When it comes to developing, deploying, and maintaining a truly powerful application, performance needs to be a top priority.
But that performance isn't only limited to the software your team builds and maintains. Moreover, the performance of an application depends on the performance of the APIs that power it.
SmartBear Software recently released the results of a global API survey, which includes responses from more than 2,300 software professionals in over 50 industries, across 104 countries around the globe.
The report included input from both API providers — organizations that develop and deploy APIs — and API consumers — organizations that use APIs to power their applications or internal systems.
When Asked: Why Do You Consume/Use APIs?
■ 50% said they use APIs to provide interoperation between internal systems, tools, and teams
■ 49% said they use APIs to extend functionality in a product or service
■ 42% said they use APIs to reduce development time
■ 38% said they used APIs to reduce development cost
It's clear to understand the impact that poor API performance could have on any of these use cases. Which is why it's not surprising that, when asked about how they would react upon encountering an API quality or performance issue, one-third of consumers said they would consider permanently switching API providers.
Whether you work in an organization that develops APIs, or have tools and systems that depend on APIs — performance should matter to you.
How Can You Ensure API Performance?
Just like you use tools to test and monitor your application, you also need to invest in the right tools for testing and monitoring your API. Whether you're launching an API of your own, or are concerned about the third party APIs that power your applications, you need to understand how your APIs are performing. You also need to understand the capacity of these APIs so that you can determine the amount of volume your applications can handle and adjust as necessary.
In most cases, ensuring API performance begins with load testing your API to ensure that it functions properly in real-world situations.
By utilizing specialized testing software, load testing allows testers to answer questions like:
"Is my system doing what I expect under these conditions?"
"How will my application respond when a failure occurs?"
"Is my application's performance good enough?"
But if you're performance strategy ends there, you could still be at risk of costly performance problems. This is where monitoring comes in.
API monitoring allows you to determine how your APIs are performing and compare those results to the performance expectations set for your application. Monitoring will enable you to collect insights that can then be incorporated back into the process. Once you've created your monitors and established your acceptable thresholds, you can set up alerts to be notified if performance degrades or the API goes offline.
Monitoring is Critical for Identifying and Resolving API Performance Issues
One of the key findings from the State of API 2016 Report is that a majority of API providers still face setbacks when it comes to resolving API performance issues.
Less than 10% of API issues are resolved within 24 hours. Nearly 1-in-4 API quality issues (23.9%) will remain unresolved for one week or more.
The biggest barrier to resolving API quality issues is determining the root cause (45.2%), followed by isolating the API as being the cause of the issue (29%).
A premium synthetic monitoring tool enables you to monitor your internal or 3rd party APIs proactively, from within your private network or from across the globe. A monitoring tool will help you find API and application issues, engage experts in a timely manner and fix issues before they impact your end users. If you are using external 3rd party APIs for your mission critical applications, a tool can help you monitor SLAs and hold your vendors accountable in case of unavailability or performance degradations.
Priyanka Tiwari is Product Marketing Manager, AlertSite, SmartBear Software.
The Latest
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...