Virtual CISO

Network optimization is crucial because our interconnected real-time world is completely dependent on the reliable, secure, available, 24/7 transfer of data. Year on year the demand placed on networks to perform is only growing since our world is undeniably data-driven.

Overall, the best way to perform network optimization is to simply have a thorough, real-time understanding of network activity. Knowing an issue is occurring is just the first step being aware of the issue, how it occurred, how it can be mitigated, and whether it could happen again is crucial for network performance optimization.

When network path latency occurs, applications can experience downtime and adversely affect end users on the network. To mitigate these bottlenecks, network optimization can help users measure network latency at the packet level. There are several techniques like calculating the uptime of client sessions with an application server using a Three-Way Handshake (TCP Handshake).

Network Optimization Metrics are:

Network Availability
Among the biggest concerns of any network manager is the responsibility for business-critical or mission-critical network environments. Network availability is the percentage of time that the network is functioning over a specific period. All network resources are checked for availability, including network devices, interfaces, WANs, SD-WANs, services, processes, applications, and websites, amongst others. The ideal network availability metric is often expressed as “nine nines”: 99.9999999%, which translates into 31.56 milliseconds of downtime per year.

Network Utilization
This is a measure of the amount of traffic on the network, showing whether a network is busy, stable, or idle. It is calculated as a ratio based on current traffic to the peak traffic the network can handle and is specified as a percentage. Spikes in network usage can affect the performance of the network infrastructure on every layer, and monitoring is required to track usage increases. Inbound and outbound arrays of bandwidth usage are measured by network managers to see at a glance how much and where the network is being utilized, enabling them to make knowledgeable decisions about upgrades and maintenance.

Network Latency / Delay
“Latency” is a synonym for “delay”. Network latency is the measurement of delays that occur in data communication, either in a one-way or round trip of a packet of data. An indicator of network speed, usually measured in milliseconds, latency has a big effect on user experience (think VoIP calls or video streaming in particular). Networks that experience small delays are a low-latency networks. Those with long delays are high-latency networks.

Network Jitter
When a stream of data is not constant, resulting in some packets of data taking longer than others to be delivered, it is known as a network jitter. it is a sign of an overloaded router due to network bottleneck, and typically results in poor online video or voice quality.

Network Service Delivery and Service Assurance
Service delivery monitoring is the technology that enables the visualization, detection, alerting and reporting on the status of an end-to-end IT service. It is like service assurance, which is a framework of technology and processes to ensure that IT services offered over the enterprise network meet the agreed-to service quality level (SLA) for optimal user experience. Service delivery monitoring and service assurance occur through the optimization of the application performance across a hybrid network infrastructure.

Industry Uses Cases for Network Optimization

Network availability, flexibility, and scalability is the goal of every enterprise with a vision to provide reliable, immediate, secure delivery of and access to enterprise data, applications, and services. Typical network optimization initiatives involve individual workstations and devices right up to the servers, with everything in between. The ideal way to do this is by leveraging technologies, that is, optimizing existing systems without acquiring additional hardware or software.

Some of the actions NetOps takes to optimize network performance are:

  • Traffic shaping
  • Redundant data elimination
  • Data caching
  • Data compression
  • Streamlining of data protocols
  • Buffer tuning
  • Quality of service (QoS) implementation
  • Enhanced application delivery

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