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New Kentik Detect Provides Visibility into Google Cloud Platform

Kentik announced a product expansion that adds deep visibility into the Google Cloud Platform. With Kentik Detect, enterprises can get real-time insights from VPC Flow Logs for their Google Cloud Platform environments to optimize network performance, security, and user experience.

With traffic on the rise, Google recently introduced VPC (virtual private cloud) Flow Logs to its Google Cloud Platform (GCP) for users to gain “network transparency in near real-time.”

Gaining actionable intelligence from flow logs requires a modern, scalable network analytics solution, which is why Kentik expanded its platform to support Google’s VPC Flow Logs. Kentik’s support of VPC Flow Logs as a primary data source means that Kentik customers gain full visibility into network activity within their GCP environments ― and also between GCP and traditional data centers in hybrid cloud architectures.

“A majority of enterprises we talk to report both a growing need for visibility into their hybrid cloud environments, and the increased complexity of hybrid cloud networking,” said Avi Freedman, Co-founder and CEO of Kentik. “With five-second granularity, Google’s VPC Flow Logs provide an outstanding level of detail, and Google is unique in exposing performance data in their flow logs. Kentik’s customers have been excited about adding Google’s VPC Flow Logs to Kentik Detect to get agentless visibility and even better management of the performance, security, and user experience of all of their applications, whether they live in traditional infrastructure, GCP, or both.”

By adding support for Google VPC Flow Logs, Kentik users across the organization gain visibility into hybrid environments, including:

- NetOps & NetEng Teams – Network operators and engineers gain the ability to visualize traffic flows and service dependencies for a data-driven approach to cloud infrastructure planning, growth, and cost management.

- SecOps Teams – Security engineering and operations teams gain pervasive instrumentation of potential threat activity to, from, and within GCP projects for faster incident response and more granular forensic analysis.

- DevOps & SRE Teams – Fast filtering, pivots, and drill-downs provide instant situational awareness, so DevOps and site reliability engineering (SRE) teams can quickly get to root cause and gather the details they need to restore services to a healthy state.

- Executives – With customizable dashboards and an intuitive UI, executives can leverage insights from Kentik to see the big picture, understand changes in user/customer experience KPIs, and better manage cloud infrastructure spend, budgets, and expectations.

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New Kentik Detect Provides Visibility into Google Cloud Platform

Kentik announced a product expansion that adds deep visibility into the Google Cloud Platform. With Kentik Detect, enterprises can get real-time insights from VPC Flow Logs for their Google Cloud Platform environments to optimize network performance, security, and user experience.

With traffic on the rise, Google recently introduced VPC (virtual private cloud) Flow Logs to its Google Cloud Platform (GCP) for users to gain “network transparency in near real-time.”

Gaining actionable intelligence from flow logs requires a modern, scalable network analytics solution, which is why Kentik expanded its platform to support Google’s VPC Flow Logs. Kentik’s support of VPC Flow Logs as a primary data source means that Kentik customers gain full visibility into network activity within their GCP environments ― and also between GCP and traditional data centers in hybrid cloud architectures.

“A majority of enterprises we talk to report both a growing need for visibility into their hybrid cloud environments, and the increased complexity of hybrid cloud networking,” said Avi Freedman, Co-founder and CEO of Kentik. “With five-second granularity, Google’s VPC Flow Logs provide an outstanding level of detail, and Google is unique in exposing performance data in their flow logs. Kentik’s customers have been excited about adding Google’s VPC Flow Logs to Kentik Detect to get agentless visibility and even better management of the performance, security, and user experience of all of their applications, whether they live in traditional infrastructure, GCP, or both.”

By adding support for Google VPC Flow Logs, Kentik users across the organization gain visibility into hybrid environments, including:

- NetOps & NetEng Teams – Network operators and engineers gain the ability to visualize traffic flows and service dependencies for a data-driven approach to cloud infrastructure planning, growth, and cost management.

- SecOps Teams – Security engineering and operations teams gain pervasive instrumentation of potential threat activity to, from, and within GCP projects for faster incident response and more granular forensic analysis.

- DevOps & SRE Teams – Fast filtering, pivots, and drill-downs provide instant situational awareness, so DevOps and site reliability engineering (SRE) teams can quickly get to root cause and gather the details they need to restore services to a healthy state.

- Executives – With customizable dashboards and an intuitive UI, executives can leverage insights from Kentik to see the big picture, understand changes in user/customer experience KPIs, and better manage cloud infrastructure spend, budgets, and expectations.

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As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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