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Lacuna Systems Launches Indico APM Solution

Lacuna Systems launched Indico, a new application performance management (APM) solution designed to maximize uptime of critical web applications for ecommerce and other Internet-based businesses.

Indico gives IT departments a clear view of web applications for early detection of performance issues by intelligently analyzing traffic patterns without needing to track the entire traffic load underlying the ecommerce infrastructure.

Because it monitors data that already exists on the application delivery controller (ADC), Indico is easy and cost-effective to deploy, maintain, and use. The solution can be configured in minutes and will automatically grow to meet future needs of any web operations platform.

Indico gathers information using application programming interfaces (APIs), including F5 Networks’ iControl, which collect application performance metrics for local traffic management ADCs.

“With Indico, we’ve pioneered a major leap forward over alternative offerings by providing greater assurances for network managers responsible for web operations uptime,” said Derek Andree, technical director and co-founder of Lacuna Systems. “Indico sends proactive alerts that pinpoint the exact location of a web application operating outside the normal range before an actual outage occurs.”

Indico’s key capabilities include:

· A powerful analytics engine to automatically define a baseline for normal function of every web application which continually analyzes performance data and adjusting thresholds in real-time.

· An easy-to-interpret dashboard to display complete baseline and performance data of all web applications.

· Specific, actionable alerts sent when performance degrades outside defined performance ranges, dramatically reducing time required to resolve an issue.

· A role-based web portal with personalized, executive-ready graphs and charts for various stakeholders within an organization.

“There is a major transformation occurring in IT operations right now: a shift away from monitoring all the bits of data reflecting the infrastructure elements toward specific awareness about overall application performance,” said Jim Frey, Managing Research Director at Enterprise Management Associates. “This requires operations teams to find key application-centric performance indicators across the infrastructure. Lacuna Systems is taking an innovative approach by focusing on developing precisely this type of information - rich, application-specific performance insights generated by application delivery controllers and load balancers.”

To accommodate customers’ specific web operations and monitoring requirements, Lacuna Systems offers three versions: Indico VM, Indico 1000, and Indico 2000.

Indico VM is designed for smaller organizations and runs on VMWare ESX 4.0 and above to maximize ease of deployment.

Indico 1000 is Lacuna Systems fully redundant mid-sized appliance aimed at growing IT organizations.

Indico 2000 is the company’s flagship appliance aimed at large enterprises requiring higher object counts and provides twice the capacity of Indico 1000.

“Today’s networks and web applications generate tremendous amounts of raw performance data. Lacuna Systems’ Indico solution interprets this information in meaningful ways, providing actionable insights into performance without additional instrumentation,” said Calvin Rowland, Vice President of Technology and ISV Alliances at F5 Networks. “That’s good news for mutual F5 Networks and Lacuna Systems customers.”

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Lacuna Systems Launches Indico APM Solution

Lacuna Systems launched Indico, a new application performance management (APM) solution designed to maximize uptime of critical web applications for ecommerce and other Internet-based businesses.

Indico gives IT departments a clear view of web applications for early detection of performance issues by intelligently analyzing traffic patterns without needing to track the entire traffic load underlying the ecommerce infrastructure.

Because it monitors data that already exists on the application delivery controller (ADC), Indico is easy and cost-effective to deploy, maintain, and use. The solution can be configured in minutes and will automatically grow to meet future needs of any web operations platform.

Indico gathers information using application programming interfaces (APIs), including F5 Networks’ iControl, which collect application performance metrics for local traffic management ADCs.

“With Indico, we’ve pioneered a major leap forward over alternative offerings by providing greater assurances for network managers responsible for web operations uptime,” said Derek Andree, technical director and co-founder of Lacuna Systems. “Indico sends proactive alerts that pinpoint the exact location of a web application operating outside the normal range before an actual outage occurs.”

Indico’s key capabilities include:

· A powerful analytics engine to automatically define a baseline for normal function of every web application which continually analyzes performance data and adjusting thresholds in real-time.

· An easy-to-interpret dashboard to display complete baseline and performance data of all web applications.

· Specific, actionable alerts sent when performance degrades outside defined performance ranges, dramatically reducing time required to resolve an issue.

· A role-based web portal with personalized, executive-ready graphs and charts for various stakeholders within an organization.

“There is a major transformation occurring in IT operations right now: a shift away from monitoring all the bits of data reflecting the infrastructure elements toward specific awareness about overall application performance,” said Jim Frey, Managing Research Director at Enterprise Management Associates. “This requires operations teams to find key application-centric performance indicators across the infrastructure. Lacuna Systems is taking an innovative approach by focusing on developing precisely this type of information - rich, application-specific performance insights generated by application delivery controllers and load balancers.”

To accommodate customers’ specific web operations and monitoring requirements, Lacuna Systems offers three versions: Indico VM, Indico 1000, and Indico 2000.

Indico VM is designed for smaller organizations and runs on VMWare ESX 4.0 and above to maximize ease of deployment.

Indico 1000 is Lacuna Systems fully redundant mid-sized appliance aimed at growing IT organizations.

Indico 2000 is the company’s flagship appliance aimed at large enterprises requiring higher object counts and provides twice the capacity of Indico 1000.

“Today’s networks and web applications generate tremendous amounts of raw performance data. Lacuna Systems’ Indico solution interprets this information in meaningful ways, providing actionable insights into performance without additional instrumentation,” said Calvin Rowland, Vice President of Technology and ISV Alliances at F5 Networks. “That’s good news for mutual F5 Networks and Lacuna Systems customers.”

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Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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