Best Service Mesh for Google Cloud Platform

Software-defined load balancers and container ingress services simplify application delivery for any application, in any datacenter and cloud. Simplify administration by implementing centralized policies that ensure operational consistency in hybrid clouds and on-premises datacenters, including VMware Cloud, AWS, Azure and Google Cloud. Self-service enables DevOps to free infrastructure teams from manual tasks. The toolkits for application delivery automation include Python SDKs, RESTful APIs and Terraform and Ansible integrations. With real-time monitoring of application performance, closed-loop analysis and deep machine-learning, you can gain unprecedented insights into network, end-users and security.

Your service mesh will be managed without any effort. Service mesh is an abstraction that's becoming increasingly popular to deliver modern applications and microservices. The service mesh data plane with Envoy service proxies moves traffic around, while the service mesh control plan provides policy, configuration and intelligence to these service proxy proxies. Traffic Director is GCP’s fully managed traffic control plan for service mesh. Traffic Director allows you to easily deploy global load balancing across clusters or VM instances in multiple locations, offload health checks from service proxies, as well as configure complex traffic control policies. Traffic Director uses open xDSv2 interfaces to communicate with service proxies in data plane. This ensures that you don't have to use a proprietary interface.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

Kuma Enterprise Service Mesh based on Kuma to multi-cloud and multi cluster on Kubernetes as well as VMs. You can deploy with one command. With built-in service discovery, connect to other services automatically. This includes an Ingress resource as well as remote CPs. Support for any environment, including multicluster, multicloud, and multiplatform on Kubernetes as well as VMs. Native mesh policies can be used to accelerate initiatives such as zero-trust or GDPR, and improve the efficiency and speed of each application team. A single control plane can scale horizontally to multiple data planes, support multiple clusters, or even hybrid service meshes that run on Kubernetes and both VMs. Envoy-based ingress deployments on Kubernetes or VMs can simplify cross-zone communication. You can collect metrics, trace and logs for all L4-L7 traffic using Envoy's 50+ observability charts.

Netmaker is an open-source tool that uses the WireGuard protocol. Netmaker unifies distributed environments seamlessly, from multi-cloud to Kubernetes. Netmaker provides flexible and secure networking that allows for cross-environment scenarios. This enhances Kubernetes clusters. WireGuard is used by Netmaker for secure encryption. It was designed with zero trust in the mind, uses access control lists, follows industry standards, and uses WireGuard for secure networking. Netmaker allows you to create relays and gateways, full VPN meshes and even zero trust networks. Netmaker can be configured to maximize Wireguard's power.

Calisti allows administrators to switch between historical and live views and enables traffic management, security, observability, and traffic management for microservices. Calisti can configure Service Level Objectives (SLOs), burn rates, error budget, and compliance monitoring. It also sends a GraphQL Alert to scale automatically based on SLO burnrate. Calisti manages microservices that run on containers and virtual machines. This allows for application migration from VMs into containers in a phased fashion. Management overhead can be reduced by consistently applying policies and meeting both K8s as well as VMs' application Service Level Objectives. Istio releases new versions every three months. Calisti also includes our Istio Operator, which automates lifecycle management and even allows canary deployment of Istio's platform.

ARMO provides total security to in-house data and workloads. Our patent-pending technology protects against security overhead and prevents breaches regardless of whether you are using cloud-native, hybrid, legacy, or legacy environments. ARMO protects each microservice individually. This is done by creating a cryptographic DNA-based workload identity and analyzing each application's unique signature to provide an individualized and secure identity for every workload instance. We maintain trusted security anchors in protected software memory to prevent hackers. Stealth coding-based technology blocks any attempts to reverse engineer the protection code. It ensures complete protection of secrets and encryption keys during use. Our keys are not exposed and cannot be stolen.

Connect and manage applications across clouds, clusters, and data centers. From a single management platform, coordinate app connectivity across heterogeneous infrastructure. Integrate legacy workloads into your cloud native application infrastructure. To give teams access to shared infrastructure, define tenants within your company. From day one, audit the history of any changes to shared resources and services. Automate traffic shifting across failure domains, before your customers notice. TSB is located at the application edge, at cluster entry, and between workloads within your Kubernetes or traditional compute clusters. The edge and ingress gateways route traffic and load balance it across clouds and clusters, while the mesh controls connectivity between services. One management plane can configure connectivity, security, observability, and other features for your entire network.