Operations | Monitoring | ITSM | DevOps | Cloud

“Morning, mate,” I greeted Dinesh as he walked into the office. “Nice get up for the big day!” He was wearing a pressed shirt, rather than his usual hoodie. “Thought I’d make an effort, you know,” he grinned. We’d been planning intensely for this moment for the last week or so – our meeting with Charlie, the CIO, to present the results of our Moogsoft experiments and ask for permission to extend the rollout across the enterprise.

Since 2009, Juju has been enabling administrators to seamlessly deploy, integrate and operate complex applications across multiple cloud platforms. Juju has evolved significantly over time, but a testament to its original design is the fact that the approach Juju takes to operating workloads hasn’t fundamentally changed; Juju still provides fine grained control over workloads by placing operators right next to applications on any platform.

Towards the end of 2016, it all started with developing a simple platform to manage Microsoft Azure Service Bus namespaces. The then classic Azure portal had limited capabilities to manage Azure Messaging resources like Service Bus Queues and Topics. Paolo Salvatori developed and managed a community tool called Service Bus Explorer. We identified that there are some challenges or limitations in managing and monitoring Azure Messaging resources using the above two.

Today we will install Ruby on Rails (RoR) on a Debian Linux operating system (Ubuntu 18.04 LTS). With that said, RoR is compatible with other operating systems with just a few tweaks. This blog will assist you in installing RoR with a simple step-by-step process. Your installation may differ, for other operating systems refer to this site. I am new to developing and have been using Ubuntu 18.04 LTS, a flavor of Debian Linux, for my projects.

Codefresh is an awesome platform for doing GitOps deployments to Kubernetes. Starting last year, the Codefresh team has been adding rich integrations with Argo CD and Argo Rollouts, GitOps observability dashboards, and more. Codefresh pipelines, in particular, have played an integral role in our customers’ progressive delivery workflows by allowing them to orchestrate all of the testing, analysis, and rollback activities that work in conjunction with Argo CD synchronization.

In this series, we’ve introduced key HashiCorp Vault metrics and logs to watch, and looked at some ways to retrieve that information with built-in monitoring tools. Vault is made up of many moving parts, including the core, secrets engine, and audit devices. To get a full picture of Vault health and performance, it’s important to track all these components, along with the resources they consume from their underlying infrastructure.