Application programming interfaces (APIs) serve as the backbone of today’s digital economy. They connect applications and web services with each other to exchange information and deliver thousands of digital experiences to users every day. With such significance, APIs can’t afford to be buggy, and software testers must frequently test them to identify and address potential issues. However, there’s a catch. Sometimes an API is not fully developed, or is simply too expensive to access.
Excellent performance is key for any application, regardless of the framework or language. Today’s digital consumers demand speed and precision, and will quickly quit a sluggish app. That's why performance monitoring, especially Real User Monitoring (RUM), is important for every developer to implement. We recently launched RUM for BugSnag, providing developers the visibility they need to ensure great application performance.
In today's digital landscape, data reigns supreme, shaping every facet of modern life. From personal pursuits to corporate endeavors, data's significance is undeniable. Its pivotal role spans industries, driving informed decisions and fueling efficient operations. Businesses harness data's power to decipher trends, understand customers, and adapt strategies. Effective data management, epitomized by Database Management Systems (DBMS), is essential.
Java performance optimization is crucial for several reasons. First and foremost, it directly impacts the user experience. Faster and more responsive applications lead to a better user experience, reducing loading times and response delays. Users expect applications to be snappy and efficient, and optimization helps achieve this, enhancing user satisfaction.
We live in a highly interconnected world, and that interconnectedness couldn’t have existed without the tremendous contributions from the telecommunications industry. With 5G technology finally becoming mainstream, IoT growing at a rapid rate, and AI tech gaining prominence, the telecom industry is surely up for an exciting future. This faster-than-ever growth comes with the need for robust, continuous telecom testing to always maintain a high standard of service quality.
In Part One of our “Inside Flink” blog series, we explored the critical role of stream processing and why developers are increasingly choosing Apache Flink® over other frameworks. In this second installment, we'll showcase how innovative teams across every industry and size are putting stream processing into practice – from streaming data pipelines to train ML models or more timely analytics to fraud detection in finance and real-time inventory management in retail.
