Remove tag cloud-centric
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Databricks acquires AI-centric data governance platform Okera

TechCrunch

. “Historically, data governance technologies, regardless of sophistication, rely on enforcing control at some narrow waist layer and require workloads to fit into the ‘walled garden’ at this layer,” the company explains in a blog post. What they need is a modern, AI-centric governance solution.

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Perimeter Is Where Your Workload Is: Creating Policy Abstracted from IP Addressing

Palo Alto Networks

Cloud, containers and microservices are some of the disruptive technologies that have had a transformative impact on enterprise security in recent years. Security boundaries in the data center have traditionally been network centric. By Christer Swartz, global consulting engineer.

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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

In this blog series, we explore how these three dimensions figure into key technical recommendations which enable scale in pursuit of SaaS business growth. Customer-centric software delivery SaaS sets solving customer problems as its north star. Examples abound: All major database systems have a feature for logging slow queries.

Metrics 130
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AWS Developer Tools Overview and CodeCommit Cheat Sheet

Linux Academy

So, hold my beer and keep calm while you read this blog because the ramp-up to these tools can be pretty quick. A lot of keywords and catchphrases in there that are Dev-centric: “DevOps”, “rapidly and safely deliver software”, “source code”, “build, test, deploy”. Cloud9 is a cloud-based IDE and a good one at that. AWS CodeStar.

AWS 60
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How Kentik Helps Assess AWS Visibility

Kentik

It’s (becoming) a cloud-centric world. Workloads are moving from on-prem to one or more of the big clouds (namely AWS, GCP, Azure, IBM, and Oracle). This summer, Kentik extended our analytics platform to support visibility within public cloud environments via VPC Flow Logs. Review: Why VPC Flow Logs?

AWS 63
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Flash Prices are Dropping. Now What?

Infinidat

To do that, let’s add a few more dimensions into the discussion: The Movement to a Data-Centric Architecture. Charlie Giancarlo from Pure Storage wrote an excellent blog about the architectural shift from “big compute” with large, legacy applications, to small, transient/stateless compute (e.g. I think there’s a hole in that logic.

WAN 74
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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

Despite technological advancements, the human-centric model remains deeply ingrained in order processing, leading to these limitations. Always put your response to the Human within the Response tags. Also add an XML tag to your output identifying the human intent.nHere are some examples:n H: hi there.nnA: Hi, how can I help you today?nnH: