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Based on our record, Docker Secrets should be more popular than Vault by HashiCorp. It has been mentiond 23 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.
Before you start, just a friendly reminder that HashiQube by default runs Nomad, Vault, and Consul on Docker. In addition, we’ll be deploying 21 job specs to Nomad. This means that we’ll need a decent amount of CPU and RAM, so Please make sure that you have enough resources allocated in your Docker desktop. For reference, I’m running an M1 Macbook Pro with 8 cores and 32 GB RAM. My Docker Desktop Resource... - Source: dev.to / over 2 years ago
When running cron jobs on Amazon EC2, you can, for example, use a secrets store like Vault. With Vault, your cron jobs can dynamically get the credentials they need. The secrets don’t get stored on the machine that’s running the cron jobs, and if you change a secret, the cron jobs will automatically receive that change. The downside of implementing a solution like Vault, however, is the overhead of managing the... - Source: dev.to / about 3 years ago
Vaultproject.io handles secrets management, so dynamic policies deal with database creds etc. "Manual" creds are stored in 1password or lastpass and added manually to Vault if it needs rebuilding. Source: over 3 years ago
It's all in the blog series, including sample configuration, but it's vaultproject.io and it allows you to do everything from managing simple secrets to auto-rotation of database credentials or even run your own KPI setup. Source: over 3 years ago
Our team is experimenting with Hashicorp Vault as our new credentials management solution. Thanks to the offical Vault Helm Chart, we are able to get an almost production-ready vault cluster running on our Kubernetes cluster with minimal effort. - Source: dev.to / almost 4 years ago
For more information, refer to the official Docker documentation on secrets. - Source: dev.to / about 2 months ago
Storing sensitive information like passwords, API keys, and other secrets directly in your Dockerfile or Docker Compose file is a security risk. Instead, use Docker secrets for managing this sensitive data. - Source: dev.to / 7 months ago
Yes, swarm is not deprecated. I haven't used it myself yet, but I read elsewhere that swarm offers an easy way to manage secrets with containers. Some people run their 1 container in a swarm cluster with 1 node just for this feature. I see it's even officially suggested as a Note in the doc: > Docker secrets are only available to swarm services, not to standalone containers. To use this feature, *consider adapting... - Source: Hacker News / 8 months ago
The solution is to keep your images clean of any sensitive data. Instead, use environment variables, Docker secrets, or dedicated secrets management tools to handle sensitive information. - Source: dev.to / 9 months ago
Docker has revolutionized the way we build, ship, and run applications. However, when it comes to handling sensitive information like passwords, API keys, and certificates, proper security measures are crucial. Docker secrets provide a secure and convenient way to manage sensitive data within containers. - Source: dev.to / almost 2 years ago
KeePass - KeePass is an open source password manager. Passwords can be stored in highly-encrypted databases, which can be unlocked with one master password or key file.
VAULT - A password manager for freelancers, developers, agencies, IT departments and teams. VAULT safely stores account information and makes it easy to share between co-workers, other team members and clients.
Doppler - Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale.
EnvKey - Protect API keys and credentials. Keep configuration in sync everywhere.
AWS CloudHSM - Data Security
Infisical - Infisical is an open source, end-to-end encrypted platform that lets you securely sync secrets and configs across your engineering team and infrastructure