Remove Data Remove Google Cloud Remove Microservices
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ServiceNow reimagines platform for agentic AI

CIO

An agentic era needs a platform that brings AI, data, and workflows together, and that should be an open, connected, enterprise-ready platform, said ServiceNows chief innovation officer Dave Wright in a press conference last week. ServiceNow said it expects the new model to be available in Q2 this year.

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Lightspeed backs CommandK’s mission to become the go-to enterprise security command center

TechCrunch

Companies accumulate a lot of sensitive data and store secrets, such as API tokens, SSH keys and personally identifiable information. The San Francisco-based startup lets companies deploy its solution within their virtual private cloud to protect their sensitive data and keys without requiring advanced security skills.

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The changing cloud landscape: From observability to optimization

TechCrunch

Over the last few years, cloud computing has grown more expensive than ever. Initially drawn to the promise of cutting costs on infrastructure spend, companies far and wide flocked to behemoths like AWS and Google Cloud to host their services. Numbers are approximated based on data from Synergy Research Group.

Cloud 241
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Microservices Architectural Design by using Spring Boot

Perficient

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

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Informatica Intelligent Cloud Services (IICS) Cloud Data Integration (CDI) for PowerCenter Experts

Perficient

Informatica Power Center professionals transitioning to Informatica Intelligent Cloud Services (IICS) Cloud Data Integration (CDI) will find both exciting opportunities and new challenges. While core data integration principles remain, IICS’s cloud-native architecture requires a shift in mindset.

Cloud 52
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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

Model Context Protocol (MCP) aims to standardize how these channels, agents, tools, and customer data can be used by agents, as shown in the following figure. Developed by Anthropic as an open protocol, the MCP provides a standardized way to connect AI models to virtually any data source or tool.

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Yotascale raises a $13M Series B to help companies track and manage their cloud spends

TechCrunch

And you don’t build an in-house data center team. Instead, you farm out your infrastructure needs to the major cloud platforms, namely Amazon AWS , Microsoft Azure and Google Cloud. Throw in microservices and one can wind up with a big muddle, and an even bigger bill. What’s coming from the company?

Cloud 250