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As more customers use multiple cloud services or microservices, they face the difficulty of consistently managing and connecting their services across various environments, including on-premises, different clouds, and existing legacy systems. HashiCorp Consul's service mesh addresses this challenge by securely and consistently connecting applications on any runtime, network, cloud platform, or on-premises setup. In the Google Cloud ecosystem, Consul can be deployed across Google Kubernetes Engine (GKE) and Anthos GKE. Now, Consul 1.16 is also supported on GKE Autopilot, Google Cloud’s fully managed Kubernetes platform for containerized workloads. Consul 1.17 is currently on track to be supported on GKE Autopilot later this year. Benefits of GKE Autopilot In 2021, Google Cloud introduced GKE Autopilot, a streamlined configuration for Kubernetes that follows GKE best practices, with Google managing the cluster configuration. Reducing the complexity that comes with workloads using Kubernetes, Google’s GKE Autopilot simplifies operations by managing infrastructure, control plane, and nodes, while reducing operational and maintenance costs. Consul is the latest partner product to be generally available, fleet-wide, on GKE Autopilot. By deploying Consul on GKE Autopilot, customers can connect services and applications across clouds, platforms, and services while realizing the benefits of a simplified Kubernetes experience. The key benefits of using Autopilot include more time to focus on building your application, a strong security posture out-of-the-box, and reduced pricing — paying only for what you use: Focus on building and deploying your applications: With Autopilot, Google manages the infrastructure using best practices for GKE. Using Consul, customers can optimize operations through centralized management and automation, saving valuable time and resources for developers. Out-of-the-box security: With years of Kubernetes experience, GKE Autopilot implements GKE-hardening guidelines and security best practices, while blocking features deemed less safe (i.e. privileged pod- and host-level access). As a part of HashiCorp’s zero trust security solution, Consul enables least-privileged access by using identity-based authorization and service-to-service encryption. Pay-as-you-go: GKE Autopilot’s pricing model simplifies billing forecasts and attribution because it's based on resources requested by your pods. Visit the Google Cloud and HashiCorp websites to learn more about GKE Autopilot pricing and HashiCorp Consul pricing. Deploying Consul on GKE Autopilot Deploying Consul on GKE Autopilot facilitates service networking across a multi-cloud environment or microservices architecture, allowing customers to quickly and securely deploy and manage Kubernetes clusters. With Consul integrated across Google Cloud Kubernetes, including GKE, GKE Autopilot, and Anthos GKE, Consul helps bolster application resilience, increase uptime, accelerate application deployment, and improve security across service-to-service communications for clusters, while reducing overall operational load. Today, you can deploy Consul service mesh on GKE Autopilot using the following configuration for Helm in your values.yaml file: global: name: consul connectInject: enabled: true cni: enabled: true logLevel: info cniBinDir: "/home/kubernetes/bin" cniNetDir: "/etc/cni/net.d"In addition, if you are using a Consul API gateway for north-south traffic, you will need to configure the Helm chart so you can leverage the existing Kubernetes Gateway API resources provided by default when provisioning GKE Autopilot. We recommend the configuration shown below for most deployments on GKE Autopilot as it provides the greatest flexibility by allowing both API gateway and service mesh workflows. Refer to Install Consul on GKE Autopilot for more information. global: name: consul connectInject: enabled: true apiGateway: manageExternalCRDs: false manageNonStandardCRDs: true cni: enabled: true logLevel: info cniBinDir: "/home/kubernetes/bin" cniNetDir: "/etc/cni/net.d"Learn more You can learn more about the process that Google Cloud uses to support HashiCorp Consul workloads on GKE Autopilot clusters with this GKE documentation and resources page. Here’s how to get started on Consul: Learn more in the Consul documentation. Begin using Consul 1.16 by installing the latest Helm chart, and learn how to use a multi-port service in Consul on Kubernetes deployments. Try Consul Enterprise by starting a free trial. Sign up for HashiCorp-managed HCP Consul. View the full article

Starting today, you can invoke SageMaker Autopilot from SageMaker Data Wrangler to automatically train, tune and build machine learning models. SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Previously, customers used Data Wrangler to prepare their data for machine learning and Autopilot for training machine learning models independently. With this unified experience, you can now prepare your data in SageMaker Data Wrangler and easily export to SageMaker Autopilot for model training. With just a few clicks, you can automatically build, train, and tune machine learning models, making it easier to automatically employ state-of-the-art feature engineering techinques, train high quality machine learning models, and gain insights from your data faster. View the full article

Don’t look now, but Brain Corp. operates over 100,000 of its robots in factories, supermarkets and warehouses, doing all the repetitive things that we always hoped robots would do: cleaning floors, taking inventory, restocking shelves, etc. And BrainOS, the AI software platform that powers these autonomous mobile robots, doesn’t just run in the robots themselves — it runs in the cloud. Specifically, Google Cloud… Read Article