This video explains Edge Flow Manager (EFM) integration with Prometheus and Grafana. After installing and configuring Prometheus to scrape, EFM should also be configured to expose metrics. When the time series are in place, Grafana is also installed and configured to visualize exposed metrics. There are some EFM specific Grafana dashboards that are publicly available that can be easily downloaded and imported to Grafana. When everything is configured correctly agent specific dashboards can be accessed from the EFM UI.

Ably CTO James Aley gives a quick overview of the Ably platform. Find out what Ably offers to software developers and infrastructure teams building and supporting realtime features and products for millions of users, ask your questions, and get answers live. Additional reading mentioned in the session: About Ably

How does Martin optimize data for business analytics? In this Serverless Expeditions Shorts, Martin describes how he leverages the power of BigQuery to efficiently run queries across millions of records to drive business decisions.

The increasing focus on privacy and data-related regulations makes strategic data governance a key asset for all organisations, particularly the data-rich financial services sector. Financial institutions must have a robust data strategy to navigate data protection regulations, such as GDPR in Europe, the Personal Data Protection Act (PDPA) in Singapore and Thailand, to remain successful in the regions where they operate and avoid implications arising from noncompliance.

Talend offers the most complete solution for your data and application integration projects with unified API development, application integration, data integration, and data quality. In this video, you will see how easy it is to create, document, test, and share APIs in Talend’s Data Fabric Platform.

In part 1, listen in as Wes talks through his day-to-day efforts at SAS.

In part 2 of our conversation with Wes Gelpi, Director of Research & Development at SAS, we dive into the importance and differences between data lakes, warehouses and virtualization.