Introduction¶
In modern organizations, secure VPN access is paramount. At ShitOps, we've encountered the challenge of ensuring real-time monitoring, dynamic scaling, and seamless deployment of Cisco AnyConnect VPN clients across our distributed workforce. The complexity of today's infrastructure demands an equally sophisticated solution that provides granular telemetry, proactive alerting, and zero downtime during updates.
This post details our cutting-edge solution leveraging Prometheus for metrics collection, Rancher for container orchestration, Microsoft Azure for cloud resource management, and Cisco AnyConnect as our VPN client of choice.
Problem Statement¶
Our engineers required a robust way to deploy Cisco AnyConnect clients across multiple endpoints with real-time usage and performance metrics collection, along with an automatic scaling mechanism to handle fluctuating loads without manual intervention. Previous approaches lacked cohesive monitoring integration and presented deployment bottlenecks.
Proposed Architecture¶
We proposed an integrated deployment and monitoring architecture as follows:
-
Use Rancher for Kubernetes cluster management to orchestrate containerized instances of Cisco AnyConnect agents.
-
Leverage Microsoft Azure Kubernetes Service (AKS) for cloud-native scalability.
-
Use Prometheus to scrape detailed VPN session metrics from each Cisco AnyConnect container.
-
Implement custom exporters to translate Cisco AnyConnect status into Prometheus metrics.
-
Configure alert managers to respond to anomalies automatically.
Deployment Workflow¶
Step 1: Containerizing Cisco AnyConnect¶
We created a Docker image encapsulating the Cisco AnyConnect software along with custom telemetry exporters that expose detailed session metrics over HTTP endpoints compatible with Prometheus.
Step 2: Rancher Orchestration¶
Deploying our containerized AnyConnect agents on a Rancher-managed Kubernetes cluster provides:
-
Auto-scaling based on CPU and memory thresholds
-
Rolling updates to maintain availability
-
Network policies for secure inter-pod communication
Step 3: Metric Collection and Alerting¶
Prometheus scrapes the metrics endpoints at a 15-second interval, storing time-series data for:
-
Active VPN session count
-
Authentication latency
-
Packet loss percentages
-
Reconnection attempts
Configured alert rules trigger pre-defined actions such as scaling or notifications.
Step 4: Azure Integration¶
Azure Monitor integrates Kubernetes metrics and logs with Prometheus data, providing a unified dashboard. Azure Functions automate remediation based on alert triggers.
Implementation Diagram¶
Benefits¶
-
Scalability: Auto-scaling clusters easily absorb VPN load spikes.
-
Visibility: Granular metrics improve troubleshooting and capacity planning.
-
Automation: Alert-driven scaling and remediation reduce manual overhead.
-
Security: Network policies enforced at the orchestration layer enhance protection.
Conclusion¶
By merging the powerful monitoring capabilities of Prometheus, the seamless orchestration of Rancher, the robustness of Microsoft Azure cloud frameworks, and the reliability of Cisco AnyConnect VPN, ShitOps has built a futuristic infrastructure that not only handles today’s challenges but also future-proofs our VPN access control and observability.
Our ongoing efforts focus on further enhancing AI-driven anomaly detection and predictive scaling to push the boundaries of what enterprise VPN infrastructure can achieve.
Thank you for exploring this innovative architecture with us — we look forward to sharing more pioneering solutions in upcoming posts!
Comments
NetworkGuru commented:
This is an impressive integration of technologies! Leveraging Prometheus with Rancher and Azure for Cisco AnyConnect is a smart move to gain visibility and scalability. I'm curious about how the custom exporters were implemented to extract metrics from the Cisco AnyConnect agent.
Dr. Titus Overengineer (Author) replied:
Thanks! The custom exporters are built using Go and interact with the Cisco AnyConnect API to extract session stats, then expose them as Prometheus metrics endpoints.
CloudOpsExpert commented:
Automating scaling and remediation with Azure Functions is a game changer. Are there any challenges with latency in alert response that you've noticed?
Dr. Titus Overengineer (Author) replied:
Great question, latency is minimal due to the event-driven architecture of Azure Functions—they trigger almost instantly upon alert. We tunethe alert rules to avoid false positives, which helps keep remediations efficient.
TechDabbler commented:
Really cool post! However, I'm wondering how secure this system is given all these moving parts. How do you ensure security across the Kubernetes clusters and the network policies?
Dr. Titus Overengineer (Author) replied:
Security is paramount for us. We implement strict network policies at the Kubernetes level, use Azure's security features, and keep container images minimal and regularly scanned for vulnerabilities.
VPNBuilder commented:
I love that this architecture includes proactive alerting and zero downtime updates. Has this system reduced your VPN downtime significantly compared to previous setups?
Dr. Titus Overengineer (Author) replied:
Absolutely! We've seen a near-elimination of downtime during updates and the alerting helps us fix issues before users notice.
K8sNewbie commented:
As someone new to Kubernetes, this post shed a lot of light on how to orchestrate containerized VPN clients. Any advice on where to start learning for such integrations?
Dr. Titus Overengineer (Author) replied:
Start with understanding the basics of Kubernetes and Prometheus monitoring. Then explore Rancher's interface for managing clusters. Our future posts will dive into tutorials for each component.
SkepticalSam commented:
While this is an impressive setup, I worry about the complexity it introduces. Isn't maintaining such an integrated system a headache? What if one component fails?
Dr. Titus Overengineer (Author) replied:
It's true the system is complex, but with proper monitoring and alerting like the one we built, failures are detected early and the modular architecture allows us to isolate and fix issues quickly.
NetworkGuru replied:
I agree with Titus. Modern infrastructure requires complexity but provides resilience and flexibility that simple systems can't. Good design and monitoring are key.