Systems | Development | Analytics | API | Testing

Budgeting and planning are the backbone of your organization’s success. However, manual processes, endless spreadsheets, and disconnected systems can bog down your finance team, creating bottlenecks that waste time and divert focus from strategic growth. To stay competitive, you need a smarter approach—one that streamlines workflows, enhances accuracy, and maximizes ROI.

The typical data engineer is balancing many priorities. In addition to the day-to-day tasks like pipeline construction, connecting sources, and establishing data trust and governance, pressure is increasing to contribute to the organization’s bottom line. This may happen by unlocking the full value of the organization’s data or devising ways to accelerate business outcomes. One way to accomplish both is through data products.

Earlier this year the Kong Konnect Analytics team was looking to leverage the stability and flexibility of our own Kong Gateway to handle the entire load of our Analytics ingest firehose. Almost all Konnect API traffic flows through a Kong Gateway and most of it has from the very beginning. For some legacy and differing protocol reasons, our Analytics ingest service was not included in our initial Kong Gateway configuration.

Video marketing is pretty much a requirement today. 91% of businesses made it a part of their content mix in 2024 and 90% reported a positive ROI. But you must be artful and strategic about how you use it. Like the purpose of other forms of content, video supports a larger objective for your brand and it can be used to refine your content strategy too. This guide digs into just that: how to use video analytics to improve your content strategy.

With the advent of modern Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has become a de-facto technology choice, employed to extract insights from a variety of data sources using natural language queries. RAG combined with LLMs presents many new possibilities for integrating Generative AI capabilities within existing business applications, specifically opening up many new use cases within the data streaming and analytics space.

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

Today, we are thrilled to unveil what our CEO Onur Alp Soner calls "not just a new version, but a new path forward" for Countly. As a leading digital analytics platform, we’re launching our most significant release to date, featuring two transformative tools—Journeys and Content Builder—crafted to redefine how you engage and personalize experiences for your customers. ‍