4 ‘D’s OF DIFFERENTIATION

By combining real world experience with a vision of the future, Synaptect solves your network virtualization issues. Our conception for everything that we create and all of our solutions comes down to 4 Ds:

Do

From edge devices to core servers, the NFVgrid Analytics Engine monitors and analyzes all of your network activity. By dividing the network into micro-segments, every device on the network can have its own communications rules on both the internet and corporate intranet sides. Orchestration suites such as NFVgrid can utilize the information from the Analytics Engine to maintain existing services as well as spin new ones and terminate redundant VMs. Preloaded service chains simplify orchestration on the spot.
How do we do it? Read on!

Detect

Collect and analyze EVERYTHING. At Synaptect, we know that it’s the best way to ensure that anomalies and pattern changes are detected as soon as possible. We do this to improve orchestration and management as well as for security. This means that when required, you can go down to the packet level to retrieve actionable data.

We collect three kinds of data:

User-provided data

GW/FW/NE Configuration files, IP Addresses, and port assignments

System generated data

Alarms, Events logs, Stats, and crush files, etc., (ELK). This includes ALL incoming and outgoing L2, L3, VPN and DIA packets.

Service data

Includes signaling traffic and user plane traffic. (Contrail Analytics)

After collection, we bring deterministic and machine-learning techniques to bear in order to prepare the data for analysis. Speed = security as well as efficiency at this point, and we do things such as keeping the data on a single platform to reduce access time.

From here, the data goes through the Diagnose phase.

Diagnose

Use the Synaptect diagnostic suite to make sense of all the data. Gather insights from high-volume, multi-layered, and diverse data sources and reach down to the packet level for assessment. The Synaptect diagnostic suite features comparisons including logs and packets to drive the root-cause anomaly detection capability.

The diagnostic suite relies heavily on correlation and graph-based analysis. Synaptect reach into its SDN-focused Big Data analytics roots achieve this by creating a core diagnostic function founded on packet and log analysis. The results are faster diagnostics with a “the more the merrier” attitude toward adding new variables and data points.

  • Bandwidth

    Bandwidth diagnostics is important for seeing what bottlenecks and high bandwidth consuming apps are present in the system. This would include

    • identifying optimization opportunities based on abnormal bandwidth consumption, both high and low, through bandwidth threshold monitoring
    • creating traffic prioritization policies

  • Flow

    Flow diagnostics can be useful anywhere that network communications are important considerations. Some basic uses include:

    • detecting abnormal network spikes
    • detecting and notifying about network scans, DDoS and other kinds of attacks
    • profiling network metrics in order to analyze temporary variations and tenant network capacity

  • Network

    Network diagnostics is important for maintaining and optimizing a variety of network aspects, including:

    • auto-discovering of new network nodes
    • conducting critical path analysis
    • creating and customizing the network topology
After the suite analyzes the data, flags are raised for operator review in the Determine phase.

Determine

Base your manual response load on your own needs. With our products using the NFVgrid Analytics Engine, you can pre-set anomaly flagging thresholds and automated response options. Focus on the events that matter most to your company and dig into root causes with our suite by using:

  • Dynamic Threshold with triggers set nominally at 1, 2, and 3 σ
  • Dynamic SLA with an exponential moving average
  • alarm correlation for multiple network functions
  • user-set micro environments down to the device level