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Datadog, but for business metrics

Datadog forever changed the way engineering teams monitor their infra. It's time to do the same for our Business and Ops teams.

Humans have been doing business or 'trade' for thousands of years now. It started with simply trading what you have for something that the other person has. As simple as it gets.

Gradually we started creating, and not merely 'picking from the ground and trading'. And as the centuries rolled by, things got complex. Raw materials, supply chains, efficiency, marketing, demand & supply, engineering...uff!

There are much more moving parts that interact with each other beautifully to culminate into a well-run business.

But things break. More often than we like to admit. And the entire process of business monitoring comes in to ensure our processes are kept running smoothly despite these occasional outages.

A little bit of history

Monitoring tools have been present in one form or the other since the early years of computing in the business world. But only a handful of people can say that they were a witness to the birth and evolution of monitoring tools. And if you are one of them then kudos to you!

Monitoring in the '80s - Arguably the start of the Computing revolution, when businesses started using computers. Very few organisations had tools for monitoring their business processes. Most were in-house developed systems for special needs and use cases. Hence that era could be termed as 'The era of almost no monitoring'.

Monitoring in the '90s - The need to monitor communications in the early '90s gave birth to network monitoring. These tools were developed for the sole purpose of monitoring network hardware and software. Nmon, MTRG, and Big Brother to name a few. These tools were capable of not only monitoring the network hardware & software but also the activities of multiple users on the network.

The 21st Century - The internet was no longer a luxury. With more businesses going online, competition increased. And this meant that companies were doing everything in their power to maintain an edge...to make sure "the customer always chooses us". Also, this new "cloud" thing had made it easier and cheaper to start a company.

There was more data, more competition and stakes were high.

Everything on the cloud - Online businesses moved to the cloud. This eliminated your efforts of monitoring the hardware-related issues. You only had to monitor code performance, that too at the infrastructure level. Cloud platforms have several monitoring tools and APIs for both functional/performance and market-related monitoring.

We have reached way too far from the era of core & crash dumps! And one tool that made its name in the monitoring game is - "Data Dog".

Rise of Datadog

The advent of the cloud eased the monitoring process, but it led to an increasing overlap in the skills required for software engineering and operations. This led to a greater need for collaboration between the two sides to effectively deploy applications.

Founded in 2010 in New York, Datadog brought together these two to create a collaboration between them. It is an Infrastructure monitoring tool used by engineering teams to monitor infrastructure-related metrics.

The product offers monitoring and analytics for cloud-based workflows, allowing the engineering team to track and analyse deployments and to monitor the level of a product's performance, and diagnose errors in their applications.

If you work in a tech company or are connected to the tech community, then you probably have heard about Datadog.

"Do not use a sword in the place of a needle".

Infrastructure monitoring is absolutely essential. But the need for business monitoring can't be overlooked either. Infrastructure and business metrics are fundamentally different.

How are infrastructure & business metrics different?

Infrastructure monitoring can help improve Technology performance whereas Business metrics monitoring can help improve Business performance.

Business metrics are usually more susceptible to external factors than infrastructure metrics. They're both equally critical, but with their own unique characteristics.

Some examples of Infrastructure Metrics are:

Latency: It is the time taken by the pool to respond to requests, time to coordinate/synchronise with peers.

Traffic: It is the number of requests processed by the pool per second.

Errors: They occur at the time of processing client requests, accessing resources, or reaching peers.

Saturation: It is the number of resources currently being used, the number of servers currently operating at capacity, the number of servers available.

Some examples of Business Metrics are:

Sales Cycle (Sales): A sales cycle is the process you follow to have a sales win. The sales cycles can be measured in terms of time like days, weeks, or months.

Website Traffic (Marketing): It is one of the most important metrics for marketers and online businesses. It can be defined as the number of website visitors landing on your website domain.

Absenteeism Rate (HR): How often your employee takes a day or days off in your organisation.

Daily Active Users (Product): This metric is all about the number of unique users you have on your platform on a daily basis. An active user can be defined as someone who has signed up for your product and performs some tasks or activities daily.

From the above examples, we can see that Infrastructure monitoring helps you to monitor your IT resources, monitor request-response time, check for application errors, servers available, etc. In other words, you can monitor your tech's performance. On the other hand Business monitoring helps you monitor your business performance by monitoring business metrics across sales, product, marketing, Operations, supply chain, HR and customer success teams.

Data Dog is a great tool for infrastructure monitoring, but the need for business monitoring can't be bypassed anymore. Organisations cannot monitor their business metrics with tools like Data Dog because infrastructure & business metrics are fundamentally different.

Enter Cliff - Datadog, but for business metrics!

Cliff.ai is a business reliability tool that helps you monitor your important business & ops metrics without creating any dashboard or complex data pipelines.

Cliff helps you monitor your business in a similar way Datadog monitors your IT infrastructure, hence - "Datadog, but for business metrics!"

Just like Datadog detects anomalies in infrastructure metrics and notifies you asap, with cliff you won't miss unexpected changes to your business metrics. Not just that, you'll also get the root cause behind such sudden behaviour, and be able to take corrective action right away!

Philosophy behind Cliff

We have a simple philosophy...dashboards suck.

For decades, businesses have used dashboards to track and visualise their metrics. While dashboards are great for visualising and reporting, they're terrible when it comes to monitoring our critical metrics in real time.

Why? Because they rely on us to visually monitor 100s of graphs, constantly checking for unexpected changes in our metrics. That too 24x7!

Cliff helps you monitor your business metrics without creating 100s of dashboards, helping you create a completely reliable business.

What Cliff brings to the table

Nobody enjoys creating 100s of dashboards, complex data pipelines, and writing endless code only to find out in the end that most of it is useless.

Cliff is a No-code platform where you don't need to create any dashboards or data pipelines. Just connect your data and start monitoring right away in less than 5 minutes. Yes, it's that simple!

Cliff brings the smartness & intelligence of Machine Learning into the game. With traditional BI tools it's difficult to get an understanding of the "root cause" instantly when an anomaly occurs. Delays in identifying the cause means delays in fixing the problems. This directly translates into loo in revenue, higher costs, shipping delays, bad service etc.

Cliff not only sends an instant "alert" to you but also provides all the important details about the root cause of the anomalies so that you can act quickly.

We have built cliff to change the course of business monitoring, just like Datadog did with infrastructure monitoring. That's why, it is "Datadog, but for business metrics".



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