Hello June!

Summer is off to a great start!

A sincere thank you to everyone who attended our IBM Engineering & Software Symposium in Detroit and helped make the event a success through thoughtful conversations, valuable insights, and new connections.

We’re also excited to share that Tahte Perkins will be presenting at the Digital Engineering for Defense Summit in Washington, D.C., June 24–25, with a Tech Talk on “MBSE as the Backbone of Digital Threads”.

Read on for the latest updates in FinOps, AI, systems engineering, and software delivery, along with fresh perspectives from FinOps Universe on cloud financial management and AI spending.

Partner News and Announcements

IBM FinOps

Join 321Gang for Episode 2 of our TBM Series as we sit down with Vineet Sawant, author of The CIO’s Guide to Enterprise FinOps. Discover how Enterprise FinOps can help IT leaders optimize technology spend, unlock operational savings, and fund innovation in the age of AI. Register Now >>>

Kubernetes costs can be hard to allocate accurately. This article compares OpenCost, Kubecost, and Cloudability to highlight key differences in visibility, chargeback, and FinOps strategy. Read More >>>

Explore the latest Cloudability enhancements designed to improve cloud cost visibility, governance, and optimization. Read More >>>

AI is changing how organizations manage cloud costs. See how IBM Cloudability delivers the visibility, governance, and insights needed to optimize cloud and AI investments. Watch Now >>>

IBM Instana has earned the TrustRadius 2026 Top Rated Award (again), reflecting strong customer recognition for its observability and monitoring capabilities across modern IT environments. Read More >>>

SodiusWillert

In his latest video, Andy Lapping demonstrates how to create custom IBM Rhapsody profiles using the SodiusWillert AI Modeling Assistant (SAM). See how AI-powered modeling and built-in MBSE expertise can simplify profile creation, accelerate development, and improve modeling efficiency. Watch Now >>>

Maintaining traceability between requirements and models is critical for successful systems engineering. Explore strategies for closing traceability gaps, improving collaboration, and ensuring greater consistency, visibility, and compliance throughout the development lifecycle. Read More >>>

SysML v2 introduces new capabilities that can change how engineering teams model, collaborate, and manage complexity. Explore the key differences from SysML v1 and what they mean for your organization. Read More >>>

IBM

The 321Gang Adoption Hub helps IBM customers maximize the value of their investments by providing a single destination to explore software, services, training, and expert guidance. Browse by product, role, or industry to discover new capabilities, expand existing solutions, and uncover opportunities that support growth, adoption, and business outcomes. Explore >>>

Automotive embedded systems have long been designed to operate within strict power, memory, and bandwidth constraints. As organizations look to optimize AI workloads and control infrastructure costs, these same principles may hold the key to greater efficiency. Read More >>>

As AI moves into production, governance and traceability are becoming essential. IBM Engineering AI Hub 1.3 provides the foundation for reliable AI automation with trusted lifecycle data and multi-agent orchestration. Join the webinar on June 24 to learn more.
Register Now >>> Take a closer look Here >>>

GitLab

GitLab Orbit extends the GitLab platform by providing AI agents with a unified view of software lifecycle data, including code, pipelines, deployments, and security insights, to improve the accuracy and reliability of AI-assisted development. Read More >>>