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Service Mesh: Istio vs Linkerd Comparison
Service meshes provide observability, security, and traffic management for microservices without application code changes. Istio and Linkerd are the leading optionsāboth mature and production-ready, but with different philosophies. This guide compares them across complexity, performance, and feature sets. Service Mesh Architecture flowchart TB subgraph Pod ["Application Pod"] App["Applicationā¦
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Hi everyone š Iām Monzoās Head of Engineering, and as I promised on Friday Iād like to share some more information about what happened during this outage. Because the nature of the issue was technical, this post is also quite technical. š¤ Itās important to note that we had two major incidents last week that many of you will have experienced (sorry again.) The first incident lasted most of the week and affected only our prepaid product ā ie. Monzo Alpha and Beta cards. The second ...
Monzo account payment failures root cause:
āAt this point, while weād brought our systems back online, we did not yet understand the root cause of the problem. The network is very dynamic in our backend because of deployment frequency and automated reaction to node and application failure, so being able to trust our deployment and request routing subsystems is extremely important.
Weāve since found a bug in Kubernetes and the etcd client that can cause requests to timeout after cluster reconfiguration of the kind we performed the week prior. Because of these timeouts, when the service was deployed linkerd failed to receive updates from Kubernetes about where it could be found on the network. While well-intentioned, restarting all of the linkerd instances was an unfortunate and poor decision that worsened the impact of the outage because it exposed a different incompatibility between versions of software we had deployed.ā
linkerād is a transparent proxy that adds service discovery, routing, failure handling, and visibility to modern software applications
Linkerd(linker-DEE) is an open source, scalable service mesh for cloud-native applications.
Linkerd was built to solve the problems we found operating large production systems at companies like Twitter, Yahoo, Google and Microsoft. In our experience, the source of the most complex, surprising, and emergent behavior was usually not the services themselves, but the communication between services. Linkerd address these problems not just by controlling the mechanics of this communication but by providing a layer of abstraction on top of it.
By providing a consistent, uniform layer of instrumentation and control across services, linkerd frees service owners to choose whichever language is most appropriate for their service. And by decoupling communication mechanics from application code, linkerd allows you visibility and control over these mechanics without changing the application itself.
Today, companies around the world use linkerd in production to power the heart of their software infrastructure. Linkerd takes care of the difficult, error-prone parts of cross-service communicationāincluding latency-aware load balancing, connection pooling, TLS, instrumentation, and request-level routingāmaking application code scalable, performant, and resilient.
#linkerd, a (scalable. of course) service mesh that speaks RPC, gRPC, TLS, etc. It's designed to abstract out the communications between such services in a multi-node environment, and thus deal with the emergent behaviors that arise (especially at scale). OK, it may not resolve *all* emergent behavior, but it'll certainly move the complexity one higher step in the food chain. Nifty!
