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AppNeta Launches BGP Monitoring for Multi-Path Route Visualization

AppNeta launched BGP monitoring for Multi-Path Route Visualization as a core feature within the AppNeta Performance Manager.

AppNeta’s Route Visualization combines BGP Autonomous System data with hop-by-hop details to rapidly identify ISPs and transit carriers. This empowers IT with the detailed, end-to-end visibility across their network delivery paths they need to identify the root cause of performance degradations across the globe.

AppNeta Performance Manager has always allowed customers to see the hops along network paths between users and business-critical SaaS or web apps. BGP data gives more context around what networks those hops actually belong to. Routes can be observed with ISP aggregation to show peering and handoffs between ISPs and network owners, allowing IT to more quickly identify the ownership of a degraded hop.

BGP Monitoring tracks the Layer 3 hops and Autonomous System networks that are traversed between end users and business-critical applications, helping enterprise IT visualize dynamic network environments and isolate commonalities between specific apps, locations, or even large regions. AppNeta’s powerful search capability allows instant comparison of routing across many locations and multiple applications so IT can quickly isolate what apps are affected and what routers and networks they have in common.

BGP information is automatically collected and applied to the route visualization data already being collected by AppNeta Performance Manager. When users log into the platform and select specific paths from the Delivery Network Path page they can see the routes their apps are taking with BGP context from source to destination.

All of this helps enterprise IT and network operations teams identify:

- Which carriers are delivering applications end-to-end, and are carrier changes affecting user experience?

- Is SD-WAN traffic performing better with one carrier versus another?

- Are routes changing during an incident?

- Is there any routing in common between apps or remote offices experiencing problems in multiple locations?

“AppNeta’s automatic ISP identification has been a hallmark of our platform for years, but our enterprise customers require knowledge about detailed link ownership and the associated multi-protocol routing characteristics beyond just the last mile,” said Matt Stevens, CEO of AppNeta. “Through continuous BGP metadata enrichment, our new Multi-path Visualization empowers customers to instantly understand the big routing picture across their end-to-end WAN and, most importantly, the how, when, and where of WAN performance as it impacts the remote office end user experience.”

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AppNeta Launches BGP Monitoring for Multi-Path Route Visualization

AppNeta launched BGP monitoring for Multi-Path Route Visualization as a core feature within the AppNeta Performance Manager.

AppNeta’s Route Visualization combines BGP Autonomous System data with hop-by-hop details to rapidly identify ISPs and transit carriers. This empowers IT with the detailed, end-to-end visibility across their network delivery paths they need to identify the root cause of performance degradations across the globe.

AppNeta Performance Manager has always allowed customers to see the hops along network paths between users and business-critical SaaS or web apps. BGP data gives more context around what networks those hops actually belong to. Routes can be observed with ISP aggregation to show peering and handoffs between ISPs and network owners, allowing IT to more quickly identify the ownership of a degraded hop.

BGP Monitoring tracks the Layer 3 hops and Autonomous System networks that are traversed between end users and business-critical applications, helping enterprise IT visualize dynamic network environments and isolate commonalities between specific apps, locations, or even large regions. AppNeta’s powerful search capability allows instant comparison of routing across many locations and multiple applications so IT can quickly isolate what apps are affected and what routers and networks they have in common.

BGP information is automatically collected and applied to the route visualization data already being collected by AppNeta Performance Manager. When users log into the platform and select specific paths from the Delivery Network Path page they can see the routes their apps are taking with BGP context from source to destination.

All of this helps enterprise IT and network operations teams identify:

- Which carriers are delivering applications end-to-end, and are carrier changes affecting user experience?

- Is SD-WAN traffic performing better with one carrier versus another?

- Are routes changing during an incident?

- Is there any routing in common between apps or remote offices experiencing problems in multiple locations?

“AppNeta’s automatic ISP identification has been a hallmark of our platform for years, but our enterprise customers require knowledge about detailed link ownership and the associated multi-protocol routing characteristics beyond just the last mile,” said Matt Stevens, CEO of AppNeta. “Through continuous BGP metadata enrichment, our new Multi-path Visualization empowers customers to instantly understand the big routing picture across their end-to-end WAN and, most importantly, the how, when, and where of WAN performance as it impacts the remote office end user experience.”

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Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...

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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 ...