Apply schemas to Kafka Topics
Unveiling User Patterns using real-time data preperation
THE STORY
Serving multiple use cases and a growing number
of in-house customers with real-time events than ever
before.
CHALLENGES
Making it hard for devs and data teams to keep pace and adapt their
pipelines.
Here are the roadblocks to deploying new event-driven
features:
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Implement some SDK and best practices
Highly coupled code
No code reuse
It takes valueable dev time
Hard to debug and troubleshoot
Yet another task on the sprint
THE SOLUTION
A Dev-first Platform, Created To Equip Any Developer With Data
Engineering
Superpowers
By
Developing Or Employing Serverless
Functions For Instant Stream Processing.
Logs Collection
User Traces
Data Prepping
DB Migration
Data Scrubbing
PII Cleaning
FUNCTIONS
Code Reuse
Rapid development
Serverless
Error handling
Observability
GitOps
Logs Collection
User Traces
Data Prepping
DB Migration
Data Scrubbing
PII Cleaning
FUNCTIONS
Code Reuse
Rapid development
Serverless
Error handling
Observability
GitOps
Broker
Cost-effective
Dead-letter
Schema Validation
Autonomous
Storage Tiering
Step 1: Write your function
Memphis.dev makes it easy to get started on your event-driven journey. The first step is to write your function. This should be done as if you were writing code for AWS Lambda.
We will take care of the boilerplate, orchestration, scale, monitoring, error handling, and more.
Join the private betaStep 2: Connect your git repository
By connecting Memphis to your git repository, validated functions will be fetched seamlessly, and automatically track changes.
Once connected, Memphis will form an easy-to-use interface for managing and viewing your entire functions in one shared library.
Join the private betaStep 3: Build a pipeline
Once your streams are set up and configured, it’s time to attach functions that will process the events ingested into your streams.
Join the private betaCHALLENGES
Learn, get inspired, and build better pipelines using architectural best practices
Unveiling User Patterns using real-time data preperation
Chief Data Scientist // JFrog
Unveiling User Patterns using real-time data preperation
Chief Data Scientist // JFrog
Unveiling User Patterns using real-time data preperation
Chief Data Scientist // JFrog
WHY MEMPHIS FUNCTIONS
Memphis Functions allows you to process events in the most
popular programming
language of your choice.
Eliminate the hassle of error handling, dead-letter queues, retries, and offsets. Just write clients using “Functions.”
Join the private betaSay goodbye to crafting wrappers, clients, schemas, and libraries. Let Functions handle that for you.
Join the private betaLorem ipsum. Lorem ipsum. Lorem ipsum. Lorem ipsum.
Join the private betaWHY MEMPHIS FUNCTIONS
Memphis Functions is fully compliant with GDPR / SOC2 Type 1 & 2
Support across 3 different TZs
Deployments
Stars in GitHub
WHAT CAN BE ACHIEVED?
Prepare and push users traces to your CRM
Collect, filter and prepare logs before storing
Clean, transform, and prepare your events before storing them.
Convert your NoSQL events to SQL format as they migrate to the new database
Identify and correct errors or inconsistencies in datasets to improve data quality
Real-time removal process for eliminating PII from a dataset to protect privacy and compliance.
Trigger webhooks according to a specified payload
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