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cloudzero

Mastering AI Spend With CloudZero And LiteLLM

Dec 2, 2025 By Kaitlin Woo In CloudZero
The AI landscape today feels a lot like the early days of the cloud: exciting, fast-moving, and completely fragmented. Every week, engineering teams are experimenting with dozens of large language models (LLMs) from providers like OpenAI, Anthropic, Google, Mistral, Meta, and beyond. They’re tweaking prompts, testing model performance, swapping context windows, and even running multiple models in parallel to figure out which one works best for each unique use case.
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Autonomous SOC: Moving Toward Self-Driving Security Operations

Autonomous SOC: Moving Toward Self-Driving Security Operations

Dec 2, 2025 By OpsMatters In OpsMatters
The idea of a fully autonomous security operations center (SOC) sparks fascination and skepticism in equal measure. Swimlane defines an autonomous SOC as a center that uses AI, machine learning and automation to handle a significant portion of security tasks, including threat detection, triage and even remediation, with minimal human intervention. The goal is to free analysts from repetitive tasks so they can focus on strategy and threat hunting. Although a completely selfdriving SOC remains aspirational, advances in hyperautomation, enterprise automation architectures and AI agents are bringing us closer.
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European enterprises prioritise governance in AI deployments, as North America accelerates towards full autonomy

European enterprises prioritise governance in AI deployments, as North America accelerates towards full autonomy

Dec 1, 2025 By Digitate In Digitate
Digitate report reveals differing approaches to AI deployment between Europe and North America, but ROI remains consistent. Europe leading on governance while NA organisations show faster progress towards autonomous operations.
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datadog

Accelerate investigations with AI-powered log parsing

Dec 1, 2025 By Usman Khan In Datadog
When debugging production issues, investigating security incidents, or analyzing network traffic, engineers and analysts need not only to find the right logs but to make sense of all the dense, unstructured data generated by different systems. Logs rarely ship neatly laid out in a way that facilitates filtering, faceting, or graphing for every possible scenario. As a result, teams often find themselves writing regular expressions or custom parsers on the fly, which can be error-prone and time-consuming.
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datadog

Monitor Claude Code adoption in your organization with Datadog's AI Agents Console

Dec 1, 2025 By Ali Al-Rady In Datadog
AI coding assistants are quickly becoming a core part of software engineering workflows, helping developers write, refactor, and review code faster. But without effective monitoring, it can be difficult to know whether these tools are performing reliably and proving useful to engineers. As organizations scale their use of tools like Claude Code, key questions emerge.
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onpage

AI Infrastructure Is Creating a New Wave of Incidents, And Why Enterprises Need a Modern On-Call Strategy

Dec 1, 2025 By Ritika Bramhe In OnPage
Over the last few years, AI has quietly shifted from a fascinating experiment to a core operational system. Enterprises aren’t just building prototypes anymore — they’re deploying LLMs into production environments where uptime directly affects customer interactions, revenue flows, and business continuity. AI has essentially become a new layer of critical infrastructure. Because of that shift, the definition of “reliability” is changing.
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cloudzero

From FinOps for AI to AI-Native FinOps

Dec 1, 2025 By Erik Peterson In CloudZero
One year ago, at AWS re:Invent, we launched CloudZero Advisor, a free, standalone AI assistant that enables anyone to ask questions about cloud spend in plain language. It was the first experiment of its kind in FinOps, a chance to see what people really wanted to know when cost data finally became conversational. Over the past year, Advisor has become a learning engine.
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Why AI Will Push #Telemetry Budgets to the Breaking Point in 2026

Dec 1, 2025 By Cribl In Cribl
Telemetry growth is about to hit a new level in 2026. Nick Heudecker from Cribl walks through our new predictions report and explains why observability costs are set to surge again, with more than a third of enterprises spending at least 15 % of their IT budgets on telemetry alone. He also shares how agentic AI adds new risk to the data pipeline, why most AI workloads will struggle to scale, and how platform shifts and market forces will reshape the data landscape.
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#AI Powered Data Protection Inside Cribl Guard

Dec 1, 2025 By Cribl In Cribl
Cribl Guard uses an always running AI agent to spot sensitive data as it moves through your environment and recommend the right protections in real time. In this demo, you will see how the agent samples live events, identifies patterns like credentials and credit cards, and turns them into one click fixes that keep your destinations safe. Faster detection, smarter rule recommendations, and instant mitigation. This is what modern data protection looks like.
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