Dynatrace : What is API monitoring? – Marketscreener.com

Modern applications-enterprise and consumer-increasingly depend on third-party services to create a fast, seamless, and highly available experience for the end-user. Due to this growing complexity, it has become absolutely critical – and somewhat difficult – for IT staff to make sure these services are running and communicating as intended. As a result, API monitoring has become a must for DevOps teams.
So what is API monitoring? To answer that, it helps to understand what an API is. An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. APIs each have a web address, known as an API endpoint, and serve as the channel by which a consuming application and API communicate.
API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. If an application is running slowly, you must first understand the cause before you can correct it. Modern applications use many independent microservices instead of a few large ones, and one poor-performing service can adversely impact the overall performance of an application. In addition, isolating a single poor-performing service among hundreds can be a challenge unless proper monitoring is in place. This makes API monitoring and measuring API performance a crucial practice for modern multicloud environments.
API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing.
To understand the importance of API monitoring, consider a website that provides weather information. That site uses APIs provided by a weather forecasting service. If that API is slow, then Web pages that display weather information will load slowly and may even fail and cause user frustration.
In addition to performance monitoring, your team may want insights into how developers are using APIs, such as which functions are most frequently used. This can provide a better understanding of areas that need improvement or updating. For example, some developers may be using an old version of an API that will soon be deprecated. If this were the case, IT teams would need to plan to migrate to the newest available version of that API.
API monitoring is especially important when using third-party components, such as payment services, customer relationship management services like Salesforce, and internal services provided by other teams within an organization for specialized internal processes. The growing popularity of these highly modular third-party services is driving the need for better monitoring solutions.
In addition, API monitoring can provide information on the extent to which business functions depend on APIs as well as the impact of using those APIs on business objectives and key performance indicators (KPIs).
When monitoring, it’s important to track metrics that describe the vital aspects of an application’s performance. When it comes to APIs, some important metrics include the number of calls to API functions, the time to respond to API function calls, and the amount of data returned.
There are two predominant methods of API monitoring: synthetic monitoring and real user monitoring (RUM).
Synthetic monitoring is an application performance monitoring practice that emulates the paths users might take when engaging with an application. Synthetic monitoring can automatically keep tabs on application uptime and tell you how your application responds to typical user behavior, and it uses scripts to generate simulated user behavior for various scenarios, geographic locations, device types, and other variables. Once this data has been collected and analyzed, a synthetic monitoring solution can give you crucial insights into how well your app is performing.
Similarly, RUM provides valuable insights into an application’s usability and performance, but it does this by observing the actual experiences of end-users. RUM is more than a simple data sample. It captures every aspect of a customer’s interaction or transaction, allowing developers to visualize their entire journey within the app and resolve issues quickly with real-time data. This monitoring method provides full-stack observability for the end-user experience, eliminating blindspots that impact business performance and allowing for wise decision-making across development.
While synthetic monitoring and RUM gather their insights in different ways, they both facilitate a smoother application development process and end-user experience. When used together for API monitoring, they can provide more complete visibility of your API performance.
While API monitoring helps you understand the performance of APIs in a production environment, you’ll also want to be aware of any problems associated with your APIs before the application is released. This is done through testing.
Using agile methodologies, developers are constantly updating code and integrating it into production services. This practice comes with the risk of introducing new bugs, so it’s important developers test code before it’s released to production – something developers routinely do for the code they develop (a practice that should also be done for third-party APIs). If there’s a problem during testing, developers can quickly identify the root cause by looking at the differences in code between the last stable release and the release that produced the issue.
Both testing and monitoring play vital roles in the development of quality applications. Testing helps prevent bugs from being released into production code while monitoring helps to identify failures or performance issues when code is running in production.
When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities. Look for key features, including:
The best way to understand how your customers are using and experiencing APIs is to collect data about and track every user-API interaction – automatically. If you were interested in aggregate measures, such as the average response time to an API function call, then missing a small number of outliers in a large sample may not materially impact the quality of the results. However, if you want to trigger an alert based on an outlier, such as a sudden spike in latency in one region or for a single customer, then sampling may not provide the alerting system with the data it needs to perform its job.
RUM, with comprehensive, real-time data collection and analysis, not sampling, provides a view into what customers are experiencing. This is needed to identify and remediate failures and slowdowns as soon as they occur. Synthetic monitoring is helpful when developing a baseline of performance. For example, API calls in one geographic region may be consistently slower than calls in another region. This may be due to the implementation choices of the API provider and not something that will likely change in the near future. In that case, you can plan accordingly and limit the use of API services in that region or adjust your alerting thresholds to account for the longer latency in regions with poorer performance.
With its AI-to-everything approach, the Dynatrace Software Intelligence Platform provides API monitoring capabilities, including multi-request HTTP monitors and detection of impacting third-party API calls with RUM. This approach delivers a comprehensive view into the state of your API usage that’s essential to ensure the high availability and consistent performance your customers expect.
To learn more about performance monitoring in your organization’s hybrid multicloud, check out our on-demand webinar Network & infrastructure performance monitoring of your hybrid multi-cloud, and begin your journey to full-environment observability today.

Attachments
Disclaimer
Dynatrace Inc. published this content on 04 October 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 04 October 2021 07:44:40 UTC.

source