Jamf’s first internal Data Science conference!
Jamf’s Data Science team was born with the acquisition of Wandera just over a year ago.
Jamf’s Data Science team was born with the acquisition of Wandera just over a year ago.
Recently one of our teams came across the new Shape Up methodology, and we decided to give it a try.
How we hooked the LoadLibrary function to check trust of loaded modules.
Learn how to prepare your projects and packages before the release of Swift 6.
Parsing the CoreDNS Corefile with Go Reflection.
How CQRS improved the loading time of a very slow web page.
Using sampling and Kafka to deliver measure activity on a high volume stream.
Learn how Jamf uses Gradle Enterprise to accelerate build and test performance.
We built a high performance distributed KV store and released it to the open source community.
Taking on such a massive rewrite is no easy task, but we found a way to make it work.
The more complex your application grows, the more complicated it is to find the root cause issues..
Our team needed to move to a multi-region configuration in AWS in order to provide better performance for our customers..
There are many use cases where applications have strong requirements on the reliability of processing Kafka messages.
At Jamf, we are maintaining several global DNS gateways tailored to various customers’ use cases.
Accurate classification of websites is vital at Jamf, since it supports several of our customer workflows.
How three lines of configuration solved our gRPC scaling issues in Kubernetes.
At Jamf, we are maintaining multiple global DNS gateways which are responsible for handling the DNS traffic of millions of devices using Jamf Security products.
Just before the start of summer, a prospect in the education sector decided to use our DNS-based solution to protect their students..
In Jamf we maintain several DNS gateways, which are used by our customers’ devices based on different use-cases.