South Jordan, UT, USA
Jun 25, 2019 | By Keilan Jackson
Getting started with Kubernetes is really easy. In just a matter of minutes you can set up a new cluster with minikube, kops, Amazon EKS, Google Kubernetes Engine, or Azure Kubernetes Service. What isn’t so easy is knowing what to do after you set up your cluster and run a few apps. One of the most important parts of setting up a Kubernetes cluster is to make sure your cluster is secure. In this blog post, we will go over some of the strategies you can use to help secure your Kubernetes cluster.
Jun 11, 2019 | By Keilan Jackson
Running docker images in Kubernetes is a great way to run your application in an easily scalable way. Getting started with your first Kubernetes deploy can be a little daunting if you are new to Docker and Kubernetes, but with a little bit of preparation your application will be running in no time. In this blog post we will cover the basic steps needed to build Docker images and deploy them to a Kubernetes cluster.
Jun 4, 2019 | By Matthew Barlocker
There are a few, simple things in life I really, truly enjoy: a full breath of air, watching my kids learn and grow, and playing the piano immediately come to mind. I was reminded of another one after spending an hour with CameronB from DevOpsChat — full understanding of a complex problem. For me, it’s not finding a fix that works, I have to continue until I understand the underlying issues, but then it’s bliss.
Jun 6, 2019 | By Blue Matador
Monitoring freeable memory will help you know when it is time to scale your Amazon RDS cluster. Freeable memory is not reported by the database, but rather by the OS. Freeable memory is the combination of unused and temporarily used memory. It is the memory that the system can grant without adverse effects. When an Amazon RDS instance runs out of freeable memory the OS may do up to three things.
Jun 3, 2019 | By Blue Matador
RDS is Amazon's managed relational database service. While RDS manages your databases maintenance, uptime and upgrade it is your responsibility to determine the cluster's scale and capacity. So the big question is when do you need to scale up? To answer this question you should understand and monitor seven metrics for each server in your cluster. They are: Database connections, Freeable memory, CPU credit balance, Free local storage, Replica lag, Commit latency, Select latency
Apr 24, 2019 | By Blue Matador
A common problem with Amazon CloudFront and Amazon S3 hosting deals with negative TTLs. Matthew from Blue Matador outlines the steps needed to correct this problem. Understand eventual consistency in S3. New items may take time to propagate through redundant systems and be available in all locations., Understand CloudFront's default policy for handling errors, like 403 forbidden, is to cache that error for 5 minutes., The solution is to modify distribution settings in CloudFront.