As DevOps practitioners, we’re often challenged to justify what’s considered “additional effort” to automate deployments and operational tasks, particularly when starting new projects that may have dependencies on initial environments and infrastructure to get data or application workloads enabled for…
Read More >In my previous blog, “What’s the Measure of a Maturity Model?”, I discussed the idea that a maturity model may be inherently flawed in its focus, which measures the qualitative characteristics of the process against an idealized model of maturity instead…
Read More >In the Cloud Ops line of business at Pythian, a key area of concern for our team is maturity, and over the course of this year I’ve been asked to put thought and effort into the development of a maturity…
Read More >What’s Airflow? Apache Airflow is an open source scheduler built on Python. It uses a topological sorting mechanism, called a DAG (Directed Acyclic Graph) to generate dynamic tasks for execution according to dependency, schedule, dependency task completion, data partition and/or…
Read More >Kevin Pedersen, Team Manager, Service Reliability Engineering at Pythian, provides some considerations to keep your Terraform environment manageable.
Read More >Kevin Pedersen, Team Manager, Service Reliability Engineering at Pythian, discusses creating a repeatable test environment with Terraform and Chef-solo.
Read More >Of course, everyone knows Hadoop as the solution to Big Data. What’s the problem with Big Data? Well, mostly it’s just that Big Data is too big to access and process in a timely fashion on a conventional enterprise system….
Read More >