Operations | Monitoring | ITSM | DevOps | Cloud

Every minute a network incident goes unresolved costs your company money. Lost productivity, missed SLAs, degraded user experience, and, in other cases, direct revenue loss. For IT teams and network admins, the pressure to resolve incidents fast isn't just operational, it's existential.

Network outages are easy. Something goes down, alarms fire, you fix it, life moves on. Everyone understands a full outage. It's clean, binary, and at least somewhat predictable. Network instability is the opposite of all that. Nothing fully breaks. Nothing fully works. The ping responds. The connection shows active. And yet users are complaining about choppy calls, sluggish apps, and sessions dropping for no apparent reason. You run a speed test, and it's fine.

When users complain that an app or website is slow, the first question is always the same: Is it the network or the application? HTTP monitoring gives you the answer. Network metrics like latency and packet loss tell you what's happening on the wire. But they don't tell you whether users are actually feeling the impact. HTTP monitoring closes that gap.

Your phone rings. A user is complaining that “the network was slow" or "had issues around 3pm." You run a speed test. Green across the board. No active alerts. Everything looks fine. So what do you tell them? If you don't have a continuous, time-stamped record of what your network was doing at 3pm, you can't tell them anything, not with confidence. You're stuck choosing between "I didn't see anything" and "I'll keep an eye on it," neither of which fixes the problem or satisfies the user.

Poor voice call quality isn't just annoying, it's a productivity killer. Dropped calls mid-negotiation, garbled audio on client meetings, and one-sided conversations where half the words don't make it through: these aren't random technical glitches. They're symptoms of network performance problems that haven't been identified, measured, or fixed. And when your business runs on VoIP, Microsoft Teams, or any cloud-based communication platform, unmeasured voice quality is a liability.

Your apps are slow. Users are complaining. You're staring at a dashboard trying to figure out what broke and when. Sound familiar? This is the reality of reactive network monitoring. By the time someone opens a ticket, the issue has already been affecting performance for minutes, sometimes hours. A network health check flips that script. Instead of chasing problems after the fact, you're catching them before users ever notice.

In 2016, before Obkio existed, we ran a market audit. We interviewed banks, manufacturing companies, and service providers, and asked them one simple question: Why aren't you using a Network Performance Monitoring solution? The answer was unanimous: the tools were too complex, and nobody had the internal resources to run them full-time. If that was true for enterprises with dedicated networking staff, it was even more true for smaller businesses with generalist IT teams.

It's 2 AM. The Network Is Down. Where Do You Start? You get the call. Users can't connect. VoIP is choppy. Something is broken somewhere between your office and the cloud. You open your monitoring dashboard and it says something is wrong, but not where. Not why. Not since when? So you do what IT teams have done for decades. You open a terminal, run a traceroute, SSH into the router, pull up SNMP, check the firewall logs.

In 2016, Obkio was just an idea, but it was an idea born from a real problem. Before writing a single line of code, we conducted a market audit to understand why Network Performance Monitoring solutions weren't more mature. We interviewed banks, manufacturing companies, and service providers, and the answer was unanimous: the NPM tools on the market were too complex, and most businesses simply didn't have the internal resources to dedicate full-time to managing them.

Most companies rewired how their people work, not once but twice. First for remote, then for RTO (Return to Office). Their network monitoring never caught up. So, what happened? IT teams are managing a network that spans headquarters, branch offices, home setups, and cloud apps with tools that still assume everyone's connecting back to one place. When something breaks (and it will), nobody can pinpoint where. IT takes the blame. Users lose productivity. Leadership loses patience.