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  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Memcached Cloud vs Serverless

Memcached Cloud vs Serverless

OverviewDecisionsComparisonAlternatives

Overview

Memcached Cloud
Memcached Cloud
Stacks12
Followers16
Votes24
Serverless
Serverless
Stacks2.2K
Followers1.2K
Votes28
GitHub Stars46.9K
Forks5.7K

Memcached Cloud vs Serverless: What are the differences?

Introduction

In this Markdown code, we will compare the key differences between Memcached Cloud and Serverless. These differences will help users understand the specific advantages and characteristics of each platform.

  1. Deployment and Management: Memcached Cloud is a fully managed, cloud-based solution that handles the deployment and management of the Memcached clusters, ensuring high availability and automatic scaling. On the other hand, Serverless requires manual configuration and management of the serverless functions, which can be time-consuming and requires in-depth knowledge of the underlying infrastructure.

  2. Compute Infrastructure: Memcached Cloud runs on dedicated compute infrastructure, providing consistent performance and low latency. It is specifically optimized for caching purposes, offering a high-speed, in-memory caching solution. In contrast, Serverless utilizes shared compute resources that can vary in performance depending on the current demand and usage of the platform.

  3. Pricing Structure: Memcached Cloud pricing is based on the desired capacity and number of nodes, allowing for more predictable costs. It offers different plans that cater to various needs and usage patterns. Serverless, on the other hand, follows a pay-per-use model, where users are billed based on the actual consumption of resources. This flexible pricing can be advantageous for sporadic workloads but might become costlier for consistently high traffic applications.

  4. Ease of Use: Memcached Cloud provides a user-friendly interface and simple APIs, enabling easy integration and deployment. It abstracts the complexities of setting up and managing a caching layer, allowing developers to focus on their core business logic. Serverless requires more development effort to build and configure serverless functions, requiring a solid understanding of event-driven programming and cloud infrastructure.

  5. Scaling: Memcached Cloud supports automatic scaling, adapting to changes in traffic and workload patterns. It can handle spikes in demand efficiently, ensuring optimal performance during peak times. Serverless also scales automatically but it might experience cold starts when a function is invoked after a period of inactivity, leading to slight delays in response time.

  6. Data Persistence: Memcached Cloud provides the ability to persist data by taking periodic snapshots or leveraging replication options. This ensures data durability and allows for quick data recovery in case of failures. Serverless, being a stateless compute platform, does not offer built-in data persistence options. Instead, external services like databases or object storage are typically used to store and retrieve data.

In summary, Memcached Cloud offers managed caching with optimized performance, predictable pricing, and easy scalability, while Serverless provides a flexible and event-driven compute platform that requires manual configuration and lacks built-in data persistence.

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Advice on Memcached Cloud, Serverless

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments

Detailed Comparison

Memcached Cloud
Memcached Cloud
Serverless
Serverless

Memcached Cloud is a fully-managed service for running your Memcached in a reliable and fail-safe manner. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes.

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

true high-availability;fast storage engine;backups and imports;infinite seamless scalability;predictable high-performance;multiple buckets in a plan;ssl authentication & encryption;email alerts;fully-automated service;24/7 monitoring & support
-
Statistics
GitHub Stars
-
GitHub Stars
46.9K
GitHub Forks
-
GitHub Forks
5.7K
Stacks
12
Stacks
2.2K
Followers
16
Followers
1.2K
Votes
24
Votes
28
Pros & Cons
Pros
  • 6
    High-availability
  • 6
    Heroku add-on
  • 3
    Fast
  • 2
    Fail-safe
  • 2
    Email alerts
Pros
  • 14
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 3
    Lower cost
  • 1
    Openwhisk
  • 1
    Auto scale
Integrations
Amazon S3
Amazon S3
Redis
Redis
Heroku
Heroku
Memcached
Memcached
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway

What are some alternatives to Memcached Cloud, Serverless?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Amazon ElastiCache

Amazon ElastiCache

ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

MemCachier

MemCachier

MemCachier provides an easy and powerful managed caching solution for all your performance and scalability needs. It works with the ubiquitous memcache protocol so your favourite language and framework already supports it.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

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