BMC announced BMC Discovery, a comprehensive solution for IT discovery and dependency mapping, which is essential for meeting automation requirements, compliance regulations, and improving the ability to respond to security threats.
BMC Discovery builds on BMC Atrium Discovery and Dependence Mapping (ADDM) by delivering the capability to map an application from any related piece of information, giving IT organizations critical visibility to understand how their responsibilities impact the business. With BMC Discovery, IT can link business applications, infrastructure and software in minutes to create an optimized and more agile data center.
Today's enterprise data centers are going through a transformation that focuses on optimizing existing assets while continuing to remain lean, secure, and agile. Using BMC Discovery, IT can optimize storage space, recycle virtual machines, and remove unused hardware and software. To remain secure and compliant, IT benefits from an accurate inventory of its infrastructure, identifying idle or outdated servers that could be back door entry points to threats while also discovering how these threats impact the business. BMC Discovery provides a solid understanding of current applications and how they support the business, which is vital to agile change management. In short, BMC Discovery becomes the backbone of Digital Enterprises.
Start anywhere application mapping, unique to BMC Discovery, allows users to map an application based on any piece of information known about it. This gives critical insight to administrators for network, storage, applications, server, and other IT functions about how their configuration changes affect the business. BMC Discovery becomes a trusted, single source of dependency for all IT lines of business.
"We have hundreds of customers who have been using ADDM for application discovery and dependency mapping, and the new ‘start anywhere' capabilities presented the perfect opportunity to rebrand our solution as BMC Discovery," said Robin Purohit, President, Service Support at BMC. "Our customers are able to more quickly and efficiently understand what assets they have and how those assets link to the business. BMC Discovery and the actionable intelligence gained from it become the foundation of managing the new digital enterprise."
BMC Discovery is a lightweight software appliance that gets monthly content updates. It is easy to deploy, and benefits are immediate through embedded analytics. BMC Discovery offers predictable and transparent pricing, either perpetual or through subscription.
The Latest
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...
As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...
For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...
I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...
Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...