Lambda land: Running a serverless ticketing platform for less than $2 a month

•Download as PPTX, PDF•

0 likes•306 views

The presentation covers the various aspects involved in a ticketing platform, architectural design decisions made, discussing the pros and cons of the decisions while considering various factors like cost, scalability, performance and security etc.

Software

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lambda Land:
Running a Serverless Ticketing
Platform for Less Than $2 a
Month
SRUSHITH R | 06 Oct, 2018
@SrushithR

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Serverless architectures refer to applications
that significantly depend on third-party
services (knows as Backend as a Service or
"BaaS") or on custom code that's run in
ephemeral containers (Function as a Service
or “FaaS”)”
- Martin Fowler
https://martinfowler.com/articles/serverless.html

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Birth of Serverless

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Event
sources
Trigger
other
services
Lambda
function
s
Working with Lambdas

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How a Ticketing
Platform Works

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Ticket Purchase Flow
Successful
payment
Generate
ticket
Send
invoice
Store
participant
details

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Synchronous
Behind the Scene

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Generating a Ticket

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Generating Invoice – 3rd party API or PDF Generation Python
Module
3rd party API
E.g., invoice-generator
Python module
E.g., Reportlab
or

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lessons Learned
• 3rd party web APIs are not always reliable
• Larger dependencies increase lambda warm up
time
• Need notifications for executions that fail due to
various reasons

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Sending Invoice

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Sending Invoice – Gmail or SES or SNS
Gmail Amazon SES
or
Amazon SNS
or

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lessons Learned
• Emailing looks straight-forward but it is not
• Using SES has practical problems (E.g.,
no way to access the sent emails)
• Factors to consider: cost, spamming and
shared vs dedicated IP address

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Storing Participant
Details

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Storing Details – DynamoDB or RDS or S3
Amazon
DynamoDB
Amazon
RDS
Amazon
S3
or or

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lessons Learned
Reduce
d costs
Sub-
second
response
Better
performance
Factors to consider:

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
State Management

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
State Management – Step Function or Lambda Calling
Another Lambda
or
AWS
Step Functions
AWS
lambda calling
another lambda

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lessons Learned
• Asynchronous nature of Step functions is
at times troublesome
• Improved resiliency
• Step functions make parallel executions,
branching etc. easier
• Zero coding!

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Lambda

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Factors to
Consider
Time out Choice of
programming
language
Load testing RAM
configuratio
n

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Lambda Best
Practices
Alarms
CloudWatc
h logs
Restrictive
permissions
while using IAM
Environment
variables

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Icon Credits
• Icon made by Freepik from www.flaticon.com
• Icon made by Prosymbols from www.flaticon.com
• Icon made by Geotath from www.flaticon.com
• Icon made by Icon Pond from www.flaticon.com
• Icon made by Smashicons from www.flaticon.com
• Icon made by Smartline from www.flaticon.com
• Icon made by mynamepong from www.flaticon.com
• Icon made by Vectors Market from www.flaticon.com
• Icon made by DinosoftLabs from www.flaticon.com
• Icon made by Kiranshastry from www.flaticon.com
• Icon made by Pixel Buddha from www.flaticon.com
• Icon made by dimitry-miroliubov from www.flaticon.com

Data lakes are helping enterprises of all sizes and industries make the most of their data. However, building a data lake requires consideration of your goals and an understanding of data lakes, including data ingestion, data consumption, and usability layers. In this chalk talk, AWS experts and representatives from Sysco, a Fortune 50 company and leader in food distribution and marketing, discuss parts of a data lake, design considerations, and the pros and cons of different architectural designs. They share guidance around data tracking, costs, user access, synchronization, and data integrity so that your data lake complies with governance requirements and works towards your data goals. Sysco representatives share their data lake experiences, best practices, and lessons learned. We highlight Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.

How Websites go Serverless - WebSummit Lisbon 2018

Boaz Ziniman

Design Your Architecture for Latency-Intolerant Games (ARC207) - AWS re:Inven...

Amazon Web Services

Multiplayer games are more competitive than ever, and designing your backend architecture for the lowest possible latency is the key to giving users a fun and a fair chance. In this session, we discuss designing end-to-end architecture to create the lowest latency experience for your players around the world. We discuss how to make use of Amazon Route 53, Amazon API Gateway, AWS Lambda, and Amazon GameLift to build a low maintenance, globally distributed multiplayer infrastructure. We explore ways to connect players to low latency game servers using geolocation routing and matchmaking, and we discuss how to use metrics on player latency, wait times, and dropouts in order to quickly adjust and improve.

Scale up a Web Application (ARC409-R) - AWS re:Invent 2018

Amazon Web Services

Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018

Amazon Web Services

ALB User Authentication: Identity Management at Scale with Netflix (NET204) -...

Amazon Web Services

In the zero-trust security environment at Netflix, identity management has historically been a challenge due to the reliance on its VPN for all application access. About one year ago, Netflix began exploring various identity solutions to alleviate the operational burden of maintaining its VPN. Additionally, it was looking for ways to provide a superior user experience. Join this chalk talk to learn how Netflix solved identity management at scale.

Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...

Amazon Web Services

Migrating Single-Tenant Applications to Multi-Tenant SaaS (ARC326-R1) - AWS r...

Amazon Web Services

The appeal of SaaS has many ISVs interested in the power and value of delivering their solutions in a SaaS model. However, moving a single-tenant application to a multi-tenant environment can be daunting. In this session, we'll look at the obstacles that many ISVs face as they consider the move to a SaaS delivery model. We'll explore a wide range of transformation patterns that cover everything from lift-and-shift of your monolith to an incremental cutover to multi-tenant aware microservices, data, and infrastructure. Along the way, we'll highlight the challenges and technical considerations that shape your solution and allow you to better align your transformed solution with SaaS best practices. This includes looking at all the new architectural elements you'll need to add to your environment to support SaaS (onboarding, identity, billing, metering, analytics, and so on).

In this session, we share the top 10 lessons learned from migrating the online transaction processing (OLTP) and data warehouse (DW) databases used by Amazon.com to AWS services, such as Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. We discuss the challenges associated with operating and managing legacy OLTP and DW databases at Amazon.com scale and how the Amazon.com team successfully executed the database freedom program across different organizations and geographies.

Improve Consistency & Governance in Cross-Account & Global Deployments (DEV34...

Amazon Web Services

AWS CloudFormation StackSets was introduced in 2017 as a native way to deploy stacks across accounts and regions. Since its introduction, StackSets customers have been driving more enhancements, including supporting larger deployments and conditional parameters for safe, partial deployments. These cross-account, cross-region enhancements allow for implementation of better governance processes and improve the configuration consistency of your growing cloud resource footprint. This session covers deployment use cases made possible by leveraging AWS CloudFormation StackSets.

Don’t Wait Until Tomorrow: From Batch to Streaming (ANT360) - AWS re:Invent 2018

Amazon Web Services

In recent years, there has been explosive growth in the number of connected devices and real-time data sources. Data is being produced continuously and its production rate is accelerating. Businesses can no longer wait for hours or days to use this data. To gain the most valuable insights, they must use this data immediately so they can react quickly to new information. In this chalk talk, we discuss how to take advantage of streaming data sources to analyze and react in near-real time. In addition, we present different options for how to solve a real-world scenario and walk through those solutions.

AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...

Amazon Web Services

The document discusses AWS Storage Gateway, which allows for hybrid cloud storage architectures by enabling on-premises access and transfer of data to AWS cloud storage services. It provides an overview of Storage Gateway's file, volume, and tape gateway types. It also discusses how Kellogg's uses Storage Gateway for backup and disaster recovery, including migrating from traditional backups to using Storage Gateway to backup to S3 and EBS. Best practices for using Storage Gateway are also covered.

MassMutual Goes Cloud First with Hybrid Cloud on AWS (ENT210) - AWS re:Invent...

Amazon Web Services

In this session, we discuss how MassMutual adopts a cloud-first strategy, and we outline their journey to hybrid cloud on AWS. Specifically, we cover four aspects of MassMutual's hybrid cloud on AWS architecture: First, we talk about the use of the AWS Well-Architected Framework to create MassMutual’s cloud minimal viable product (MVP) document. Next, we do a deep dive into MassMutual's multi-account, multi-region architecture. We discuss achieving cloud governance, risk, and compliance through tooling and automation. Finally, we demonstrate how MassMutual deploys fully compliant hybrid cloud environments in less than five minutes. We also showcase some of MassMutual's actual hybrid deployments and share the benefits of using AWS.

How Amazon Video Uses DynamoDB Global Tables to Support Tens of Millions of G...

Amazon Web Services

Amazon DynamoDB global tables provide you with a fully managed, multi-region, and mutli-master database. With global tables, you can replicate table data to multiple AWS Regions for higher availability and provide your applications local access to DynamoDB tables for fast read and write performance. In this chalk talk, we dive deep on keys to success when designing global tables. Learn how to manage throughput capacity for your global table correctly and get a deep understanding of how global tables replication works. We also walk through reference architectures and examples that you can take with you to help you build and optimize your own global applications.

Access Control in AWS Glue Data Catalog (ANT376) - AWS re:Invent 2018

Amazon Web Services

Websites go Serverless - ILDevCon

Boaz Ziniman

This document discusses serverless architectures and how they can be applied to websites. It begins with an overview of what serverless means, including not having to provision or manage servers, automatic scaling, built-in availability and fault tolerance, and no costs for idle capacity. It then shows how the traditional three-tier web application architecture maps to a serverless implementation using AWS Lambda for the logic tier, API Gateway, DynamoDB, S3, and CloudFront. The document provides examples of security and authorization approaches as well as multi-region support. It concludes by demonstrating a serverless shopping site and inviting the audience to consider what they might build using these approaches.

Wellington Management: The Journey to All-In, One Data Center at a Time (FSV2...

Amazon Web Services

Colin Mazzola of Wellington Management Company discussed their company's journey to migrating all workloads and infrastructure to AWS. They began initial proof of concepts in 2009 and made the decision to fully migrate in 2014. By 2017, they had migrated their first tier 1 system and as of 2018 had over 10,000 AWS resources deployed across multiple regions. Lessons learned included defining resiliency through fault domains, automation, and disaster recovery planning as well as controlling costs through tagging, monitoring, and reserved instances.

Manage Queries, and Audit Usage & Control Costs at Scale on Amazon Athena (AN...

Amazon Web Services

Enabling Your Organization’s Amazon Redshift Adoption – Going from Zero to He...

Amazon Web Services

Ever wonder why some companies are able to achieve business goals around Amazon Redshift adoption at breakneck speed? Does figuring out the right architecture for a Amazon Redshift deployment for your organization keep you up at night? Proven patterns and “quickstart” environments are the keys to success. As a stakeholder in your company’s success, you want to bring a clear and concise business solution to the table that fits the business need. In this session, we focus on using infrastructure as code to present a variety of common Amazon Redshift deployment patterns used across other AWS customers so that you can hit the ground running. Additionally, presentations coupled with hands-on labs reinforce the patterns presented in this session.

Architecting Digital Media Archive Migrations with AWS (STG357) - AWS re:Inve...

Amazon Web Services

Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...

Amazon Web Services

Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.

Build, Deploy, and Serve Machine-Learning Models on Streaming Data Using Amaz...

Amazon Web Services

As data exponentially grows in organizations, there is an increasing need to use machine learning (ML) to gather insights from this data at scale and to use those insights to perform real-time predictions on incoming data. In this workshop, we walk you through how to train an Apache Spark model using Amazon SageMaker that is pointed to Apache Livy and running on an Amazon EMR Spark cluster. We also show you how to host the Spark model on Amazon SageMaker to serve a RESTful inference API. Finally, we show you how to use the RESTful API to serve real-time predictions on streaming data from Amazon Kinesis Data Streams.

Serverless Architectural Patterns - GOTO Amsterdam

Boaz Ziniman

Reserve Amazon EC2 On-Demand Capacity for Any Duration with On-Demand Capacit...

Amazon Web Services

Most of you can scale your applications on Amazon EC2 without needing any capacity reservations. For those of you who are risk averse and need the additional confidence, we now have Amazon EC2 Capacity Reservations. A Capacity Reservation enables you to reserve Amazon EC2 capacity for any duration without having to commit to a 1- or 3-year term, unlike RIs. In this session, we share the key features and benefits for using Capacity Reservations, and we explain how Capacity Reservations can help you manage capacity flexibly and independently of your financial commitments (RI discounts). We describe different use cases for Capacity Reservations, and we explore how they work with Regional RIs to get you the best of both worlds.

如何以 serverless 架構打造快速回應客戶需求的零售情境 (Level: 200)

Amazon Web Services

This document discusses building a serverless architecture on AWS for retail applications. It begins by outlining benefits of running retail workloads on AWS like scalability, cost savings, and agility. It then discusses evolving from traditional virtual servers to containers to serverless architectures. Key AWS serverless services like Lambda, API Gateway, DynamoDB are introduced. An example serverless application for scheduling totes pickups is used to demonstrate how to decompose problems into functions, trigger functions from events, and use DynamoDB and S3. The results of building this application on AWS serverlessly are discussed.

Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...

Amazon Web Services

Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.

Implementing Multi-Region AWS IoT, ft. Analog Devices (IOT401) - AWS re:Inven...

Amazon Web Services

This document discusses implementing multi-region architectures for AWS IoT. It begins by explaining why a multi-region approach is important for IoT applications. It then covers foundational aspects like account structure, device bootstrapping and configuration, and building single region resiliency. The document also presents variations on multi-region architectures like active-passive and active-active models. Finally, it discusses specific examples and considerations for Analog Devices' machine health monitoring solution.

Intro to AWS Amplify Toolchain: Mobile Week SF

Amazon Web Services

AWS Mobile Week at the San Francisco Loft Introduction to AWS Amplify Toolchain In this interactive session we'll demonstrate and explain what and how to install, configure, and run the AWS Amplify CLI. Build a quick AWS AppSync API with codegen, create a new project and explore the resources created by the CLI. Expect to follow along setting up your own environment for PC or Mac. Level: Beginner Speaker: Dennis Hills - Developer Advocate, AWS Mobile Applications

Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...

Amazon Web Services

In this session, learn from market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. We also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.

Making Headless Drupal Serverless

Amazon Web Services

Not having to worry about servers can save you time and effort. Today with a serverless platform, you can globally distribute your web-application to run on dozens of data centers across the planet, with your customers being served from the one nearest to them. In this session to learn how you can combine forces -- with Drupal as a powerful Headless CMS, AWS Lambda@Edge providing serverless compute functionality, and Amazon CloudFront accelerating content through its global network. In this presentation, we look at architecture, integration examples, and best practices for some of the most popular use-cases from across different channels such as web, mobile, and social media. Learn more: https://aws.amazon.com/cloudfront/

What's hot

The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...

Amazon Web Services

Improve Consistency & Governance in Cross-Account & Global Deployments (DEV34...

Amazon Web Services

Don’t Wait Until Tomorrow: From Batch to Streaming (ANT360) - AWS re:Invent 2018

Amazon Web Services

AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...

Amazon Web Services

MassMutual Goes Cloud First with Hybrid Cloud on AWS (ENT210) - AWS re:Invent...

Amazon Web Services

How Amazon Video Uses DynamoDB Global Tables to Support Tens of Millions of G...

Amazon Web Services

Access Control in AWS Glue Data Catalog (ANT376) - AWS re:Invent 2018

Amazon Web Services

Websites go Serverless - ILDevCon

Boaz Ziniman

Wellington Management: The Journey to All-In, One Data Center at a Time (FSV2...

Amazon Web Services

Manage Queries, and Audit Usage & Control Costs at Scale on Amazon Athena (AN...

Amazon Web Services

Enabling Your Organization’s Amazon Redshift Adoption – Going from Zero to He...

Amazon Web Services

Architecting Digital Media Archive Migrations with AWS (STG357) - AWS re:Inve...

Amazon Web Services

Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...

Amazon Web Services

Build, Deploy, and Serve Machine-Learning Models on Streaming Data Using Amaz...

Amazon Web Services

Serverless Architectural Patterns - GOTO Amsterdam

Boaz Ziniman

Reserve Amazon EC2 On-Demand Capacity for Any Duration with On-Demand Capacit...

Amazon Web Services

如何以 serverless 架構打造快速回應客戶需求的零售情境 (Level: 200)

Amazon Web Services

Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...

Amazon Web Services

Implementing Multi-Region AWS IoT, ft. Analog Devices (IOT401) - AWS re:Inven...

Amazon Web Services

Intro to AWS Amplify Toolchain: Mobile Week SF

Amazon Web Services

What's hot (20)

The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...

Improve Consistency & Governance in Cross-Account & Global Deployments (DEV34...

Don’t Wait Until Tomorrow: From Batch to Streaming (ANT360) - AWS re:Invent 2018

AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...

MassMutual Goes Cloud First with Hybrid Cloud on AWS (ENT210) - AWS re:Invent...

How Amazon Video Uses DynamoDB Global Tables to Support Tens of Millions of G...

Access Control in AWS Glue Data Catalog (ANT376) - AWS re:Invent 2018

Websites go Serverless - ILDevCon

Wellington Management: The Journey to All-In, One Data Center at a Time (FSV2...

Manage Queries, and Audit Usage & Control Costs at Scale on Amazon Athena (AN...

Enabling Your Organization’s Amazon Redshift Adoption – Going from Zero to He...

Architecting Digital Media Archive Migrations with AWS (STG357) - AWS re:Inve...

Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...

Build, Deploy, and Serve Machine-Learning Models on Streaming Data Using Amaz...

Serverless Architectural Patterns - GOTO Amsterdam

Reserve Amazon EC2 On-Demand Capacity for Any Duration with On-Demand Capacit...

如何以 serverless 架構打造快速回應客戶需求的零售情境 (Level: 200)

Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...

Implementing Multi-Region AWS IoT, ft. Analog Devices (IOT401) - AWS re:Inven...

Intro to AWS Amplify Toolchain: Mobile Week SF

Similar to Lambda land: Running a serverless ticketing platform for less than $2 a month

Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...

Amazon Web Services

Making Headless Drupal Serverless

Amazon Web Services

SRV316 Serverless Data Processing at Scale: An Amazon.com Case Study

Amazon Web Services

Come to this session, and learn how Amazon takes advantage of AWS Lambda with Amazon Kinesis, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Analytics to run a highly scalable, high-throughput pipeline to support its data processing needs. We cover different example architectures that handle such use cases as in-line process and data manipulation. We also discuss the advantages of using the AWS platform to manage different streams for data processing.

Build Modern Applications that Align with Twelve-Factor Methods (API303) - AW...

Amazon Web Services

Twelve-Factor designs improve component reuse and resilience for developers building large-scale software-as-a-service (SaaS) applications. In recent years, the Twelve-Factor guidelines have become a source of best practices for both developers and operations engineers, regardless of the application’s use case and at nearly any scale. In this workshop, create a modern app to see how the Twelve-Factor Application guidelines align with serverless best practices. Learn how to address those Twelve-Factor guidelines that don’t directly align with serverless architectures or are interpreted differently, and practice by implementing examples using AWS Lambda, AWS Step Functions, Amazon API Gateway, and the AWS Code services. Bring a laptop (Windows/OSX/Linux all supported). Tablets are not appropriate. We also recommend installing the current version of Chrome or Firefox.

Operating Your Serverless API in Production at Scale - AWS Online Tech Talks

Amazon Web Services

Serverless Architectural Patterns

Amazon Web Services

The document discusses serverless architectures and patterns. It covers using AWS Lambda along with other AWS services for building serverless web applications, data lakes, and stream processing systems. Specific examples and best practices are provided for implementing common serverless patterns and use cases like building a serverless web app frontend with API Gateway and DynamoDB, implementing a serverless data lake using S3 and Athena for analytics, and ingesting and processing streaming data with Kinesis and Lambda.

Serverless Architectural Patterns and Best Practices

Amazon Web Services

As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Data Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session helps you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.

Wildrydes Serverless Workshop Tel Aviv

Boaz Ziniman

This document summarizes a serverless computing workshop on building a web application called Wild Rydes. The workshop will provide an overview of serverless computing and AWS services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. Attendees will complete four labs to build components of the application, including hosting a static website on S3, managing user registration with Cognito, creating a backend with Lambda and DynamoDB, and building a REST API with API Gateway.

Building Massively Parallel Event-Driven Architectures (SRV373-R1) - AWS re:I...

Amazon Web Services

Data and events are the lifeblood of any modern application. By using stateless, loosely coupled microservices communicating through events, developers can build massively scalable systems that can process trillions of requests in seconds. In this talk, we cover design patterns for using Amazon SQS, Amazon SNS, AWS Step Functions, AWS Lambda, and Amazon S3 to build data processing and real-time notification systems with unbounded scale and serverless cost characteristics. We also explore how these approaches apply to practical use cases, such as training machine learning models, media processing, and data cleansing.

E-Commerce serverless

Francis L Tec Can

The document discusses serverless architectures and how they can solve common problems faced with traditional server-based systems, such as servers crashing and hitting process limits. It outlines AWS services like S3, CloudFront, DynamoDB, Lambda, and API Gateway that can be used to build serverless applications. Some challenges of serverless architectures are also presented, such as dynamic pages, authentication, product redirects, error pages, and access policies. The conclusion is that everything commonly done on servers can now be done in the cloud with AWS services that integrate together to create robust applications at low cost.

Serverless Architectural Patterns: Collision 2018

Amazon Web Services

AWS Lambda use cases and best practices - Builders Day Israel

Amazon Web Services

Serverless:It All Started in Vegas (DVC306) - AWS re:Invent 2018

Amazon Web Services

This talk dives into Trustpilot's journey to serverless compute. The journey starts at re:Invent 2016 and follows how the company fast-tracked its adoption within its engineering organization using a "serverless first" engineering principle. A representative from Trustpilot shares lessons learned and insights gained from running over 200 AWS Lambda functions with 12M invocations/day in production. Also covered are fun stories of what helped the company adopt serverless, how to make those stories actionable, a review of architectural patterns, and a discussion of why they choose serverless over traditional compute every day. This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share firsthand technical insights on trending topics.

Microservices for Startups

Amazon Web Services

This document summarizes a presentation on building microservices with AWS. It discusses what microservices are, benefits of the microservices architecture like agility and scalability. It then outlines several AWS services that can be used to build, deploy, and manage microservices including Amazon EC2, ECS, Lambda, API Gateway, CodeCommit, CodeDeploy, CodeBuild, CodePipeline, Secrets Manager, DynamoDB, CloudWatch, X-Ray, Step Functions, and service discovery. The presentation provides examples of how these services can support microservices development.

How Trek10 Uses Datadog's Distributed Tracing to Improve AWS Lambda Projects ...

Amazon Web Services

Tracing is always a challenge, no matter what your architecture is. Creating an application with serverless functions, such as with AWS Lambda, provides agility and scalability to your application, but it also creates an added challenge for code tracing. In this session, we review Datadog's distributed tracing capabilities and how Trek10 uses those capabilities to improve its customers’ applications. Learn how to use AWS X-Ray in a serverless environment. Also, learn strategies for working with traces and logs that explain application errors. Finally, learn how Trek10 uses AWS X-Ray with Datadog to measure and improve its applications' performance. This session is brought to you by AWS partner, Datadog.

Serverless on AWS: Architectural Patterns and Best Practices

Vladimir Simek

When speaking about serverless on AWS, most people think about AWS Lambda. But there's more than than. AWS provides a set of fully managed services that you can use to build and run serverless applications. Serverless applications don’t require provisioning, maintaining, and administering servers for backend components such as compute, databases, storage, stream processing, message queuing, and more. You also no longer need to worry about ensuring application fault tolerance and availability. Instead, AWS handles all of these capabilities for you. This allows you to focus on product innovation while enjoying faster time-to-market.

Serverless best practices plus design principles 20m version

Heitor Lessa

Using Amazon VPC Flow Logs for Predictive Security Analytics (NET319) - AWS r...

Amazon Web Services

Ready to secure your network and application in near real-time using Amazon VPC Flow Logs and AWS WAF? In this advanced workshop, we incorporate advanced near real-time analytics and machine learning to fend off potential attackers and abusers through automated mitigation with your AWS WAF. Participants are expected to have laptops with access to an AWS account and be familiar with basic ANSI SQL, basic Amazon VPC, basic AWS Lambda, and basic AWS WAF. Along the way, you dive into and learn about Amazon VPC Flow Logs, AWS WAF, Amazon CloudWatch, Amazon Elasticsearch Service (Amazon ES), Amazon SageMaker, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, and AWS Lambda. A laptop and an AWS account are required.

Serverless Architectural Patterns - ServerlessDays TLV

Boaz Ziniman

The document contains slides from a presentation on serverless architectures. It discusses several serverless patterns including building web apps and APIs with AWS Lambda, Amazon API Gateway and other services. It also covers stream processing patterns using Amazon Kinesis and analytics, real-time analytics examples, additional patterns like serverless data lakes and operations automation. The slides provide examples and best practices for implementing these serverless architectures and patterns on AWS.

Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018

Amazon Web Services

With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.

Similar to Lambda land: Running a serverless ticketing platform for less than $2 a month (20)

Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...

Making Headless Drupal Serverless

SRV316 Serverless Data Processing at Scale: An Amazon.com Case Study

Build Modern Applications that Align with Twelve-Factor Methods (API303) - AW...

Operating Your Serverless API in Production at Scale - AWS Online Tech Talks

Serverless Architectural Patterns

Serverless Architectural Patterns and Best Practices

Wildrydes Serverless Workshop Tel Aviv

Building Massively Parallel Event-Driven Architectures (SRV373-R1) - AWS re:I...

E-Commerce serverless

Serverless Architectural Patterns: Collision 2018

AWS Lambda use cases and best practices - Builders Day Israel

Serverless:It All Started in Vegas (DVC306) - AWS re:Invent 2018

Microservices for Startups

How Trek10 Uses Datadog's Distributed Tracing to Improve AWS Lambda Projects ...

Serverless on AWS: Architectural Patterns and Best Practices

Serverless best practices plus design principles 20m version

Using Amazon VPC Flow Logs for Predictive Security Analytics (NET319) - AWS r...

Serverless Architectural Patterns - ServerlessDays TLV

Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018

More from Srushith Repakula

How we scaled to 80K users by doing nothing!.pdf

Srushith Repakula

Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations. We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures. Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless

Lessons Learned from Building a Serverless Notifications System.pdf

Srushith Repakula

Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients. This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions. The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.

Serverless - Your Gateway to the Cloud!

Srushith Repakula

Experiences in Architecting & Implementing Platforms using Serverless.pdf

Srushith Repakula

This document provides an overview of Srushith Repakula's experiences architecting and implementing serverless platforms. It discusses various serverless services like AWS Lambda, API Gateway, DynamoDB, SNS, SQS, Step Functions and EventBridge. It also summarizes design patterns for building event-driven applications on serverless including hub and spoke, static event flow and filtered event flow models. Finally, it outlines best practices for serverless development and potential challenges.

Serverless: Beyond Lambda Functions (V2)

Srushith Repakula

Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications by handling events from applications and AWS services. AWS Step Functions allows combining Lambda functions and services into workflows with steps. It provides orchestration, parallel processing, and retry capabilities. AWS AppSync is a managed GraphQL service that can handle high volumes of requests and integrates with databases. It supports subscriptions using websockets.

Getting Started with Amazon EventBridge

Srushith Repakula

CICD in the World of Serverless

Srushith Repakula

In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.

Real Time Serverless Polling App

Srushith Repakula

Serverless Workshop - Tomato Restaurant Rating App

Srushith Repakula

Become Thanos of the LambdaLand: Wield all the Infinity Stones

Srushith Repakula

This document discusses how to wield the Infinity Stones of serverless computing on AWS Lambda to optimize performance and costs. It provides tips for reducing code size and duplication using Lambda layers to wield the Space Stone. It recommends building "nano-services" instead of "monoliths" and using code orchestration like Step Functions to wield the Mind Stone. Metrics are given on how memory size and amount of code affects cold start times and costs to wield the Time and Power Stones. Design principles are outlined for concurrency, failures, and cloud-native design to wield the Soul and Reality Stones.

Serverless by Examples and Case Studies

Srushith Repakula

The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and discussing how serverless architectures can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some of the benefits of serverless platforms like AWS Lambda in allowing developers to run code without managing servers and only paying for the compute time used.

AWS Lambda Hands-on: How to Create Phone Call Notifications in a Serverless Way

Srushith Repakula

Chatbots with Serverless

Srushith Repakula

Keep Calm and Code Python - Build Cool Stuff Uing Python

Srushith Repakula

Serverless: Why is it hot and What is it not?

Srushith Repakula

Scheduled Retweets Using AWS Lambda

Srushith Repakula

This document provides an overview of AWS Lambda and serverless computing. It discusses key Lambda features like automatic scaling, integrated security model, and pay per use model. It demonstrates how to develop, deploy and test Lambda functions using the AWS console, SDKs and CLI. The document also covers Lambda execution environment, logging, integration with other AWS services, common use cases and provides a demo of building a Lambda function to auto retweet from Twitter.

More from Srushith Repakula (16)

How we scaled to 80K users by doing nothing!.pdf

Lessons Learned from Building a Serverless Notifications System.pdf

Serverless - Your Gateway to the Cloud!

Experiences in Architecting & Implementing Platforms using Serverless.pdf

Serverless: Beyond Lambda Functions (V2)

Getting Started with Amazon EventBridge

CICD in the World of Serverless

Real Time Serverless Polling App

Serverless Workshop - Tomato Restaurant Rating App

Become Thanos of the LambdaLand: Wield all the Infinity Stones

Serverless by Examples and Case Studies

AWS Lambda Hands-on: How to Create Phone Call Notifications in a Serverless Way

Chatbots with Serverless

Keep Calm and Code Python - Build Cool Stuff Uing Python

Serverless: Why is it hot and What is it not?

Scheduled Retweets Using AWS Lambda

Recently uploaded

Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis

Envertis Software Solutions

When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice. What are ERP Systems? An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs. Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today. Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.

Unveiling the Advantages of Agile Software Development.pdf

brainerhub1

How Can Hiring A Mobile App Development Company Help Your Business Grow?

ToXSL Technologies

Using Query Store in Azure PostgreSQL to Understand Query Performance

Grant Fritchey

Lecture 2 - software testing SE 412.pptx

TaghreedAltamimi

E-commerce Development Services- Hornet Dynamics

Hornet Dynamics

8 Best Automated Android App Testing Tool and Framework in 2024.pdf

kalichargn70th171

Artificia Intellicence and XPath Extension Functions

Octavian Nadolu

How to write a program in any programming language

Rakesh Kumar R

Energy consumption of Database Management - Florina Jonuzi

Green Software Development

Malibou Pitch Deck For Its €3M Seed Round

sjcobrien

Enums On Steroids - let's look at sealed classes !

Marcin Chrost

Transform Your Communication with Cloud-Based IVR Solutions

TheSMSPoint

Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony

一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理

dakas1

UMN硕士毕业证成绩单【微信95270640】购买（明尼苏达大学毕业证成绩单硕士学历）Q微信95270640代办UMN学历认证留信网伪造明尼苏达大学学位证书精仿明尼苏达大学本科/硕士文凭证书补办明尼苏达大学 diplomaoffer,Transcript购买明尼苏达大学毕业证成绩单购买UMN假毕业证学位证书购买伪造明尼苏达大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。 #毕业证成绩单 #毕业証 #成绩单 #學生卡 #OFFER录取通知书 #雅思#托福等…… 国外大学明尼苏达大学明尼苏达大学毕业证offer制作方法（一对一专业服务） 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — 制作工艺【高仿真】— — 凭借多年的制作经验本公司制作明尼苏达大学明尼苏达大学毕业证offer《激光》《水印》《钢印》《烫金》《紫外线》凹凸版uv版等防伪技术一流高精仿度几乎跟学校100%相同！让您绝对满意。 — — -公司理念【诚信为主】— — — 我們以質量求生存.以服务求发展有雄厚的实力专业的团队咨询顾问为您细心解答可详谈是真是假眼见为实让您真正放心平凡人生,尽我所能助您一臂之力让我們携手圆您梦想! 此贴长年有效【贴心专线/微-信: 95270640】敬请保留此联系方式以备用！如有不在线请给我们留言！我们将在第一时间给您回复!上散发着一抹抹的光晕而这每处自然形成的细节融合在一起浑然天成的美实在令人心生愉悦小道的周边无秩序的生长着几株艳丽的野花红的粉的紫的虽混乱无章却给这幅美景更增添一份性感夹杂着一份纯洁的妖娆毫无违和感实在给人带来一份悠然幸福的心情如果说现在的审美已经断然拒绝了无声的话那么在树林间飞掠而过的小鸟叽叽咋咋的叫声是否就是这最后的点睛之笔悠然走在林间的小路上宁静与清香一丝丝的盛夏气息吸入身体昔日生活里的繁忙多

316895207-SAP-Oil-and-Gas-Downstream-Training.pptx

ssuserad3af4

Using Xen Hypervisor for Functional Safety

Ayan Halder

Mobile App Development Company In Noida | Drona Infotech

Drona Infotech

Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf

VALiNTRY360

Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems. For more info visit us https://valintry360.com/solutions/health-life-sciences

Hand Rolled Applicative User ValidationCode Kata

Philip Schwarz

Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>? The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory. Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away. The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.

UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions

Peter Muessig

The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.

Recently uploaded (20)

Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis

Unveiling the Advantages of Agile Software Development.pdf

How Can Hiring A Mobile App Development Company Help Your Business Grow?

Using Query Store in Azure PostgreSQL to Understand Query Performance

Lecture 2 - software testing SE 412.pptx

E-commerce Development Services- Hornet Dynamics

8 Best Automated Android App Testing Tool and Framework in 2024.pdf

Artificia Intellicence and XPath Extension Functions

How to write a program in any programming language

Energy consumption of Database Management - Florina Jonuzi

Malibou Pitch Deck For Its €3M Seed Round

Enums On Steroids - let's look at sealed classes !

Transform Your Communication with Cloud-Based IVR Solutions

一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理

316895207-SAP-Oil-and-Gas-Downstream-Training.pptx

Using Xen Hypervisor for Functional Safety

Mobile App Development Company In Noida | Drona Infotech

Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf

Hand Rolled Applicative User ValidationCode Kata

UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions

Lambda land: Running a serverless ticketing platform for less than $2 a month

2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. “Serverless architectures refer to applications that significantly depend on third-party services (knows as Backend as a Service or "BaaS") or on custom code that's run in ephemeral containers (Function as a Service or “FaaS”)” - Martin Fowler https://martinfowler.com/articles/serverless.html

9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Generating Invoice – 3rd party API or PDF Generation Python Module 3rd party API E.g., invoice-generator Python module E.g., Reportlab or

10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Lessons Learned • 3rd party web APIs are not always reliable • Larger dependencies increase lambda warm up time • Need notifications for executions that fail due to various reasons

13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Lessons Learned • Emailing looks straight-forward but it is not • Using SES has practical problems (E.g., no way to access the sent emails) • Factors to consider: cost, spamming and shared vs dedicated IP address

19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Lessons Learned • Asynchronous nature of Step functions is at times troublesome • Improved resiliency • Step functions make parallel executions, branching etc. easier • Zero coding!

24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Icon Credits • Icon made by Freepik from www.flaticon.com • Icon made by Prosymbols from www.flaticon.com • Icon made by Geotath from www.flaticon.com • Icon made by Icon Pond from www.flaticon.com • Icon made by Smashicons from www.flaticon.com • Icon made by Smartline from www.flaticon.com • Icon made by mynamepong from www.flaticon.com • Icon made by Vectors Market from www.flaticon.com • Icon made by DinosoftLabs from www.flaticon.com • Icon made by Kiranshastry from www.flaticon.com • Icon made by Pixel Buddha from www.flaticon.com • Icon made by dimitry-miroliubov from www.flaticon.com

Editor's Notes

Icon made by https://www.flaticon.com/authors/prosymbols from https://www.flaticon.com
https://aws.amazon.com/rds/ https://aws.amazon.com/dynamodb/#whentousedynamodb
Image Courtesy: Icon made by https://www.flaticon.com/authors/freepik from www.flaticon.com
https://www.flaticon.com/authors/ddara
https://www.flaticon.com/authors/prosymbols

Lambda land: Running a serverless ticketing platform for less than $2 a month

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Lambda land: Running a serverless ticketing platform for less than $2 a month

Similar to Lambda land: Running a serverless ticketing platform for less than $2 a month (20)

More from Srushith Repakula

More from Srushith Repakula (16)

Recently uploaded

Recently uploaded (20)

Lambda land: Running a serverless ticketing platform for less than $2 a month

Editor's Notes