NetOps: A Key Element for Every Enterprise
October 20, 2017

Clayton Dukes
LogZilla

Share this

You've heard of DevOps and SecOps, but NetOps?

NetOps is a natural progression of legacy Network Operations to foster more efficient and resilient infrastructures through automation and intelligence. NetOps provides enhanced operational awareness and a dramatic reduction in Mean Time To Restore (MTTR) during outages.

When the network is down or degraded, that's when the stress begins for Network Operations teams. NetOps provides the means to detect and remediate network issues as they happen, in real time.

The efficacy of NetOps personnel is reliant upon understanding five key elements of a NetOps Platform and how to best utilize and implement each:

1. Service Assurance

Until recently, it was not possible to keep up with the massive amount of data generated from so many disparate sources of information. This led to Network Management Architectures which contained multiple silos of information making it almost impossible to correlate and enrich data because teams could only see part of the picture and sometimes had no visibility at all into service affecting issues. Bringing your entire infrastructure's telemetry under management in one place provides the ability to quickly identify actionable events.

2. Service Automation

Many of today's network teams are still manually remediating issues because they either 1) don't have the mechanisms to automate it, or 2) they don't realize that it can be automated.

When given the ability to have real-time remediation, the scenarios can be potentially endless, therefore, any problem that can workflow a solution should be automated. This automation allows NetOps to construct a trigger that can automatically execute and resolve problems in real-time before anyone knows there was an issue and removes the need for repetitive tasks which eliminates human error.

3. Event Enrichment

When making informed decisions about what to do during the automation process, event enrichment is used to add a layer of intelligence to information about affected devices. When an event comes into a NetOps system, having the ability to modify the payload, add tags, go to other sources of information and look up details such as device location, SLAs, Change Control policies, contact information or anything else that can be used to further group and identify the affected entity greatly reduces the time needed to investigate and correlate service impacting events.

4. Extensibility and Scale

Being able to scale the platform provides the ability to deal with bursts of event streams when anomalistic behavior occurs. Extensibility allows for extraction and tracking of arbitrary data from incoming events (device types, users, locations, failed login names, IP sources/destination ports, GeoIP tracking, etc.) and provides greater visibility for operational awareness.

5. Agnostic Functions

NetOps are capable of ingesting data from any vendor hardware or software messaging platform which can be used to reap the benefits of automatically identifying actionable events, real-time automatic remediation, and assured availability. Agnostic functionality allows for different areas of the organization to utilize a platform without concern for operational effectiveness. Being able to provide operations insight, coupled with automatic remediation and event enrichment frees up engineering staff to do their job instead of repairing known, repeatable, processes.

If you can link automation of the network to all the interdependent steps of application and service delivery, you have the potential for radical change regarding how IT and networks operate and how users will experience services.

Clayton Dukes is CEO and Founder of LogZilla
Share this

The Latest

December 18, 2024

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...

December 17, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...

December 16, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...

December 12, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

December 11, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...

December 10, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...

December 09, 2024

The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...