Qosmos announced L7Viewer – a traffic analysis tool that provides complete visibility of all network traffic that crosses a virtual infrastructure, up to Layer 7.
Today’s virtualized IT infrastructure with dynamic, distributed resources and increasing inter-dependencies is becoming highly complex to manage. A lack of visibility is often cited as the main challenge by IT staff for the safe and efficient management of their virtualized infrastructure and networking. Thanks to a new level of traffic visibility, L7Viewer facilitates and accelerates common but tedious IT tasks such as VM migration, application upgrades, and root-cause identification for network and application performance issues.
L7Viewer provides a complete Layer 2-7 view of all inter-VM traffic in the data center and between any VM and the external environment. By mapping all network traffic, it delivers full visibility of data flows and types, displaying the information in a way that provides an immediate understanding of network activity at any given time.
Features of L7Viewer:
- Most detailed visibility in the industry (2700+ protocols, from Layer 2 to 7)
- View over traffic from both known (sanctioned) and unknown (e.g. Shadow IT) applications
- Covers inter-VM traffic as well as traffic between any VM and external environment
- Ability to filter per hypervisor, VM, IP, host, port, protocol, application
- Dashboards for specific use cases
“L7Viewer is powered by Qosmos ixEngine, which is the de facto industry-standard for IP classification software”, said Thibaut Bechetoille, Qosmos CEO. “Our new traffic analysis tool leverages more than 10 years’ experience in Deep Packet Inspection and provides visibility for 2700+ protocols and applications, which is ten times more than any comparable product. This is what makes L7Viewer more precise, more effective and more reliable than any other traffic analysis solution for virtual infrastructures today.”
The Latest
Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...
As businesses and individuals increasingly seek to leverage artificial intelligence (AI), the cloud has become a critical enabler of AI's transformative power. Cloud platforms allow organizations to seamlessly scale their AI capabilities, hosting complex machine learning (ML) models while providing the flexibility needed to meet evolving business needs ... However, the promise of AI in the cloud brings significant challenges ...
The business case for digital employee experience (DEX) is clear: more than half (55%) of office workers say negative experiences with workplace technology impact their mood/morale and 93% of security professionals say prioritizing DEX has a positive impact on an organization's cybersecurity efforts, according to the 2024 Digital Employee Experience Report: A CIO Call to Action, a new report from Ivanti ...
For IT leaders, a few hurdles stand in the way of AI success. They include concerns over data quality, security and the ability to implement projects. Understanding and addressing these concerns can give organizations a realistic view of where they stand in implementing AI — and balance out a certain level of overconfidence many organizations seem to have — to enable them to make the most of the technology's potential ...
For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems? ...
The OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice ... Regardless of experience level, there's a clear need for more support and continued education ...
A silo is, by definition, an isolated component of an organization that doesn't interact with those around it in any meaningful way. This is the antithesis of collaboration, but its effects are even more insidious than the shutting down of effective conversation ...
New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries ... Here are 8 key takeaways from the report ...
For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution ... But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones ...
The edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
