JFrog Xray and Amazon EKS compete in the areas of security and cloud-native integration. Amazon EKS holds the upper hand in broader use cases, supported by its deep integration with the comprehensive AWS ecosystem.
Features: Users value JFrog Xray's precise vulnerability detection, comprehensive artifact scanning, and security-specific features. Amazon EKS is praised for its scalability, seamless integration with other AWS services, and cloud-native capabilities.
Room for Improvement: Reviews indicate JFrog Xray could improve with enhanced integrations, performance speed, and better UI. Amazon EKS users desire better support, more intuitive setup processes, and improved documentation.
Ease of Deployment and Customer Service: JFrog Xray is noted for its straightforward deployment process and reliable customer support. Amazon EKS offers extensive deployment options but reviews highlight complexity and the need for better support.
Pricing and ROI: JFrog Xray's pricing is considered reasonable, offering good ROI due to its effective vulnerability management. Amazon EKS users find it more expensive but justify the cost with the extensive features and AWS integration.
Initially, not having them resulted in an unoptimized solution. However, with these tools in place, we witnessed a reduction of costs by approximately a third—if it was $100 beforehand, we brought costs down to $25.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
It's a fast deployment, with very good documentation, and it's really helpful.
We didn't need to manage etcd and those control management tools; it's totally handled from the AWS side, making it very beneficial.
I believe there should be a recovery solution available for at least a few hours so that we might bring it back.
They will set up a call, guide us, or provide solutions regarding integration with AWS or Amazon EKS.
When we need clarifications, we contact our account manager, and they arrange demos.
On a scale of 1 to 10, I would rate the technical support of JFrog Xray an eight because they are very knowledgeable.
The ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
This allows us to scale our applications or APIs as needed, offering reliability through the automation of scaling processes.
If any node is not ready, the cluster autoscaler ensures that it is removed from the AWS auto-scaling group and replaces it with a new node in the cluster.
According to my use case, it is highly scalable.
There are multiple availability zones in the regions, meaning no single point of failure.
The control plane is quite stable in Amazon EKS, and I find it to be 100% available.
We haven't faced any challenges, and it consistently delivers on its committed SLA.
I use JFrog Xray primarily for security purposes, and I find it reliable.
We did experience crashes, downtimes, and performance issues with JFrog Xray.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
Amazon EKS can be improved by having the maintenance of Kubernetes versions managed better, as everything is handled by the Kubernetes team and possibly a separate team at AWS.
Adding logging would be a valuable improvement.
When we have given a very long tag, it doesn't work as expected and requires excessive scrolling.
somehow you need to adapt your GitLab pipeline and turn them into JFrog pipeline, and this is something they don't really advertise at first—you're obliged to use the JFrog CLI.
X-ray needs improvement in supporting more than one database, as it currently only supports PostgreSQL.
The EKS service itself is free, but you will incur costs for the VMs used as nodes in that cluster.
If you want to monitor costs effectively, applying separate tools and acting accordingly in advance is essential.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
JFrog Xray provides a free trial of 14 days.
The basic scanning capabilities come with Artifactory, however, curation requires additional licenses.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
The main benefits that I received from using Amazon EKS are that it is a managed cluster and offers simplicity.
By default, if you just install Amazon EKS, you can deploy your application, but to have it enterprise-ready, you have to configure a number of other things that will boost productivity.
The most valuable features of JFrog Xray are its curation capabilities, its native integration with Artifactory, scanning for vulnerabilities, and license compliance features.
The policy-driven approach of JFrog Xray helped me maintain security standards by integrating it in the development pipeline.
With other registries such as ECR, we can use the images only in the AWS cloud. With JFrog, we can use this registry from any cloud or work locally as well.
Product | Market Share (%) |
---|---|
Amazon EKS | 0.2% |
JFrog Xray | 4.0% |
Other | 95.8% |
Company Size | Count |
---|---|
Small Business | 32 |
Midsize Enterprise | 18 |
Large Enterprise | 38 |
Company Size | Count |
---|---|
Small Business | 1 |
Midsize Enterprise | 3 |
Large Enterprise | 6 |
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.
EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure.
EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.
JFrog is on a mission to enable continuous updates through Liquid Software, empowering developers to code high-quality applications that securely flow to end-users with zero downtime. The world’s top brands such as Amazon, Facebook, Google, Netflix, Uber, VMware, and Spotify are among the 4500 companies that already depend on JFrog to manage binaries for their mission-critical applications. JFrog is a privately-held, global company, and is a proud sponsor of the Cloud Native Computing Foundation [CNCF].
If you are a team player and you care and you play to WIN, we have just the job you're looking for.
As we say at JFrog: "Once You Leap Forward You Won't Go Back!"
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