Greetings, Future Tech Titans! 👋

The AI revolution isn’t just about reshaping how we work—it’s about transforming how we see our systems. This month, that clarity came in the form of observability. After rigorous testing, we’ve made a confident choice to adopt Grafana Cloud as our go-to observability platform. And I can say this: it’s already proving to be a game-changer for our infrastructure and operations.

In this edition of Tiny Big Spark, I’m sharing what we learned, why it matters, and how Grafana Cloud—with its AI-powered insights, cost efficiency, and industry-standard stack—is set to redefine how we operate.

We’ll dive into:

• Why observability is our strategic edge: More than monitoring—this is about prediction, prevention, and performance.

• How Grafana Cloud stood out: Familiar tools, smart architecture, and real cost savings.

• Sift Investigation and the future of predictive observability: Machine learning meets hardware foresight.

• My personal take: The path we’re on, what excites me most, and how this changes the game.

If you’re curious about the future of resilient infrastructure and smart investment, this one’s for you.

Let’s dig in!

Erwin Dwight

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FREE CONTENT

Grafana Cloud’s Sift Sparks FinTech Revolution

In the high-stakes world of FinTech, where every second and byte counts, our OpenStack cloud demands observability that predicts, protects, and saves. Enter Grafana Cloud, our chosen platform after rigorous testing, now set to transform our 40,000-core infrastructure with AI-driven Sift Investigation. This game-changing tool anticipates hardware failures, slashes costs by millions, and ensures data compliance in Japan, all while leveraging our Grafana expertise and Prometheus standards. Discover how Grafana Cloud’s cost-effective, predictive observability is lighting the way for seamless operations and innovation in our FinTech-driven landscape!

FREE CONTENT

LLMs are Dissolving & Creating Work

Paul Millerd reflects on his recent experience using LLMs like those in Cursor to develop web applications, a skill he previously lacked rapidly. He argues that this highlights a broader shift where LLMs are "dissolving" low-skill administrative tasks often performed by highly paid knowledge workers, freeing them for more creative and strategic work. This necessitates a move from focusing on automation to "augmentation," unlocking new capabilities within organizations. While this technological shift promises increased productivity and new opportunities, Millerd anticipates resistance to change and raises questions about traditional organizational structures and the future of the labor market as more people gain access to powerful AI tools. He advises readers to experiment with these technologies to understand their impact on their own work and future paths.

FREE CONTENT

3 Buckets of Work Time

In a reflective piece on reorganizing his workday, Cory discusses how he maintains productivity while leading a global team from Oklahoma. He divides his work into three categories: Conversations, Doing the Work, and Thinking About the Work. As he adjusts to leadership transitions and juggles family responsibilities in his late 40s, Cory seeks to establish routines that are invigorating rather than limiting, while recognizing the importance of managing his inclination toward overextension and anxiety.

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That’s it for this episode!

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