Intro to Distributed Systems and traceability using Jaeger – Pt.2

To me, Traceability is basically logging but in a better and more structured context. In the first part of this series, we discussed the history of distributed systems and microservices, giving Amazon website as an example of how the microservices would look like and inter-communication between them all. Moving forward, what to use to debug a service request that goes through many microservices and you want to correlate all of the events and transactions that Weiterlesen…

Von Hesham Abo El-Magd, vor

Intro to Distributed Systems and traceability using Jaeger – Pt.1

“If I were given one hour to save the planet, I would spend 59 minutes defining the problem and one minute resolving it”  Albert Einstein once said that. Now imagine that this planet in this scenario is your system which you’re responsible for operating and maintaining the availability and durability of the system. Where probably a system contains several functions are communication to each other and you can’t possibly identify what went wrong or where. Imagine you just received an issue that a service Weiterlesen…

Von Hesham Abo El-Magd, vor

An introduction to Loki

Many enterprise customers are using ELK to store the logs from their Kubernetes clusters. Others are using solutions the cloud provider offers like Stackdriver or Cloudwatch. While ELK is difficult to configure and to operate, managed solutions are quite easy to use but they lead into a Vendor Lock-In. Both solution models are quite expensive if you want to store a big number of logs and if you have more than a few Kubernetes clusters. Weiterlesen…

Von Florian Stoeber, vor

HowTo: Use the Logging-Operator

Many people are leveraging fluentd, fluent-bit or the ELK-stack in combination with filebeat to collect their logs from Kubernetes clusters. These options are often complicated to configure or not flexible enough to use for different teams. We were looking for an easy way to collect our logs. Besides that, the customer wanted an option to do this, too. In the end we decided to use the logging-operator by banzaicloud. It is utilizing a DaemonSet of Weiterlesen…

Von Florian Stoeber, vor

Monitor your Multi-Cluster-Environments

While countless companies are starting to use Kubernetes to offer their services and applications, many are experiencing the classic problems of “Day-2 operations”: The systems are often not optimized, maintenance aspects are missing, or observability concepts are not sufficiently or incorrectly implemented. A common problem is that existing monitoring and logging solutions cannot be used, because they do not fit the requirements of distributed systems and Multi-Cluster-Environments. Problems of monitoring distributed systems But why is Weiterlesen…

Von Florian Stoeber, vor

Scale out your Raspberry-Pi Kubernetes cluster to the cloud

Using Gardener Machine-Controller-Manager and Tailscale to extend a local Raspberry-Pi K3s cluster with cloud instances. tl;dr watch the Video from Christoph presenting this solution at the Gardener Meetup Intro Like a lot of Kubernetes enthusiasts, I grabbed a couple of Raspberry Pis, followed the instructions of Alex Ellis, and created a K3s cluster. I don’t want to repeat this instruction here, Alex did a great job explaining how to prepare the Machines and a K3s Weiterlesen…

Von Christoph Voigt, vor