The financial services industry has built in more capital buffers to prevent market shocks from bringing another economic collapse. In addition to these financial controls, many banks and personal trading platforms have begun building resiliency into information technology shocks. Despite these new precautions, we’re still seeing outages today, preventing customers from depositing and withdrawing their money, completing transactions, and executing trades during key events.

Operations teams need to automate deployment of applications, and Helm is the industry-standard solution for deploying to Kubernetes. Like many software vendors, we provide Helm charts for installing Artifactory and other JFrog DevOps platform products, designed for the standard/recommended configurations most teams will need. These templates provide customers a limited set of configuration options.

Learning about the Icinga API can be an eye opening moment for some, and lead to a path of automation and configuration management. But where to start? Well, you can always check out the Icinga API documentation for that. But today, I have an idea for you – I’ll show you how to create a host through the Icinga 2 API.

Over the years there have been a bunch of great talks on site reliability and incident response. Below are a few we thought stood out(in no specific order) and is defintely worth a peek.

Do you have a big data center? Do you have terabytes of confidential data stored in that data center? Are you worried that your data might be exposed to malicious attacks? One of the most prominent security features of storage solutions is encryption at rest. This blog will explain this in more detail and how it is implemented in Charmed Ceph, Canonical’s software-defined storage solution.

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. For more on Kubeflow, read our Kubernetes for data science: meet Kubeflow post.

Information security (infosec) is a broad field. Its practitioners behave more like artists than engineers. After all, the mandate for security is not “do X”, but instead “ensure no one can do X, Y, Z, ɑ, β, ɣ, etc.”. The array of possibilities leading to infosec failure are vast. It’s like trying to prove a negative, thus making the task near impossible. On one hand we have an impossible task, on the other we have the affordance of time.

This is the second article of a two-part series. Click here for part 1 of the interview with Brian, Carrie, JP, and Zac to learn more about Twitter’s SRE journey. Previously, we saw how SRE at Twitter has transformed their engineering practice to drive production readiness at scale. The concept of service level objectives (SLOs) and error budgets have been key to this transformation, as SLOs shape an organization’s ability to make data-oriented decisions around reliability.

What does ‘diff’ mean in Git? In this beginner Git tutorial, we will walk you through the concept of a diff and the benefits of using a robust diff tool, like that offered in the GitKraken Git GUI.

You’ve put in the time applying for tech jobs and have made it to the daunting interview. You know they are going to ask you about Kubernetes, so make sure you are prepared. If you are completely new to Kubernetes we recommend you first read our Kubernetes pronunciation post, so you don’t really embarrass yourself, and then check out the Kubernetes glossary we created to help give you a decent Kubernetes foundation.