It’s here! The Kong Gateway Operator release we teased at API Summit is now available for you all to use. KGO 1.4 allows you to configure Kong Konnect using CRDs, attach your DataPlane resources to Konnect with minimal configuration, and even manage the deployment of custom plugins using Kubernetes CRDs. Keep reading to find out more.

Push notifications play an important role in user engagement and retention in your mobile app, keeping users up to date and creating a sense of urgency that leads to purchases. And in Android, we get the added benefit of Firebase Cloud Messaging (FCM) notification service, which acts as a middleman between the app server and the user’s Android device. It helps the delivery of push notifications, even if the app is not active or the user is using a different app on their device.

Learn how Fivetran’s Hybrid Deployment helps enterprises conquer data silos, achieve security and build a strategy for future growth.

The rise of AI has transformed how businesses operate, creating a surge in demand for AI-driven APIs, particularly those that leverage Large Language Models (LLMs). These APIs are at the heart of many modern applications, driving automation, customer interaction, and sophisticated data analysis. However, with this increased use comes a need for organizations to effectively monitor and manage the costs and consumption of these APIs.

Are you ready to step into the digital world where the possibilities are boundless and the pace is exhilarating? The world is indeed embracing the digital revolution with open arms, and the gateway to this extraordinary universe lies in the palms of our hands. Yes, you guessed it right! Smartphones and mobile devices have become an integral part of our lives. As a result, this has led to the significant popularity of app development among businesses.

Modern organizations generate and collect vast amounts of log data each day from an ever-increasing number of sources that includes IT infrastructure, networking devices, applications, cloud services, security tools, and more. This data is essential for powering use cases from security operations and threat hunting to application performance monitoring, but tapping into the full potential of log data can be challenging for organizations without the right tools and capabilities.

They say with great power comes great responsibility. As GenAI and machine learning technologies gain prominence, the need for AI governance – structures and policies that ensure AI is used ethically, responsibly, and transparently – has become critical to long-term success. The stakes are high, and in today’s tech ecosystem, the absence of responsible AI governance could be a company’s undoing.

As customer expectations evolve, contact centers face an immense challenge: turning massive volumes of interaction data into meaningful insights. Traditional performance management systems often fall short of fully capturing the nuances of customer conversations and employee performance, limiting their ability to provide actionable insights. But what if every interaction could be harnessed to improve customer satisfaction, reduce operational redundancies, and prevent customer churn?