
Kentik announced Hybrid Map, allowing NetOps teams to gain an immediate and single, unified view to understand topology state, traffic flows, network performance and device health status within and between multi-cloud, on-prem and internet infrastructures.
This new level of interactivity within the Kentik Network Intelligence Platform enables NetOps teams to get immediate insights into hybrid networks, dive deep and quickly resolve problems.
“Breaking the boundaries of the traditional data center often means broken network monitoring. For network professionals running hybrid infrastructures, Kentik offers the only solution that paints a complete picture of this new reality from container to cloud,” said Christoph Pfister, CPO of Kentik. “Organizations struggle to visualize their hybrid environments, especially when they incorporate container networking overlays. With the new Hybrid Map from Kentik, network teams can finally have that picture on their screen, with complete visibility into real-time and historical health, performance, and traffic data ― and instantly.”
The Kentik Network Intelligence Platform provides integration with flow data from public clouds, host-level instrumentation, virtual network appliances, and incorporates container orchestration metadata. With the addition of Hybrid Map, Kentik now ties together these infrastructure views to provide a more holistic level of understanding about networks. Hybrid Map increases the ability to visually interact with the network while still preserving the power of the underlying query, analytics and anomaly detection capabilities of Kentik.
With Hybrid Map, NetOps can:
- See everything in one place - see all networks, owned or not (data center, cloud flow logs, hosts, WAN, SD-WAN, and the internet), all in one place
- Understand network architecture - learn how devices interconnect and see bandwidth and link utilization
- React quickly to network conditions - discover which devices are experiencing CPU, memory, interface or traffic anomalies
- Easily plan and troubleshoot - surface any traffic pattern in data center traffic
- Quickly find and resolve problems - view network performance and utilization data from the data center to clouds, other sites/data centers and internet sites
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
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 ...