THE SOLUTION
Memphis Functions
A Dev-first Platform, Created To Equip Any Developer With Data Engineering Superpowers By Developing Serverless Functions For Stream Processing.
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:
Data is constantly evolving and
new business requirements continually arise.
CHALLENGES
Hard to debug and troubleshoot
No code reuse
Highly coupled code
Yet another task on the sprint
It takes valuable dev time
THE STORY
More and more organizations are leveraging real-time events
Serving multiple use cases and a growing number
of in-house customers with real-time events than ever before.
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.
Step 1: Write your function
COMPLIANT. PERFORMENT. SUPPORTED.
More on Memphis.dev
SOC2
Memphis Functions is fully compliant with GDPR / SOC2 Type 1 & 2
+5K
Deployments
24/7
Support across 3 different TZs
+3K
Stars in GitHub
How Functions Can Help
Memphis.dev Well-Architected
Learn, get inspired, and build better pipelines using architectural best practices
Tech Lead // Memphis.dev
Shay Bratslavsky
Ensuring Data Consistency and Structure using Memphis Functions
Lead Architect // Memphis.dev
Daniel David
Craft Personalized Purchase Actions through Event-Driven Strategies
Sr. Software Engineer // Memphis.dev
Shoham Roditi
Unveiling User Patterns using real-time data preperation
WHY MEMPHIS FUNCTIONS
Built For All. Faster to Develop.
Easier to Maintain.
WHAT CAN BE ACHIEVED?
Use Cases Examples
WHAT CLIENTS SAY
Testimonials
All that time you spend scaling, managing, and maintaining Kafka is better spent building your actual product. Memphis frees you to do just that.
Drew Carlyle
Client Review
WHAT CLIENTS SAY
Testimonials
All that time you spend scaling, managing, and maintaining Kafka is better spent building your actual product. Memphis frees you to do just that.
Drew Carlyle
Client Review
WHAT CLIENTS SAY
Testimonials
All that time you spend scaling, managing, and maintaining Kafka is better spent building your actual product. Memphis frees you to do just that.
Drew Carlyle
Client Review
Frequently Asked Questions
Memphis Functions serves as a consumer of Memphis Broker or similar systems such as Kafka. Listening to new events. When a new event is detected, it is held in a buffer until filled according to a user-defined size. At this point, the events are processed based on the attached functions. Subsequently, the batch can be directed to another topic or directly consumed by clients through Memphis.
Functions provides a cohesive stream processing framework, enabling developers to craft data processing logic through the utilization of AWS Lambda API and SDKs available in Go, Node.js, Java, Scala, .NET, or Python.
Memphis Functions is compatible with a variety of sources and destinations, including Memphis.dev Broker, Kafka, SQS, NATS, PubSub, and, of course, permits any application to produce and consume events via API calls.
One of the outstanding features of Functions is that your events consistently persist within your data source and get acknowledged by Functions Consumer Group only. Users have the liberty to define their desired order, which can follow a First-In-First-Out (FIFO) arrangement.
Memphis Functions will invariably initiate consumption from the most recent offset within the topic.
The pricing for Memphis Functions is an integral component of the Memphis platform, determined by the volume of data transferred.
For further details, explore here.
Highly coupled code to a specific flow or type of events.
Making it hard for dev and data teams to keep pace and adopt the processing to the changes and needed evolvments, including:
No code reuse, share, or collaboration.
Debugging and troubleshooting is a mess.
