Ensuring Communication Apps Perform as Networks Expand
October 02, 2019

Paul Davenport
AppNeta

Share this

When comparing enterprises today to those of the past, the differences are vast, but a few key features stand out. For starters, operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources.

Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools. UCaaS (unified communications as a service) in particular now represents a $3.5 billion global market that is forecast to grow by almost 70 percent in the next three years, according to IDC. And with so much cash on the table, it's no wonder that so many applications are coming to market looking for their share of the spoils.

This is a double edged sword for enterprise IT and for business users in general. On the one hand, users have a bevy of solutions to choose from that may be tailored to the unique needs of the business. On the flip side, this has the potential to add to the litany of new apps that are flooding the network and competing for network capacity. This raises the prospect of shadow IT running amok, for instance, if teams aren't aligned on what solutions are best. As more solutions sap up network capacity, it inevitably has to come at the expense of performance in other key areas, which can result in headaches across the business.

It's increasingly challenging for enterprise IT to juggle the performance of the larger enterprise network and the approved UCaaS and SaaS solutions leveraging capacity when teams aren't even aware of all the apps leveraging their networks. This is only the beginning of the challenge, as enterprise IT teams struggle with a lack of visibility when it comes to diagnosing issues that aren't the fault of the network but of the SaaS and cloud provider without additional monitoring solutions. While modern IT may not own or control the tools used by their SaaS vendors, business users still turn to IT when their apps aren't meeting performance standards. Even if IT can't own remediation of the issue because it's the fault of a third-party vendor, they still need to pinpoint where and why an issue is taking place, and put the wheels in motion for remediation.

Where UCaaS and collaboration tools are concerned, specifically, how can enterprise IT teams do their best to assure performance?

1. Get a view of the scale and scope of the network's "app landscape"

Without visibility into all of the apps leveraging network capacity, enterprise IT may be unaware of potentially malicious applications on the network. But perhaps more importantly, they'll have their hands tied when it comes to seeing how non-critical apps are impacting important ones. For communication tools in particular, ensuring that these "business critical" applications are getting the share of network capacity that they require is essential.

2. Baseline network performance, and explore alternatives

Building on the first step, enterprise IT should look at this as an opportunity to see what's really working, and explore areas for improvement. If a team abandons Slack for a different messaging app, for instance, IT should evaluate if it was simply a matter of UX preference, or if it was actually a performance issue that IT could remedy. To that end, teams need to take a close look at the strength of the network in areas that may be ripe for weaknesses: Is network capacity at remote sites sufficient enough to support the needs identified in step one, as well as for new technology coming down the line?

3. Establish (and enforce!) use policies with newly gained visibility

Enterprise IT needs to use a combination of monitoring approaches — both passive approaches and active ones — that allow them to visualize the whole network and all of their apps. This doesn't necessarily mean dedicating manpower to policing users, but employing lightweight — that is, low overhead and easy to control — solutions that can deliver real-time insights that are easy to analyze and take action on.

Once armed with active and passive visibility across the enterprise network, enterprise IT can not only support their existing communication solutions but help prime the network for the inevitable avalanche of new tech to come.

Paul Davenport is Marketing Content Manager at AppNeta
Share this

The Latest

October 17, 2019

As the data generated by organizations grows, APM tools are now required to do a lot more than basic monitoring of metrics. Modern data is often raw and unstructured and requires more advanced methods of analysis. The tools must help dig deep into this data for both forensic analysis and predictive analysis. To extract more accurate and cheaper insights, modern APM tools use Big Data techniques to store, access, and analyze the multi-dimensional data ...

October 16, 2019

Modern enterprises are generating data at an unprecedented rate but aren't taking advantage of all the data available to them in order to drive real-time, actionable insights. According to a recent study commissioned by Actian, more than half of enterprises today are unable to efficiently manage nor effectively use data to drive decision-making ...

October 15, 2019

According to a study by Forrester Research, an enhanced UX design can increase the conversion rate by 400%. If UX has become the ultimate arbiter in determining the success or failure of a product or service, let us first understand what UX is all about ...

October 10, 2019

The requirements of an APM tool are now much more complex than they've ever been. Not only do they need to trace a user transaction across numerous microservices on the same system, but they also need to happen pretty fast ...

October 09, 2019

Performance monitoring is an old problem. As technology has advanced, we've had to evolve how we monitor applications. Initially, performance monitoring largely involved sending ICMP messages to start troubleshooting a down or slow application. Applications have gotten much more complex, so this is no longer enough. Now we need to know not just whether an application is broken, but why it broke. So APM has had to evolve over the years for us to get there. But how did this evolution take place, and what happens next? Let's find out ...

October 08, 2019

There are some IT organizations that are using DevOps methodology but are wary of getting bogged down in ITSM procedures. But without at least some ITSM controls in place, organizations lose their focus on systematic customer engagement, making it harder for them to scale ...

October 07, 2019
OK, I admit it. "Service modeling" is an awkward term, especially when you're trying to frame three rather controversial acronyms in the same overall place: CMDB, CMS and DDM. Nevertheless, that's exactly what we did in EMA's most recent research: <span style="font-style: italic;">Service Modeling in the Age of Cloud and Containers</span>. The goal was to establish a more holistic context for looking at the synergies and differences across all these areas ...
October 03, 2019

If you have deployed a Java application in production, you've probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away — only to reappear a few days later. A key question then is: how to troubleshoot high CPU usage of a Java application? ...

October 02, 2019

Operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources. Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools ...

October 01, 2019

To better understand the AI maturity of businesses, Dotscience conducted a survey of 500 industry professionals. Research findings indicate that although enterprises are dedicating significant time and resources towards their AI deployments, many data science and ML teams don't have the adequate tools needed to properly collaborate on, build and deploy AI models efficiently ...