A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL. Therefore, their data needs are often different from those of data analysts. In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases.

Back in December, Amazon Web Services (AWS) and Grafana Labs partnered to launch the Amazon Managed Service for Grafana in a preview to a limited set of customers. Amazon Managed Service for Grafana is a scalable managed offering that provides AWS customers a native way to run Grafana directly within AWS alongside all their other AWS services.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week we explore the rising scope of location intelligence in improving the overall customer experience.

In the last blog post, I walked you through how to connect to the Microsoft Graph API so you can start pulling in the M365 analytics to create a dashboard in SquaredUp. In this blog post, I’ll walk you through exactly how to create this dashboard. This dashboard will allow you to monitor key metrics for Microsoft 365 SharePoint, Exchange Online, and Teams so you can be proactive in assigning storage.

APIs are the backbone of software products. Whether the APIs are customer facing or for internal use, making sure that your APIs are up and running is crucial. In this post, we will see how to get started with API monitoring with Checkly.

Starting today, Honeycomb’s Management API is generally available to all Honeycomb users. The Honeycomb Management API is a set of endpoints that lets you programmatically set up, configure, and delete queries, datasets, derived columns, and more. With this release, you can now manage Honeycomb with configuration as code either directly via API or with third-party tools, like Terraform, using the community-contributed Honeycomb provider.

Why we felt there was a need for a full stack open source observability platform and how we went about building it.

Large amounts of data no longer reside within siloed applications. A global workforce, combined with the growing need for data, is driving an increasingly distributed and complex attack surface that needs to be protected. Sophisticated cyberattacks can easily hide inside this data-centric world, making traditional perimeter-only security models obsolete.

Now that we’ve familiarized ourselves with the basics, let’s get on creating our first dashboard! I spot an familiar tile here, the WebAPI tile. This tile is available in the SquaredUp SCOM and Azure products too. WebAPI tile is the way you bring external data into SquaredUp. As long as the tool you’re connecting to has an API endpoint that returns data in JSON payload, you can work with that data to display the data in a dashboard in SquaredUp.

It’s incredibly helpful to be able to visualize the data produced by your organization’s M365 tenant so you can manage licenses, usage, capacity, and more. SquaredUp dashboards are ideal for this. You can use the WebAPI Tile in SquaredUp to connect to the Microsoft Graph API, which offers a broad set of functionalities for working with Azure via code. Microsoft 365 sits on top of Azure and can be managed via Graph API, too.