Systems | Development | Analytics | API | Testing

Like most enterprises, you are generating huge volumes of structured, semi- and unstructured data at edge devices, core data centers and even public clouds. How can you more easily manage your data across all your repositories and avoid delaying your applied use of analytics? Our answer is to weave a multicloud data fabric for you that simplifies connecting data repositories from the edge to the core and to the cloud. This helps you gain quicker business insights with a scalable and cost-effective approach. Join this session to get an in-depth view of our upcoming Lumada Data Services product vision and strategy.

Use Anodot to automatically monitor your Amazon Web Services Cost & Usage Reports and catch anomalous changes in your cloud costs.

On this installment of our series of live demos we discuss Cloudflare log analysis.

On this installment of our series of live demos we discuss Kubernetes log analysis.

On this installment of our series of live demos we provide a product overview.

In this video, you will learn how to write and run queries from BigQuery tables directly in the BigQuery web UI. Product: BigQuery; fullname: Alicia Williams;

How their tactical/strategic focus areas are evolving in these challenging times Cloud big data migration strategy, do's and don'ts Practical advice they can share for other leaders in the big data community How Unravel has helped DBS optimize their big data

Loadero performance and load testing service allows you to run end-to-end tests of your web service from a cloud-hosted infrastructure. Whenever you need to test smoothness of operation of your application for different browsers, locations or network conditions, test WebRTC app with simulated webcam and microphone inputs, load test with thousands of virtual participants or record your test run session for further analysis, Loadero got you covered with these and a lot other useful features.

We are happy to announce the much-anticipated Kuma 0.6 release! This new release ships with major improvements, especially when it comes to supporting service meshes that can span across multiple clouds, multiple Kubernetes clusters and hybrid platforms (Kubernetes + VMs) in enterprise environments. Join Kevin Chen, Developer Advocate at Kong, for a demo of the new features in this release including.