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Sustainable API Green Score
API Numériquement Responsable
Yannick Tremblais
IT Innovation Manager
mission driven Company
Julien Brun
Head of COE API & EDA
ytremblais jylls35
https://www.apidays.global/sustainable-digital-challenge/
We are sharing our studies to external communities
Active Member of the API Thinking Community
head of workgroup “Sustainable digital API”
External Communities
● As there is no standard yet on the API
Ecodesign
● As environmental impact is a shared
concern
● as guideline and calculation rule must be
shared and validated by many to be
recognized
Workgroup “Sustainable API”
“API Numériquement Responsable”
A collective that draws its strength from its members
Since 2020, the 1st french collective dedicated to APIS
Free Network Diversity
source: https://www.greenit.fr/wp-content/uploads/2019/11/GREENIT_EENM_etude_EN_accessible.pdf
Without action to limit the growth of the environmental impact of digital technology, its carbon footprint
could triple between 2020 and 2050
ADEME-Arcep working group document listing potential game-changers in the digital sector
The API Green Score is a toolkit to help API consumers, designers and owners to ask themselves
questions about the digital impact of their APIs
This tool is based on 7 differents domain in order to create relevant and realistic metrics that
stakeholders can use
The evaluation method is shared with all API Personas (API owners, API consumers, API developers)
This toolkit concern eco-design and eco-consumption of API
Excellent Acceptable Average Poor Very Poor
A B C D E
• Decommission an unused API
• Deploy API near consumer
• Reduce number of API versions
• Unify API catalog
• Create consumer referential
• Identify API for single usage
• Urbanization with Data Governance
• Exchange with Smallest Size
• Following API payload size
• Prefer Opaque Token to JWT
• API Customer Centricity principles
• API Data / Granularity
• Leverage Odata or GraphQL for DB
APIs
• Data Management
• Dynamic Content
• Optimize queries to limit returned
information
• Collect only required data
• Provide only changed data
• Use cache
• Communicate on Payload size
• API used geolocally close to their
consumers
• Promote event architecture
• Filter data in payload
• Pagination
• Webhook or Business Notification
• AsyncAPI
• Define a basis of criteria for rating
• Provide KPIs (Nb of call, payload
size, nb of equipments used, …)
• Evaluate energy consumption for
one API
• Know language impact for energy
consumption
• Use adaptive infrastructure
• Use as few cloud suppliers as
possible between consumer and
backend
• Be near Data Center
• Define which actions are more
relevant to do to reduce the impact
of API ?
• API Green Score design
• Guideline resources
• Sharing criteria of evaluation and
methods
• Adapt the communication of each
personas
API Lifecycle Data Exchange Data Architecture
Tools Infrastructure Communication
7 domains
API Lifecycle Data Exchange Data Architecture
Tools Infrastructure Communication
Archi Design Usage Logs
Categories
Domains
Domains vs Categories
Evaluation Grid: Results
Excellent Acceptable Average Poor Showstopper
A B C D E
>=6000 6000<>=3000 2000<>=2000 2000<>=1000 <1000
DE01 : Prefer an exchange format with the smallest size (JSON is smaller than XML).
One of the structuring questions when designing an API is the selection of the exchange format to use. If the choice is
often made by technical constraints or personal affinities, the durability aspect is also to be taken into account.
Indeed, there are exchange formats that are heavier than others. For example, JSON is smaller than XML. The second
format will therefore have a stronger impact on the network, the computing and the storage.
In the interest of sustainability, we recommend to use a lighter exchange format to reduce the bandwidth consumed for
the requests, the compute and storage resources consumption used to process and store the payloads.
Expected gain: Network, compute and storage impact reduced
network compute storage
Data Exchange
xml json Gain
717 B 623 B 94 B, 13%
nb call /day 2 000 000 1,33 Gi 1,16 Gi 0,17 Gi
nb call/month
(30)
40,06 Gi 34.81 Gi 5,25 Gi
<?xml version="1.0" encoding="UTF-8"?>
<Catalog>
<Book id="bk101">
<Author>Garghentini, Davide</Author>
<Title>XML Developer's Guide</Title>
<Genre>Computer</Genre>
<Price>44.95</Price>
<PublishDate>2000-10-01</PublishDate>
<Description>An in-depth look at creating applications
with XML.</Description>
</Book>
<Book id="bk102">
<Author>Garcia, Debra</Author>
<Title>Midnight Rain</Title>
<Genre>Fantasy</Genre>
<Price>5.95</Price>
<PublishDate>2000-12-16</PublishDate>
<Description>A former architect battles corporate zombies,
an evil sorceress, and her own childhood to become queen
of the world.</Description>
</Book>
</Catalog>
{
"Catalog": {
"Book": [
{
"Author": "Garghentini, Davide",
"Title": "XML Developer's Guide",
"Genre": "Computer",
"Price": "44.95",
"PublishDate": "2000-10-01",
"Description": "An in-depth look at creating applicationsn
with XML.",
"_id": "bk101"
},
{
"Author": "Garcia, Debra",
"Title": "Midnight Rain",
"Genre": "Fantasy",
"Price": "5.95",
"PublishDate": "2000-12-16",
"Description": "A former architect battles corporate zombies,n
an evil sorceress, and her own childhood to become queenn of the world.",
"_id": "bk102"
}
]
}
}
717 bytes bookstore.xml 623 bytes bookstore.json
DE02/DE03/DE05 : Use cache to avoid useless requests and preserve compute resources.
The use of a cache has become common in computer architectures to store frequently used information on a fast
storage.
In addition to improving the response time of APIs, and therefore the consumer's experience of the service, it also
saves computational resources by avoiding executing the same query on the same data multiple times.
It is recommended to place a cache in front of each brick of an architecture returning data (API, database, frontend
application, ...) and close to the users to preserve compute resources and improve performances of the API.
Expected gain: Compute resources saved & Network impact reduced
network compute storage
Data Data Exchange
LO01 : Collect only required data and use the right retention time according to the business requirements.
It is quite common for applications to store a large amount of useless information without time limit.
This results in an excessive consumption of storage services for data that will not be used or no longer used.
It is necessary to clean up the data in order to keep only the data that is useful and to define a coherent retention
policy in order to delete them once their validity or exploitation period has passed.
Expected gain: Volume of data stored reduced & Network impact reduced
network compute storage
Tools
https://www.elastic.co/guide/en/elasticsearch/reference/current/rollup-overview.html
detail by each API call
detail by each hour call
keep details by brand/country/method
aggregate : Average(Response Time), sum (nb of
call) by hour
automatic rollup process
to reduce granularity
Major Impact : save disk space
•Define log retention per services/domain
•Define log rotation (rollup)
•Keep unit date for 45 days, and aggregate them(mn/hour)
⇒ Reduce size of Elastic indices to 4Go /month
AR05 : Carbon Footprint Dashboard
Some cloud providers produce carbon footprint dashboard. You can implement your own or adapt it based on your
infrastructure and be close to your usage
This is not a rule to evaluate API Green score, but it is important to be able to measure the impact on infrastructure
Ex : evaluation the impact of compute, network, disk and divided by the number of calls of the evaluate API.
Expected gain: Network, compute
network compute storage
Architecture
Low Maturity
1st step : Eco-design & Eco-consumption
Rules weighting closer to real
usage
Guidelines definition
and publication
1
Eco-performance
measure
2
Dashboard to give
insight for
improvement
4
ECO APIs
promotion
3
4 STEPS TO SUSTAINABLE
TECH BY DESIGN IN API
1
Common catalog to
promote eco API
Transparent calculation of the
environmental IT Score
Opportunity for every API
Product Owner to continuously
improve his environmental IT
score
Ability to relate in the API
Market Place
Guidelines definition
and publication
1
Eco-performance
measure
2
Dashboard to
give insight for
improvement
4
ECO APIs promotion
3
4 STEPS TO SUSTAINABLE
TECH BY DESIGN IN API
1
Common dashboard to
monitor eco API
To be delivered
C1 - Internal use
• Publish ECO-guidelines and promote eco designed
API on API marketplace
🡪 YES BUT
Don’t forget to eco design your API developer portal
This is the beginning of our journey, we need you to contribute!
https://www.collectif-api-thinking.com

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apidays London 2023 - API Green Score, Yannick Tremblais & Julien Brun, Green API Score

  • 1. Sustainable API Green Score API Numériquement Responsable
  • 2. Yannick Tremblais IT Innovation Manager mission driven Company Julien Brun Head of COE API & EDA ytremblais jylls35
  • 4. We are sharing our studies to external communities Active Member of the API Thinking Community head of workgroup “Sustainable digital API” External Communities ● As there is no standard yet on the API Ecodesign ● As environmental impact is a shared concern ● as guideline and calculation rule must be shared and validated by many to be recognized
  • 5. Workgroup “Sustainable API” “API Numériquement Responsable” A collective that draws its strength from its members Since 2020, the 1st french collective dedicated to APIS Free Network Diversity
  • 7. Without action to limit the growth of the environmental impact of digital technology, its carbon footprint could triple between 2020 and 2050 ADEME-Arcep working group document listing potential game-changers in the digital sector
  • 8. The API Green Score is a toolkit to help API consumers, designers and owners to ask themselves questions about the digital impact of their APIs This tool is based on 7 differents domain in order to create relevant and realistic metrics that stakeholders can use The evaluation method is shared with all API Personas (API owners, API consumers, API developers) This toolkit concern eco-design and eco-consumption of API Excellent Acceptable Average Poor Very Poor A B C D E
  • 9. • Decommission an unused API • Deploy API near consumer • Reduce number of API versions • Unify API catalog • Create consumer referential • Identify API for single usage • Urbanization with Data Governance • Exchange with Smallest Size • Following API payload size • Prefer Opaque Token to JWT • API Customer Centricity principles • API Data / Granularity • Leverage Odata or GraphQL for DB APIs • Data Management • Dynamic Content • Optimize queries to limit returned information • Collect only required data • Provide only changed data • Use cache • Communicate on Payload size • API used geolocally close to their consumers • Promote event architecture • Filter data in payload • Pagination • Webhook or Business Notification • AsyncAPI • Define a basis of criteria for rating • Provide KPIs (Nb of call, payload size, nb of equipments used, …) • Evaluate energy consumption for one API • Know language impact for energy consumption • Use adaptive infrastructure • Use as few cloud suppliers as possible between consumer and backend • Be near Data Center • Define which actions are more relevant to do to reduce the impact of API ? • API Green Score design • Guideline resources • Sharing criteria of evaluation and methods • Adapt the communication of each personas API Lifecycle Data Exchange Data Architecture Tools Infrastructure Communication 7 domains
  • 10. API Lifecycle Data Exchange Data Architecture Tools Infrastructure Communication Archi Design Usage Logs Categories Domains Domains vs Categories
  • 11. Evaluation Grid: Results Excellent Acceptable Average Poor Showstopper A B C D E >=6000 6000<>=3000 2000<>=2000 2000<>=1000 <1000
  • 12. DE01 : Prefer an exchange format with the smallest size (JSON is smaller than XML). One of the structuring questions when designing an API is the selection of the exchange format to use. If the choice is often made by technical constraints or personal affinities, the durability aspect is also to be taken into account. Indeed, there are exchange formats that are heavier than others. For example, JSON is smaller than XML. The second format will therefore have a stronger impact on the network, the computing and the storage. In the interest of sustainability, we recommend to use a lighter exchange format to reduce the bandwidth consumed for the requests, the compute and storage resources consumption used to process and store the payloads. Expected gain: Network, compute and storage impact reduced network compute storage Data Exchange
  • 13. xml json Gain 717 B 623 B 94 B, 13% nb call /day 2 000 000 1,33 Gi 1,16 Gi 0,17 Gi nb call/month (30) 40,06 Gi 34.81 Gi 5,25 Gi <?xml version="1.0" encoding="UTF-8"?> <Catalog> <Book id="bk101"> <Author>Garghentini, Davide</Author> <Title>XML Developer's Guide</Title> <Genre>Computer</Genre> <Price>44.95</Price> <PublishDate>2000-10-01</PublishDate> <Description>An in-depth look at creating applications with XML.</Description> </Book> <Book id="bk102"> <Author>Garcia, Debra</Author> <Title>Midnight Rain</Title> <Genre>Fantasy</Genre> <Price>5.95</Price> <PublishDate>2000-12-16</PublishDate> <Description>A former architect battles corporate zombies, an evil sorceress, and her own childhood to become queen of the world.</Description> </Book> </Catalog> { "Catalog": { "Book": [ { "Author": "Garghentini, Davide", "Title": "XML Developer's Guide", "Genre": "Computer", "Price": "44.95", "PublishDate": "2000-10-01", "Description": "An in-depth look at creating applicationsn with XML.", "_id": "bk101" }, { "Author": "Garcia, Debra", "Title": "Midnight Rain", "Genre": "Fantasy", "Price": "5.95", "PublishDate": "2000-12-16", "Description": "A former architect battles corporate zombies,n an evil sorceress, and her own childhood to become queenn of the world.", "_id": "bk102" } ] } } 717 bytes bookstore.xml 623 bytes bookstore.json
  • 14. DE02/DE03/DE05 : Use cache to avoid useless requests and preserve compute resources. The use of a cache has become common in computer architectures to store frequently used information on a fast storage. In addition to improving the response time of APIs, and therefore the consumer's experience of the service, it also saves computational resources by avoiding executing the same query on the same data multiple times. It is recommended to place a cache in front of each brick of an architecture returning data (API, database, frontend application, ...) and close to the users to preserve compute resources and improve performances of the API. Expected gain: Compute resources saved & Network impact reduced network compute storage Data Data Exchange
  • 15.
  • 16. LO01 : Collect only required data and use the right retention time according to the business requirements. It is quite common for applications to store a large amount of useless information without time limit. This results in an excessive consumption of storage services for data that will not be used or no longer used. It is necessary to clean up the data in order to keep only the data that is useful and to define a coherent retention policy in order to delete them once their validity or exploitation period has passed. Expected gain: Volume of data stored reduced & Network impact reduced network compute storage Tools
  • 17. https://www.elastic.co/guide/en/elasticsearch/reference/current/rollup-overview.html detail by each API call detail by each hour call keep details by brand/country/method aggregate : Average(Response Time), sum (nb of call) by hour automatic rollup process to reduce granularity Major Impact : save disk space
  • 18. •Define log retention per services/domain •Define log rotation (rollup) •Keep unit date for 45 days, and aggregate them(mn/hour) ⇒ Reduce size of Elastic indices to 4Go /month
  • 19. AR05 : Carbon Footprint Dashboard Some cloud providers produce carbon footprint dashboard. You can implement your own or adapt it based on your infrastructure and be close to your usage This is not a rule to evaluate API Green score, but it is important to be able to measure the impact on infrastructure Ex : evaluation the impact of compute, network, disk and divided by the number of calls of the evaluate API. Expected gain: Network, compute network compute storage Architecture
  • 20.
  • 21. Low Maturity 1st step : Eco-design & Eco-consumption Rules weighting closer to real usage
  • 22. Guidelines definition and publication 1 Eco-performance measure 2 Dashboard to give insight for improvement 4 ECO APIs promotion 3 4 STEPS TO SUSTAINABLE TECH BY DESIGN IN API 1 Common catalog to promote eco API
  • 23. Transparent calculation of the environmental IT Score Opportunity for every API Product Owner to continuously improve his environmental IT score Ability to relate in the API Market Place Guidelines definition and publication 1 Eco-performance measure 2 Dashboard to give insight for improvement 4 ECO APIs promotion 3 4 STEPS TO SUSTAINABLE TECH BY DESIGN IN API 1 Common dashboard to monitor eco API To be delivered
  • 24.
  • 25.
  • 26. C1 - Internal use • Publish ECO-guidelines and promote eco designed API on API marketplace 🡪 YES BUT Don’t forget to eco design your API developer portal
  • 27. This is the beginning of our journey, we need you to contribute! https://www.collectif-api-thinking.com