Istio is a service mesh that enables simpler networking, traffic management, service discovery, and monitoring for your Kubernetes clusters. It coordinates communications between your app's microservices, providing much more control than the plain Kubernetes Service model. - Source: dev.to / 1 day ago

Bart: You raise a crucial point about the human aspect. While we address technical challenges, the time spent resolving errors detracts from other tasks. The community has developed products and projects to tackle these concerns and costs. One such example is Istio with Ambient Mesh. Another approach is sidecarless service meshes like Cilium Cluster Mesh. Can you explain what Ambient Mesh is and how it enhances... - Source: dev.to / 7 days ago

AWS EKS provides a managed Kubernetes service, simplifying cluster management and deployment. Istio, an open-source service mesh, enables traffic management, security, and observability across microservices. - Source: dev.to / about 1 month ago

Istio is a popular open-source service mesh framework that provides a comprehensive solution for managing, securing, and observing microservices-based applications running on Kubernetes. - Source: dev.to / 2 months ago

Leverage a service mesh like Istio or Linkerd to manage communication between microservices within the Kubernetes cluster. These service meshes can be configured to intercept JMX traffic and enforce access control policies. Benefits:. - Source: dev.to / 3 months ago

It is hard to imagine any big and complex Rails project without background jobs processing. There are many gems for this task: **Delayed Job, Sidekiq, Resque, SuckerPunch** and more. And Active Job has arrived here to rule them all. - Source: dev.to / 7 days ago

Rollbar is a great error-tracking service. It alerts us on exceptions and errors, provides analysis tools and dashboard, so we can see, reproduce, and fix bugs quickly when something went wrong. This service has a possibility to log not only uncaught exceptions but any messages. By default, the messages are reported synchronously, but you can enable asynchronous reporting using Sidekiq, girl_friday, or Resque.... - Source: dev.to / 9 days ago

You can use a background job queue like Resque to scrape and process data in the background, and a scheduler like resque-scheduler to schedule jobs to run your scraper periodically. Source: almost 2 years ago

So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago

Background jobs are another limitation. Since only the Aha! Web service runs in a dynamic staging, the host environment's workers would process any Resque jobs that were sent to the shared Redis instance. If your branch hadn't updated any background-able methods, this would be no big deal. But if you were hoping to test changes to these methods, you would be out of luck. - Source: dev.to / about 2 years ago