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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

Indeed, its substantial engagement in these tools highlights the likely key role that AI and ML will play in the future of manufacturing. Zscaler Unsurprisingly, OpenAI.com has emerged as a driving force, accounting for 36% of the AI/ML traffic we observed. Of 36% observed, 58% of traffic to that domain can be attributed to ChatGPT.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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Monitoring vs. Observability: Understanding the Role of Each

Kentik

You probably already use tools to monitor your network. Common monitoring metrics are latency, packet loss, and jitter. Common monitoring metrics are latency, packet loss, and jitter. Observability helps you understand what’s going on in your system to speed up your debugging and make the best decisions.

Metrics 98
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SRE + Honeycomb: Observability for Service Reliability

Honeycomb

As a Customer Advocate, I talk to a lot of prospective Honeycomb users who want to understand how observability fits into their existing Site Reliability Engineering (SRE) practice. Liz recommended a blog post from her time at Google featuring a video where she and Seth Vargo explain how SRE and DevOps relate.

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Building Resilient Public Networking on AWS: Part 1

Xebia

Revisiting Networking Concepts from the Client’s Perspective Welcome to our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. Deploy Secure Public Web Endpoints: Learn the intricacies of deploying a web server and fortifying its public endpoint on AWS.

AWS 130
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The Future of Ops Is Platform Engineering

Honeycomb

Your job will be to move past the kludgey old models of “outsourcing” to sophisticated understandings of how and where to leverage abstractions that can radically accelerate development. .” Two years ago I wrote a piece in The New Stack about the Future of Ops Careers. Engineers who love this work increasingly have a choice to make.

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Accelerate Moving to CDP with Workload Manager

Cloudera

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). Using WM, you get an in-depth understanding of workload problems which leads to finding the root cause. WM can help with: .