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Google Kubernetes Engine VS AWS Secrets Manager

Compare Google Kubernetes Engine VS AWS Secrets Manager and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Google Kubernetes Engine logo Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

AWS Secrets Manager logo AWS Secrets Manager

AWS Secrets Manager to Rotate, Manage, Retrieve Secrets
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05
  • AWS Secrets Manager Landing page
    Landing page //
    2023-03-15

Google Kubernetes Engine features and specs

  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages of Google Kubernetes Engine

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.

AWS Secrets Manager features and specs

  • Automated Secret Rotation
    AWS Secrets Manager provides built-in support for automatic rotation of secrets, which enhances security by frequently changing passwords and other sensitive information.
  • Centralized Secret Management
    You can manage all your secrets from a single location, simplifying the process of keeping track of credentials, API keys, and other sensitive data across various applications and services.
  • Integration with AWS Services
    AWS Secrets Manager is well integrated with other AWS services such as RDS, Redshift, and IAM, making it easier to manage and retrieve secrets within the AWS ecosystem.
  • Fine-Grained Access Control
    Utilizes AWS IAM to provide fine-grained access control policies, allowing you to precisely define who can access specific secrets, enhancing security.
  • Secure Secret Storage
    Secrets are stored securely using encryption standards provided by AWS Key Management Service (KMS), ensuring that the data is protected both at rest and in transit.
  • Audit and Compliance
    AWS Secrets Manager facilitates compliance with regulatory requirements by providing logging and monitoring capabilities, enabling you to track access and changes to secrets.

Possible disadvantages of AWS Secrets Manager

  • Cost
    AWS Secrets Manager can be more expensive compared to other secret management solutions, especially as the number of stored secrets and API requests increase.
  • Vendor Lock-In
    Relying on AWS Secrets Manager can increase dependency on AWS services, which might be a drawback if you are considering a multi-cloud strategy.
  • Complexity
    The integration and setup process can be complex, especially for organizations without prior AWS experience, potentially requiring a steep learning curve.
  • API Limits
    AWS imposes API request limits, which might be restrictive for applications with high-frequency secret access needs, potentially resulting in throttling issues.
  • Regional Availability
    Not all AWS regions may support Secrets Manager, which can be a constraint for global applications that require multi-region deployments.

Google Kubernetes Engine videos

+ Add

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos:

  • Review - Optimize cost to performance on Google Kubernetes Engine
  • Tutorial - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

AWS Secrets Manager videos

+ Add

Understanding AWS Secrets Manager - AWS Online Tech Talks

More videos:

  • Review - AWS Secrets Manager
  • Tutorial - Python - How to access DB credentials from AWS Secrets Manager? | AWS Secrets Manager Tutorial

Category Popularity

0-100% (relative to Google Kubernetes Engine and AWS Secrets Manager)

Google Kubernetes Engine

AWS Secrets Manager

Developer Tools
100 100%
Developer Tools
0% 0
Identity And Access Management
0 0%
Identity And Access Management
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Identity Provider
0 0%
Identity Provider
100% 100

User comments

Share your experience with using Google Kubernetes Engine and AWS Secrets Manager. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Kubernetes Engine and AWS Secrets Manager

Google Kubernetes Engine Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Google Kubernetes Engine is a CaaS (container as a service) platform that lets you easily create, resize, manage, update, upgrade, and debug container clusters. Google Kubernetes Engine, aka GKE, was the first managed Kubernetes service, and therefore, it is highly regarded in the industry.
Source: technicalustad.com
Top 10 Best Container Software in 2022
If you need a speedy creation of developer environments, working on micro services-based architecture and if you want to deploy production grade clusters then Docker and Google Kubernetes Engine would be the most suitable tools. They are very well suited for DevOps team.
Source: www.softwaretestinghelp.com
7 Best Containerization Software Solutions of 2022
If you’re looking for a managed solution to help you deploy and scale containerized apps on your virtual machines quickly, Google Kubernetes Engine is a great choice.
Source: techgumb.com

AWS Secrets Manager Reviews

We have no reviews of AWS Secrets Manager yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS Secrets Manager should be more popular than Google Kubernetes Engine. It has been mentiond 76 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Kubernetes Engine mentions (49)

  • Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI
    Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 2 months ago
  • Deploy Gemini-powered LangChain applications on GKE
    In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 3 months ago
  • Securing Applications Using Keycloak's Helm Chart
    Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
  • Simplify development of AI-powered applications with LangChain
    In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 7 months ago
  • 26 Top Kubernetes Tools
    Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
View more

AWS Secrets Manager mentions (76)

  • Your Plaintext Email is a DevSecOps Blind Spot
    A Hardened Channel for Sensitive Communication: While dedicated secrets management tools (like HashiCorp Vault, AWS Secrets Manager, etc.) are essential for storing and managing application secrets, secure E2EE email provides a significantly safer channel for human-to-human communication that might involve discussing sensitive topics, sharing unavoidable one-off credentials (with immediate rotation plans), or... - Source: dev.to / about 1 month ago
  • Building Custom Kendra Connectors and Managing Data Sources with IaC
    Some data sources are protected by some form of credentials. Unless the data source is a public website or stored in another AWS resource such as Amazon S3, Kendra or your custom data source will need credentials to fetch data. In either case, AWS Secrets Manager can be used to securely manage your credentials. - Source: dev.to / about 2 months ago
  • Deploy AWS Lambda Functions and Amazon DynamoDB with AWS CDK on LocalStack
    In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / about 2 months ago
  • Enhancing Your CI/CD Security: Tips and Techniques to Mitigate Risks
    You have to handle secrets like API keys and passwords carefully. Instead of hardcoding them into your code, you should use secure secrets management tools like HashiCorp Vault or AWS Secrets Manager. Additionally, following API key authentication best practices ensures secure handling of sensitive credentials. This keeps sensitive information protected and reduces the risk of accidental leaks. - Source: dev.to / about 2 months ago
  • Starters Guide: End-to-End Guide to Building with LLMs on SageMaker
    Credential Management: Avoid storing sensitive data like access keys directly, utilizing AWS Secrets Manager, or using environment variables. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Google Kubernetes Engine and AWS Secrets Manager, you can also consider the following products

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Microsoft Azure Active Directory - Azure Active Directory is a comprehensive identity and access management cloud solution that provides a robust set of capabilities to manage users and groups and help secure access to applications including Microsoft online services like Office 365 …

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

SecureLink for Enterprise - Privileged Access Management

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

JumpCloud - Cloud-based directory services. Alternative to Microsoft Active Directory.

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