Aptible Deploy (formerly Aptible Enclave) is a container orchestration platform built for developers that automates security best practices and controls needed for deploying and scaling Dockerized apps in regulated industries. Aptible Deploy is ISO 27001-certified and can be used to support requirements for HIPAA, ISO 27001, SOC 2, NIST 800-53, and other frameworks.
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CloudFoundry
Score 10.0 out of 10
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CloudFoundry is a free, open source cloud computing platform supported by the non-profit CloudFoundry. It is not tied to any particular cloud service, but can be self-hosted or run on any cloud service preferred.
From my experience with the Virtual Private Cloud, Aptible Deploy is easier to work with from both a visual and command standpoint. There is much better documentation, and the product is more intuitive. Log setup is also easier for LogDNA and NewRelic integrations. I do believe …
Aptible Deploy excels over Heroku in its emphasis on security for healthcare institutions with higher compliance requirements. Aptible Deploy would allow for a full-service deployment without having to outsource parts of security or compliance to another platform, enabling a …
I've not used another tool. This is my first tool, except for ELK and Splunk. It's nothing like those so I really can't compare. ELK and Splunk are visibility tools that help you analyze data. Aptible Deploy is different from those, it's specific to showing you areas to work on …
Aptible makes managing HIPAA/HITRUST compliance simpler when compared to Microsoft Azure. Passing audits is technically easier when using Aptible. Aptible provides a log drain to deliver logs via Syslog or HTTPS for long-term log storage. Microsoft Azure does not have a portal …
Aptible is basically like Heroku for highly regulated environments. It's not quite as mature a product as Heroku in terms of a broad feature set. Still, for most applications, it will have the necessary features, along with automatic compliance controls.
While I haven't used many platforms for app deployment, I've worked with development teams and implemented both Bamboo and AWS CodeDeploy to automate deployments. Both had a high learning curve that made it difficult to get teams on board.
While Docker shines in providing support for volumes and stateful instances, Cloud foundry shines in providing support for deploying stateless services.
Heroku shines in integrating with Git and using commits to git as hooks to trigger deployments right from the command line. …
Would use this product from proof of concept all the way to production at scale. Aptible Deploy will allow users to iterate more quickly on their applications or software product deployments, this will enable faster product creation, and does outsource and automate significant DevOps expertise. For a small organization or startup, this will drive a huge advantage towards being product or customer-focused. For a large organization, this could outsource a lot of resource allocation for just a simple web application that needs to have tight security requirements that are auditable.
Support for Orgs and Spaces that allow for managing users and deployables within a large organization.
Easy deployment, deploying code is as simple as executing single line from CLI, thanks to build-packs.
Solid and rich CLI, that allows for various operations on the instance.
Isolated Virtual Machines called Droplets, that provide clean run time environment for the code. This used to be a problem with Weblogic and other application servers, where multiple applications are run on the same cluster and they share resources.
SSH capability for the droplet (isolated VM's are called droplets), that allows for real time viewing of the App code while the application is running.
Support for multiple languages, thanks to build-packs.
Support for horizontal scaling, scaling an instance horizontally is a breeze.
Support for configuring environment variable using the service bindings.
Supports memory and disk space limit allocation for individual applications.
Supports API's as well as workers (processes without endpoints)
Supports blue-green deployment with minimal down time
Does not support stateful containers and that would be a nice to have.
Supports showing logs, but does not persist the logs anywhere. This makes relying on Cloud Foundry's logs very unreliable. The logs have to be persisted using other third party tools like Elk and Kibana.
From my experience with the Virtual Private Cloud, Aptible Deploy is easier to work with from both a visual and command standpoint. There is much better documentation, and the product is more intuitive. Log setup is also easier for LogDNA and NewRelic integrations. I do believe the IBM Cloud toolchain service still allows for more customizability, but that comes at the cost of simplicity and ease of use. It is also a significant positive for Aptible Deploy that compliance is constantly monitored, with clearly included guidelines on how to meet the respective protocols.
While Docker shines in providing support for volumes and stateful instances, Cloud foundry shines in providing support for deploying stateless services. Heroku shines in integrating with Git and using commits to git as hooks to trigger deployments right from the command line. But it does not provide on-premise solution that Cloud foundry provides.
Positive impact, since it simplifies the deployment time by a huge margin. Without cloud foundry, deploying a code needs coordination with infrastructure teams, while with cloud foundry, its a simple one line command. This reduces the deployment time from at least few hours to few minutes. Faster deployments promote faster dev cycle iterations.
Code maintenance such as upgrading a Node or Java version is as simple as updating the build-pack. Without cloud foundry, using web logic, the specific version only supports a specific version of Java. So updating the version involves upgrading the version of web logic that needs to involve few teams. So without cloud foundry, it takes at least few days, with cloud foundry, its a matter of few mins.
Overall, happier Developers and thats harder to quantify.