BMC Software has joined the SAP® PartnerEdge® program as a Build partner, helping customers accelerate their digital transformations and ensure critical SAP business processes run reliably at scale, end‑to‑end, and across hybrid and cloud environments.
Additionally, the Control‑M solution from BMC is now available in the SAP Store, with SAP certification demonstrating that BMC consistently meets SAP’s rigorous testing and interoperability standards, giving businesses confidence in the long‑term platform compatibility.
Control-M helps businesses using SAP solutions coordinate, monitor, and resolve issues across business processes running on S/4HANA, RISE with SAP, the SAP Business Technology Platform (SAP BTP), cloud platforms, and external applications. By providing centralized visibility and SLA management, Control-M helps reduce operational risk and complexity for customers modernizing their SAP environments.
Control-M provides unified orchestration and monitoring of business-critical workflows across SAP and third-party systems with a single platform. Customers can benefit from improved operational reliability, reduced manual effort, and simplified management of hybrid and multi‑cloud operations, ensuring business outcomes are delivered on time.
As enterprises increasingly run workloads based on SAP solutions alongside cloud applications, data pipelines, and third-party systems, achieving full visibility and control becomes critical. Control‑M connects these environments, transforming disconnected jobs into reliable, end-to-end business processes.
Available in the SAP Store, Control‑M and Control-M SaaS make it easier for businesses using SAP solutions to discover, procure, and deploy enterprise‑grade workflow orchestration for SAP landscapes.
BMC has a long-standing relationship with SAP beyond its participation in the SAP® PartnerEdge® program, including SAP-certified integrations, joint customer engagements, and ongoing collaboration across SAP BTP and RISE with SAP environments.
“SAP is increasingly becoming a cornerstone within a much broader ecosystem that includes agents, multi-cloud services and hybrid environments," said Brian Jones, Global VP Strategic Partnerships, BMC. “What sets Control-M apart is its ability to provide a universal orchestration layer that helps enable SAP customers to reliably run business processes across SAP and third-party environments, allowing them to maintain continuity and reduce disruption while protecting their SAP investments.”
The Latest
For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...
Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...
Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...
Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...
I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...
The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...
For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...
The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...
44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...
Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...