What is Google Anthos and what are its top alternatives?
Top Alternatives to Google Anthos
Cloud FoundryCloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. ...
Azure StackThe Azure Stack is a portfolio of products that extend Azure services and capabilities to your environment of choice—from the datacenter to edge locations and remote offices. The portfolio enables hybrid and edge computing applications to be built, deployed, and run consistently across location boundaries, providing choice and flexibility to address your diverse workloads. ...
AWS OutpostsIt is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage. ...
KubernetesKubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. ...
RancherRancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform. ...
Platform9 Managed OpenStackIt lets you go live with your OpenStack private cloud within minutes using our deployment tools. With a few simple clicks, your Platform9 dashboard starts offering visibility into your infrastructure across compute, storage, network, and existing workloads — and your OpenStack cloud is live. ...
DimensigonIt is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations. ...
Google Anthos alternatives & related posts
Cloud Foundry
- Perfectly aligned with springboot2
- Free distributed tracing (zipkin)1
- Application health management1
- Free service discovery (Eureka)1
related Cloud Foundry posts
Azure Stack
- Scaleability1
- Easy integration1
related Azure Stack posts
AWS Outposts
related AWS Outposts posts
Kubernetes
- Leading docker container management solution164
- Simple and powerful128
- Open source106
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Cheap8
- Supports autoscaling8
- Simple8
- No cloud platform lock-in5
- Reliable5
- Self-healing5
- Quick cloud setup4
- Promotes modern/good infrascture practice4
- Scalable4
- Open, powerful, stable4
- Runs on azure3
- Captain of Container Ship3
- Cloud Agnostic3
- Custom and extensibility3
- Backed by Red Hat3
- A self healing environment with rich metadata3
- Gke2
- Everything of CaaS2
- Sfg2
- Expandable2
- Golang2
- Easy setup2
- Poor workflow for development15
- Steep learning curve15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1
related Kubernetes posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.
Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.
After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...
- Easy to use103
- Open source and totally free79
- Multi-host docker-compose support63
- Load balancing and health check included58
- Simple58
- Rolling upgrades, green/blue upgrades feature44
- Dns and service discovery out-of-the-box42
- Only requires docker37
- Multitenant and permission management34
- Easy to use and feature rich29
- Cross cloud compatible11
- Does everything needed for a docker infrastructure11
- Simple and powerful8
- Next-gen platform8
- Very Docker-friendly7
- Support Kubernetes and Swarm6
- Application catalogs with stack templates (wizards)6
- Supports Apache Mesos, Docker Swarm, and Kubernetes6
- Rolling and blue/green upgrades deployments6
- High Availability service: keeps your app up 24/76
- Easy to use service catalog5
- Very intuitive UI4
- IaaS-vendor independent, supports hybrid/multi-cloud4
- Awesome support4
- Scalable3
- Requires less infrastructure requirements2
- Hosting Rancher can be complicated10
related Rancher posts
Platform9 Managed OpenStack
related Platform9 Managed OpenStack posts