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Your employees interact with your IT on a number of disparate channels like emails and IT help desk portals. They demand instant resolution to their IT issues and you need a solution that can bring on-demand self-service support in the channels that your employees most use – be it Slack or Microsoft Teams. Watch this video to learn about Freshservice Virtual Agent and how it can empower you to provide a best-in-class digital experience to your employees with an intelligent and predictive conversational AI solution.

This command line tooling can download policy and modules from different sources and combine it into 1 policy set. The project is open source and available here: It can be installed via pip: You can start using it today, but it is still work in progress and some functionality is missing.

Watch our webinar on Freshservice alert management to learn more.

Here to bring you the latest news in the Cloud is Stephanie Wong.

We had an opportunity to connect with Daniele Fontani and discuss topics.

You have a load of time-stamped data coming in and you realize you need a time series database. But which one should you choose? Watch the video to find out! ABOUT AIVEN We help organizations fuel the continuous innovation needed to create awesome, data-intensive applications by using the leading open source technologies. After building expertise managing mission-critical data infrastructure for companies like F-Secure and Nokia, Aiven’s founders noticed that cloud adoption was increasing but infrastructure solutions were either proprietary or difficult to translate into business results.

Feature flags are enabling developers to deploy with confidence, safe in the knowledge that they can always disable buggy features in production without changing the code. While this increases the speed, stability, and frequency of software updates, it’s no magic trick and still requires planning in advance and using the right tools.

The current threat

In this hands-on webinar, we have covered the 4 core scaling methods you may use to increase or decrease your computing resources in Azure Kubernetes Service (AKS). This includes Manual scaling, Horizontal Pod Autoscaler (HPA), Cluster Autoscaler, and Event-Based Scaling.