Did you know that 70% of mobile app users will abandon an app if it takes too long to load, while 57% will consider switching to a competitor after just 3-4 negative interactions with a company’s website or mobile app?

In the early days of web application development, monolithic frontends and backends were perfectly fine. But the emergence of the cloud has changed expectations. Developers want to build applications that exchange information with APIs (Application Programming Interfaces). Business owners want faster development times. End users expect zero downtime. This new paradigm enabled the rise of service-oriented architecture (SOA) and, along with it, microservices and web services.

Complex, evolving challenges in today’s enterprise IT environments require a proactive, strategic approach to plan for growth, minimize downtime and seamlessly adopt new technologies. Achieving operational excellence in IT operations is key to overcoming these challenges and enabling sustained business growth. Investing in skill development is also crucial for driving innovation and staying competitive in rapidly evolving technology landscapes.

Recap: This is the last part of our four chapters: It’s been a long time coming, but we’ve finally arrived at the fourth and final installment of our blog series. In this series, we’ve been peeling back the layers of Apache Kafka to get a deeper understanding of how best to interact with the cluster using producer and consumer clients. At a high level, a fetch request is comprised of two parts: Let’s dive in.

In the fast-changing landscape of mobile app development, delivering bug-free apps with a great user experience is essential. But crashes are inevitable, no matter how much developers try to avoid them. There are several mobile crash reporting tools that make the task of identifying, diagnosing and fixing these issues easy as pie.

In the fast-paced world of software development, ensuring top-notch quality is a must. One approach that has gained significant traction over the years is Exploratory Testing. Unlike scripted testing, exploratory testing focuses on real-time discovery, creativity, and problem-solving. In this article, we will understand exploratory testing, its benefits, techniques, and how tools like Keploy can support this process. Let’s get started!

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.

Do you have a DB2 database that needs a REST API? Now you can connect to your IBM DB2 with DreamFactory in just a few minutes. In this short blog post I’ll explain how you can connect to DB2 with DreamFactory’s auto-generated REST API for DB2.

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

Logs play a vital role in understanding how applications and systems perform, but unstructured log data can be hard to analyse. The Grok parser helps by converting raw logs into structured, readable formats. It is widely used for extracting information such as timestamps, error codes, and IP addresses from logs, making them easier to analyse and query.