F5 Distributed Cloud App Stack vs. Google Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
F5 Distributed Cloud App Stack
Score 7.5 out of 10
N/A
A solution to deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplified by managing deployments as one across on-prem, cloud, and edge locations.N/A
Google Kubernetes Engine
Score 8.1 out of 10
N/A
Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Pricing
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Editions & Modules
No answers on this topic
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
Offerings
Pricing Offerings
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Features
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Container Management
Comparison of Container Management features of Product A and Product B
F5 Distributed Cloud App Stack
6.0
Ratings
25% below category average
Google Kubernetes Engine
8.6
Ratings
11% above category average
Security and Isolation6.70 Ratings7.00 Ratings
Container Orchestration5.70 Ratings10.00 Ratings
Cluster Management5.70 Ratings10.00 Ratings
Resource Allocation and Optimization5.70 Ratings9.00 Ratings
Discovery Tools4.90 Ratings6.00 Ratings
Update Rollouts and Rollbacks6.50 Ratings10.00 Ratings
Self-Healing and Recovery6.50 Ratings9.00 Ratings
Analytics, Monitoring, and Logging6.20 Ratings8.00 Ratings
Storage Management00 Ratings8.00 Ratings
User Ratings
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Likelihood to Recommend
6.7
(0 ratings)
8.0
(0 ratings)
Usability
5.5
(0 ratings)
8.0
(0 ratings)
Support Rating
8.3
(0 ratings)
9.0
(0 ratings)
Implementation Rating
8.6
(0 ratings)
-
(0 ratings)
User Testimonials
F5 Distributed Cloud App StackGoogle Kubernetes Engine
Likelihood to Recommend
F5 Distributed Cloud App Stack is great for businesses that want 100% up time. It probably is not best when there is only one person who can handle all things F5.
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Google Kubernetes Engine is well suited for dynamic and large workloads since it can scale up with usage. It is easily configurable, which allows for flexibility. User interface is simple to navigate, which reduces roadblocks for a team with people unfamiliar with Kubernetes. Great if you are already using other GCP services as it integrates well with that.
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Pros
  • API DevOps
  • API Security
  • Apps
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  • Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
  • GCP is ahead other vendors and always provide the most up to date Kubernetes version.
  • GKE automation for master upgrade and the worker nodes pool works really well.
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Cons
  • It's still a little early so the app feels foreign to our ops teams
  • I would like to customize the UI so I can visually see if I'm in Prod or Dev based on background colors
  • Templates are a little awkward to create
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  • Not as intuitive as it could be
  • Documentation could be better, especially for people using other Google Cloud tools
  • Not the preferred Kubernetes Engine for many apps
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Usability
Documentation and learning resources are key to me providing a perfect score.
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It's a great product if you learn it. It has flexibility and is very strong. Autoscaling and Resource management make running huge applications a breeze. Using Helm with Kubernetes and Terraform for infrastructure creation can totally automate your CICD pipeline. You also get easy access to CUDA cores for machine learning.
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Support Rating
generally support is fast
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Google support is excellent and helpful, but the first answer is always so bureaucratic no matter how many logs, evidence, and information you sent.
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Implementation Rating
F5 Distributed Cloud App Stack's partner provided services are excellent
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No answers on this topic
Alternatives Considered
Pretty similar in function but easier to use
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We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely self-managed K8s cluster on Compute Engine VMs, which we did not have the knowledge of and capacity to handle.
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Return on Investment
  • We are able to consolidate with F5, eliminating Cloudflare.
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  • Compared to other big K8s providers it has the best price/performance factors.
  • Upgrade process from stable to regular versions
  • Old stable releases: 1.15/1.16 should be in a stable branch.
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ScreenShots