Apply schemas to Kafka Topics
Unveiling User Patterns using real-time data preperation
A Dev-First Framework, Designed to Provide Developers with a Self-Service Catalog for
Data Engineering Functions, Tailored for Building Highly Customizable Real-Time Data Pipelines
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.
Some of the challenges that slow you down -
Implement some SDK and best practices
Error handling
Monitoring and logging
Performence optimizations
Deploy to dev/stage/production
Scaling
High Availability and Fault Tolerance
A new use case arrived :(
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 Gateway For Transforming, Enriching, And Processing Events In Real-time.
Compatible With Leading Streaming Platforms.
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
Eliminate the need for boilerplate, error handling, retry strategies, and monitoring. Concentrate on the core logic, and let Memphis handle the rest.
Start nowStep 2: Connect your git repository
Seamless integration with your development process! Simply commit your code to a Git repository, pass it through your CI/CD pipeline, and Memphis will automatically synchronize with your designated master branch.
Start nowStep 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.
Start nowHOW FUNCTIONS CAN HELP
Learn, get inspired, and build better pipelines using architectural best practices
Unveiling User Patterns using real-time data preperation
Tech Lead // Memphis.dev
Unveiling User Patterns using real-time data preperation
Sr. Software Developer // Memphis.dev
Craft Personalized Purchase Actions through Event-Driven Strategies
Platform Architect // Memphis.dev
WHY MEMPHIS FUNCTIONS
Memphis Functions allows you to process events in the most popular programming language of your choice.
Start nowUtilize Memphis Functions as your central function library to avoid repetitive coding. Additionally, support for 'backstage' is coming soon! :)
Start nowYour streaming platform is better with Memphis Functions on its side! For replacing clients, enforcing schemas, and directly connecting to your required sinks.
Start nowThink of the time savings you could achieve with an AI assistant for coding and Memphis Functions for efficient deployment.
Start nowCOMPLIANT. PERFORMANT. SUPPORTED.
Memphis Functions is fully compliant with GDPR / SOC2 Type 1 & 2
Support centers across 3 different TZs
Contributors to the open-source project
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
Process your data before it reaches the warehouse to minimize extra expenses.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |