We performed a comparison between Google Kubernetes Engine and Threat Stack Cloud Security Platform based on real PeerSpot user reviews.
Find out in this report how the two Container Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The feature that I like the most is the ease of use as compared to AWS. Its ease of use is very high, and I can quickly deploy clusters with a simple template."
"Stability-wise, this solution is really good."
"The scalability is the best feature."
"Google Kubernetes Engine is used for orchestrating Docker containers. We have 30 or 40 customers working with this solution now. We'll probably see 10 to 15 percent growth in the number of customers using Google Kubernetes Engine in the future."
"The product’s dashboard is very intuitive."
"The logs are important for detecting problems in our clusters."
"The product has valuable security features. It can connect with multiple DevOps tools."
"Google Kubernetes Engine's most valuable feature is container deployment."
"Every other security tool we've looked is good at containers, or at Kubernetes, is good at AWS, or at instance monitoring. But nobody is good at tying all of those things together, and that's really where Threat Stack shines."
"We like the ability of the host security module to monitor the processes running on our servers to help us monitor activity."
"Technical support is very helpful."
"There has been a measurable decrease in the meantime to remediation... because we have so many different tech verticals already collated in one place, our ability to respond is drastically different than it used to be."
"It has been quite helpful to have the daily alerts coming to my email, as well as the Sev 1 Alerts... We just went through a SOX audit and those were pivotal."
"An important feature of this solution is monitoring. Specifically, container monitoring."
"The number-one feature is the monitoring of interactive sessions on our Linux machines. We run an immutable environment, so that nothing is allowed to be changed in production... We're constantly monitoring to make sure that no one is violating that. Threat Stack is what allows us to do that."
"The rules are really great. They give us more visibility and control over what's being triggered. There's a large set of rules that come out-of-the-box. We can customize them and we can create our own rules based on the traffic patterns that we see."
"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 user interface is a bit confusing sometimes. You need to navigate between the various consoles we have. It's hard to figure out where things are. It's frustrating. The documentation could be a bit better."
"One of the things I missed a bit is the visibility and availability of solutions. If I compare it to a different solution, it is a bit behind."
"I think that security is an important point, and there should be additional features for the evaluation of data in containers that will create a more secure environment for usage in multi-parent models."
"I use the Firebase tool with GKE and it would be helpful if the solution can give notifications when we reach the budget limit."
"The product could be cheaper."
"The tool's configuration features need improvement."
"The network configuration has to be simplified."
"The solution’s ability to consume alerts and data in third-party tools (via APIs and export into S3 buckets) is moderate. They have some work to do in that area... The API does not mimic the features of the UI as far as reporting and pulling data out go. There's a big discrepancy there."
"The user interface can be a little bit clunky at times... There's a lot of information that needs to be waded through, and the UI just isn't great."
"The one thing that we know they're working on, but we don't have through the tool, is the application layer. As we move to a serverless environment, with AWS Fargate or direct Lambda, that's where Threat Stack does not have the capacity to provide feed. Those are areas that it's blind to now..."
"The compliance and governance need improvement."
"They could give a few more insights into security groups and recommendations on how to be more effective. That's getting more into the AWS environment, specifically. I'm not sure if that's Threat Stack's plan or not, but I would like them to help us be efficient about how we're setting up security groups. They could recommend separation of VPCs and the like - really dig into our architecture. I haven't seen a whole lot of that and I think that's something that, right off the bat, could have made us smarter."
"It shoots back a lot of alerts."
"Some features do not work as expected."
"I would like further support of Windows endpoint agents or the introduction of support for Windows endpoint agents."
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Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews while Threat Stack Cloud Security Platform is ranked 28th in Cloud Workload Protection Platforms (CWPP). Google Kubernetes Engine is rated 8.0, while Threat Stack Cloud Security Platform is rated 8.2. The top reviewer of Google Kubernetes Engine writes "The auto-scaling feature helps during peak hours, but the support is not great". On the other hand, the top reviewer of Threat Stack Cloud Security Platform writes "SecOps program for us, as a smaller company, is amazing; they know what to look for". Google Kubernetes Engine is most compared with Linode, Kubernetes, Rancher Labs, VMware Tanzu Mission Control and OpenShift Container Platform, whereas Threat Stack Cloud Security Platform is most compared with Darktrace, AWS GuardDuty, Palo Alto Networks URL Filtering with PAN-DB, Qualys VMDR and Prisma Cloud by Palo Alto Networks. See our Google Kubernetes Engine vs. Threat Stack Cloud Security Platform report.
We monitor all Container Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
