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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IBM Cloud Functions
Score 8.0 out of 10
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IBM Cloud Functions is a PaaS platform based on Apache OpenWhisk. With it, developers write code (“actions”) that respond to external events. Actions are hosted, executed, and scaled on demand based on the number of events coming in. No servers or infrastructure to provision and manage.
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.
AWS Lambda is 100 times more robust than IBM cloud functions. They essentially do the same thing, but AWS works. AWS is stable. we have had epic failures with cloud functions. Support was horrible. We literally had an open ticket with them for 2 months and it literally went …
AWS Lambda might be more suited for larger scaled companies looking to consistently access similar features at a higher volume/frequency, but for smaller teams with a limited budget, IBM's Cloud Functions are a competitive choice
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.
IBM Cloud Functions [is] not the worse product on the IBM cloud. I decided to write this review as I thought it would be balanced. I would still use functions to set up a serverless architecture where execution time is pretty quick and the code is relatively simple. I wouldn't use IBM Cloud Functions for async calls obviously, as costs could be higher. The functions documentation is lacking in terms of CI/CD, and there are unexplainable errors occurring - like the network connection that I mentioned. So I wouldn't just rely on IBM Cloud Functions too much for the entire system, but make sure it's diversified.
Validate raw data files - check the validity of raw data input to the system, to make sure we analyze only the relevant data. The raw data stream rate is hard to be predicted, since it depends on real world activities.
Analyze raw data - analyzing of valid raw data, described above.
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.
AWS Lambda is 100 times more robust than IBM cloud functions. They essentially do the same thing, but AWS works. AWS is stable. we have had epic failures with cloud functions. Support was horrible. We literally had an open ticket with them for 2 months and it literally went nowhere. They said it could do 100 calls a minute. We proved over and over that we couldn't get above 20 without getting failures. They had NO explanation whatsoever. The ticket got closed because we were tired of asking them questions and getting no understandable or usable response.