Category Archives: Azure
Databricks Observability: Collecting Cluster Ganglia Metrics
Introduction This blog post is about a few host metrics like CPU and RAM usage and their importance in understanding cluster utilisation. The simple task of tracking them might turn into a non-trivial task if the number of clusters growing over time. The real challenge is to track such metrics for short-living job clusters. This […]
Databricks Certified Associate Developer for Apache Spark 3.0
A few days ago I passed this assessment and it was special for me due to a few factors. This is my first vendor-specific non-Microsoft certification. And this is the very first time when I must complete it fully online. In this post, I would like to cover those factors, so I hope it will […]
Azure DevOps for SQL Server DBAs. Part 3 – Continuous Delivery of SQL Agent Jobs
In this final post of the DBAs DevOps series, I would like to talk about the remaining piece of the puzzle – delivery of SQL Agent jobs using the pipeline. I will discuss various approaches that can be used and then perform a test drive of the metadata-driven way of delivering the jobs. Prerequisites An […]
Azure DevOps for SQL Server DBAs. Part 2 – Automating Deployments
In the previous post of the series – Azure DevOps for SQL Server DBAs. Part 1 – Creating a Database Project I’ve covered the very starting point – a transformation of a collection of the database objects into a solid deployable unit – the DacPac file. This post is the next logical step – how […]
Azure DevOps for SQL Server DBAs. Part 1 – Creating a Database Project
Azure DevOps as the tool and DevOps as the culture are hot topics these days. Traditionally, such methodology and related tools are heavily in use by developers. However, the tooling can also be helpful for operational roles, like SQL Server DBA. In a coming series of posts, I will do my best to show how […]