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Kentik Expands Cloud Analytics with Visibility into AWS

Kentik announced the expansion of its platform to provide integrated agentless cloud visibility into Amazon Web Services (AWS).

With Kentik’s cloud analytics suite, enterprises and service providers gain control over cloud and hybrid environments, enabling greater performance, security, cloud cost-control, and ultimately, a better experience for customers.

Kentik’s added support for AWS Flow Logs help organizations maintain visibility across environments without the deployment of agents or cloud appliances.

“While cloud providers take away the huge overhead of building, maintaining, and upgrading physical infrastructure, network management doesn’t disappear after migrating to the cloud. In fact, a majority of organizations find that understanding the network behavior of their cloud-deployed applications is a critical part of ensuring their performance and security ー and directly ties to maintaining revenue and customer experience,” said Avi Freedman, co-founder and CEO of Kentik. “Adding support for AWS Flow Logs into our platform is just one more way the Kentik team is working to provide pervasive visibility of network traffic regardless of which infrastructure an organization chooses to host its applications in.”

With the addition of AWS VPC Flow Logs to Kentik’s AWS monitoring, enterprise and service providers gain:

- A data-driven approach to cloud management ーNetwork operators and engineers can leverage AWS VPC Flow Logs in Kentik to see traffic flows between regions, understand service dependencies within or between cloud and on-premise infrastructure, and more clearly understand cloud infrastructure planning, growth, and cost management.

- Instant situational awareness and faster MTTR ーDevOps and SRE teams get automated insight into performance, cost, and security anomalies and can instantly filter, pivot, and drill-down into issues faster than ever to more quickly get to root cause and gather details needed to restore services to a healthy state.

- Faster incident response and forensic analysis ーSecurity engineering and operations teams gain pervasive instrumentation of potential threat activity to, from and within AWS environments.

- Cost analytics to tame bandwidth spend ーCloud providers charge a premium for outbound bandwidth to the Internet, inter-VPC, or across cloud direct connect links, often adding up to a significant fraction of cloud spend. With Kentik, teams can instantly be alerted to, investigate, and optimize new and growing spend for network data transfer.

- Business insights for executives ーCustomizable dashboards and an intuitive UI enables executives to get a big-picture understanding into areas such as user/customer experience KPIs and cloud infrastructure spend, budgets, and expectations.

News of Kentik’s cloud visibility expansion for AWS comes on the heels of the company’s announcement of support for Google Cloud Platform VPC Flow Logs, and is a component of Kentik’s multi-cloud analytics suite, which includes Flow Logs, virtual appliance, and host-based traffic monitoring from the major public clouds, seamlessly combined with visibility from enterprise and service provider private clouds and data center infrastructures.

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Kentik Expands Cloud Analytics with Visibility into AWS

Kentik announced the expansion of its platform to provide integrated agentless cloud visibility into Amazon Web Services (AWS).

With Kentik’s cloud analytics suite, enterprises and service providers gain control over cloud and hybrid environments, enabling greater performance, security, cloud cost-control, and ultimately, a better experience for customers.

Kentik’s added support for AWS Flow Logs help organizations maintain visibility across environments without the deployment of agents or cloud appliances.

“While cloud providers take away the huge overhead of building, maintaining, and upgrading physical infrastructure, network management doesn’t disappear after migrating to the cloud. In fact, a majority of organizations find that understanding the network behavior of their cloud-deployed applications is a critical part of ensuring their performance and security ー and directly ties to maintaining revenue and customer experience,” said Avi Freedman, co-founder and CEO of Kentik. “Adding support for AWS Flow Logs into our platform is just one more way the Kentik team is working to provide pervasive visibility of network traffic regardless of which infrastructure an organization chooses to host its applications in.”

With the addition of AWS VPC Flow Logs to Kentik’s AWS monitoring, enterprise and service providers gain:

- A data-driven approach to cloud management ーNetwork operators and engineers can leverage AWS VPC Flow Logs in Kentik to see traffic flows between regions, understand service dependencies within or between cloud and on-premise infrastructure, and more clearly understand cloud infrastructure planning, growth, and cost management.

- Instant situational awareness and faster MTTR ーDevOps and SRE teams get automated insight into performance, cost, and security anomalies and can instantly filter, pivot, and drill-down into issues faster than ever to more quickly get to root cause and gather details needed to restore services to a healthy state.

- Faster incident response and forensic analysis ーSecurity engineering and operations teams gain pervasive instrumentation of potential threat activity to, from and within AWS environments.

- Cost analytics to tame bandwidth spend ーCloud providers charge a premium for outbound bandwidth to the Internet, inter-VPC, or across cloud direct connect links, often adding up to a significant fraction of cloud spend. With Kentik, teams can instantly be alerted to, investigate, and optimize new and growing spend for network data transfer.

- Business insights for executives ーCustomizable dashboards and an intuitive UI enables executives to get a big-picture understanding into areas such as user/customer experience KPIs and cloud infrastructure spend, budgets, and expectations.

News of Kentik’s cloud visibility expansion for AWS comes on the heels of the company’s announcement of support for Google Cloud Platform VPC Flow Logs, and is a component of Kentik’s multi-cloud analytics suite, which includes Flow Logs, virtual appliance, and host-based traffic monitoring from the major public clouds, seamlessly combined with visibility from enterprise and service provider private clouds and data center infrastructures.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...