Ask Sendai

Waze’s mission is to eliminate traffic and we believe our carpool feature is a cornerstone that will help us achieve it. In our carpool apps, a rider (or a driver) is presented with a list of users that are relevant for their commute (see below). From there, the rider or the driver can initiate an offer to carpool, and if the other side accepts it, it’s a match and a carpool is born.

Containers and Kubernetes are awesome technologies that enable applications to run without a heavy operating system (OS), as using a virtual machine (VM) would require. Container-first, cloud-native applications are the future, but not every application is suitable to be cloud-native. KubeVirt allows you to run your virtual machines alongside your containers on a Kubernetes platform. Containers and Kubernetes are awesome technologies that enable applications to run without a heavy operating system (OS), as using a virtual machine (VM) would require.

Our Netflix teams need to quickly detect, diagnose, and remediate problems. Telltale is intelligent monitoring and intelligent alerting. The Telltale application health model yields intelligent monitoring and intelligent alerting. Netflix service owners get alerts they can trust with little configuration and no need for constant tuning. When health problems strike, Telltale presents only the most relevant context and suggests possible causes. An alert fires and you get paged in the middle of the night.

After 3 years of development, 2.5 years of production use at Airbnb, and a rewrite in TypeScript we are excited to announce the official 1.0 release of visx (formerly vx). You can find the project on GitHub and browse documentation and examples on airbnb.io. At Airbnb, we made it a goal to unify our visualization stack across the company, and in the process we created a new project that brings together the power of D3 with the joy of React.

A couple of weeks ago, the Alibaba team presented details on the new datapath for the Alibaba Cloud during the SIG Cloud-Provider-Alibaba meeting and also published a blog post with the technical architecture. Guess what, it is all Cilium & eBPF based. Alibaba Cloud is not the first cloud provider to directly embed Cilium. Recently, Google announced the availability of Dataplane V2 based on Cilium & eBPF for GKE and Anthos.

Container Network Interface (CNI) is a big topic, but in short, CNI is a set of specifications that define an interface used by container orchestrators to set up networking between containers. In the Kubernetes space, the Kubelet is responsible for calling the CNI installed on the cluster so Pods are attached to the Kubernetes cluster network during creation, and its resources are properly released during deletion. CNIs can also be responsible for more advanced features than just setting up routes in the cluster, such as network policy enforcement, encryption, load balancing, etc.

About.

Recently there has been substantial discussion around the downsides of service oriented architectures and microservice architectures in particular. While only a few years ago, many people readily adopted microservice architectures due to the numerous benefits they provide such as flexibility in the form of independent deployments, clear ownership, improvements in system stability, and better separation of concerns, in recent years people have begun to decry microservices for their tendency to greatly increase complexity, sometimes making even trivial features difficult to build.

Today a configuration error in our backbone network caused an outage for Internet properties and Cloudflare services that lasted 27 minutes. We saw traffic drop by about 50% across our network. Because of the architecture of our backbone this outage didn’t affect the entire Cloudflare network and was localized to certain geographies. The outage occurred because, while working on an unrelated issue with a segment of the backbone from Newark to Chicago, our network engineering team updated the configuration on a router in Atlanta to alleviate congestion.

I know that floating-point arithmetic is a bit crazy on modern computers. For example, floating-point numbers are not associative: 0.1+(0.2+0.3) = = 0.599999999999999978 (0.1+0.2)+0.3 = = 0.600000000000000089 But, at least, this is fairly consistent in my experience. You should simply not assume fancy properties like associativity to work in the real world. Source: lemire.me