Prometheus

Website

prometheus.io

$ Details

Categories

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

JSON Web Token

Website

jwt.io

$ Details

Categories

#Identity Provider #Identity And Access Management #SSO #Development

Prometheus features and specs

• Powerful Query Language
  Prometheus uses PromQL, a flexible and powerful query language that allows for complex and detailed queries.
• Dimensional Data Model
  Prometheus employs a multidimensional data model with time series data identified by metric name and key-value pairs, offering great flexibility in data organization.
• Auto-Discovery
  It supports service discovery mechanisms to automatically locate and scrape metrics from jobs, simplifying the monitoring process.
• Alerting
  Prometheus includes built-in alerting capabilities that allow you to trigger alerts based on PromQL queries, which can be integrated with different alert management systems.
• Scalability
  Its architecture, which uses independent single servers, scales well, allowing you to handle a large number of time series efficiently.
• Open Source
  Prometheus is open-source and supported by a large community, offering transparency, regular updates, and numerous integrations.
• Easy Integration
  Thanks to its compatibility with various data exporting standards and a myriad of existing exporters, integrating Prometheus into existing systems is streamlined.

Possible disadvantages of Prometheus

• Single Points of Failure
  Prometheus instances operate independently, meaning that if a server goes down, the metrics it monitored will be unavailable unless replicated manually.
• Storage Overhead
  Prometheus can consume significant storage, especially for high-resolution time series data, which might necessitate careful planning and management.
• Limited Long-Term Storage
  By default, Prometheus is not designed for long-term storage of metrics and may require integration with other systems like Thanos or Cortex for this purpose.
• Complexity for Beginners
  The sheer number of features and the complexities associated with PromQL can present a steep learning curve for newcomers.
• Scaling Write Operations
  In high-scale environments, write operations might become a bottleneck due to the single-server nature of the Prometheus architecture.
• Lack of Native High Availability
  While Prometheus supports running multiple instances, it does not provide built-in high availability features out-of-the-box, necessitating additional configurations.
• No Built-in Authentication and Authorization
  Prometheus lacks native support for secure authentication and authorization, which means these features must be externally managed.

JSON Web Token features and specs

• Stateless
  Since JWTs are self-contained, they do not require server-side sessions, enabling stateless authentication and reducing server memory usage.
• Scalability
  JWTs can easily be used in distributed systems and microservices architectures due to their stateless nature, facilitating horizontal scaling.
• Decentralized Issuance
  Multiple issuers can create and sign their own tokens, allowing for more decentralized and flexible authentication mechanisms.
• Performance
  JWTs eliminate the need for database lookups during authenticating requests, as the token contains all the necessary information, which can lead to performance improvements.
• Cross-domain and Mobile Compatible
  JWTs are widely supported by different platforms and can easily be used in cross-domain situations and with mobile applications.
• Security
  JWTs can be signed and optionally encrypted, ensuring the authenticity and integrity of the data they carry.

Possible disadvantages of JSON Web Token

• Size
  JWTs tend to be larger than session IDs, which can increase the amount of data transmitted during requests.
• Expiration Handling
  Managing token expiration can be complex. Once a token is issued, it remains valid until it expires or is explicitly revoked.
• No Built-in Revocation
  Unlike sessions, JWTs cannot be easily revoked server-side, making it difficult to immediately invalidate tokens without additional mechanisms.
• Security Risks
  If a JWT is intercepted or compromised, it can be used until it expires. Thus, it should be properly secured and transmitted over HTTPS.
• Token Overhead
  Embedding too much information in the token payload can lead to performance overhead and potential data exposure risks.
• Complexity
  Implementing JWT correctly requires a thorough understanding of security practices and token lifecycle management, which can add complexity to the system.

How Prometheus Monitoring works | Prometheus Architecture explained

JSON Web Tokens Suck - Randall Degges (DevNet Create 2018)

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