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1000 results for “infoq”
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#CaseStudy - #Airbnb upgraded Mussel!
The multi-tenant key-value store now replaces static per-client rate limits with an adaptive, resource-aware traffic control system.
✅ Ensures resilience during traffic spikes
✅ Protects critical workflows
✅ Maintains fair usage across thousands of tenants
✅ Scales efficientlyDiscover more here: https://bit.ly/48yJalh
#InfoQ #SoftwareArchitecture #LowLatency #Kubernetes #CostSavings #RealTime #Algorithms #Sharding
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Meet 𝐌𝐨𝐧𝐨𝐜𝐥𝐞 – Datadog’s new 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐭𝐢𝐦𝐞𝐬𝐞𝐫𝐢𝐞𝐬 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐞𝐧𝐠𝐢𝐧𝐞!
Written in #RustLang, it unifies metrics storage infrastructure to deliver:
⇨ Higher ingestion throughput
⇨ Lower query latency
⇨ Reduced operational complexity🔗 Details here: https://bit.ly/3VTWLNb
#InfoQ #SoftwareArchitecture #Observability #DataStorage #Sharding
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In our new #InfoQ #podcast, Deepthi Sigireddi dives deep into the architecture of cloud-native distributed databases, sharding, replication, and failover.
🎧 Listen now 👉 https://bit.ly/3QRUXSD
#CloudNativeArchitecture #Database #DistributedData #Sharding
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Dive into the world of #GraphNeuralNetworks (GNNs)!
Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.
🎥 Watch now on #InfoQ: https://bit.ly/3UXutls
#transcript included
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#AICodingTools are not a replacement for engineers - they’re a true Force Multiplier!
By offloading routine code generation and analysis, developers gain more time for deep problem-solving & thoughtful system design.
The real differentiator❓ ➡️ Strong prompt engineering ➡️ Clear instructions ➡️ A workflow that keeps humans firmly in the loop ➡️ Rigorous validation of AI-generated output
🎙️ #InfoQ Podcast with Olivia McVicker (Senior Dev Advocate at Microsoft) & host Thomas Betts (InfoQ Editor)
🔗 (available in both audio & video formats): https://bit.ly/3NWeX7L
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𝐒𝐨𝐦𝐞𝐭𝐢𝐦𝐞𝐬, 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐰𝐚𝐲 𝐭𝐨 𝐦𝐨𝐯𝐞 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐢𝐬 𝐭𝐨 𝐬𝐭𝐚𝐫𝐭 𝐨𝐯𝐞𝐫.
In this #InfoQ article, Paul Dix shares the story of #𝐈𝐧𝐟𝐥𝐮𝐱𝐃𝐁’𝐬 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐫𝐞𝐰𝐫𝐢𝐭𝐞, moving to #RustLang and a new stack -Apache Flight, Data Fusion, Apache Arrow & Parquet (FDAP).
He explores:
✅ The mechanics of the rewrite
✅ The benefits of the new architecture
✅ The different product versions🔗 Read now: https://bit.ly/46eSvMV
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🚀 Exploring #ServerDrivenUI (SDUI) at #Netflix 🚀
This #InfoQ talk dives into:
✅ The challenges Netflix aimed to tackle with SDUI.
✅ How they extended SDUI beyond mobile platforms.
✅ Persistent challenges and lessons learned.
✅ A glimpse into the future of SDUI at Netflix.🎥 Watch now: https://bit.ly/4gM8oy8
#MobileDevelopment #CrossPlatform #UserInterface #QConLondon
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#AWSCloudShell now provides access to #DockerEngine for its users!
With this integration, containers can be locally prototyped and pushed to registries before deploying them on AWS.
Get more details on #InfoQ: https://bit.ly/3HKojgL
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❓ What happens when your batch job goes from “it works on my laptop” to out-of-memory errors and accidentally DDoS-ing your own dependencies?
Hugo Marques (Netflix) breaks down the evolution of a high-scale #SpringBoot + #gRPC workload: from single-threaded prototypes to #VirtualThreads & semaphores.
Through practical examples and code walk-throughs, he explores the trade-offs of concurrency tools - and why “just making it async” isn’t enough.
🎬 Watch now: https://bit.ly/4jEJAe1
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#MicroProfile 7.1 is out!
This release features continued alignment with Jakarta EE 10 and updates to two community-developed core APIs.
🔍 Get the technical details here 👉 https://bit.ly/4nlmH0s
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In this #InfoQ article, Ashwin Raghav addresses the most contentious parts of the #SemVer (#SemanticVersioning) standard to understand how you can trade off backward compatibility and upgradability with modernization and iterability: https://bit.ly/3U6gKbF
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In this #InfoQ article, Vignesh Durai explains how agentic and multimodal AI systems can be engineered using #ApacheCamel & #LangChain4j.
The solution combines LLM-based reasoning, retrieval-augmented generation (RAG), and image classification.
🔗 Read now: https://bit.ly/4sXdlcM
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#CaseStudy - Agoda consolidated multiple independent data pipelines into a central #ApacheSpark platform, eliminating financial data inconsistencies.
A multi-layered quality framework - with automated checks, ML anomaly detection, and data contracts - ensures accurate financial metrics while handling millions of daily bookings.
Deep dive into the architecture here ⇨ https://bit.ly/4a109NP
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Atlassian introduced Lithium - an in-house #ETL platform designed to meet the requirements of dynamic data movement.
Lithium simplifies cloud migrations, scheduled backups, and in-flight data validations with ephemeral pipelines and tenant-level isolation - ensuring efficiency, scalability & cost savings.
📢 InfoQ spoke with Niraj Mishra, Principal Engineer at Atlassian, about Lithium’s implementation and future.
🔗 Read more here: https://bit.ly/415RPYZ
#DataPipelines #KafkaStreams #ApacheKafka #ApacheFlink #SoftwareArchitecture
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#CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!
The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.
Dive into the details: https://bit.ly/3WgkTL7
#InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming
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Explore #QuixStreams - an #opensource #Python library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.
Learn more about the magic behind it: https://bit.ly/483oT3U
This #InfoQ talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.
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#Netflix created a new solution for incremental processing in its data platform, reducing computing costs and execution time.
Learn how Maestro #WorkflowEngine & #ApacheIceberg improve data freshness and accuracy: https://bit.ly/47G53vo
#InfoQ #SoftwareArchitecture #Database #DataPipelines #AI #ML
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#EventDrivenArchitecture promises scalability, traceability, and resilience—but in a regulated, cloud-native banking environment it also introduces real challenges.
In this #InfoQ video, Chris Tacey-Green explains the key #patterns used to build a real-time payment system in Azure, including inbox patterns, event sourcing, idempotency, and observability.
🎬 Watch now: https://bit.ly/41NZqLe
📄 #transcript included
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#EventDrivenArchitecture promises scalability, traceability, and resilience—but in a regulated, cloud-native banking environment it also introduces real challenges.
In this #InfoQ video, Chris Tacey-Green explains the key #patterns used to build a real-time payment system in Azure, including inbox patterns, event sourcing, idempotency, and observability.
🎬 Watch now: https://bit.ly/41NZqLe
📄 #transcript included
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#EventDrivenArchitecture promises scalability, traceability, and resilience—but in a regulated, cloud-native banking environment it also introduces real challenges.
In this #InfoQ video, Chris Tacey-Green explains the key #patterns used to build a real-time payment system in Azure, including inbox patterns, event sourcing, idempotency, and observability.
🎬 Watch now: https://bit.ly/41NZqLe
📄 #transcript included
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#EventDrivenArchitecture promises scalability, traceability, and resilience—but in a regulated, cloud-native banking environment it also introduces real challenges.
In this #InfoQ video, Chris Tacey-Green explains the key #patterns used to build a real-time payment system in Azure, including inbox patterns, event sourcing, idempotency, and observability.
🎬 Watch now: https://bit.ly/41NZqLe
📄 #transcript included
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Speed. Immediacy. Traceability.
That’s where #EventDrivenArchitecture shines in banking: decoupled systems, scalable services & clear activity trails.
But … EDA also introduces new complexity, failure modes & operational challenges.
In this #InfoQ article, Chris Tacey-Green breaks down where EDA actually adds value in banking systems - and the practical patterns needed to make it reliable.
📰 Read now: https://bit.ly/48asPCL
#SoftwareArchitecture #EDA #CloudNative #FinancialApplications
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Speed. Immediacy. Traceability.
That’s where #EventDrivenArchitecture shines in banking: decoupled systems, scalable services & clear activity trails.
But … EDA also introduces new complexity, failure modes & operational challenges.
In this #InfoQ article, Chris Tacey-Green breaks down where EDA actually adds value in banking systems - and the practical patterns needed to make it reliable.
📰 Read now: https://bit.ly/48asPCL
#SoftwareArchitecture #EDA #CloudNative #FinancialApplications
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Speed. Immediacy. Traceability.
That’s where #EventDrivenArchitecture shines in banking: decoupled systems, scalable services & clear activity trails.
But … EDA also introduces new complexity, failure modes & operational challenges.
In this #InfoQ article, Chris Tacey-Green breaks down where EDA actually adds value in banking systems - and the practical patterns needed to make it reliable.
📰 Read now: https://bit.ly/48asPCL
#SoftwareArchitecture #EDA #CloudNative #FinancialApplications
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Speed. Immediacy. Traceability.
That’s where #EventDrivenArchitecture shines in banking: decoupled systems, scalable services & clear activity trails.
But … EDA also introduces new complexity, failure modes & operational challenges.
In this #InfoQ article, Chris Tacey-Green breaks down where EDA actually adds value in banking systems - and the practical patterns needed to make it reliable.
📰 Read now: https://bit.ly/48asPCL
#SoftwareArchitecture #EDA #CloudNative #FinancialApplications
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Passionate about Software Architecture?
✍️ Join the #InfoQ Annual Article Writing Competition and share your insights!
🏆 Win a #FreeTicket to #QCon or #InfoQDevSummit!
🔗 Submit by March 30, 2025: https://bit.ly/417KPtk
Explore topics like #CellBasedArchitecture, #GraphQLFederation, #DataDrivenArchitecture, #PlatformArchitecture, #EdgeComputing, #MicroFrontends, #AsyncAPI, and more!
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Watch the #InfoQ talk on the evolution of #Netflix architecture: https://bit.ly/3SSb036
Paul Bakker debunks myths & explores topics such as Java frameworks, the move away from RxJava, GraphQL Federation, gRPC, developer tooling, and what microservices means.
Learn from their mistakes and be prepared for the next time someone tries to win an argument with:
“but Netflix does it…”. -
Watch the #InfoQ talk on the evolution of #Netflix architecture: https://bit.ly/3SSb036
Paul Bakker debunks myths & explores topics such as Java frameworks, the move away from RxJava, GraphQL Federation, gRPC, developer tooling, and what microservices means.
Learn from their mistakes and be prepared for the next time someone tries to win an argument with:
“but Netflix does it…”. -
“Is #Netflix all RxJava microservices with Hystrix and Spring Cloud and Chaos Monkeys running the show?” Well…think again!
Paul Bakker described the evolution of the architecture behind the movie application, introduced the #GraphQLFederation, and described how #Java is used, including plans to support JDK 21: https://bit.ly/3QbBYCp
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“Is #Netflix all RxJava microservices with Hystrix and Spring Cloud and Chaos Monkeys running the show?” Well…think again!
Paul Bakker described the evolution of the architecture behind the movie application, introduced the #GraphQLFederation, and described how #Java is used, including plans to support JDK 21: https://bit.ly/3QbBYCp