Efficient monitoring in hybrid networks requires visibility in the cloud and at the edge. This architecture eliminates fragmented telemetry by using specialized tools for each environment.

Data Gravity

A core principle of efficient monitoring is respecting data gravity. As discussed in our Data Gravity article, moving large volumes of data across environments for analysis incurs high egress costs and latency. The following practices focus on localizing capture and analysis to keep your monitoring lean and responsive.

On-Premises: secure and lossless data access

Reliable and secure monitoring begins with high-quality, non-intrusive data acquisition. Traditional SPAN ports often drop packets or alter timing under heavy loads, which compromises the integrity of your monitoring chain.

Best practices:

• Use passive TAPs: Deploy passive fiber or copper TAPs at key capture points for a bit-for-bit copy of desired traffic at wire speed.
  
  
• Implement Data Diodes: In high-security environments (ICS/SCADA, finance, or government), use Profitap secure TAPs with integrated hardware data diodes. These ensure unidirectional traffic flow, physically preventing the monitoring tool from becoming an attack vector. These TAPs meet ANSSI CSPN guidelines, featuring tamper-evident seals and secured firmware to prevent unauthorized access. More info about secure traffic access here: https://www.profitap.com/secure-data-access/

Diode fiber TAP	1-Link gigabit copper TAP	8-Link gigabit copper TAP
Fiber TAP with diode feature preventing light injection from the monitor ports.	10M/100M/1G copper TAP with diode feature protecting the network from data injection from the monitor ports.	High density 10M/100M/1G copper TAP with diode feature protecting the network from data injection from the monitor ports.

Cloud: kernel-level observability

Cloud environments such as Microsoft Azure and containerized clusters often create blind spots for East-West (lateral) traffic.

Best practices:

• Agentless mirroring: Avoid installing agents inside VMs or containers to prevent performance overhead. Instead, capture traffic at the host kernel level.
• Automated orchestration: Use a centralized management plane to track dynamic changes in Kubernetes pods and Azure VNETs.

Profitap offers:

• Cloud TAP: Provides full visibility into Azure (Windows and Linux) and Kubernetes (vanilla K8s and AWS EKS). It captures North-South and East-West traffic directly from the virtual interface without modifying applications.
  

• Supervisor: Acts as the central management plane for Cloud TAP. It automates the deployment and validation of tapping points, ensuring monitoring remains persistent even as Kubernetes clusters scale or migrate.

Edge monitoring: solving data gravity

Transferring raw packet data from remote branches to a central data center is often cost-prohibitive. As discussed in our Data Gravity article, analysis should happen where the data resides.

Best practices:

• Local capture and analysis: Perform on-site primary troubleshooting. Export only metadata or specific packet slices to the central office for long-term trend analysis, while preserving WAN bandwidth.
  
  
• High-fidelity: use full PCAP for:
• Forensic deep dive during an incident.
• When you need to troubleshoot a specific issue.
• When you want full visibility into a specific tool, protocol, or user.

The decision between keeping full packet captures or only metadata has a significant impact on storage space! Read our article about Packet capture at scale: planning storage and retention.

Profitap offers:

• IOTA: Purpose-built for edge, remote sites and datacenters. It combines a TAP, a high-performance capture engine, and an internal analysis dashboard. IOTA allows remote teams to troubleshoot issues locally without backhauling massive PCAP files.

IOTA EDGE (1G / 10G)	IOTA CORE (10G / 100G)
Dedicated and remote deployment Lightweight and portable In-line or out-of-band 1 TB or 2 TB capture storage (removable) Capture performance 3.2 Gbps	Dedicated deployment on central capture points Out-of-band 4 to 307 TB capture storage Capture performance 10 to 100 Gbps

By implementing these solutions, organizations transition from isolated data silos to a cohesive monitoring system that delivers the appropriate data exactly when and where it's needed. The example below shows a hybrid network in which captured traffic is aggregated, optimized using brokers, and monitored locally whenever possible.