Last.Backend vs Google Compute Engine

Struggling to choose between Last.Backend and Google Compute Engine? Both products offer unique advantages, making it a tough decision.

Last.Backend is a Development solution with tags like container, kubernetes, microservices, devops.

It boasts features such as Automated cluster management, Service discovery and load balancing, Resource scheduling and optimization, Secret management, Built-in monitoring and logging, CLI and UI for managing applications, Support for Kubernetes concepts like Deployments, Services, etc, Horizontal autoscaling of applications, Can deploy to multiple cloud providers and on-prem clusters and pros including Open source and free to use, Automates infrastructure management, Makes deploying apps simpler, Good for microservices architectures, Active development community.

On the other hand, Google Compute Engine is a Ai Tools & Services product tagged with iaas, paas, virtual-machines, scalable-computing.

Its standout features include Virtual machines, Persistent disks, Networking, Load balancing, Autoscaling, Integrated monitoring and logging, and it shines with pros like Fast provisioning, Scalability, Preemptible VMs for cost savings, Global infrastructure, Integrates with other GCP services.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Last.Backend

Last.Backend

Last.Backend is an open-source platform as a service (PaaS) that makes it easier to deploy, scale, and manage containerized applications. It handles cluster management, resource scheduling, service discovery, load balancing, secret management, and more.

Categories:
container kubernetes microservices devops

Last.Backend Features

  1. Automated cluster management
  2. Service discovery and load balancing
  3. Resource scheduling and optimization
  4. Secret management
  5. Built-in monitoring and logging
  6. CLI and UI for managing applications
  7. Support for Kubernetes concepts like Deployments, Services, etc
  8. Horizontal autoscaling of applications
  9. Can deploy to multiple cloud providers and on-prem clusters

Pricing

  • Open Source

Pros

Open source and free to use

Automates infrastructure management

Makes deploying apps simpler

Good for microservices architectures

Active development community

Cons

Less features than some proprietary PaaS offerings

Not as mature or widely adopted as alternatives

Limited to containers, unlike some PaaS that support multiple runtimes

Steeper learning curve than basic PaaS


Google Compute Engine

Google Compute Engine

Google Compute Engine is a scalable computing service that provides virtual machines running in Google's data centers and worldwide fiber network. It delivers consistent performance and uptime for operating systems, application frameworks, and applications.

Categories:
iaas paas virtual-machines scalable-computing

Google Compute Engine Features

  1. Virtual machines
  2. Persistent disks
  3. Networking
  4. Load balancing
  5. Autoscaling
  6. Integrated monitoring and logging

Pricing

  • Pay-As-You-Go

Pros

Fast provisioning

Scalability

Preemptible VMs for cost savings

Global infrastructure

Integrates with other GCP services

Cons

Can be complex to configure

No desktop OS support

Pricing not as low as some competitors