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In the following tutorial we’ll walk you through provisioning a highly-available Hashicorp Vault and Consul cluster on Kubernetes with TLS. This is an intermediate-level tutorial. It assumes that you have basic working knowledge of Vault, Consul, Docker, and Kubernetes. Minikube is a tool used to run a single-node Kubernetes cluster locally. It’s designed to get a cluster up and running quickly so you can start interacting with the Kubernetes API locally.

Envoy proxies communication among microservices. It is a key component in many service-oriented architecturesâand one that offers a unique opportunity to gain visibility into your service mesh. We’re pleased to announce that Datadog integrates with Envoy as well as AWS App Mesh, a new hosted service based on Envoy that dynamically configures your service mesh proxies. By integrating Envoy or AWS App Mesh with Datadog, you can monitor the performance of your service mesh and view performance metrics and detailed request traces from all the services in your infrastructure.

As an entrepreneur and the CTO of a young startup, keeping a close eye on the product is at the top of my priorities. To keep improving the product, I’m always alert to new issues; and seeing those issues from different perspectives is key to resolving problems before users are affected. This is where monitoring comes in. In this blog post, I will get you into my stack and share the list of monitoring tools I’m using on a daily basis.

The cost of managing microservices and the dependencies between them increase exponentially as their numbers rise. But things don’t have to be complicated. By making it easier than ever to add powerful new microservices, Kubernetes has become a driving force behind companies breaking up monolith apps and transforming them into microservice architectures. But as their numbers grow, the cost of managing microservices and the dependencies between them increase exponentially as well.

Amazon Web Services will offer AWS-branded servers that will work with existing cloud services. AWS is taking on traditional hardware vendors with its on-premises service. Amazon Web Services will offer AWS-branded servers that will work with existing cloud services. AWS is taking on traditional hardware vendors with its on-premises service. Amazon cloud chief Andy Jassy said that during the first half of 2018, he was consistently getting requests from customers who wanted Amazon’s help not just in the cloud, but also in their own data centers.

This article is the third in a series covering how Uber’s mobile engineering team developed the newest version of our driver app, codenamed Carbon, a core component of our ridesharing business. Among other new features, the app lets our population of over three million driver-partners find fares, get directions, and track their earnings. We began designing the new app in conjunction with feedback from our driver-partners in 2017, and began rolling it out for production in September 2018.

Originally created at Lyft, Envoy is a high-performance open source edge, middle, and service proxy. The project helps ease the transition to, and operation of, cloud native architectures by managing the interactions among microservices in order to ensure application performance. Envoy’s out-of-process architecture can be used with any application, in any language or runtime; supported protocols and features include HTTP/2, gRPC, MongoDB, Redis, Thrift, external authorization, global rate limiting, a rich configuration API, and much more.

Data visualization is a key step to understand the dataset and draw inferences from it. While one can always closely inspect the data row by row, cell by cell, it’s often a tedious task and does not highlight the big picture. Visuals on the other hand, define data in a form that is easy to understand with just a glance and keeps the audience engaged. Matplotlib is a basic library that provides options for various plots along with extensive customizations in the form of labels, title, font size etc.

Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you haven’t quite gotten around to, you’re in luck. To help you catch up, we’ve summarized 10 important AI research papers from 2018 to give you a broad overview of machine learning advancements this year. There are many more breakthrough papers worth reading as well, but we think this is a good list for you to start with.

Amazon announced today that it’s making its range of machine learning courses available to all developers signed up to its AWS platform for free. This program was previously available only to Amazon employees, but anyone can now take advantage of it at no charge by signing up to Amazon Web Services’ free plan. It includes 30 courses in total, with over 45 hours of course material, videos, and lab tests.