Best practices Observability

How to Calculate Uptime? And 5 Tips for Achieving 99.9%

The lifeblood of any online business lies in its accessibility. When your site or application is accessible, your customers are happy, your brand reputation remains intact, and revenues keep flowing. Because of this, understanding and calculating uptime becomes crucial. 

Let’s face it: any downtime translates to lost revenue. A study by the ITIC found that 98% of organizations say a single hour of downtime costs over $100,000, with a single hour of server downtime totaling $300,000 or more for 91% percent of mid-sized enterprises (SMEs) and large enterprises.

TIP: Read more about the 6 hidden costs of downtime.

This highlights the importance of understanding and ensuring optimal uptime.

But what does uptime truly mean? Let’s take a closer look. 

What is the Difference Between Uptime and Availability?

Uptime and availability are often used interchangeably, but they have subtle differences.

Uptime refers to the total time that a system, typically a website or server, remains operational and accessible to users. It’s a measure of system reliability and stability. On the other hand, availability is the proportion of time a system is functional relative to a specific period, usually expressed as a percentage.

In simpler words: If you run a website that’s been live for 29 days in a month of 30 days, then it has an uptime of 29 days. If we turn this into a percentage relative to the entire month, it’s the availability.

Uptime Availability
Definition Total operational time of a system Percentage of operational time in a period
Example A site up for 29 days in a 30-day month (29/30) x 100% = 96.67% for that month

This distinction is crucial, especially when dealing with service providers who might tout impressive uptime figures. Always ask if they’re talking about absolute uptime or availability over a given period. The difference can impact your business’s operations.

UptimeRobot provides detailed information for each monitor, displaying values with up to three decimal numbers.

99.999: The Five Nines

Achieving 99.999% uptime, often referred to as the Five Nines, is the Holy Grail in the world of uptime. For organizations, it translates to a yearly downtime of just about 5.26 minutes. The pursuit of the Five Nines has led many companies to invest heavily in infrastructure and monitoring tools. 

TIP: What does 99.999% uptime really mean?

Statistically speaking, aiming for Five Nines (99.999% uptime) means your website or system would experience:

  • Daily: 0.864 seconds
  • Weekly: 6.048 seconds
  • Monthly: 26.28 seconds
  • Yearly: 5.26 minutes

of downtime.

In comparison, 99.9% uptime would allow for:

  • Daily: 1.44 minutes
  • Weekly: 10.08 minutes
  • Monthly: 43.8 minutes
  • Yearly: 8.76 hours

of downtime.

So while 99.9% and 99.999% might sound similar at first, the difference is quite significant at the end of the day.  

So how hard is it to achieve 99.999% uptime? According to NOBL9, “Achieving five 9s availability is often difficult and expensive, as it requires a high level of redundancy and careful planning. For example, a power grid that is designed for five 9s availability will typically have backup generators and power lines that can be used if the primary system fails.”


Service Level Agreement (SLA) and Service Level Objective (SLO) are often at the heart of uptime discussions.

An SLA is a formalized commitment made by a service provider to its clients.

It’s often tied to legal obligations and can include penalties for not meeting the agreed-upon standards. Businesses usually use public status pages to showcase their SLA. 

In contrast, an SLO is more of an internal benchmark set by organizations.

It’s an aspirational goal that they aim to achieve but isn’t legally binding.

If an organization sets an SLO of 99.99% and falls short, there might be internal repercussions, but clients can’t typically sue or claim penalties based on it.

Think of them as complementary, rather than separate things. Essentially, SLOs serve as internal objectives and benchmarks, while SLAs are oriented externally, usually between a service vendor and its client. 

Check out our article SLA vs. SLO vs. SLI: What’s the Difference? for a deeper insight into the topic. 

How to Calculate Uptime and Availability?

Calculating uptime is straightforward — it’s the amount of time your system has been functional.

But to get the availability percentage, you’ll need to divide the uptime by the total period you’re measuring and multiply by 100.

For example, for a website that’s had 8 hours of downtime in a year: Total hours in a year: 8,760 Uptime = 8,760 – 8 = 8,752 hours Availability = (8,752/8,760) x 100 = 99.91%

Or, in a more visual form: 

📅 Total Hours in a Year: 8,760 hours

🚫 Oops! Downtime Experienced: 8 hours

🆙 Actual Uptime: 8,760 – 8 = 8,752 hours

📈 Availability Percentage:
[(8,752 hours ÷ 8,760 hours) x 100] = 🎯 99.91% Uptime!

Other Key Metrics You Should Track

Beyond uptime and availability, several other metrics provide insights into system performance and reliability.

Metrics are more than just numbers on a dashboard, they are the narrative of a system’s journey.

They guide businesses in understanding not just the ‘how’ but also the ‘why’ behind system behaviors. Each metric is like a puzzle piece, revealing a different facet of the system’s overall health, efficiency, and user experience.

By tracking the right metrics, businesses can proactively identify potential pain points, anticipate challenges, and drive continuous improvement. 

MTBF (Mean Time Between Failures)

This is an indicator of a system’s reliability. It represents the average interval between system failures.

If you have a high MTBF, it suggests that your system is reliable, encountering failures infrequently. 

But what exactly constitutes a “good” MTBF?

The answer varies depending on the context and the specific industry in question.

According to Pure Storage, “Since the time between failures for a system or component can depend on factors such as configurations, operating conditions, age, and other external factors, there isn’t one ‘good’ MTBF metric. Instead, MTBF should be calculated for your specific assets and will become more accurate as you collect more data on them.”

Here’s an example of a high MTBF (which means the system is reliable): 

Imagine a scenario where the system experiences disturbances three times within a span of 60 days (1,440 hours).

Each hiccup lasts just 5 minutes, adding up to a total disruption time of 15 minutes (0.25 hours).

Total uptime = (1,440 – 0.25) = 1,439.75 hours

Total number of incidents = 3

MTBF = total uptime / number of incidents

MTBF = 1,439.75 / 3 = 479.92 hours (roughly 20 days)

With interruptions occurring only every 20 days and lasting a mere 5 minutes each time, this system showcases a high degree of reliability, ensuring minimal disruption to business activities and customer experiences.

MTTR (Mean Time to Repair)

This refers to the average duration it takes to restore a system after a failure.

A lower MTTR indicates efficient recovery mechanisms in place.

On the other hand, the longer it takes for services to come back after a failure, the bigger the negative consequences. 

Formula to Calculate MTTR:

MTTR = Total Repair Time / Number of Repairs

In the equation:

  • Total Downtime is the cumulative time the system was down due to failures during a specified period.
  • Number of Incidents refers to the total number of times the system failed in the same specified period.

For example, let’s say a website experienced five failures in a month:

  1. 2 hours on the 5th
  2. 1.5 hours on the 9th
  3. 3 hours on the 15th
  4. 2 hours on the 23rd
  5. 1 hour on the 28th

Using the formula, you get: 

Total Downtime = 2 + 1.5 + 3 + 2 + 1 = 9.5 hours

Number of Incidents = 5

MTTR=  9.5 hours/5 = 1.9 hours MTTR

This means, on average, it took 1.9 hours to rectify a failure every time the website went down during that month.

Renewal Rates

Renewal rates, especially in the realm of SaaS (Software as a Service) businesses and subscription models, act as key indicators of customer satisfaction.

While not directly tied to uptime, they offer insights into the customer experience.

A low renewal rate might hint at underlying issues, such as frequent downtimes, affecting user experience. 

A study by Zippia found that a 5% increase in customer retention can lead to a 25% to 95% increase in profits, highlighting the importance of maintaining a high renewal rate and the potential indirect link to uptime.

Satisfaction Scores

Satisfaction scores, such as Net Promoter Score (NPS) or Customer Satisfaction Score (CSAT), provide businesses with a pulse on their customers’ contentment levels. A dip in satisfaction scores often follow system downtimes. 

For example, if users are consistently facing accessibility issues, their satisfaction scores are likely to plummet. 

Research published on Research Gate shows that every 1% improvement in the satisfaction score can lead to a 2.37% increase in ROI and revenue, highlight the close relationship between satisfaction and system reliability.

On the other hand, a 1% decrease in customer satisfaction leads to a 5.08% decrease in ROI.

How to Ensure 99.9% Uptime

According to Zendesk, “73% of consumers will switch to a competitor after multiple bad experiences.”

Repeated outages would certainly qualify as bad experiences and stress the importance of investing in reliable uptime to avoid lost sales and retain loyal customers.

But consistently achieving 99.9% uptime is no easy task.

It requires a blend of technology, strategy, and proactive monitoring. 

To get you started, here are some key actions to achieve this: 

1. Investing in top-notch hosting solutions

Your hosting provider plays a pivotal role. Providers with a track record of consistent uptime, backed by genuine user reviews and industry recognition, are a safe bet.

2. Regular and proactive monitoring

Using tools like UptimeRobot for website monitoring to actively monitor your website’s health and send alerts for potential downtimes can help you address issues as soon as they come up.

3. Routine maintenance and backups

Scheduled maintenance, coupled with frequent backups, ensures that even if things go south, recovery is quick and easier.

4. Implementing a Content Delivery Network (CDN)

A Content Delivery Network (CDN) efficiently disperses your website’s content across a network of servers worldwide. This strategic distribution safeguards your website’s availability, even if one server experiences difficulties.

While this enhances loading speed and minimizes latency, it’s important to note that CDNs are primarily designed for serving static content such as images, CSS, and JavaScript. If your website is dynamic, such as an e-commerce platform powered by WordPress, relying solely on a CDN won’t ensure continuous operation in the event of backend server or database failures.

5. Diversifying DNS providers

Relying on a single DNS (Domain Name System) provider can be a point of failure. By using multiple DNS providers, you’re safeguarding your website from potential outages that can occur if one DNS provider goes down.

For example, when Dyn, a major DNS provider, suffered a massive distributed denial-of-service (DDoS) attack in 2016, websites that relied solely on Dyn for their DNS services were affected, while those that had diversified their DNS providers were better positioned to remain accessible during the outage.  

Final Thoughts

Uptime is the heartbeat that keeps businesses alive and thriving. The ripple effect of even a minor downtime can lead to lost revenues, a loss of customer trust, and a damaged brand reputation. 

But understanding the details of uptime, availability, and associated metrics in the online business world isn’t just about number-crunching. It’s also about ensuring a smooth, continuous experience for every user.

Whether you’re reaching for the elusive Five Nines or simply working to maintain a consistent online presence, every second counts. Equip yourself with the knowledge, tools, and strategies shared here, and you’ll be well on your way to establishing a reliable digital footprint that keeps customers coming back for more.

Written by Diana Bocco

Copywriter | LinkedIn

Diana Bocco is a writer specializing in turning SaaS jargon into snappy, marketable content. As a freelance writer and copywriter, she's teamed up with some of the coolest brands in the SaaS, B2C, and marketing sectors, including UptimeRobot. Diana's specialty? Taking a brand's story and expertise and shaping it into content that drives traffic, generates valuable leads, and builds a tight-knit community.

Along the way, she's picked up tricks on what makes content click with readers, no matter the industry. These days, Diana's focus is the B2C, SaaS, AI, and HR tech scenes. She loves making messages feel personal and giving brands a genuine voice, even in spaces where it seems hard to find.

Diana also writes about travel and the joys of living with pets. Her work has appeared in many major websites and magazines, including Yahoo!, National Geographic, Business Insider, Forbes, and more. When she’s not glued to her laptop writing, you’ll likely find her immersed in photography, nose-training (and competing) with her dog, or engaged in animal rescue and fundraising.

You can read more from Diana on:

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Our content is peer-reviewed by our expert team to maximize accuracy and prevent miss-information.

Fact checked by Alex Ioannides

Head of DevOps | LinkedIn

Alex is a seasoned professional with a natural knack for problem solving. He is currently serving as the Head of DevOps at itrinity, where he oversees the operations of all portfolio products, namely UptimeRobot, Mangools, EmailListVerify, and WarmupInbox. His role involves ensuring the seamless operation and ongoing improvement of these platforms.

Prior to his tenure at itrinity, Alex founded FocusNet Group and served as its CTO. The company specializes in providing managed web hosting services for a wide spectrum of high-traffic websites and applications.

One of Alex's notable contributions to the open-source community is his involvement as an early founder of HestiaCP, an open-source Linux Web Server Control Panel.

At the core of Alex's work lies his passion for Infrastructure as Code. He firmly believes in the principles of GitOps and lives by the mantra of "automate everything". This approach has consistently proven effective in enhancing the efficiency and reliability of the systems he manages.

Beyond his professional endeavors, Alex has a broad range of interests. He enjoys traveling, is a football enthusiast, and maintains an active interest in politics.

3 replies on “How to Calculate Uptime? And 5 Tips for Achieving 99.9%”

Interesting how 6 seconds a week of downtime will cause 26 minutes a month of downtime. I’d recommend to double check your math there.
“Weekly: 6.048 seconds
Monthly: 26.28 minutes”

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