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1000 results for “infoq”
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#AWS has released an analysis of the major October outage, highlighting key lessons on:
⇨ cloud redundancy
⇨ multi-region architectures
⇨ considerations for moving workloads out of the public cloudTriggered by a failure in Amazon #DynamoDB, the outage affected a wide range of services in its busiest region, Northern Virginia.
Learn more: https://bit.ly/4raUs6E
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#AWS has released an analysis of the major October outage, highlighting key lessons on:
⇨ cloud redundancy
⇨ multi-region architectures
⇨ considerations for moving workloads out of the public cloudTriggered by a failure in Amazon #DynamoDB, the outage affected a wide range of services in its busiest region, Northern Virginia.
Learn more: https://bit.ly/4raUs6E
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#AWS has released an analysis of the major October outage, highlighting key lessons on:
⇨ cloud redundancy
⇨ multi-region architectures
⇨ considerations for moving workloads out of the public cloudTriggered by a failure in Amazon #DynamoDB, the outage affected a wide range of services in its busiest region, Northern Virginia.
Learn more: https://bit.ly/4raUs6E
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#AWS has released an analysis of the major October outage, highlighting key lessons on:
⇨ cloud redundancy
⇨ multi-region architectures
⇨ considerations for moving workloads out of the public cloudTriggered by a failure in Amazon #DynamoDB, the outage affected a wide range of services in its busiest region, Northern Virginia.
Learn more: https://bit.ly/4raUs6E
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#AWS has released an analysis of the major October outage, highlighting key lessons on:
⇨ cloud redundancy
⇨ multi-region architectures
⇨ considerations for moving workloads out of the public cloudTriggered by a failure in Amazon #DynamoDB, the outage affected a wide range of services in its busiest region, Northern Virginia.
Learn more: https://bit.ly/4raUs6E
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DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
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DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
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DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
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Lakehouse architectures allow multiple engines to run on shared data through open table formats like #ApacheIceberg.
But #SQL identifier resolution and catalog naming rules differ across engines - creating hidden interoperability failures.
In this #InfoQ article, Maninder Parmar explains why enforcing consistent naming conventions and cross-engine validation is critical.
📰 Read now: https://bit.ly/4902zeH
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Lakehouse architectures allow multiple engines to run on shared data through open table formats like #ApacheIceberg.
But #SQL identifier resolution and catalog naming rules differ across engines - creating hidden interoperability failures.
In this #InfoQ article, Maninder Parmar explains why enforcing consistent naming conventions and cross-engine validation is critical.
📰 Read now: https://bit.ly/4902zeH
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Lakehouse architectures allow multiple engines to run on shared data through open table formats like #ApacheIceberg.
But #SQL identifier resolution and catalog naming rules differ across engines - creating hidden interoperability failures.
In this #InfoQ article, Maninder Parmar explains why enforcing consistent naming conventions and cross-engine validation is critical.
📰 Read now: https://bit.ly/4902zeH
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#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.
✅ Task parallelization
✅ Uber jobs for small transfers
✅ Improved observabilityResult: 5× replication capacity & seamless on-prem-to-cloud migration.
Read more: https://bit.ly/4bwUUFt
#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake
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#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.
✅ Task parallelization
✅ Uber jobs for small transfers
✅ Improved observabilityResult: 5× replication capacity & seamless on-prem-to-cloud migration.
Read more: https://bit.ly/4bwUUFt
#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake
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#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.
✅ Task parallelization
✅ Uber jobs for small transfers
✅ Improved observabilityResult: 5× replication capacity & seamless on-prem-to-cloud migration.
Read more: https://bit.ly/4bwUUFt
#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake
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#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.
✅ Task parallelization
✅ Uber jobs for small transfers
✅ Improved observabilityResult: 5× replication capacity & seamless on-prem-to-cloud migration.
Read more: https://bit.ly/4bwUUFt
#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake
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Shifting Left delivers clean, reliable, and accessible data to everyone who needs it - right when they need it.
The result? Less complexity, lower overhead, and far less break-fix work, freeing teams to focus on higher-value problems.
At the core of a #ShiftLeft strategy are Data Products. They form the backbone of healthy data communication and ensure quality is built in - not patched on later.
📖 Great insights from this #InfoQ article on rethinking the Medallion Architecture: https://bit.ly/3WHjxsf
#SoftwareArchitecture #DataMesh #DataEngineering #DataLake #DataPipelines
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Shifting Left delivers clean, reliable, and accessible data to everyone who needs it - right when they need it.
The result? Less complexity, lower overhead, and far less break-fix work, freeing teams to focus on higher-value problems.
At the core of a #ShiftLeft strategy are Data Products. They form the backbone of healthy data communication and ensure quality is built in - not patched on later.
📖 Great insights from this #InfoQ article on rethinking the Medallion Architecture: https://bit.ly/3WHjxsf
#SoftwareArchitecture #DataMesh #DataEngineering #DataLake #DataPipelines
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Shifting Left delivers clean, reliable, and accessible data to everyone who needs it - right when they need it.
The result? Less complexity, lower overhead, and far less break-fix work, freeing teams to focus on higher-value problems.
At the core of a #ShiftLeft strategy are Data Products. They form the backbone of healthy data communication and ensure quality is built in - not patched on later.
📖 Great insights from this #InfoQ article on rethinking the Medallion Architecture: https://bit.ly/3WHjxsf
#SoftwareArchitecture #DataMesh #DataEngineering #DataLake #DataPipelines
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Cloudflare has just launched the open beta of its Cloudflare Data Platform - a managed service for ingesting, storing & querying analytical data tables using open standards like Apache Iceberg.
🔍 Dive into the key insights on #InfoQ ⇨ https://bit.ly/49y1tIa
#CloudComputing #DataLake #DataAnalytics #ApacheIceberg #Cloudflare
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Cloudflare has just launched the open beta of its Cloudflare Data Platform - a managed service for ingesting, storing & querying analytical data tables using open standards like Apache Iceberg.
🔍 Dive into the key insights on #InfoQ ⇨ https://bit.ly/49y1tIa
#CloudComputing #DataLake #DataAnalytics #ApacheIceberg #Cloudflare
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Cloudflare has just launched the open beta of its Cloudflare Data Platform - a managed service for ingesting, storing & querying analytical data tables using open standards like Apache Iceberg.
🔍 Dive into the key insights on #InfoQ ⇨ https://bit.ly/49y1tIa
#CloudComputing #DataLake #DataAnalytics #ApacheIceberg #Cloudflare
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Grafana Labs announced #Grafana 13, introducing a new Loki Kafka-backed ingestion architecture and AI Observability in Grafana Cloud for real-time monitoring and evaluation of AI systems.
The release also includes GCX, a new CLI designed to surface Grafana Cloud data inside agentic development environments.
Details here 👉 https://bit.ly/4mPUqz8
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#Pinterest launched a next-gen CDC-based ingestion framework.
Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
• Latency cut from 24+ hours to 15 minutes
• Processing of only changed records
• Support for incremental updates & deletions
• Petabyte-scale data across 1,000+ pipelinesWin: optimized cost & efficiency!
Read the architectural deep dive on InfoQ 👉 https://bit.ly/4rMJB2H
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#Uber has open-sourced #uForwarder - a push-based #ApacheKafka consumer proxy built to handle trillions of messages & multiple petabytes of data daily.
uForwarder introduces:
🔹 Context-aware routing
🔹 Head-of-line blocking mitigation
🔹 Adaptive auto-rebalancing
🔹 Partition-level delay processingThe result ❓ Read #InfoQ to find out: https://bit.ly/4u9T2Lg
#SoftwareArchitecture #EventDrivenArchitecture #Microservices #DistributedSystems #OpenSource
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#LinkedIn just upgraded its legacy ZooKeeper service discovery platform to enhance scalability & performance.
How❓ By leveraging #ApacheKafka & the xDS protocol.
The result❓ The new architecture enables eventual consistency, supports multiple languages, and allows migration without downtime.Details here ⇨ https://bit.ly/3NRZFRP
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#CaseStudy - Karrot replaced its legacy recommendation system with a new scalable architecture powered by multiple AWS services.
The shift addresses issues of tight coupling, limited scalability, and poor reliability in the previous setup - moving to a distributed, event-driven design built on scalable cloud infrastructure.
🔗 Learn how they did it: https://bit.ly/4pzELow
#AWS #EventDrivenArchitecture #DistributedCache #ApacheKafka #InfoQ
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Want a fast, practical intro to #DomainDrivenDesign?
Download the FREE InfoQ eMag “Domain-Driven Design Quickly” and get the fundamentals that every software architect should know.
Whether you’re new to #SoftwareArchitecture or looking to sharpen your design thinking, this is a must-read.
📥 Get your copy: https://bit.ly/4dG9D0A
#SoftwareArchitecture #DDD #Methodologies #DesignPatterns #ProjectManagement
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As 2025 wraps up, the #InfoQ #podcast unpacks the biggest shifts in software:
⇨ AI workflows
⇨ Architectural complexity
⇨ Sociotechnical systems
⇨ Platform productsPlus, a look ahead at what 2026 has in store.
🎧 Listen now: https://bit.ly/4ptdvqH
#SoftwareTrends #SoftwareArchitecture #AI #DevOps #PlatformEngineering #DeveloperExperience #Culture #Methodologies #MCP
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Have you heard of #ResidualityTheory?
It’s about stressing naive architectures to reveal hidden “attractors” in complex business systems - helping designs adapt and thrive amid change and uncertainty.
📘 InfoQ spoke with Barry O’Reilly to dive deep into this concept.
🔗 Read now: https://bit.ly/4oeUlo6
#SoftwareArchitecture #ComplexSystems #InfoQ #Methodologies #Agile
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Discover the fundamentals of Domain-Driven Design (#DDD) with a #FreeDownload of the #InfoQ guide "Domain Driven Design Quickly"!
Whether you're new to #SoftwareArchitecture or looking to deepen your knowledge, this resource is a must-have.
📥 Grab your copy here: https://bit.ly/4dG9D0A
#SoftwareArchitecture #Methodologies #DesignPattern #ProjectManagement