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Kentik Launches Hybrid Map

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

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Kentik Launches Hybrid Map

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

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...