Infrastructure Software Watch · October 7, 2026
Migration agents, AI operations platforms, Kubernetes-native network functions, and a $2 billion-plus Gigamon sale show where control of the infrastructure software layer is being decided.
Core Research Question
Which software layer is taking control of modern infrastructure as AI reshapes cloud, operations and data centers, and who is paying to own it?
1. What Infrastructure Software Watch Tracks
Infrastructure Software Watch follows the software that operates, manages, secures, automates, and optimizes the infrastructure underneath enterprise applications, cloud, AI, and data centers. Where Networking Watch follows the connectivity layer, this series follows the software controlling it: cloud and Kubernetes platforms, automation and platform engineering, observability and AIOps, infrastructure security, data infrastructure, AI infrastructure software, application delivery, and the vendors and deals that shape them.
Each story below follows one structure: what happened, the technology, companies to watch, market context, why it matters, and what to watch. Two themes recur in this first edition. Observability and operations vendors are converging on "trusted context" for AI agents, and infrastructure software is attracting large private-equity and strategic capital.
The CODEW angle: The software control layer is where AI infrastructure gets managed, secured, and monetized, and where much of the next round of consolidation will happen.
2. Google Cloud Modernize Bundles Migration With Agentic AI
What happened. On October 5, Google Cloud announced Google Cloud Modernize, an end-to-end transformation portfolio that combines Migration Center, Google Cloud VMware Engine, Mainframe Modernization, and a new EKS-to-GKE Migration Agent (public preview). Modernization Hub, a new in-console experience, lets teams analyze source code, map dependencies, and plan modernization for Java, .NET, and mainframe applications.
The technology. An Agentic Quick Estimator (generally available) turns VMware inventory exports into total-cost-of-ownership projections, with a chat interface for testing assumptions. New compute options are generally available for SAP S/4HANA (single-node memory up to 43 TiB) and core-licensed databases, where Google says its M4N series can cut licensing costs by more than 20%, a vendor claim. A self-managed VMware option runs VMware Cloud Foundation 9.1 on bare metal, and the EKS-to-GKE agent automates manifest translation, storage and network mapping with human approval gates.
Companies to watch. AWS (EKS), Broadcom/VMware, Microsoft Azure, IBM and Red Hat, and delivery partners such as Cognizant, which Google cites. NetEase Games is the featured customer, claiming 40% lower server costs.
Market context. Google is bundling migration tooling with agents to shorten multi-year roadmaps, and explicitly targeting competitors' Kubernetes and VMware estates.
Why it matters: Migration and modernization are becoming an AI-assisted, software-led sales motion rather than a services project, and cross-cloud Kubernetes migration is now a product category.
What to watch: Hands-on results from the EKS-to-GKE preview, and the November 17 webinar demos.
3. New Relic Builds Its AI Operations Story on "Trusted Context"
What happened. At its New Relic Now event, with a recap from Chief Product Officer Brian Emerson on October 6, New Relic organized its roadmap around three pillars: AI Observability, Autonomous Operations, and Platform Engineering, all running on a shared foundation of connected operational context.
The technology. AI Observability adds AI Coding Observability, AI Evaluation on live traffic, AI Agent Monitoring, and OpenTelemetry GenAI support. Autonomous Operations includes Ground Truth, which brings telemetry, changes, dependencies, and ownership into the terminal, plus Autopilot, which investigates issues and recommends where to look next, with people approving action. Platform Engineering adds Service Architecture Intelligence, an internal developer platform New Relic says is included at no extra cost, and Infrastructure 360 for cloud asset discovery and dependency mapping across Kubernetes, load balancers and gateways.
Companies to watch. Datadog, Dynatrace, ServiceNow, Splunk (Cisco) and Elastic, all pursuing agentic operations and AI observability.
Market context. The launch ties together three trends: AI-generated code increasing operational complexity, observability vendors moving into developer portals, and incident response shifting from alerts to evidence-based investigation.
Why it matters: Observability is turning into the context layer for AI operations, which is also where platform engineering, CMDB-style inventories, and incident management are converging.
What to watch: Which capabilities are generally available versus preview, and how competitors price AI telemetry.
4. Cisco Extends Its Secure AI Factory With Supermicro Compute
What happened. Cisco announced on August 25 that it is expanding the Secure AI Factory with NVIDIA through a partnership with Supermicro, adding rack-scale and liquid-cooled GPU systems. This is not a new announcement, but Cisco says it begins offering the Supermicro compute in October 2026, so this month is when the offer becomes real.
The technology. The stack includes an NVIDIA Cloud Partner-compliant reference architecture for neocloud and sovereign cloud customers, Cisco Silicon One and Spectrum-X-based switches unified by Nexus One, and NVIDIA AI Enterprise software with AgenticOps through Cisco Cloud Control. Cisco says operators can correlate job health with compute, NIC, optics and network metrics for end-to-end observability, and that it is the only NVIDIA partner using its own switches and network operating system in an NCP-compliant solution, a company claim.
Companies to watch. NVIDIA, Supermicro, Dell, HPE, Arista and resellers such as WWT, ePlus and NTT DATA.
Market context. Neoclouds and sovereign buyers want validated, deployable AI factories, and the control plane that correlates GPU jobs with network health is the software differentiator.
Why it matters: AI infrastructure software is where hardware vendors try to keep margin and lock-in: orchestration, validation services, and observability across compute and fabric.
What to watch: Early NCP deployments, and whether Cisco Cloud Control becomes the common operations layer across Supermicro-based systems.
5. F5 Moves Network Functions Into Kubernetes With eBPF Visibility
What happened. On October 7, F5 announced enhanced BIG-IP Cloud-Native Network Functions and new BIG-IP eBPF Observability for service providers moving critical network services from virtual machines to Kubernetes. They are available now under BIG-IP Cloud-Native Edition.
The technology. The cloud-native functions cover DNS, CGNAT, network security, subscriber-aware policy, and Layer 4 to 7 traffic management, including protocols such as SCTP, GTP, and Diameter. BIG-IP Next for Kubernetes works at the Kubernetes network layer, and eBPF Observability gives kernel-level application and network telemetry without per-application instrumentation. In a Tolly Group test published by F5, DNS handled 1.9 times more queries per second with 91.5% less CPU than a virtualized deployment, and CGNAT delivered comparable throughput with 79.7% less CPU and 98.5% less memory.
Companies to watch. Cisco, Nokia, Ericsson, Red Hat OpenShift, A10 Networks, Isovalent and the eBPF observability ecosystem.
Market context. Service providers are modernizing 5G core and edge functions while taking on AI workloads, and eBPF is becoming the standard way to see across Kubernetes.
Why it matters: This is infrastructure software moving into carrier-grade, Kubernetes-native environments, with efficiency claims that, if reproduced, change the density economics of virtualized network functions.
What to watch: Operator adoption beyond the vendor-published benchmark, and eBPF competition.
6. Gigamon: A $2 Billion-Plus Sale of Network Visibility Software
What happened. Reuters reported on October 7 that Elliott Investment Management and Siris are exploring a sale of Gigamon that could value it at more than $2 billion. Bank of America and Perella Weinberg are advising, and the process is early. Sources put Gigamon at more than $400 million in annual recurring revenue and about $170 million in EBITDA. Elliott took it private in 2017 at about $1.6 billion, and Siris bought a minority stake in 2024.
The technology. Gigamon's deep observability pipeline delivers network-derived intelligence, such as packets, flows, and metadata, to security, cloud, and observability tools, including encrypted and east-west traffic that agents miss. A 650 Group study put it at 51% of a deep observability market projected to reach nearly $2.1 billion by 2030, though that is a narrow category definition.
Companies to watch. Likely private-equity and strategic buyers in network monitoring, cybersecurity and cloud management, plus competitors Arista, Keysight, NETSCOUT, Kentik and Cisco's Splunk-and-ThousandEyes ecosystem.
Market context. By our arithmetic, $2 billion implies roughly 5 times ARR and 12 times EBITDA, the type of valuation investors attach to infrastructure software underpinning cloud, security and AI.
Why it matters: Gigamon sits where network visibility, cybersecurity and cloud infrastructure meet, and a sale would be a read on how much buyers pay for data feeds that AI-era security tools depend on.
What to watch: Bidder identities, the final valuation, and whether a strategic buyer outbids private equity.
7. Schneider Electric Agrees to Buy PTC for $22.6 Billion
What happened. Schneider Electric agreed to acquire PTC in an all-cash deal at $205 per share, a 42.3% premium, valuing it at about $22.6 billion. It is financed with roughly 5 to 6 billion euros of new equity and 16 to 17 billion euros of new debt, and is expected to close by the third quarter of 2027. It follows Schneider's $3.1 billion agreement in June to acquire industrial-AI data platform Cognite.
The technology. PTC's engineering and product-lifecycle software (Windchill, Creo, Onshape) gives Schneider's AVEVA subsidiary direct access to product design data, extending its reach from factory-floor automation to product engineering.
Companies to watch. Siemens, Dassault Systèmes, Autodesk, Rockwell, Hexagon and AVEVA, all competing for the industrial software and digital-twin layer.
Market context. Large industrial and infrastructure companies are buying software to control the data upstream of their automation and AI ambitions.
Why it matters: Industrial software is now a strategic asset for infrastructure companies, and this is the kind of platform consolidation the series will track alongside pure-play infrastructure software.
What to watch: Regulatory review, integration with AVEVA and Cognite, and responses from Siemens or Dassault.
8. The Infrastructure Software Coverage Map
The series covers ten pillars. This edition touches most of them:
| Cloud infrastructure software | Google Cloud Modernize, EKS-to-GKE agent, VMware on Google Cloud. |
| Automation and DevOps | New Relic Service Architecture Intelligence (platform engineering). |
| Observability and AIOps | New Relic Autopilot and Ground Truth; F5 eBPF Observability. |
| Infrastructure security | Gigamon network visibility for security tools (pillar overlap). |
| Data infrastructure | Covered in Storage & Data Management Watch; not featured today. |
| AI infrastructure software | Cisco Secure AI Factory, AgenticOps, New Relic AI Observability. |
| Network and application infrastructure | F5 BIG-IP Cloud-Native Edition, eBPF. |
| Enterprise infrastructure platforms | Google, Cisco, F5, New Relic, Schneider/AVEVA. |
| Infrastructure software M&A | Gigamon sale process; Schneider-PTC $22.6B. |
| Startups | No featured startups in this edition; to be added as the series develops. |
The CODEW angle: Context for AI agents, whether operational, data, or network-derived, is the unifying thread. Whoever owns it controls how infrastructure is observed and automated.
The CODEW Angle
Infrastructure Software Watch tracks the software infrastructure layer powering cloud, AI, enterprise applications, and modern data centers.
This week shows three simultaneous shifts: migration tools becoming agentic, observability vendors rebranding as context layers for AI operations, and private capital pricing infrastructure software at premium multiples. Hardware vendors such as Cisco are trying to anchor the same layer from below.
The next editions will follow the same structure and add startups, funding rounds, and the platform vendors named in the series charter.
Sources
→ Google Cloud Blog: Introducing Google Cloud Modernize
→ New Relic: New Relic Now October 2026 round-up
→ Cisco: Expands Secure AI Factory with NVIDIA for the Rack-Scale Era
→ F5: Helps service providers modernize critical network services
→ Reuters via KSL: Elliott and Siris explore $2 billion-plus Gigamon sale
→ SecurityBrief: Gigamon takes 51 per cent of deep observability market
→ Reuters via The Star: Schneider Electric confirms $22.6B deal to buy PTC
→ Bloomberg: Schneider expands AI drive with record $22.6 billion acquisition
The CODEW Stat
$2B+ Gigamon sale talks · $22.6B Schneider-PTC · ~5x ARR implied for Gigamon · 6 stories, 10 pillars
Gigamon multiples are CODEW arithmetic from reported ARR and EBITDA and an early, unconfirmed valuation range.
Editorial Note
Infrastructure Software Watch is the fast-moving intelligence layer tracking the software that operates, manages, secures, automates and optimizes cloud, AI and data-center infrastructure. It is distinct from Networking Watch, which follows the connectivity layer, and from Cloud Watch, Cybersecurity Watch and Technology M&A Watch.
This edition draws on company announcements, Reuters, Bloomberg and industry research as of October 7, 2026. Educational content only. Not investment advice. The Gigamon sale is based on anonymous-source reporting and may not result in a transaction. Performance and cost claims, including F5 and Google figures, are vendor-published and have not been independently verified by The CODEW. Schneider-PTC terms are as announced and subject to closing conditions.
Reviewed by Erwin Castro
on
Thursday, October 08, 2026
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