PullNotifier
Axolo
Axolo for GitLab
Actioner
PRFlow.dev
Pullflow
Spoke.ai
GitHub
Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
DynamoDB
Google App Engine
Amazon AWS
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
PullNotifier Amazon S3Based on our record, Amazon S3 seems to be a lot more popular than PullNotifier. While we know about 214 links to Amazon S3, we've tracked only 1 mention of PullNotifier. 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.
The PullNotifier slack app Thoughts: We found this to be the best solution to match our needs. It sent a notification when a pull request was opened (not draft), then updated that same message with the realtime status of the app - so it didn't spam us with messages + we instantly knew when we checked our Slack channel which pull requests were yet to be reviewed/checked. - Source: dev.to / over 2 years ago
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / about 2 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / 2 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 3 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 3 months ago
All fine-tuning used Amazon SageMaker Training Jobs โ no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 5 months ago
Axolo - Reduce pull request time & ship code faster
AWS Lambda - Automatic, event-driven compute service
Axolo for GitLab - Review merge requests faster.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Actioner - Actioner brings Slack-first experience to knowledge workers. Implement cross-tool workflow automation. Utilize your tech stack without any limitations right in Slack.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.