Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Serverless Functions Azure, AWS, GCP
Search
Mikhail Shilkov
October 30, 2019
Programming
0
210
Serverless Functions Azure, AWS, GCP
Comparison of Function-as-a-Service offerings of AWS, Azure, and GCP
Mikhail Shilkov
October 30, 2019
Tweet
Share
More Decks by Mikhail Shilkov
See All by Mikhail Shilkov
From YAML to TypeScript: Developer’s View on Cloud Automation
mikhailshilkov
0
71
Cloud Management Superpowers with Pulumi
mikhailshilkov
0
460
Cloud Superpowers with Pulumi and F#
mikhailshilkov
1
460
Cloud Management Superpowers with Pulumi and .NET
mikhailshilkov
0
100
Managing Any Cloud with .NET
mikhailshilkov
0
59
Azure Infrastructure as C# and F#
mikhailshilkov
0
230
Infrastructure as Software
mikhailshilkov
0
390
Azure Infrastructure as C# and F#
mikhailshilkov
0
290
Pulumi: Cloud Infrastructure as C# and F#
mikhailshilkov
0
750
Other Decks in Programming
See All in Programming
Agent Rules as Domain Parser
yodakeisuke
1
350
Devinで実践する!AIエージェントと協働する開発組織の作り方
masahiro_nishimi
6
2.6k
Blueskyのプラグインを作ってみた
hakkadaikon
1
290
PT AI без купюр
v0lka
0
200
TypeScript だけを書いて Tauri でデスクトップアプリを作ろう / Tauri with only TypeScript
tris5572
2
540
型安全なDrag and Dropの設計を考える
yudppp
5
660
ワイがおすすめする新潟の食 / 20250530phpconf-niigata-eve
kasacchiful
0
260
TypeScript LSP の今までとこれから
quramy
0
110
Cursor Meetup Tokyo ゲノミクスとCursor: 進化と制約のあいだ
koido
1
330
JSAI2025 RecSysChallenge2024 優勝報告
unonao
1
380
Reactive Thinking with Signals, Resource API, and httpResource @Devm.io Angular 20 Launch Party
manfredsteyer
PRO
0
130
Practical Domain-Driven Design - Workshop at NDC 2025
mufrid
0
130
Featured
See All Featured
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
30
2.1k
Become a Pro
speakerdeck
PRO
28
5.4k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
29
9.5k
Rails Girls Zürich Keynote
gr2m
94
13k
[RailsConf 2023] Rails as a piece of cake
palkan
55
5.6k
A better future with KSS
kneath
239
17k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.3k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
5
620
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.5k
Mobile First: as difficult as doing things right
swwweet
223
9.6k
jQuery: Nuts, Bolts and Bling
dougneiner
63
7.8k
Faster Mobile Websites
deanohume
307
31k
Transcript
Serverless Functions Azure, AWS, GCP Cloud Republic Event | Utrecht
| October 30, 2019
• Software developer • Cloud • Serverless • Functional programming
• Microsoft Azure MVP https://mikhail.io @MikhailShilkov Mikhail Shilkov
Function-as-a-Service Cloud Offerings
Hosting Plans Configurability Languages Programming Model Concurrency Isolation Cost Orchestrations
Cold Starts Scalability Conclusions Q&A
Hosting Plans
Azure Functions
AWS Lambda and Google Functions
Configurability
Azure Functions Consumption
AWS Lambda Memory Allocation
GCF Memory Allocation
Azure Functions Premium
Programming Languages
Language Azure Functions AWS Lambda Google Cloud Functions .NET (C#/F#)
GA GA - Node.js (JS/TS) GA GA GA JVM (Java) GA GA - Python GA (Linux only) GA GA PowerShell Preview GA - Go - GA GA Ruby - GA - Comparison Table
Programming Model
Azure Functions: Triggers and Bindings [FunctionName("MyFunc")] public static void Work(
[TimerTrigger("0 */10 * * * *")] TimerInfo timer, [Blob("filename")] Stream stream, [Queue("myqueue")] out string message) { // body }
AWS: JSON Input and Output exports.handler = async (event) =>
{ const response = { statusCode: 200, body: JSON.stringify('Hello from Lambda!'), }; return response; };
ASP.NET Core on AWS Lambda public class LambdaFunction : Amazon.Lambda.AspNetCoreServer.APIGatewayProxyFunction
{ protected override void Init(IWebHostBuilder builder) { builder .UseContentRoot(Directory.GetCurrentDirectory()) .UseStartup() .UseApiGateway(); } }
GCP: Express-like API exports.helloWorld = (req, res) => { let
message = req.query.message || req.body.message || 'Hello World!'; res.status(200).send(message); };
Deployment Artifacts
Concurrency and Isolation
Resource Pool
Resource Pool
Resource Pool
Resource Pool
Resource Pool
Resource Pool
Resource Pool
Client Value Resource Utilization
Tradeoff
Server, VM, container, process, ...
Server, VM, container, process, ... VM VM
Server, VM, container, process, ... VM VM
Server, VM, container, process, ... VM VM
Server, VM, container, process, ... VM VM
Azure Functions 12
Legacy of App Service
Legacy of App Service
App Service: scalability
App Service: scalability
Function App Consumption Plan
Isolation Layers
Simultaneous Executions
Simultaneous Executions
Simultaneous Executions
Simultaneous Executions
AWS Lambda 22
AWS Lambda
AWS Lambda
AWS Lambda
Integrating with AWS Lambda
Simultaneous Executions in AWS Lambda
Isolation Layers
Simultaneous Executions in AWS Lambda
Simultaneous Executions in AWS Lambda
Simultaneous Executions in AWS Lambda
• • • • AWS Firecracker
Isolation Layers with Firecracker
«Naive» Function Composition
Statistical Multiplexing
Google Cloud Functions 31
Google Cloud Functions
Cost
Nominal Pricing
Nuances
Azure Simultaneous Executions
AWS Lambda: HTTP Integration
AWS Lambda: HTTP Integration
Orchestration
Azure Logic Apps
AWS Step Functions
Azure Durable Functions public static async Task Sequential(DurableOrchestrationContext context) {
var conf = await context.CallActivityAsync<ConfTicket> ("BookConference", "ServerlessDays"); var flight = await context.CallActivityAsync<FlightTickets> ("BookFlight", conf.Dates); await context.CallActivityAsync("BookHotel", flight.Dates); }
Performance and Scalability
Ideal Scalability: Throughput
Ideal Scalability: Latency
Customer Value Cloud Resource Utilization
Cold Starts
Example: Loading a map
Example: Loading a map
Example: Loading a map
Cold Start
Warm Start
Period Before a Subsequent Cold Start
Cold Starts: Language Comparison
Dependencies Add to Cold Start
Fighting Cold Starts: Azure [FunctionName("Warmer")] public static void WarmUp( [TimerTrigger("0
*/10 * * * *")] TimerInfo timer) { // No need to do anything }
AWS: Single instance warming
AWS: Multiple instance warming
ETL AT SCALE: Asynchronous data processing
Async Pipelines
Experiments with Queues
AWS Lambda Processing 100k SQS Messages
GCF Processing 100k Pub/Sub Messages
Azure Functions Processing 100k Queue Messages
CPU-intensive workload on AWS Lambda
CPU-intensive workload on Google Cloud Functions
CPU-intensive workload on Azure Functions
AWS Processing Speed per Reserved RAM
HTTP AT SCALE: Serving traffic of StackOverflow
Serving StackOverflow-like traffic
Requests/sec during the load test
0 200 400 600 800 1000 1200 Azure Functions: Response
Percentiles (ms)
0 200 400 600 800 1000 1200 Azure Functions: Response
Percentiles (ms)
0 200 400 600 800 1000 1200 Azure Functions: Instances
Google Functions: Response Percentiles (ms)
Google Functions: Response Percentiles (ms)
0 200 400 600 800 1000 1200 Google Functions: Instances
0 200 400 600 800 1000 1200 AWS Lambda: Response
Percentiles (ms)
0 200 400 600 800 1000 1200 AWS Lambda: Response
Percentiles (ms)
0 200 400 600 800 1000 1200 AWS Lambda: Instances
So, What Should You Choose?
• • • • Follow-up reading (1)
• • • Follow-up reading (2)
None