Flexential has launched two professional services designed to help enterprises reduce and optimize public cloud spending and strengthen security across their hybrid IT environments.
The FinOps for Public Cloud service draws on Flexential's extensive DevOps experience and deep understanding of cloud architectures to help organizations reduce cloud spending by analyzing, proposing, and implementing cost reductions and cost management controls. In addition, the Security and Optimization Program, available to customers moving into Flexential colocation and cloud environments, enhances cyber resiliency by uncovering security gaps, mitigating migration risks, and streamlining resource allocation.
"Companies are grappling with rising cloud costs and cybersecurity risks while struggling to maintain the technical expertise needed to address these challenges," said Brian Gero, SVP, Core and Strategic Engineering at Flexential. "Our services deliver immediate value by giving businesses the expertise to slash unnecessary spending and fortify security without stretching their internal resources. By collaborating directly with our Flexential experienced professionals, your technical teams will be in position to implement impactful, lasting solutions to these challenges."
The FinOps for Public Cloud service enables companies to control public cloud spending through a systematic approach to cost management. Organizations work directly with Flexential's cloud engineers to understand public cloud costs, analyze spending patterns, and implement targeted controls. Flexential then creates cross-functional alignment for cost governance to provide clear visibility into cloud expenses and enable accurate forecasting across the hybrid IT infrastructure.
The Security and Optimization Program strengthens an organization's security posture and cyber resiliency. Flexential's proven track record in security and infrastructure, and unique field-tested processes provide low-risk, low-downtime migrations. The service provides customer teams with a detailed analysis of cybersecurity gaps and resource allocations, with specific recommendations for security improvements, ransomware defenses, compute optimization, workload resources, and future modernizations.
The Latest
Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...
One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...
As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...
Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...
The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...
Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...
Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to third party services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...
If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...
Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...