
ScienceLogic announced complete monitoring, dependency mapping, and visualization for Cisco’s Application Centric Infrastructure (ACI) fabric.
As the market leader in the software-defined networking (SDN) space, Cisco’s ACI plays a pivotal role in helping companies simplify, optimize, and accelerate the entire application deployment lifecycle. ScienceLogic’s ACI support, developed in collaboration with Cisco, allows companies to gain complete health and performance visibility into their SDN infrastructure.
ScienceLogic’s ACI support allows companies to remove key application deployment roadblocks by enabling IT staff to proactively fix application performance issues and:
- Determine the root cause of a service issue – network, storage or compute
- Easily spot overused interfaces and major network trouble spots
- View the big picture by revealing how ACI is interacting with the entire environment
“Cisco welcomes ScienceLogic to the Cisco ACI ecosystem and we appreciate the collaborative effort that promises to bring value and benefits to our joint customers,” said Harry Petty, Director of Market Management for Data Center and Cloud, Cisco. “Cisco ACI enables data center agility and automation, and with the added IT monitoring capabilities from ScienceLogic, IT professionals will find it much easier to identify, scope, and remediate performance issues, while also gaining a single view of diverse IT environments.”
ScienceLogic’s ACI monitoring features include:
- Comprehensive, automatic discovery – ensuring full asset tracking for the elements making up an ACI system
- Automatic cross-technology dependency mapping- providing quick root cause detection and proactive troubleshooting
- Real-time dashboards – describing complex metrics in simple, easy to understand visuals
- Automatic best practices monitoring templates available out-of-the-box, readying organizations for a successful launch of the Cisco ACI deployment
- A single, combined view of Cisco ACI and Legacy infrastructure – dramatically reducing the complexity of managing a diverse IT environment
“SDN is projected to be a $35B market and Cisco’s ACI toolset is a superb product,” said Dave Link, Founder and CEO, ScienceLogic. “We’ve worked closely with Cisco for many years and adding our IT monitoring capabilities to ACI makes sense for customers and is a natural fit.”
The Latest
While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...
Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...
For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...