Tracking Capacity Under COVID-19
Notice: This blog post was originally published on Indeni before its acquisition by BlueCat.
The content reflects the expertise and perspectives of the Indeni team at the time of writing. While some references may be outdated, the insights remain valuable. For the latest updates and solutions, explore the rest of our blog
Indeni users are reporting an unprecedented load on firewalls and load balancers from increased internet usage during the global COVID-19 response. Networks designed and optimized primarily for internal and North-South traffic are experiencing heavy loads due to remote VPN access and traffic tromboning as employees work from home and replace in-person meetings with teleconferencing. In response to customer requests, we have fast-tracked an out-of-cycle release for a new feature to help our users anticipate and avoid performance issues associated with responses to the COVID-19 crisis.
There are many companies that have stepped up to reduce the IT burden, and Indeni is pleased to contribute to this effort. For the foreseeable future, we are extending the demo license for our visibility automation solution to 90 days and raising the device limit to assure sufficient coverage of affected security infrastructure. Our VM-based solution can be installed and provide missing visibility in less than 30 minutes, without requiring any assistance (or interference) from us to set up.
The last few months have strained our infrastructure, both physical and virtual, as COVID-19 has made ripples throughout the world, and we recognize that the impact will continue. Some organizations, especially those providing health services, are even more sensitive than normal to any possible glitch.
For example, Indeni customers in the health care space are offering video visits to minimize patient exposure and prevent the spread of the illnesses, but the extra network traffic can potentially stress their firewalls and load balancers, especially if they attempt to analyze video the same way they would normal web browsing. To ensure maximum reliability, Indeni continuously assesses device health by comparing expectations of device capacity against current load. The ability to proactively alert administrators of capacity limits is key to keeping these devices up and running during times of crisis.
Indeni’s new capability is the ability to track utilization against automatically-learned security device limits. Indeni is capable of collecting high-resolution data on the exact utilization of connections, VPN tunnels, TLS inspection, and more, and comparing it to the inherent or dynamic limits set within the firewalls, load balancers, and content inspection appliances. This will help network and security engineers identify newly emerging performance issues before anyone is impacted.
This new feature expands on Indeni’s existing feature to track VPN user count versus license limits, which was added in response to urgent customer needs during the polar vortex in January 2019. Indeni is proud to maintain our history of supporting IT during times of humanitarian crisis.
Existing customers can upgrade to version 7.1.5 which includes this capability. Those who are not currently using Indeni, but would benefit from this capability, can download Indeni from our website or reach out directly to us at [email protected]. We promise to find a way to give access to this capability even to those organizations that cannot currently purchase our software. Whatever we can do to help.
With all the trouble this virus is causing, it seems we are witnessing a rare case where communities and nations who are normally at odds are cooperating together for humanity’s sake. We’re happy to be able to make this small contribution to humanity’s stand against COVID-19.
Indeni released an out-of-cycle feature in response to unprecedented firewall and load balancer load caused by increased remote VPN and teleconferencing traffic during the COVID-19 response, addressing networks designed for internal North–South traffic that are now experiencing tromboning and capacity stress. The VM-based visibility automation solution installs in under 30 minutes and now tracks utilization against automatically learned security device limits—collecting high-resolution data on connections, VPN tunnels, TLS inspection, and more—to proactively alert administrators before devices hit capacity. Indeni is extending demo licenses to 90 days and raising device limits for broader coverage, enabling healthcare and other sensitive organizations to better anticipate and avoid performance issues during the crisis and offering access even to organizations that cannot currently purchase the software.
What specific problem is Indeni addressing with the new out-of-cycle release?
Indeni is addressing unprecedented loads on firewalls and load balancers resulting from increased internet usage during the COVID-19 response—specifically the surge in remote VPN access and teleconferencing that causes traffic tromboning and stresses devices designed primarily for internal, North–South traffic. The new capability allows Indeni to collect high-resolution utilization data (connections, VPN tunnels, TLS inspection, etc.) and compare that data to device capacity limits, whether inherent or dynamic, so administrators can be proactively alerted before devices reach capacity and suffer performance degradation.
How quickly can organizations deploy Indeni’s updated visibility automation solution and what does the demo extension include?
Indeni’s VM-based visibility automation solution can be installed and provide missing visibility in less than 30 minutes without requiring assistance from Indeni to set up. In response to customer requests during the COVID-19 crisis, Indeni is extending the demo license period to 90 days and raising the device limit to ensure sufficient coverage of affected security infrastructure, enabling organizations to evaluate and use the new utilization-tracking capability across more devices during the pandemic.
What capability does the new feature add to Indeni and how does it help healthcare organizations?
The new feature adds the ability to track utilization against automatically learned security device limits by collecting detailed, high-resolution metrics on connection counts, VPN tunnels, TLS inspection, and other resource uses and comparing them to device capacity expectations. For healthcare organizations offering video visits and other bandwidth-intensive services, this capability helps identify emerging performance issues—such as overloads on firewalls or load balancers—before patients or clinicians are impacted, thereby supporting maximum reliability for sensitive services during the COVID-19 crisis.