Status Page – a service status page that displays the current status of the platform, possible technical updates, incidents, and their resolution history. Here you can view real-time status information and updates for all WhiteBIT systems and services. This allows you to quickly assess the stability of the exchange.
The page consists of the following sections: status, events and monitors.
Status
At the top of the “Status” section there is an indicator that shows the general status of all systems and the time of information update (GMT+0). Below is information about the status of services such as the frontend, public API, and blog for the past 45 days. For convenience, the statistics are presented as a bar graph, with each day representing a separate element. Green indicates normal (stable) service operation, while blue indicates the presence of technical updates. Hovering over each element displays:
- date;
- operational status;
- time period;
- information about updates and failures, if any, their time and duration.
Opposite each scale on the right are percentage indicators of service stability, which reflect the level of their availability, uninterrupted operation, and quality of work during the specified period of time. These metrics demonstrate how reliably the company's services functioned, how long they remained available to users, and how frequently failures or interruptions occurred. For example, an availability rating of 99.9% means that the service operated reliably almost all the time, and any interruptions were minimal and had little impact on the user experience. High percentages indicate the effectiveness of the technical infrastructure, prompt incident response, and the maintenance of stable system operation in accordance with the company's quality standards.
Events
The "Events" section displays maintenance reports and information. Here you can see the date, duration of the service, and released updates.
Monitors
The “Monitors” section presents information in the form of graphs for services such as the frontend, public API, and blog.
Understanding p50, p75, p90, p95, and p99 Latency Metrics
These terms are commonly used to describe latency metrics - the time it takes for a system or service to respond to requests. Numbers such as p50, p75, p90, p95, and p99 represent percentiles, providing a clearer picture of the response time distribution.
Percentiles are statistical metrics that indicate what percentage of data lies below a certain value. They are often used in performance analysis (latency, load time, speed) to evaluate the actual user experience.
Explanation of the main percentiles:
- P50 (Median) – average value. 50% of users get results faster than this value, and 50% get results slower. This is the "typical" condition.
- P75 is a level at which 75% of the data lies below this value, and 25% above.
- P90 is an indicator that covers the vast majority (9 out of 10). 90% of the data is faster than this value, 10% is slower.
- P95 (Limit of Normal Experience) is a measure of how the system performs for most users under normal conditions. 95% of results are within this value or faster, and only 5% are outside this value.
- P99 (Tail of distribution) – shows the worst 1% of results (significant delays or extremes). These are usually critical failures or errors, and if this indicator is bad, most users will complain.
On each chart, you can select a percentile and view the corresponding chart for the last 24 hours. Hovering over the chart displays more detailed information, including date, time (GMT+3), percentile, and milliseconds.
By clicking on the graph, you can see separate graphs with information about:
- global latency (the aggregated latency from all active regions based on different quantiles);
- regional latency (region latency per p75 quantile, sorted by slowest region. Compare up to 6 regions);
- uptime (total uptime, main values of uptime and availability, transparent).
Also on the "System Status" page, at the top right, there is an "Get updates" option, which allows you to receive updates in a way that's convenient for you - via email, Slack, RSS, or JSON.