud

Dzone - DevOps

Moreover, this integration is particularly critical and has to be effectively designed when combining AI capabilities, microservices architecture, and cloud platforms like Azure. These components, when integrated, offer powerful solutions that drive innovation and efficiency across various domains.

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Spring Microservice Tip: Abstracting the Database Hostname With Environment Variable

Dzone - DevOps

Managing database connection strings securely for any microservice is critical; often, we secure the username and password using the environment variables and never factor in masking or hiding the database hostname. This article discusses configuring the hostname through environment variables in the properties file.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

Join us for an episode you can’t miss if you’re finding it a lot harder to architect in practice than in theory, and learn how you can shed light on the dark side of microservices. Establishing the boundaries of your teams and services. How to choose what technologies/processes to adopt given the diverse and rapidly changing landscape.

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity.