TeamPassword was founded to make it easier to share and update team passwords safely. We use best practice encryption methods, have a built-in password generator, optional mandatory 2FA, and Google SSO. TeamPassword's mobile apps and browser extensions make accessing team records easy - giving teams the access they need when they need it.
We believe good password security doesn't need to be complicated. We also believe that the easier the security tool, the more likely people will use it and the safer the team will be.
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TeamPassword's answer
Small to medium-sized businesses that either don't have a dedicated IT team or do have one that is already working at capacity. Agencies, nonprofits, brick and mortar stores that are looking for something that works, but isn't complicated.
TeamPassword's answer
If you're looking to simplify your life instead of adding one more complex tool to your suite of tools. If you're looking to safely store and share access to online accounts with others. If your organization lacks a dedicated IT team with the bandwidth to micromanage your users.
TeamPassword's answer
TeamPassword's answer
TeamPassword was created in 2012 as an internal tool to help with employee onboarding and offboarding. The purpose was to simplify the process by allowing admins to share and unshare a group of records with one click of a button.
Based on our record, Dagster seems to be more popular. It has been mentiond 3 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.
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 16 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 2 months ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago
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