Vault VS Grafana

HashiCorp Vault

For a more comprehensive and robust secret management solution, get your hands on tools like GCP Secret Manager, or HashiCorp Vault. They're like the security guards of your secrets, providing a safe house, access control, and keeping logs of who’s been snooping around.

HashiCorp Vault is a popular tool for managing secrets in Kubernetes clusters. It offers advanced features such as secure storage, encryption, dynamic secrets generation, and integration with Kubernetes through its Kubernetes authentication method.

So you've just bought a new platform tool? Maybe it's Hashicorp Vault? Snyk? Backstage? You’re excited about all of the developer experience, security and other benefits you're about to unleash on your company—right? But wait…

You seem to be looking for a cross-platform solution, and https://www.vaultproject.io/ provides just that. If everything was in AWS, AWS Secret Manager might be great, but imo Vault provides much better platform-agnostic capabilities.

https://github.com/openwrt/luci/blob/master/applications/luc...

https://developer.hashicorp.com/vault/tutorials/secrets-mana... https://github.com/hashicorp/vault :

> Refer to Build Certificate Authority (CA) in Vault with an offline Root for an example of using a root CA external to Vault.

Secret Management: Securely stores sensitive configuration data and secrets using tools like AWS Secrets Manager or HashiCorp Vault. Avoid hardcoding secrets in code or configuration files.

The author of this tool basically took the Shamir code from Hashicorp Vault, which is pretty mainstream. If you're looking for a solid implementation, I would start there[0]. I wouldn't use the Shamir code from this repo, as it's an old version of the vault code using field arithmetic that doesn't run in constant time.

[0]: https://github.com/hashicorp/vault/blob/main/shamir/shamir.g...

Out of curiosity, what do you mean by this? cross-cluster? they already have HA: https://github.com/hashicorp/vault/blob/v1.14.1/website/cont...

while digging up that link, I also saw one named replication: https://github.com/hashicorp/vault/blob/v1.14.1/website/cont...

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.