Ben Lowe discusses why IBM Turbonomic is the perfect platform to launch the Lighthouse vision for “intelligent operations” and the enhanced use of AI technology.

During my time at IBM around the 2021 acquisition of Turbonomic, global operational costs—from IT to hiring to inflation—were becoming increasingly challenging for organizations.

As we entered 2022, it became clear that Turbonomic was not merely a temporary fix for cost-cutting. Instead, it represented a pivotal component of a robust IT strategy, poised to support businesses as they pivoted back to growth—a timing always uncertain but inevitably occurring.

Turbonomic is often framed simply as a cost-cutting tool, but its impact is much more profound.

At the inception of Lighthouse, we envisioned creating a business that not only grasped this deeper value but could also communicate it effectively to enterprise organizations as part of a comprehensive, long-term strategy.

Most importantly, we aimed to translate this into the language that resonates with them.

Lighthouse was born out of the necessity to navigate organizations through tough financial times, aiming for the ‘light at the end of the tunnel’—a symbol of trust, hope, and growth.

Recently, I’ve encountered statistics from various vendors indicating that 80% to 85% of global workloads have yet to transition to the cloud, which is surprisingly high.

This reveals a trend where rising costs and outdated on-premises hardware meet faster innovation in the cloud, creating a perfect storm. Organizations, particularly those dealing with VMware architectures, are now compelled to re-evaluate their future strategies.

A common misconception about Turbonomic is that it’s only meant for organizations with “legacy” infrastructures transitioning to the cloud. This myth underestimates its utility for modern “cloud-first” architectures, which, despite their design for elasticity, still require substantial manual effort to manage. Changes in baselines and the complexity of custom architectures across different regions and teams make management challenging.

Turbonomic’s AI engine is a game-changer here, offering predictive analytics to proactively adjust resources and enhance reliability and performance across IT systems. It excels in cloud-first, elastic environments by enabling automated scaling, optimizing resource allocation, managing complexity, and controlling costs—all crucial for maintaining system efficiency and uptime without unnecessary expenditure.

In terms CTOs and CFOs can appreciate, Turbonomic not only enhances service reliability and performance but also drives significant cost reductions by intelligently adjusting resources like computing power and storage in real time.

This adaptability allows operations to scale efficiently in response to demand fluctuations, optimizing economic efficiency.

Moreover, its predictive capabilities forestall potential disruptions, ensuring smooth operations and a consistently high-quality customer experience—critical for maintaining trust and satisfaction.

Ultimately, Turbonomic empowers your company to be agile and competitive, swiftly adapting to market changes while managing costs, bolstering your growth and enhancing your reputation as a reliable service provider.

 

Ben.

Ben Lowe, CEO & Founder, Lighthouse

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