SuprSend provides scalable notification infrastructure to trigger workflow-based transactional notifications, run CRONs, and engagement campaigns.
Try for free: https://app.suprsend.com/en/signup/
Built for: # Startups (0-1) # Scaling Startups with Infra needs # B2B2C, B2B & B2C Companies # Enterprises. Send workflow-triggered notifications via single API integration to multiple channels.
How do you trigger communications on SuprSend notification system?
You can trigger communications in one of two ways: Send events to SuprSend from your frontend clients (android app, website, etc) via SuprSend Client SDK, and create a Workflow on SuprSend platform to trigger communication on an event.
Create workflow and trigger communication from your backend using an omnichannel HTTPS API method, or use our Backend SDK.
All the other components (like vendors, templates, optimization, scaling, etc.) are created and managed on the SuprSend platform.
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SuprSend's answer:
Single API to deliver all product notifications with multiple channels. It makes the Dev's and PMs life easier by just calling the API and getting the work done.
SuprSend's answer:
SuprSend notification infrastructure API offers discounted startups package. Moreover we have a user churn rate of less than 1%, signalling our robust product and customer support.
SuprSend's answer:
Dev teams who wants an abstraction for their current hassle around notification. Product teams who want to have visibility and control over notification logic and workflows.
SuprSend's answer:
The founders worked in companies at CTO, CPO level positions, saw a constant and recurring need to revamp notification engines, or maintain it. That led to an idea to create a notification infrastructure as a service platform for product notifications.
SuprSend's answer:
Front End: React, Java, Flutter, Angular Backend: Python, Go, Node, JS, Nextjs ++
We are constantly rolling out support for newer tech stacks.
SuprSend is a good tool for steamlining complete notification system, Using it for templating across push, app inbox and emails. Provides good observability and built in retrying mechanisms.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 68 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 / 14 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 25 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
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 5 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
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