Best Service Mesh for Microsoft Azure

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.

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.

A common flat vL3 domain allowing DBs running in multiple clusters/clouds/hybrid to communicate just with each other for DB replication. Multiple companies can connect to a single 'collaborative 'Service Mesh for cross-company interactions. Each workload has one option for which connectivity domain it should be connected to. Only workloads within a particular runtime domain can be part of its connectivity area. Connectivity Domains are strongly coupled to Runtime Domains. Cloud Native's central tenant is Loose Coupling. Loosely Coupled systems allow each workload to continue receiving service from other providers. It doesn't matter in what Runtime Domain a workload runs in. It is irrelevant to its communications requirements. Workloads that are part the same App require Connectivity between them, regardless of where they are located.

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.

Kubernetes is KuberSphere's kernel. KubeSphere is a distributed operating platform for cloud-native app management. It allows third-party applications to seamlessly integrate into its ecosystem through a plug-and play architecture. KubeSphere is a multi-tenant, open-source Kubernetes container system with full-stack automated IT operations. It also has streamlined DevOps workflows. It offers a wizard web interface that is easy to use for developers, allowing enterprises to create a robust and feature-rich Kubernetes platform. This includes all the common functions required for enterprise Kubernetes strategy development. Open-source Kubernetes platform CNCF-certified, 100% built by the community. It can be deployed on existing Kubernetes clusters or Linux machines. It supports both online and air-gapped installations. Deliver DevOps and service mesh, observability and application management, multi-tenancy storage, networking management, and other services in a single platform.

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.