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Foundation first: Why building a resilient IT infrastructure is your path to AI-readiness

Sep 22, 2026 By Sairam T A In ManageEngine

Strategically ready, operationally unsure. That's how 42% of organizations describe their own AI preparedness when it comes to strategy versus infrastructure, data, risk, and talent, according to Deloitte's State of AI in the Enterprise 2026 report. As AI adoption accelerates, organizations now face the mounting pressure from the board to move past pilots and show AI delivering measurable business outcomes.

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Synthetic Monitoring Is Broken. Your Production Traffic Can Fix It.

Sep 22, 2026 By Ken Ahrens In Speedscale

Synthetic monitoring has been a critical part of application reliability for years. It gives engineering and operations teams a way to proactively test applications, APIs, and critical customer journeys before users encounter problems. But there is a fundamental limitation with the traditional approach: Someone has to create the tests. As applications become more distributed and customer journeys become more complex, organizations can end up maintaining hundreds or even thousands of synthetic scripts. Every new feature, API, dependency, or change to a customer journey can require another update.

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AI adoption surges ahead of governance across the UK public sector

Sep 22, 2026 By SolarWinds In SolarWinds

Only 8% of UK public sector IT professionals say AI is fully governed, while just 16% report full compliance with Secure by Design principles.

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Diskless Topics on Aiven for Apache Kafka

Sep 22, 2026 By Aiven In Aiven

Diskless moves Kafka replication into object storage, removing cross-AZ fees. See how diskless topics work, then create one live on Aiven for Apache Kafka. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.

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AI Agent Observability: What to Trace and What It Catches

Sep 22, 2026 By Sejal Pandey In Last9

AI agent observability means tracing tool calls, reasoning steps, and handoffs, not just tokens and latency. Here's what to instrument and why. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

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When users don't click thumbs up: Inferring agent feedback from Datadog telemetry

Sep 22, 2026 By Datadog In Datadog

Collecting high-quality user feedback on agents, like from thumbs-up or thumbs-down buttons, is an important part of agent development. User feedback is needed for everything from basic gut checks on whether your agents are behaving well to planning and creating robust eval sets. It’s a critical part of Datadog’s Agent Observability, which provides explicit end-user feedback features for collecting and analyzing it.

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Cut AI agent cost and improve accuracy with Code Execution in the Datadog MCP Server

Sep 22, 2026 By Datadog In Datadog

Observability investigations rarely follow a straight line. A latency question might cause an AI agent to start with a metric, pivot into traces, compare a deployment window, and finish by reducing thousands of logs to a few patterns. Each individual query is easy, but propagating context throughout an entire investigation can be tricky and expensive.

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17: There's No Life Without AI: Agents, MCP, and the Future of Automation With Viktor Farcic

Sep 22, 2026 By Kubex In Densify

On this episode of Kubex Talks, technology critic Viktor Farcic returns to talk with Andrew Hillier about the rapidly changing landscape in tech. Viktor has gone from AI skeptic to believer, claiming that there really is no life without AI anymore, from a professional standpoint.

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Densify

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Best LLM inference providers 2026: 16+ on cost per outcome

Sep 22, 2026 By Lyne Carolyne In CloudZero

An LLM inference provider hosts open-weight models like Llama, DeepSeek, and Qwen behind a pay-per-token API, handling GPUs, scaling, and serving for you. The same Llama 3.3 70B model ranges from $0.10 to $1.04 per million input tokens depending on who serves it, so provider choice is a pricing decision. Top picks as of September 2026: Groq and Cerebras for speed, DeepInfra for price, Together and Fireworks for breadth, Baseten for custom models.

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