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.

Much has changed in recent decades. Data analysis code that had to be custom-developed decades ago is now available in software libraries such as Python’s NumPy and SciPy. Similarly, modern data display libraries available, for example, Matplotlib. This code is well tested and verified by a large user community. By utilizing these libraries, developers can simply call verified functions, rather than developing new custom code.

Meanwhile, Application Programming Interfaces (APIs) have immensely simplified the programming effort required to access large amounts of important data. In particular, JavaScript Object Notation (JSON) facilitates downloading data from APIs in a format that is easily ingested by most modern programming languages that are suited to data analysis, for example, Java and Python…

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

For your company to succeed, your API-based product must provide maximal performance and uptime to your customers. In order to provide this, you need to monitor the APIs (both internal and external) that are critical for your product’s customer experience. This series of posts illustrates how you can create a custom automated web site that […]

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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 […]

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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 […]

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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 […]

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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 […]

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Using Account Global Variables to Receive API Monitor Data in Specific Formats

My last post illustrated that calls to the World Bank Countries API can be configured to output the API data in multiple formats, including XML and JSON. The API Science platform supports the creation of global variables that are accessible by all API monitors in a user’s account. Global variables are defined and set using […]

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