đź‘‹ Welcome,
I am Ian Bog’Ste, an experienced professional who transitioned from a role of Software Development Engineer (SDE) to that of an Engineering Manager (SDEM).
Within these pages, I share my insights and perspectives on a diverse range of subjects, such as:
- The broader landscape of Technology
- The evolving field of Artificial Intelligence (AI)
- The nuances of efficient Engineering Management
- Trends and best practices in Software Engineering
- Art and techniques of (Landscape) Photography
- Stuff on Books, Video Games and my Hobbies
I appreciate your interest and thank you for stopping by.
Latest Updates
My Thoughts on:
Contracting Outcome-based Services: The Wake‑Up Call Executives Can No Longer Ignore
Generated with DALL-E AI on Microsoft Copilot
Most Managed Service Providers (MSPs) are still relying on traditional go-to-market pricing models that date back to the early 2000s (for example, models such as Cost-Plus or Per-User). To differentiate, and because of the quick spread of complex technological trends brought on by the Cloud Era, some have moved on and adopted new ways of delivering, such as consumption-based pricing. The emerging signals, what is considered state-of-the-art today, are outcome-based models that tie the provider’s compensation to measurable results such as uptime, resilience, performance, and customer experience. MSPs no longer play a small part role, such as the classical one just focused on outsourcing; they become an important catalyst for facilitating growth and innovation if leveraged properly by any organization.
Outcome‑based pricing is also a mirror. It reflects whether an enterprise is truly aligned around value creation. Those that embrace it will unlock resilience, efficiency, and competitive advantage. Those that cling to outdated models will continue to pay for outages, inefficiency, and lost competitiveness.
The evolution to Cloud Operations: engineering for resilience
Generated with DALL-E AI on Microsoft Copilot
In today’s interconnected online infrastructure space, things move at an almost incredible fast pace. While the Cloud is not new, recent outcomes in the Artificial Intelligence field have only increased the need for businesses to adapt and deliver on outcomes. This article is aimed at sharing valuable insights on aligning engineering practices with business goals to drive sustained success and innovation in a competitive market.
Continue to explore the transformative journey towards Cloud Operations, delving beyond the traditional borders of Release Management.
Book Review: Death's End
The “Remembrance of Earth’s Past” series maintains reader engagement throughout its narrative, despite a shift in writing style in the third book. This final installment strikes a balance between plot advancement and character development, keeping the story fresh while building an enticing storyline.
Artwork by Tor Books
[Spoiler Alert: This review contains plot details from the third book in the “Remembrance of Earth’s Past” series.]
Book Review: Metro 2033
Metro 2033 gave me a rare opportunity: to deepen my experience within its Lore, one already well-established by the Video Game Series with the same name.
In this Novel we follow Artyom, an unassuming Citizen of the world of Moscow Metro, that embarks on an Odyssey around this perilous underground in order to save his Community. His journey will be filled by twists and turns which leave the Reader in awe and unable to predict a lot of the events building up the narrative.
Metro 2033 (Novel) Cover Image
Scalability in Generative AI: Blending Technological prowess and a People-first approach
Generated with DALL-E AI on Microsoft Copilot Designer
In the rapidly evolving landscape of Artificial Intelligence technology, Generative AI stands at the forefront of innovation and its correct implementation is a pivotal factor in maintaining a competitive edge.
The principle of Scalability in Generative AI is akin to a coin with two distinct yet inseparable sides. On one side, the Technology must evolve to support dynamic business needs, scaling up without losing sight of performance or ethical standards. On the flip side, it is about the People who power these innovations—a Workforce adept in AI tools, backed by robust training and supported by ethical governance.
