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Ce que d’autres commerces font…
Bonjour,
J’ai récemment échangé avec d'autres centre de coachingqui utilisait la radio FM… jusqu’à ce qu’ils réalisent que les pubs nuisaient à leur ambiance.
Depuis qu’ils ont une solution adaptée, leurs clients restent plus longtemps et reviennent plus souvent.
Ça pourrait être intéressant pour Achilles Coaching Sport Santé aussi ?
Si vous voulez en discuter, je suis dispo ! 😊
Romain
by "Romain Rigaud" <romain.rigaud@license-jamendo.fr> - 05:03 - 23 Apr 2025 -
RE : Exclusive Invitation - Become GLA Indonesian Logistics Partner
Dear Partner
Greeting from Cara and GLA family. Trust you are doing great.The number of inquiries from Indonesia on GLA has been steadily increasing, we are actively seeking a reliable logistics partner in Indonesia. After reviewing your company's website, we found that your business scope aligns perfectly with our platform's focus. Therefore, I would like to extend a sincere invitation for you to join us.
GLA(Global Logistics Alliance) is one of the strongest logistics networks in the world with rapid growth, we focus on Air / Ocean / Road / Rail / 3PL / Warehouse / Custom Clearance / E-Commerce / Big Project / DG Cargo, etc… in each country. Within 9 years, we already have 7000+ active and professional members from 170 + countries.
l We has brought countless business opportunities to our partners, who have given us high praise in return. Here I would like to recap some successful business cases from our lovely GLA members.
Siam Indochina Logistics (Thailand): Earned USD40,000 in just one quarter after joining GLA, achieving a 10x return on investment
Latam Logistics Chile: Increased 1,000 TEU containers in 5 years as a GLA member-Video Hyperlink
Ø For more successful business cases please refer to the official GLA account in LinkedIn
Besides, We are planning to hold the 12th GLA Global Logistics Conference:
Ø Event Name: The 12th GLA Global Logistics Conference
Ø Host By: GLA Global Logistics Alliance
Ø Event Date: May 15 - 18, 2025 (4 days)
Ø Host City: Dubai, UAE
Ø Expected Attendee: 1500+
Ø From: 130+ countries
Ø 1-on-1 Meeting: 51 times per pax
We expect you to join us! Please don’t miss this opportunity to attend the conference as a GLA member J
I would be delighted to discuss how GLA can support your business growth.
If you want to know more, please don’t hesitate to contact me.
Best regards,
Cara Chen
GLA Overseas department
Mobile:
(86) 190-7616-6926 (WhatsApp|Wechat)
Email:
Company:
GLA Co.,Ltd
Website:
Address:
No. 2109, 21st Floor, HongChang, Plaza, No. 2001, Road Shenzhen, China
The 12th GLA Conference – Dubai, UAE on 15th - 18th May 2025 – click here for registration
<![if !supportLists]>Ø <![endif]>The 11th GLA Conference in Bangkok Thailand, online album
<![if !supportLists]>Ø <![endif]>The 10th GLA Conference in Dubai UAE, online album
【Notice Agreement No 7】
7. GLA president reserves the right to cancel or reject membership or application.
company shall cease to be a member of GLA if:
a) the Member does not adhere to GLA terms and conditions
b) the Member gives notice of resignation in writing to the GLA.
c) No good reputation in the market.
d) Have bad debt records in the GLA platform or in the market
by "Cara Chen" <member838@glafamily.com> - 03:56 - 23 Apr 2025 -
Expand Your Freight Business
Dear Customer,
Hello! This is Kaia from GT Network.We know that your company has extensive experience in the freight industry, and we would like to introduce you to GT Network―a network designed specifically for freight companies to help you expand your business and secure the most competitive quotes.
We connect freight companies with potential clients, helping our members access more business opportunities. By becoming a member, you can enjoy the following benefits:- More Business Opportunities: Gain access to a wider pool of clients through our platform.
- Best Quotes: Find the most competitive pricing for your services.
- Efficient Matching: Quickly connect with demand, saving you time and costs.
- ...
We are pleased to invite you to join in GT and if you have any questions, please feel free to reply to contact me. We are here to assist you and look forward to collaborating with you!
Best Regards&Thanks
Kaia (Overseas Manager)
GT Co., Ltd.
Web: www.gtran.net
Email: gt10@gtran.net
WhatsApp: +8619171254376 Skype: gt10@gtran.net
WeChat: +8619171254376 Mobile: +8619171254376
by "Kaia Ye" <gt10@gtran.net> - 03:27 - 23 Apr 2025 -
Open source AI: Current trends and the future outlook for businesses
On McKinsey Perspectives
The tech stack of tomorrow Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
—Edited by Belinda Yu, editor, Atlanta
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by "Only McKinsey Perspectives" <publishing@email.mckinsey.com> - 01:42 - 23 Apr 2025 -
RE;rock drilling inquiry
Dear friends,
My name is Amiee, and I represent Fujian Aivyter Intelligent Equipment Co., Ltd, a leading manufacturer of heavy machinery solutions for the mining industry from China.
We specialize in the design and manufacturing of high-performance drilling jumbo, shotcrete machine and relative equipment, with many years of production experience and ISO9001 certification. Reliable quality with professional technical expertise and after-sales service.
The main features of drilling jumbo:
1. With high degree of automation, and controlled by a hydraulic system, with fast rock drilling speed and low malfunctions.
2. Four wheel drive chassis, flexible rotation.
3. Turbocharged engine, powerful and has good passability.
4. Using well-known brand of high-power rock drills.
If you are interested or have any question , please feel free to contact me at any time and I will provide you with the best price.
The attachment is our catalog for your refer.
Warm regards,
Amiee
Fujian Aivyter Intelligent Equipment Co., Ltd
Fuzhou Tuowei Mechanical and Electrical Equipment Co., Ltd.
Email: sale03@aivyter.com
Cell phone : +86 13123195965
Whatspp:+8618759943217
Tel.: 0086-591-83321074 EXT. 6032
0086-591-83753886 EXT. 6032
Fax: 0086-591-83790287
Web:www.aivyter.com
(the email is improtance for procurement,pls help forward to them,thank you so much!)
by "Lyan Olmos" <lyanolmos743@gmail.com> - 01:14 - 23 Apr 2025 -
Xufeng Electronics’ high-tech membrane switch solutions
Dear info,
Do you need innovative membrane switching solutions for your electronics? Xufeng Electronic Technology is your best choice. It is a leading high-tech enterprise established in 2005.
Our company is committed to providing first-class R&D, design, sales and production services. We have a highly skilled software and hardware engineering team and experienced technical professionals, specializing in the development, production and assembly of membrane switch button peripheral products.
Our product range includes touch switch module solutions, MCU motherboard development, SMT services, membrane switches, touch switches, capacitive touch key function films, etc. From glass covers to acrylic covers, IMD, IML and ABS+PC plastic enclosures, we have the expertise to meet all your requirements.
Partner with Xufeng Electronics to provide cutting-edge membrane switch solutions to enhance the performance and design of your products. Contact us today to learn more about our services and how we can assist you with your next project.
Sincerely,Xufeng Electronic Technology Team
by "Freshta Gabras" <gabrasfreshta142@gmail.com> - 07:23 - 22 Apr 2025 -
We go LIVE in 48 Hours! Clickfunnels Dropshipping Masterclass
I’m giving you a pre-built Ecom store if you attend!We’re only 48 hours away from the Clickfunnels + Zendrop Dropshipping Masterclass that I’m hosting LIVE with Jared Goetz. (The CEO of Zendrop)
During the masterclass, you'll learn:
✅ The “Secret Ecom Funnel” that drives traffic and converts buyers
✅ How to access over 1.5 million products through Zendrop
✅ And how to get your own pre-built, ready-to-sell ClickFunnels store… Completely free!!
✅ And a ton more dropshipping secrets I can’t even tell you about until we go live… (It’s going to be INSANE!!!)
When: Thursday, April 24th at 2PM/ 12PM MT / 11AM PT
Where: HERE IS THE LINK TO JOIN THE LIVE MASTERCLASS >>
Remember, you must attend live to claim your store and get the “secret Ecom Funnel”!
See you soon!
Russell Brunson
P.S. Don’t forget, you’re just one funnel away….
© Etison LLC
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by "Russell | ClickFunnels" <noreply@clickfunnelsnotifications.com> - 06:02 - 22 Apr 2025 -
AI Is Moving Faster Than Your ERP – Are You Ready?
AI Is Moving Faster Than Your ERP – Are You Ready?
Hi MD Abul,
It’s been a turbulent few months in the digital transformation world.
- Major ERP vendors are laying off implementation and support staff.
- AI tools are evolving faster than most organizations can adapt.
- Cybersecurity risks are rising as more businesses shift to cloud-based systems.
In short: the pressure is on for CIOs, project leads, and digital teams to not only keep up—but lead the way.
That’s exactly why we’re hosting Digital Stratosphere 2025, our annual conference focused on helping you navigate this new digital era with clarity and confidence.
Whether you're mid-implementation or just beginning your transformation journey, the insights shared by real-world experts (not salespeople) will give you an edge.
Join us August 25–27 in Denver for "Mission: AI-Possible – Navigating the Future of Digital Evolution."
- Keynotes from tech leaders like Jan Baan, Walker Reynolds, and of course Eric Kimberling
- 3 days of practical strategies, panel discussions, and networking
Reserve your spot now:
https://www.thirdstage-consulting.com/stratosphere-2025Let us know if you have questions—we’d love to see you there.
Best regards,
Eric Kimberling
Third Stage Consulting 384 Inverness Pkwy Suite Suite #200 Englewood Colorado 80112 United States
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by "Eric Kimberling" <eric.kimberling@thirdstage-consulting.com> - 06:00 - 22 Apr 2025 -
Trusted Intermediates for Pharma Companies
Dear info,
Greetings from Jinan Tochem Co., Ltd. My name is Pierce Huang, and we are a reputable supplier of high-quality chemical intermediates used in pharmaceuticals, agrochemicals, and dyestuffs etc.
Our company is dedicated to supporting pharmaceutical companies with reliable intermediates that optimize production efficiency and product quality. We understand the critical role these components play in your business, and we strive to provide the best solutions available.
I would appreciate the opportunity to explore how our products can benefit your operations. Please feel free to reach out for more details or to arrange a discussion at your convenience.
If you can reply me, I will send you more pictures and company profile to you.
Best regards,
Pierce Huang
Business manager
Jinan Tochem Co., Ltd
Phone/whatsapp:86-18765821929
by "Walter Conan" <deangelo91723@gmail.com> - 05:53 - 22 Apr 2025 -
[48 HRS] Claim Your Free Dropshipping Store
Russell’s giving stores away at the masterclass!Yesterday was a big announcement letting you know ClickFunnels Dropshipping is here and ready for you to dive in!
And to help you feel comfortable with all the new features and tools, we are hosting a ClickFunnels Dropshipping Masterclass on Thursday @ 11AM PT | 2PM ET
During the live class, Russell and Jared Jared Goetz (CEO of Zendrop) are showing you how you can combine ClickFunnels’ amazing new storefronts with Zendrop’s backend to give you everything you need to launch and start selling Ecom in minutes!
Our partnership with Zendrop is a gamechanger!
You can jump on with Russell and Jared Goetz LIVE this Thursday, April 24th @ 11AM PT | 2PM ET!
REGISTER FOR THE CLICKFUNNELS DROPSHIPPING MASTERCLASS >>
Hope you can make it!
Todd Dickerson
P.S. Russell is going to give you a pre-built store for showing up to this LIVE masterclass, but you MUST attend the live masterclass to get it. REGISTER HERE!
© Etison LLC
By reading this, you agree to all of the following: You understand this to be an expression of opinions and not professional advice. You are solely responsible for the use of any content and hold Etison LLC and all members and affiliates harmless in any event or claim.
If you purchase anything through a link in this email, you should assume that we have an affiliate relationship with the company providing the product or service that you purchase, and that we will be paid in some way. We recommend that you do your own independent research before purchasing anything.
Copyright © 2018+ Etison LLC. All Rights Reserved.
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by "Todd Dickerson (ClickFunnels)" <noreply@clickfunnelsnotifications.com> - 03:05 - 22 Apr 2025 -
America at 250: An introduction
7 essays on the opportunities ahead Brought to you by Drew Ungerman (Drew_Ungerman@McKinsey.com), global leader of McKinsey’s Public Sector Practice
New from McKinsey & Company
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April 23: Business in a new geopolitical era
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April 24: US government productivity
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April 25: Performance for state governments
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April 28: Empowering the US workforce
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April 29: Powering a new era of energy demand
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April 30: Advancing America's holistic health
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May 1: ‘Inside-out' leadership
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 02:11 - 22 Apr 2025 -
How DoorDash’s In-House Search Engine Achieved a 50% Drop in Latency
How DoorDash’s In-House Search Engine Achieved a 50% Drop in Latency
🚀Faster mobile releases with automated QA (Sponsored)͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ Forwarded this email? Subscribe here for more🚀Faster mobile releases with automated QA (Sponsored)
Manual testing on mobile devices is too slow and too limited. It forces teams to cut releases a week early just to test before submitting them to app stores. And without broad device coverage, issues slip through.
QA Wolf’s AI-native service delivers 80% automated test coverage in weeks, with tests running on real iOS devices and Android emulators—all in 100% parallel with zero flakes.
QA cycles reduced to just 15 minutes
Multi-device + gesture interactions fully supported
Reliable test execution with zero flakes
Human-verified bug reports
Engineering teams move faster, releases stay on track, and testing happens automatically—so developers can focus on building, not debugging.
Rated 4.8/5 ⭐ on G2
Disclaimer: The details in this post have been derived from the articles written by the DoorDash engineering team. All credit for the technical details goes to the DoorDash Engineering Team. The links to the original articles are present in the references section at the end of the post. Some details related to Apache Lucene® have been taken from the Apache Lucene® official documentation. Apache Lucene® is a registered trademark of The Apache Software Foundation. We’ve attempted to analyze the details and provide our input about them. If you find any inaccuracies or omissions, please leave a comment, and we will do our best to fix them.
Elasticsearch is a proven, battle-tested search engine used by thousands of companies.
However, what works at one scale can fall apart at another. And for a company like DoorDash, operating across continents with a complex marketplace of stores, items, and logistics, things get complicated fast.
By early 2022, the cracks in the foundation were hard to ignore.
Originally, DoorDash's global search was focused on stores. For example, you would search for “pizza” and get nearby pizzerias. That’s a straightforward lookup: return documents tagged with pizza, sorted by location. But over time, user expectations evolved. People wanted to search for specific items, which meant the search had to understand not just where to order, but what they wanted.
To accommodate this shift, the system needed to:
Search across multiple document types.
Handle many-to-one and parent-child relationships.
Filter and rank results based on real-time availability, geo-location, user context, and business logic.
Elasticsearch wasn’t built for this. And though it could be forced to work for these requirements, it needed a lot of work from the engineering team.
Why Elasticsearch Wasn’t Sufficient?
Elasticsearch is a widely adopted solution across modern enterprises. See the diagram below that shows a typical Elasticsearch setup with Logstash and Kibana:
However, for DoorDash, it wasn’t sufficient for a few reasons.
At the heart of the issue was Elasticsearch’s document replication model.
In theory, this model ensures redundancy and resilience. In practice, it introduced significant overhead that made it hard to scale horizontally under DoorDash’s workload. Every document indexed needed to be replicated across nodes, which meant more disk I/O, more network chatter, and more coordination overhead. This became especially painful as the platform grew and indexing volumes spiked.
The second problem was deeper: Elasticsearch doesn’t natively understand relationships between documents. It treats each document as an island, which is fine if you’re searching blog posts or log files. But DoorDash needed to connect the dots between stores and items, and those relationships were critical. For example, if a store goes offline, its items shouldn't show up in search results.
And then, there’s query understanding and ranking. DoorDash needed custom ranking logic, ML-powered relevance tuning, and geo-personalized scoring. With Elasticsearch, all of that had to live outside the engine (in client code, pipelines, or upstream systems), making it fragile and hard to evolve.
Design Principles Behind DoorDash’s In-House Search
To solve the challenges with Elasticsearch, DoorDash decided to build a search engine that could meet their requirements.
However, DoorDash didn’t want to reinvent information retrieval from scratch.
Instead, they built a focused, high-performance engine on top of a battle-tested core and architected everything around flexibility, scalability, and isolation.
Apache Lucene® at the Core
Apache Lucene® is not a search engine. It’s a low-level library for indexing and querying text. Think of it like a database engine without the database: no cluster management, no networking, no APIs.
DoorDash picked Apache Lucene® for multiple reasons:
It’s fast, mature, and widely understood.
Apache Lucene® gives you primitives to build exactly what you want.
It’s already trusted by Elasticsearch and Solr under the hood.
However, Apache Lucene® was just the foundation. DoorDash wrapped it in their opinionated services, custom-built for how they think about search, traffic, scaling, and business logic. This gave them full control over performance, extensibility, and cost.
From Document Replication to Segment Replication
In Elasticsearch, every update means replicating full documents across nodes. That sounds fine until you’re processing thousands of changes per second.
DoorDash found a better way: segment replication.
Instead of duplicating documents, they replicate Apache Lucene® index segments: the actual on-disk structures built during indexing. This gave them some benefits:
Optimize indexing and search performance
Reduced compute cost since the work of indexing only happens on the primary node, not on all replicas.
Increased indexing throughput
By treating segments as the unit of replication, the system was able to cut down on churn and keep search nodes lean and stable.
Decoupling Indexing and Search
A common failure pattern in search systems is coupling the write and read paths too tightly. If indexing spikes, search slows down. If queries pile up, indexing stalls. DoorDash didn’t want that.
So they split things cleanly:
The Indexer Service builds Apache Lucene® segments and writes them to Amazon S3. It is a non-replicated service because horizontally scaling the indexer means increasing the number of index shards, which could be expensive.
The Searcher Service (fully replicated) downloads segments from S3 and serves queries.
The payoff from this was huge. Indexers scaled based on write load while searchers scaled based on read traffic. Neither was able to bring the other down.
Key Components of DoorDash’s Search Engine
The diagram below shows the high-level search stack architecture implemented by DoorDash:
There are four main components within the DoorDash Search Engine. Let’s look at each in detail:
1 - The Indexer
The indexer is the part of the system that turns raw data, menus, store info, and item availability into Lucene® segments that can be queried efficiently. It doesn’t serve any queries. It’s a write-only pipeline, pushing finalized Apache Lucene® segments to S3, where searchers can pick them up.
But not all data is created equal. Some changes need to go live now (like a store going offline). Others can wait (like a new menu item added for next week). DoorDash handles this with two-tiered indexing:
High-priority updates: Think availability toggles, store closures, or price changes. These updates go in immediately and are critical to the user experience.
Bulk updates: These are less time-sensitive and processed during scheduled full index rebuilds, typically every six hours.
This strategy balances freshness with performance. If everything were indexed immediately, it could choke the pipeline. If everything were batch, the results might be stale. Splitting the path lets the system stay fast and accurate.
2 - The Searcher
Searchers are replicated services that download prebuilt segments from S3 and use them to answer user queries.
Here are some key points about them:
Searchers never deal with indexing traffic. In other words, they’re not impacted by write spikes.
Scale horizontally based on read traffic
Can be swapped in and out without reindexing since segments are immutable and versioned.
This separation of concerns keeps the system stable. Even when indexing is busy, search stays fast. When search traffic spikes, indexing stays on track.
3 - The Broker
In a distributed search system, results live across many shards. So when someone searches for a term, the system has to:
Fan out the query to every relevant shard.
Collect and merge the results.
Rank and return them.
That’s the broker’s job.
But the broker doesn’t just forward the query. Before it does anything, it runs the input through a Query Understanding and Planning Service. That means the raw user input, misspellings, synonyms, and location context get transformed into a clean, semantically rich query that makes sense to the engine.
4 - Query Planning and Understanding
Search is only as good as your query. Users don’t always type what they mean. Also, different business units might need different ranking models or filter rules.
Rather than pushing all this logic to clients (which would create duplication, drift, and pain), DoorDash centralized it in a Query Planning & Understanding service.
This layer:
Rewrites user queries based on business logic, schema knowledge, and user context.
Applies rules and transformations specific to the index type (item vs. store).
Encodes ranking strategies and computed field logic.
This way, the clients don’t need to micromanage the query structure. They send high-level intent, and the query planner handles the complexity.
Index Schema and Query Language
Search systems tend to break down in one of two ways:
The schema is too rigid, so every new use case needs a hack.
The query language is too abstract, so business logic ends up buried in unreadable config or client code.
DoorDash tackled both problems head-on. They built a declarative, expressive, and extensible schema system, one that treats search not as text matching, but as structured, contextual information retrieval.
Declarative Index Configuration
The first principle was the separation of concerns: business logic belongs in the schema, not scattered across codebases. So DoorDash lets teams define their search behavior declaratively, using three core concepts:
1 - Indexed Fields
These are the raw ingredients that get stored in Apache Lucene®’s inverted index. They can be:
Text fields: Tokenized and scored with models like BM25.
Numeric values or doc values: Used for filtering, sorting, or boosting.
KNN vectors: For semantic search or embedding-based matching.
Dimensional points: Useful for things like geo-search or price ranges.
These are processed at index time: fast to query, static until reindexed.
2 - Computed Fields
Computed fields are evaluated at query time, based on:
The query itself
Indexed field values
Other computed fields
3 - Query Planning Pipelines
This is the glue that connects intent to execution.
A query planning pipeline takes a raw user query, often incomplete, messy, or ambiguous, and transforms it into a structured, executable search query.
This logic lives in one place, not hardcoded into clients, so it’s easy to version, update, and reuse.
Namespaces and Relationships
You can’t build a real-world search engine without modeling relationships.
At DoorDash, stores contain items, and that relationship matters. You don’t want orphaned items showing up when the parent store is closed. To model this, the schema supports namespaces (strongly typed document classes) and relationships between them.
Each namespace represents a distinct document type, such as store, item, and category. These document types have their fields, index settings, and logic.
DoorDash supports two types of relationships between namespaces, each with trade-offs:
In local-join, the child is indexed only if the parent references it. This is used when flexibility matters.
In block-join, the parent and children are indexed together as one unit. This is used when optimizing for latency, and there’s no problem in reindexing batches.
SQL-Like Query Language
DoorDash built a SQL-like API that lets teams describe queries cleanly and clearly. This language supports:
Keyword groups: For example, search by synonyms, stems, categories
Filter constraints: Price range, geo-radius, rating threshold
Sorting: By score, distance, freshness, or any custom logic
Join and dedupe operations: Avoid duplicate listings or improperly scoped results
Field selection: Return only the necessary fields for downstream systems
The query language gives engineers a clean, readable way to build powerful queries. It also sets a consistent contract between teams.
Search Stack Isolation and Control Plane
Most shared systems eventually buckle under their weight, not because the core logic fails, but because tenants step on each other’s toes, deployments collide, and configuration drift creates subtle, hard-to-debug bugs.
DoorDash saw that coming and made a bold design call: every index gets its isolated search stack. It’s not the lightweight approach. But it’s one of the most reliable.
Think of a search stack as a self-contained search engine in a box. It includes:
An Indexer for building Apache Lucene® segments.
One or more Searchers for serving queries.
A Broker that fans out, aggregates, and ranks.
Schema, config, and version metadata that are scoped only to that index.
Each stack is tied to a specific index and use case, like global item search, store discovery, or promo campaign lookup.
This design brings a lot of operational ease due to the following reasons:
Stability: If a bad index config or corrupted segment takes down one stack, the others stay up.
Flexibility: Different teams can use different query planners, schemas, ranking models, or pipelines without coordination.
Traceability: Resource usage, query performance, and indexing lag can all be scoped to the owning team. No more finger-pointing during incident reviews.
One question, however, remains: if every team has its stack, how do you manage rollouts, schema changes, and new deployments without introducing chaos?
That’s where the control plane steps in. It’s an orchestration layer responsible for:
Rolling out new generations of a search stack.
Managing versioned deployments (code + schema + config).
Gradually scaling up new instances and decommissioning old ones.
Conclusion
Rebuilding core infrastructure is always risky and complex. So when DoorDash migrated off Elasticsearch, the stakes were high. But the outcome was worth it.
Here are some gains they achieved:
50% reduction in p99.9 latency. This isn’t average latency but tail latency that has the most impact during high-traffic moments. Halving p99.9 means fewer timeouts, smoother user experience, and less need to overprovision.
75% drop in hardware costs. By cutting down redundant computation, reducing replication overhead, and better workload isolation, DoorDash dramatically lowered the footprint of its search infrastructure.
Ultimately, DoorDash didn’t just build a search engine but an entire platform that runs faster, costs less, and adapts better to future needs.
Note: Apache Lucene® is a registered trademark of the Apache Software Foundation.
References:
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Positioning organizations to thrive in an evolving trade landscape
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Tariffs’ effects on business. Since the US’s announcement of reciprocal tariffs in early April, global financial markets have experienced more volatility, raising concerns about the world economy. It’s highly uncertain how these measures will evolve, particularly with the 90-day hold that the US has placed on most country-specific tariffs. Even so, the changes in trade policy are bound to affect business costs, consumer demand, and companies’ competitive positions, McKinsey Senior Partners Cindy Levy and Shubham Singhal and coauthor Zoe Fox explain.
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Russell actually put together a Masterclass with Jared Goetz (CEO of Zendrop) that will cover everything you need to know.
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