NewRelic

Website

newrelic.com

Pricing URL

Official NewRelic Pricing

Categories

#Application Performance Monitoring #Performance Monitoring #Monitoring Tools #Log Management

Google Kubernetes Engine

Website

cloud.google.com

Pricing URL

-

Categories

#Developer Tools #Containers As A Service #DevOps Tools #Cloud Computing

NewRelic features and specs

• Comprehensive Monitoring
  New Relic provides a wide range of monitoring capabilities including application performance, infrastructure, and real user monitoring, offering a holistic view of your system's health.
• Real-Time Data
  New Relic offers real-time analytics and insights, enabling quick identification and resolution of issues as they occur.
• Advanced Alerting
  New Relic's advanced alerting system allows you to set customizable thresholds and get notified through various channels, helping to proactively manage potential issues.
• User-Friendly Interface
  The platform features an intuitive, user-friendly interface that makes it easy to navigate and visualize data, even for less experienced users.
• Integration Capabilities
  New Relic integrates seamlessly with many other tools and platforms, making it easy to incorporate into existing workflows.
• Scalability
  Whether you have a small startup or a large enterprise, New Relic scales easily with your growing needs.
• Comprehensive Documentation and Support
  New Relic offers extensive documentation and a variety of support options including forums, customer support, and a vibrant community.

Possible disadvantages of NewRelic

• Cost
  New Relic can be expensive, especially for smaller businesses or startups that may not have a large budget for monitoring tools.
• Complexity
  While New Relic offers a lot of features, it can also be complex to set up and configure, requiring significant time and expertise.
• Performance Impact
  In some cases, the agents and monitoring tools can add overhead to the monitored systems, potentially affecting performance.
• Data Storage Limits
  Lower-tier plans come with limits on data retention and storage, which may not be sufficient for some businesses with high data requirements.
• Steep Learning Curve
  The breadth of features and capabilities can result in a steep learning curve for new users, making it challenging to fully leverage the platform's potential quickly.

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.

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

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