Outcold Solutions Blog
Release notes, implementation guides, and practical monitoring notes for Kubernetes, OpenShift, Docker, and Splunk.
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Docker UCP is the real king of orchestration, not only does it allow you to deploy workloads using docker-compose files,
including docker services and docker stacks, but also it runs Kubernetes control plane and allows you to deploy
Kubernetes Workloads.
With version 5.2 we are increasing observability of your clusters by providing you with information about Storage usage for mounts where you run your runtime (docker or kubelet) and helping you to react to the issues faster with pre-built alerts. We updated several control plane dashboards to help you resolve issues raised by alerts, and improved performance for the Overview dashboard, so you will be able to find workloads and pods quicker.
Are you attending Splunk .conf18 this year? Do you want to learn more about containers?
We are bringing network metrics and socket tables with the minor update Monitoring Docker, OpenShift and Kubernetes Version 5.1. This release also includes visual and usability improvements in the application, performance and stability improvements in collectord, and new configurations to dynamically discover metrics from Pods exported in Prometheus format.
We are happy to announce the 5th version of our applications for Monitoring Docker, OpenShift, and Kubernetes.
It is essential to know when the application generates a specific log message. Timestamps help us to order the events. And they help us to build a correlation between systems.
That is why logging libraries write timestamps with the log messages. When you write log messages to systems like journald or Splunk, every event has a timestamp. These applications parse the timestamp from the message or generate it from the system time. When you write logs to plain text files, you lose the information about when the application created these messages. This is why you tell loggers to identify every line with a timestamp.
We develop applications for Splunk. We develop applications for Splunk that allow you to monitor containerized applications. We develop these applications because we love containers. Of course, we use containers in our development workflow.
Today we are happy to share our development practices with you, the way we use Splunk Image and App Inspect to build our applications.
Getting logs and metrics in your Splunk cluster is just the first step to managing your logs. The next step is to build your own custom dashboard to be able to explore the data you forward to Splunk.
Congratulations to the AWS team for shipping such a great product. Based on the data provided by CNCF, more than half of all companies who run Kubernetes choose to do so on AWS. Managing the Control Plane is not the most straightforward task. EKS does that for you. The only thing that is up to you is to bootstrap worker nodes and run your applications.
At Red Hat Summit 2018, we presented our next version of the application Monitoring OpenShift in Splunk. We are happy to announce the GA of Version 4 of Monitoring OpenShift and Kubernetes. These applications are now certified by Splunk, and they are available on SplunkBase.
Outcold Solutions builds applications for Splunk Enterprise and Splunk Cloud. Our certified monitoring solutions, powered by Collectord, bring logs, metrics and events from Kubernetes, OpenShift and Docker clusters, Linux and macOS hosts, and Windows containers into Splunk, with the dashboards and alerts that help developers watch their applications and operators keep their clusters healthy. Our search apps query Kubernetes and AWS live from the search bar, with nothing to ingest, and OS AI Agent puts the model you choose to work inside Splunk, with each user's own permissions. Since 2017 we have been helping businesses keep what they need to answer complex questions about their infrastructure in one place.
