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INTERNET | Internet Software & Services / Business Intelligence, Analytics & Performance Mgmt
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Founded Year

2015

Stage

Incubator/Accelerator - II | Alive

Total Raised

$251M

About Quantum Metric

Quantum Metric offers a platform that helps companies improve their websites and apps by gleaning continuous real-time feedback from end-users. Quantum Metric uses a continuous product design (CPD) approach to enable businesses to iterate and build digital products faster.

Quantum Metric Headquarter Location

10807 New Allegiance Dr Suite 155

Colorado Springs, Colorado, 80921,

United States

719-482-6047

Latest Quantum Metric News

How Observability Brings Together The Three Most Important IT Metrics

Dec 1, 2021

| Paid Program getty Sir Francis Bacon (1561-1626) has been called both the father of the scientific method (which we hope you love as much as we do) and the father of empiricism, which basically says you need to be able to observe and measure something before you can make decisions based on it. He also coined the phrase "Knowledge is power,” which still sounds pretty snappy after four centuries. In fact, with the explosion of data and the enormous value organizations get when they use it properly, you could argue that knowledge is more powerful than ever. And yet a surprisingly, distressingly large number are still wasting the valuable insights their systems provide free of charge. In fact, if the laggards don’t catch up soon, they might never be able to. In addition to hugely growing volumes of data coming out of every connected device, the adoption of cloud-based applications, cloud security and growing infrastructures create massive amounts of data that are impossible for human operators to manage and analyze. Perhaps worst of all, there is still no accepted best practice for enterprises who want to maximize the value of their data to provide the best customer service, the best security and the highest data-driven revenue. Until observability. Observability is the culmination of decades of enterprise IT-monitoring experience distilled into a replicable, effective, efficient process. Observability takes IT monitoring to a much higher level — in other words, where it needs to be today. Observability is a philosophy and practice of IT monitoring that brings together the most important data generated by your networks and helps you make sense of it all quickly, easily — and actionably. The Three Pillars of Observability Observability is built on three pillars of data — metrics, traces and logs. Individually, they tell valuable stories. Together they lead directly to solutions for crippling business problems. Metrics: The Needle and the Haystack Metrics help to answer some of the most fundamental questions an IT department faces. Is there a slowdown in system performance that’s affecting customers? Are employees having trouble logging in? Is there an unusually high volume of traffic? Is our rate of customer churn going up? Common metrics include: App metrics (rate, errors, duration) Business metrics (revenue, customer signups, bounce rate, cart abandonment) Metrics might be the most valuable of the three because they’re generated so often and by everything from operating systems to applications. Correlating them can provide a more complete view of an IT issue, but correlating them is a huge, ponderous challenge for human operators. Traces Tell the Tale of the Journey, But it Might be a Lengthy One Traces, you may not be surprised to hear, trace the path of an IT issue (a.k.a. an event) through the network to identify individual problems or common bottlenecks. If customers are having trouble logging in, for example, a trace can find the database preventing them from getting access. A trace typically captures data about: Spans (service name, operation name, duration and other metadata) Errors Custom attributes defined by the organization Traces help pull together the data provided by metrics and logs for a more complete picture of a system’s performance over time, including containerized applications and microservices environments. But taken alone, they don’t provide enough information to find and fix (or better yet, prevent) a problem. Logs Paint the Big Picture, But It’s Often Abstract Logs are the building blocks of enterprise data, and while they provide valuable information, it’s often the least rich, useful or valuable. Yet many companies track nothing beyond log data. The challenge of only using logs to identify and remediate issues is, once again, volume; so many systems generate so much log information that finding the most important clues can be nearly impossible. Log data can include: Firewall and intrusion detection system logs Social media feeds (Twitter, etc.) Application, platform and server logs (log4j, log4net, Apache, MySQL, AWS) Observability Brings It All Together Just like modern monitoring solutions alerted you to issues before they happened, an observability solution that combines metrics, traces and logs can bring you better and more complete insights faster, making the IT department’s job even easier. If you’re using containers and microservices, the benefits are even clearer. The additional context provided by an observability solution is vital for troubleshooting across hybrid environments, as it provides significantly more information about where in a distributed network the issue may have occurred. A comprehensive observability solution can help you scale and grow your network much faster and more efficiently than a piecemeal IT implementation. The COVID-19 pandemic clearly showed us how the ability to react quickly and change, grow and adapt to new business challenges has gone from being a competitive advantage to a survival basic. Finally, the benefits of bringing together your metrics, logs and especially traces are invaluable in a hybrid or multicloud environment using containers and microservices. In a distributed network, observability can make the difference between identifying a problem before it happens and a system-crashing, all-hands-on-deck hunt across multiple nodes in multiple environments. Quantum Metric Sees Enormous Value in Observability For a real-world example of a data-driven company getting bottom-line value out of observability, take a look at Quantum Metric . Adopting the Splunk Observability Cloud gave them a 96% increase in application development, a 95% reduction in continuous integration (CI) jobs and saved them more than $80,000 over their previous approaches. But What Would Francis Bacon Say? In a way, observability could be said to apply the premises of empiricism to IT monitoring  — only when you can observe and measure can you effectively act. And while it would be presumptuous in the extreme to conclude that Sir Francis would be a fan of observability, we’re going to go ahead and do it anyway. If you’d like to see for yourself how you can take advantage of the Three Pillars of Observability, download Supercharge Your IT Monitoring .

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Research containing Quantum Metric

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CB Insights Intelligence Analysts have mentioned Quantum Metric in 1 CB Insights research brief, most recently on Dec 3, 2020.

Expert Collections containing Quantum Metric

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Quantum Metric is included in 3 Expert Collections, including Conference Exhibitors.

C

Conference Exhibitors

5,302 items

R

Retail Tech 100 (2020)

100 items

The winners of the first annual CB Insights' Retail Tech 100.

U

Unicorns- Billion Dollar Startups

925 items

Quantum Metric Patents

Quantum Metric has filed 1 patent.

The 3 most popular patent topics include:

  • Computer network security
  • Content delivery network
  • Error detection and correction
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/20/2019

12/29/2020

Error detection and correction, Content delivery network, Intrusion detection systems, Computer network security, Memory processes

Grant

Application Date

2/20/2019

Grant Date

12/29/2020

Title

Related Topics

Error detection and correction, Content delivery network, Intrusion detection systems, Computer network security, Memory processes

Status

Grant

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