Snyk and Amazon EKS compete in the domain of cloud-native application solutions, offering different strengths. Snyk appears to have the upper hand in ease of integration and customer engagement, while Amazon EKS excels in robust infrastructure and orchestration capabilities.
Features: Snyk's integration with development tools enables quick detection and fix of vulnerabilities, supported by accurate vulnerability databases and Slack notifications. Its container security feature equips developers with insights into application and container vulnerabilities. Amazon EKS provides powerful orchestration for efficient microservice deployment and management, alongside automated scaling and resource management, supporting robust cloud infrastructure.
Room for Improvement: Snyk could enhance its static analysis and include runtime components for deeper DevOps pipeline integration. Additional plugin integrations and improved filtering systems for notifications are desired. Amazon EKS should focus on stability improvements and simplifying configuration processes. Its pricing complexity and the difficulty in maintaining updates could deter smaller businesses.
Ease of Deployment and Customer Service: Snyk offers versatile deployment options across various clouds, benefiting from highly responsive customer support with dedicated success managers. Amazon EKS, while providing sophisticated deployment capabilities for large-scale operations, may not match Snyk's personalized customer support approach.
Pricing and ROI: Snyk provides competitive pricing beneficial for small to mid-sized enterprises with immediate ROI, offering licensing based on committers. Although Amazon EKS is percieved as more expensive, it justifies its cost through extensive infrastructure features and scalability, though initial costs may deter smaller enterprises.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
We have a paid subscription that provides priority support.
Amazon's technical support is quite good, especially for those who purchase support services.
Having to know what questions to ask is essential.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
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.
It can scale very well according to needs, and it doesn't have any issues with scalability.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Amazon EKS is very stable, and when properly configured, I rate it ten out of ten.
Amazon EKS is stable.
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.
A UI could help generate config files, simplifying the process for developers who are not architects.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
The inclusion of AI to remove false positives would be beneficial.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
Now, it stands at six or seven due to optimizing our workload.
Snyk is recognized as the cheapest option we have evaluated.
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.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
Snyk helps detect vulnerabilities before code moves to production, allowing for integration with DevOps and providing a shift-left advantage by identifying and fixing bugs before deployment.
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.
Snyk's AI Trust Platform empowers developers to innovate securely in AI-driven environments, ensuring rapid and secure software development with enhanced policy governance.
Snyk’s platform integrates AI-ready engines across the software development lifecycle, offering broad coverage with high speed and accuracy essential for fast-paced coding environments. AI-driven features include visibility, prioritization, and tailored security policies that enable proactive threat prevention and quick remediation. By focusing on LLM engineering and AI code analysis, Snyk supports secure and productive development processes. The platform's partnerships, including GenAI code assistants, enhance AI application security by addressing new threats and code velocity challenges.
What are the key features of Snyk?Snyk is implemented across industries focusing on agile development and DevSecOps, enhancing software delivery speed and security. It is widely used for continuous monitoring and adherence to security and licensing standards, especially in environments relying on Docker image security and CI/CD pipeline integration.
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