Analyzing API Call Performance from Different Global Locations Based on cURL Metrics

My previous post presented “A Graphical View of API Performance Based on Call Location.” In that post, we analyzed the performance of a week of calls to the World Bank Countries API (which is served from Washington DC) from four different locations around the globe: Washington DC USA, Oregon USA, Ireland, and Tokyo Japan. The API performance across the week showed remarkable consistency. Calls to the API from Washington DC had by far the best performance; calls from Ireland generally outperformed calls from Oregon, which generally outperformed calls from Tokyo. Here’s the data for the week (the Y axis is logarithmic)

Continue reading

A Graphical View of API Performance Based on Call Location

The performance of APIs is dependent on both the processing time from when the API receives a request and delivers a response, and the time it takes for the request and response data packets to traverse the Internet distance between the calling system and the system that hosts the API. The timings for calls to […]

Continue reading

How to Create an Automated Custom Web Site that Displays API Uptime Data

Previous posts described how to use curl, cron, JSON, Python, matplotlib, and HTML to create an automatically-updated custom API performance web page. In addition to providing API performance data, the API Science API also provides uptime data for the APIs you monitor. In this post, I’ll demonstrate how to download API uptime data and create […]

Continue reading

With APIs and Software Libraries, How Much Code Is Needed to Create Something Immensely Useful? Not Much…

Your business likely requires customized views of the data that is core to the creation of your product. Decades ago, accomplishing this involved development of large data analysis software libraries that were customized to a company’s particular needs, along with user interfaces that enabled employees to view the data, so they could respond to anomalies. […]

Continue reading

How to Use MatPlotLib to Display API Performance Data

In my previous two posts, I illustrated how your team can Use cron and curl to Regularly Download API Performance Data and How to Use Python to Extract API Performance Data. In this post, I illustrate how you can use the Python MatPlotLib library to create plots of the downloaded data that will be of […]

Continue reading

How to Use Python to Extract JSON API Performance Data

In my last post, I described How to Use cron and curl to Regularly Download API Performance Data. This is the first step toward creating a view of API performance data that is customized for your company’s needs. Once you have the raw data, you can use your company’s preferred programming languages and the custom […]

Continue reading

How to Use cron and curl to Regularly Download API Performance Data

API performance is critical for modern applications. People use their phones and tablets to immediately access information that is relevant to what they’re doing or thinking about right now. If your company’s objective is to provide this information, then you need to know how your product appears to your customers. If your product relies on […]

Continue reading

How to Use Your API Science One-Month Free Trial (Part 3)

When you’ve created and configured your first API Science monitor, you’ll want to configure automated notifications to your team when something involving a critical external or internal API goes awry. You’ll also want to study the performance of your critical APIs using API Science reports. Configuring API Monitor Notifications While your customers access your product […]

Continue reading

British Army Utilizes APIs for Increased Logistic Efficiency

Large organizations that have existed for centuries have employed computer technology since its innovation. 50 years ago, large-scale organizations contracted developers to utilize 1960s software and hardware technology to create systems that advantageously advanced the accomplishment of their missions. In subsequent decades, this software was tuned for evolving situations. Along the way, errors identified in […]

Continue reading