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Akamai Connected Cloud (Linode) vs Google Kubernetes Engine comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Akamai Connected Cloud (Lin...
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
28
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (7th), Hybrid Cloud Computing Platforms (12th)
Google Kubernetes Engine
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
37
Ranking in other categories
Container Management (10th)
 

Mindshare comparison

Akamai Connected Cloud (Linode) and Google Kubernetes Engine aren’t in the same category and serve different purposes. Akamai Connected Cloud (Linode) is designed for Infrastructure as a Service Clouds (IaaS) and holds a mindshare of 8.3%, down 13.1% compared to last year.
Google Kubernetes Engine, on the other hand, focuses on Container Management, holds 2.2% mindshare, down 3.0% since last year.
Infrastructure as a Service Clouds (IaaS)
Container Management
 

Featured Reviews

Julio Graham - PeerSpot reviewer
Helpful automation scripts, good documentation, responsive support, easy to use and manage
The ability to fire up a virtual machine, use it, and then kill it, is quite a valuable feature for me. They have a lot of startup scripts, I think they are called stack scripts, whereby you can install something at a click of a button. For instance, you can install a whole server at the click of a button. Linode gives the users a lot of control. Another thing that I use quite a lot is their documentation. They have documentation on how to perform tasks and often, I use that to educate a client on how to do something or on how to maintain something, et cetera. This is because a lot of customers are used to simpler systems like an iPhone, where if you want an app then you just download it from a store, press a button and it installs, or press a button and it updates. The truth of the matter is that with servers and things like that, whilst people like the push button idea, it's a lot more complex than that. With these stack scripts, the people at Linode have thought about all of the things that a new user would not think about. They do all of that stuff and then walk you through it, and that's where Linode's documentation is really good. They walk you through what you have to do to secure a server, what you have to do to run a patch, or whatever. They've got all those sorts of knowledge bases of information, which I think is invaluable, especially for clients who are uneducated in these things. It's extremely important to me that Linode offers worldwide coverage via multiple data centers, for various reasons. One is that because we live in this global world, our customers are everywhere. Secondly, for people who need geo-redundancy, with for example a server in China and one elsewhere as a backup, it's great. It's also nice because if they were just US-based, I wouldn't be able to use them because I would need to go through a whole process of trying to certify the data integrity in other regions. I'm sure that most people wouldn't bother with this because of all of the EU laws and the UK laws around data privacy. The US's data privacy laws are far more relaxed than what they are on my side of the world. The fact that I can have a server in London means that I don't have to bother with all of that. My physical location of that server is in London and to me, it is really important. When you compare Amazon, they claim to have infrastructure all over the place but I think that the bulk is centered in Germany. Even if it is in a few different places, everything gets backed up to the US, which is a problem for a lot of people.
Abhilash Gopidas - PeerSpot reviewer
The auto-scaling feature helps during peak hours, but the support is not great
The product has no downtime. Automated scaling is a valuable feature. During peak hours, the datasets are on a higher volume. We need scaling in place. Otherwise, there's a degradation in the performance. We might sometimes miss data, or there will be no data sync between systems. Auto-scaling helps deal with performance needs during peak hours. There's no lag time for processing data.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The ability to fire up a virtual machine, use it, and then kill it, is quite a valuable feature for me."
"Linode has many other cloud servers across the globe."
"Linode offers cost-effective pricing, and it enables me to swiftly deploy my services."
"We can scale up and down as we require."
"The simplicity by which you can handle your inventory is one of the things I like the most."
"The virtual machine configuration tool is very helpful for setting up a new server or for modifying an existing server."
"The creation of instances is very good, as is their interface which is not complex and is easy to use. With the dashboard it is easy to create a new instance and add your favorite things. You can add Debian, Ubuntu, or CentOS, or any flavor of operating system. You can select the RAM for your instance as well."
"The number one thing we like about Linode isn't necessarily a service, it's their support. We've found their support to be absolutely fantastic. They've been so outstanding with their support. Every single time we call them and we ask for advice or help, they go above and beyond and it's really made us appreciate what they do."
"The solution is available across AWS, GCP and Azure and is seamless."
"Its functionalities, such as computing the namespaces, clusters, pods, and restart logs, are easy to use."
"The initial setup was very easy because it's like a Google platform as a service. It's just one button to set it up. The deployment took only a few minutes."
"GKE is easier to understand and use than Elastic Kubernetes Service."
"The scalability is the best feature."
"The deployment of the cluster is very easy."
"The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team."
"Before using this solution, it was a lot of manual tasks and a lot of people participated in the process."
 

Cons

"One thing that I'd really like to see is auto-scaling node pools for their Kubernetes. I don't think that they have that. That's a huge one and would be very helpful. Specifically, what I would like is auto-scaling node pools that would scale down to zero nodes, which is tricky. That's very important for certain use cases."
"There is no notification from the company regarding upgrades."
"The product must improve its security."
"It would be helpful if they provided the additional Linux distributions that I prefer using. But there is still a workaround. I can do it without direct support. It's a bit more complicated, but it can still be done."
"Before they changed the dashboard, I found some of the more granular options easier to find."
"They recently changed the web interface and although the older one did not look as good, the new one is less responsive."
"Our primary concern is always the latency."
"Right now, they don't have multiple data centers. They have limited data centers. I am currently using the Singapore and Mumbai data centers, but I am looking for data centers in Southeast Asia, the Middle East, and Africa. They need to improve the availability of their data centers and partnership engagements with cloud Panda solution providers, like us."
"Google Kubernetes Engine is less stable in some highly complex deployments with many nodes."
"The console for this solution could be improved because it is very limited."
"An area in which Google Kubernetes Engine could improve is configuration."
"I would rate the scalability a seven out of ten."
"The notifications are not informative."
"There is room for improvement in this solution. For example, auto-scaling can be complex. We expect it to be easier to set up and manage, even for our customers."
"The product could be cheaper."
"The user interface could be improved."
 

Pricing and Cost Advice

"Pricing-wise, I find it simple in that they give you a monthly fee, but they also charge it hourly. So, if you are using the service for a small part of the month, then you are only paying for that small amount instead of a whole month, like with other providers. It is a flat monthly fee if you use the service for the entire month. It just makes things so simple. Because they are focusing on Linux, you don't have to worry about licensing costs of Windows and things like that. So, the price that they give you is the price that you need to pay each month. I just find it so simple compared to the likes of AWS and Azure. It is nice, easy, and predictable. I know exactly what I am going to be paying each month and what resources I get for that price."
"Overall, it is cost-effective. They offer flat, no lock-in pricing. We also get discounts. As compared to its competitors, it is costly, but at the same time, it has many features."
"There might be something a little bit cheaper but I find it very fair and competitive, and nothing to complain about."
"When we started with the service, the cost was approximately €5 per month."
"Pricing is very good and flexible, according to the resources required."
"At this point, I'm paying more like $35 per month for a slightly bigger machine, and the backup, and the object service."
"The pricing model is simple."
"The pricing model is very simple. I like the simplicity of it, starting at $5, then doubling as it goes up from there. That is a brilliant idea, and it is not complex at all. It is about as dead simple as you can imagine. So, if you want to double what you have, then you double your price, pay the money, and reboot. It is done. It's that simple. You can't beat that."
"I would rate the solution's pricing a nine out of ten. The tool costs around 3000 dollars per month. There are no additional costs apart from these."
"The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."
"The product is a little bit expensive."
"The solution's price is reasonable."
"Currently, it costs around $1000 per month which sorted our deployment. So once we get more clients, having a huge suffix, costs can go up."
"It is competitive, and it is not expensive. It is almost competitive with AWS and the rest of the cloud solutions. We are spending around 3K USD per month. There are four projects that are currently running, and each one is incurring a cost of around 3K USD."
"Initially, Google Kubernetes Engine was a little bit cheaper, but now its prices have been increased compared to the pricing model and the features that are made available by its competitors."
"Its pricing is good. They bill us only per user. That's nice."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
University
9%
Comms Service Provider
8%
Financial Services Firm
7%
Financial Services Firm
22%
Computer Software Company
13%
Manufacturing Company
9%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Linode?
When I started using Linode, I found its functionality easy to navigate, user-friendly and responsive to my needs. It provides clear reminders about services I'm not using, like DNS zones, which I ...
What is your experience regarding pricing and costs for Linode?
The pricing is competitive, rated an eight out of ten. Despite a recent price increase due to inflation, the value is commendable.
What needs improvement with Linode?
The Cloud Manager interface sometimes feels slow, particularly when accessed from Asia. Compared to the previous non-React interface, the current version could be more responsive.
What is your experience regarding pricing and costs for Google Kubernetes Engine?
For pricing, Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost. I would rate the cost around four out of ten, where ten is the higher ...
What needs improvement with Google Kubernetes Engine?
The management UI could be improved. When looking at the web interface, it feels kind of slow due to the many features involved. The interface could definitely be faster.
 

Also Known As

No data available
GKE
 

Overview

 

Sample Customers

Best Buy, Panasonic, Giphy, Marco Polo, World Health Organization, Font Squirrel
Philips Lighting, Alpha Vertex, GroupBy, BQ
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