Real-Time Data Replication, Quantum Safe Assessment Service, and More

Precisely Accelerates Mainframe Modernization with Real-Time Data Replication to Amazon S3

Precisely has expanded its collaboration with AWS by adding real-time, direct mainframe-to-Amazon S3 replication in Precisely Connect. This update removes the need for intermediaries, simplifying modernization and supporting analytics and AI initiatives on AWS. It will streamline data movement from legacy systems to cloud-native architectures, helping organizations deliver critical data to AWS platforms more quickly, reliably, and with assured integrity.

“Enterprises around the world continue to rely on Precisely to bridge the gap between their legacy mainframe systems and modern cloud environments,” said Marianne Roling, SVP, Global Alliances and Channel Sales, Precisely. “This expanded collaboration with AWS demonstrates our shared commitment to simplifying modernization and helping customers make trusted data available for analytics, machine learning, and AI at scale.”

By eliminating extra data-handling steps, Precisely Connect reduces latency and maintenance burdens, enabling IT teams to focus on delivering business value through insights and innovation. The streamlined approach also positions customers to capitalize on the agility and scalability of AWS services for their AI-driven transformation initiatives.

Key benefits

• Streamlined modernization: Seamlessly move mainframe data directly to Amazon S3 data lakes and analytics platforms.
• Speed and efficiency: Eliminate intermediary steps for faster, more reliable replication.
• Simplicity: Reduce maintenance overhead and integration complexity.
• AI and analytics readiness: Empower downstream AWS workloads, including analytics, AI, and machine learning.

This announcement builds upon Precisely’s long-standing commitment to helping enterprises achieve data integrity across hybrid and multi-cloud environments.

Source: Precisely

Kyndryl Unveils Quantum Safe Assessment Service to Enable Enterprise Readiness for the Quantum Era

Kyndryl has unveiled Kyndryl’s Quantum Safe Assessment service to help enterprises prepare for the emerging opportunities and security threats posed by quantum computing. The new service identifies and analyzes cryptographic risk exposure across an organization’s entire IT estate, creating a customized transformation roadmap to transition to quantum-safe security through post-quantum cryptography (PQC). This supports long-term data protection and regulatory requirements.

“Quantum computing security readiness is no longer a future concern — it is a strategic imperative,” said Kris Lovejoy, Global Security & Resiliency Leader, Kyndryl. “Through our Quantum Safe Assessment service, we help customers identify vulnerabilities and build scalable strategies for quantum-safe security so they can operate confidently in the post-quantum era.”

Key features and capabilities of the service include:

• Encryption discovery: Identifies all encryption methods currently protecting services, applications, systems, networks and data layers across the enterprise by creating a Cryptographic Bill of Materials (CBOM) to understand where and how encryption is applied.
• Risk-based classification: Evaluates which business services are most critical for protection and most vulnerable to quantum attacks based on data sensitivity and business impact.
• Transformation roadmap: Develops a phased plan to transition to new quantum-resistant encryption standards and, ultimately, to full crypto agility.
• Zero Trust integration: Integrates quantum readiness with Kyndryl’s Zero Trust Adoption Framework to strengthen secure identity, endpoint, network and data protection.

Despite the quantum-safe urgency, there is a significant awareness gap among customers. The 2025 Kyndryl Readiness Report found that only four percent of leaders believe quantum will be the technology with the greatest impact on their businesses in the next three years, underscoring the need for proactive preparation.

Source: Kyndryl

IBM Turbonomic and IBM Kubecost unite to optimize Kubernetes performance and cost

As enterprises scale Kubernetes, balancing performance and cost is increasingly important. IBM is addressing this with a Public Preview of Kubecost integration in IBM Turbonomic, adding FinOps insight to its existing automated resource management. By ingesting cost data from Kubecost Free or OpenCost, Turbonomic now pairs its optimization recommendations with clear estimates of savings and investment, giving users direct visibility into the financial impact of workload rightsizing.

How IBM Kubecost works

In this Public Preview, the integration focuses on one of the most impactful use cases: workload rightsizing.

Turbonomic continuously analyzes CPU and memory requests and limits across Kubernetes and Red Hat OpenShift environments. With cost data from Kubecost Free or OpenCost, Turbonomic now displays Cost Impact metrics, including:

• Current vs. predicted costs for each optimization action
• Estimated savings or investment from implementing resource changes
• Visibility into financial outcomes before execution
• This brings unprecedented transparency to automated optimization, helping teams make smarter, data-driven decisions.

Why this matters

By unifying cost data with automated resource actions, this integration strengthens how teams manage performance and spend, as reflected in the following capabilities:

• Unified FinOps and automation: Combine Turbonomic’s AI/ML-driven automation with IBM Kubecost’s granular cost visibility to improve both performance and efficiency.
• Real-time cost insights: Instantly understand the financial impact of resource actions. No spreadsheets or guesswork required.
• Collaboration across teams: Enable engineering, operations, and finance teams to speak the same language around cost and performance.
• Shift-left, proactive optimization: Enable proactive, shift-left cost optimization and support a culture of engineering accountability and cost-efficiency.
• Another milestone in IBM’s FinOps strategy
• This Kubecost integration marks another milestone in IBM’s end-to-end FinOps strategy, following IBM’s acquisitions of Turbonomic, Apptio and Kubecost. Together, these solutions deliver a comprehensive approach to cloud cost optimization, spanning visibility, planning and automation.

Future iterations will expand beyond rightsizing to cover additional optimization scenarios and deeper Kubecost Enterprise integration by further aligning FinOps intelligence with Turbonomic automation.

Source: IBM