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ScienceLogic Rolls Out Advanced Visibility for Cisco ACI

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.”

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ScienceLogic Rolls Out Advanced Visibility for Cisco ACI

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.”

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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