Illumina Innovates with Rancher and Kubernetes
Introduction Kubernetes solves the problem of orchestrating containerized applications at scale by replacing the manual processes involved in their deployment, operation, and scaling with automation. While this enables us to run containers in production with great resiliency and comparably low operational overhead, the Kubernetes control plane and the container runtime layer have also increased the complexity of the IT infrastructure stack.
In order to reliably run Kubernetes in production, it is therefore essential to ensure that any existing monitoring strategy targeted at traditional application deployments is enhanced to provide the visibility required to operate and troubleshoot these additional container layers.
In this presentation by Rancher Director of Community Jason van Brackel, you will learn how to setup alerts with Rancher and Prometheus Alert Manager to find problems before there's an outage.
Database workloads that require fast recovery can't afford manual intervention. StorageOS engineers will highlight challenges running databases in StatefulSets and demonstrate how to solve them on Rancher.
In this session of the Kubernetes Master Class, you'll learn how to think about observability on Kubernetes, how to use that to troubleshoot problems, and how this applies to various tools including Datadog.
This training session will go over how to monitor the Site Reliability Engineering (SRE) Golden Signals in a Kubernetes cluster using Prometheus and Slack.
In this article, we talk about monitoring for scaling and life cycle management with the help of built-in tools like probes and horizontal pod autoscaler. A previous article covered monitoring and metrics for users using tools like the Kubernetes dashboard and cAdvisor. We will test each one of these tools to see what they offer and how they can help us.
In this article, we talk about monitoring Kubernetes with the help of built-in tools like the dashboard and cAdvisor. In part 2, we will cover scaling and life cycle management using other built-in tools like probes and horizontal pod autoscaler. We will then test each one of these to see what they offer and how they can help us.
Monitoring a Kubernetes cluster allows engineers to observe its resource utilization and take action when something goes wrong. This article explores what you should be monitoring and how to go about it with Rancher, Prometheus, and Grafana.
Leveraging Datadog with Rancher gives you a full stack view of your applications running on Kubernetes clusters, wherever they are hosted. Learn more.
This article series focuses on what metrics, tools, and best practices engineering teams need to know in order to successfully manage workloads on Kubernetes clusters at scale. If you're building a distributed system, releasing new features, and avoiding regression - this article is for you.
Container monitoring environments come in all shapes and sizes. Some are open source while others are commercial. Some are available in the Rancher Catalog while others require manual configuration. Some are general purpose while others are aimed specifically at container environments. Some are hosted in the cloud while others require installation on own cluster hosts.
In this post, we take an updated look at 10 container monitoring solutions. This effort builds on earlier work including Ismail Usman’s Comparing 7 Monitoring Options for Docker from 2015 and The Great Container Monitoring Bake Off Meetup in October of 2016.
On July 25th, Luke Marsden from Weaveworks and Bill Maxwell from Rancher Labs led a webinar on ‘A Practical Toolbox to Supercharge Your Kubernetes Cluster’. In the talk they described how you can use Rancher and Weave Cloud to set up, manage and monitor an app in Kubernetes. In this blog, we’ll discuss how and why Weave developed the best-practice RED method for monitoring apps with Prometheus.
What is Prometheus Monitoring?
Are you monitoring your containers’ resources in real time? If not, then you’re probably not monitoring as effectively as possible. In a fast-moving, dynamic microservices environment, monitoring data that is even seconds old may no longer be actionable. To prevent disruptions, you need real-time monitoring. In this post, I explain why real-time monitoring of container resources is important, and which types of container metrics you should focus on monitoring in real time.
If you use containers as part of your day-to-day operations, you need to monitor them -- ideally, by using a docker performance monitoring solution that you already have in place, rather than implementing an entirely new tool. Containers are often deployed quickly and at a high volume, and they frequently consume and release system resources at a rapid rate. You need to have some way of measuring container performance, and the impact that container deployment has on your system.
In the previous part of this series, we have seen how to deploy an Elasticsearch Cluster using Rancher Catalog. Now it’s time to make good use of this catalog, right?
Introduction As a reminder, Elasticsearch is the cornerstone of the ELK platform (ELK stands for Elasticsearch/Logstash/Kibana). In this article, we’ll deploy the stack using Rancher Catalog, and use it to track tags and brands on Twitter. Tracking hashtags on Twitter can be very useful for measuring the impact of a Twitter-based marketing campaign.
 *by Stefan Thies (@seti321), DevOps evangelist at Sematext. * [The Rancher Community Catalog just got two new gems - SPM and Logsene - monitoring and logging tools from ]Sematext[. If you are familiar with Logstash, Kibana, Prometheus, Grafana, and friends, this post explains what SPM and Logsene bring to the Rancher users’ table, and how they are different from other monitoring or logging solutions.]
Meet Sematext Docker Agent [Sematext Docker Agent] is a modern, Docker-native monitoring and log collection agent.
Monitoring your container-based infrastructure is crucial to ensure good performance, identify issues early and gain the insight necessary to maximize its efficiency. When you are dealing with a large number of often short-lived containers spread over multiple hosts and even data centers, understanding the operational health of your infrastructure implies the need to aggregate performance data from both physical hosts as well as the container cluster running on top of it.
 Chris Crane is VP of Product at Sysdig. [Here at Sysdig we build monitoring and visibility tools, specializing in Docker monitoring and containerized infrastructures. Our open source CLI tool, ][sysdig][, offers universal system visibility into Linux machines along with native support for Docker. And based on the same core technology, ][Sysdig Cloud][ offers the first and only comprehensive monitoring solution built from the ground up for containers and microservices.
Meetup Screenshot: Bill Maxwell Demonstrates Sysdig monitoring his Rancher environment Yesterday we hosted an online meetup with the team from Sysdig, in which we discussed best practices for Docker monitoring, and some of the unique challenges around applying monitoring policies to containers. Over the course of the meetup, we introduced Rancher and Sysdig, and demonstrated how we’re using Sysdig here at Rancher to manage our containers. The meetup included a number of presentations, and we’ve included the agenda below along with direct links to that portion of the meetup if you’d like to jump ahead at all.
I have already talked about several ways to monitor docker containers and also using Prometheus to monitor Rancher deployments. However, until now it has been a manual process of launching monitoring agents on our various hosts. With the release of the Rancher beta with scheduling and support for Docker compose we can begin to make monitoring a lot more automated. In today’s post we will look at using Rancher’s new \“Rancher compose\” tool to bring up our deployment with a single command, using scheduling to make sure we have a monitoring agent running on every host, and using labels to isolate and present our metrics.
I have blogged about monitoring docker deployments a couple times now (here & here), however, up to this point we have been monitoring container stats without looking at the bigger picture. How do these containers fit into a larger unit and how we get insights into the deployment as a whole rather than individual containers. In this post I will cover leveraging docker labels and Rancher’s projects and services support to provide monitoring information that understands the deployment structure.
In this article, Rancher compares seven Docker monitoring options and goes over some of the common tools used to monitor containers. Visit us to learn more.
Nagios is a fantastic monitoring tool, and I wanted to see if I could get the agent to run as a system container on RancherOS, in order to monitor the host and any Docker containers running on it. It turned out to be incredibly easy. In this blog post, I’ll walk through how to launch the Nagios agent as system container in RancherOS. Specifically, I’ll use two vagrant boxes to cover: