Fly.io vs Google Kubernetes Engine: Complete Comparison (2026)

Why choose Fly.io

• Higher Cost score (7/10 vs 5/10)
• Better fit for startups (8/10 vs 6/10)

G

Why choose Google Kubernetes Engine

• Has a free plan (Fly.io does not)
• Lower estimated cost for 10 users: Free vs $2/mo
• Higher Reliability score (8/10 vs 4/10)
• Higher Integration score (8/10 vs 6/10)
• Better fit for enterprise (9/10 vs 5/10)

Fly.io

Pros

• Very low entry cost: a small shared Machine is about $2.19 a month, and invoices under $5 are waived.
• Apps can run in many regions with Anycast routing and global load balancing included at no extra cost.
• Per-hour billing and one-year reserved blocks that save 40 percent give flexible ways to manage cost.
• Managed Postgres plans include high availability, automated backups and connection pooling.
• A HIPAA package with a pre-signed BAA costs $99 a month on any paid plan.

Cons

• Status trackers show recurring network and API incidents through 2025 and 2026, and the CEO admitted reliability problems in 2023.
• The 99.9% uptime SLA is available only with Enterprise support, which starts at $2,500 a month.
• Bills spread across Machines, volumes, egress, IPs and support, which makes costs harder to predict.
• Apps need a Dockerfile and a fly.toml, which adds setup work compared with buildpack-style PaaS products.
• Compute costs more in some regions, up to 1.615 times in Sao Paulo.

G

Google Kubernetes Engine

Pros

• Autopilot mode removes node management and bills only for the resources pods request, so unscheduled pods and system overhead are not charged.
• The $74.40 monthly credit pays the management fee for one zonal or Autopilot cluster.
• Comparison articles rate its setup the simplest of GKE, EKS, and AKS, and its hybrid and multi-cloud tooling the most mature.
• Since September 2025, fleet management and policy tools come with Standard at no extra cost.
• G2 reviewers give it an average of about 4.5 stars and praise the stability of the managed control plane.

Cons

• Every cluster pays about $73 a month in management fees, while AKS's standard tier control plane is free.
• Load balancers, storage, and network egress are billed separately, so reviewers find total costs hard to forecast.
• Users report a steep Kubernetes learning curve, and advanced tuning still takes real expertise.
• Reviewers describe support as mixed, especially for clusters on older Kubernetes versions.
• Forum threads describe Autopilot problems such as pods being preempted and scale-up and scale-down loops.