DevOps
fromInfoQ
1 day agoBeyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker
Docker Extensions enhance developer productivity but may not meet enterprise needs for security, compliance, and integration.
#spark-system
#spark-system
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#ai-agents #ai-infrastructure #aws #observability #cloud-computing #ai #coreweave #databricks #open-source #kubernetes
#ai-agents
React
fromAmazon Web Services
5 days agoEmbed a live AI browser agent in your React app with Amazon Bedrock AgentCore | Amazon Web Services
Users need visibility into AI agents' actions to maintain trust and control over their interactions.
fromInfoWorld
5 days agoMeta's Muse Spark: a smaller, faster AI model for broad app deployment
The model's other capabilities, including support for multimodal inputs, multiple reasoning modes, and parallel sub-agents for complex queries, could help enterprises build faster, task-focused AI for customer support, automation, and internal copilots without relying on heavier models.
Artificial intelligence
Business intelligence
fromInfoWorld
3 weeks agoSnowflake's new 'autonomous' AI layer aims to do the work, not just answer questions
Project SnowWork is Snowflake's autonomous AI layer that automates data analysis tasks like forecasting, churn analysis, and report generation without requiring data team intervention.
#ai-automation
Artificial intelligence
fromTechzine Global
3 weeks agoSnowflake's Project SnowWork targets autonomous enterprise AI
Snowflake launches Project SnowWork, an autonomous AI interface that performs enterprise tasks like forecasts and reports without data team involvement, expanding from backend infrastructure to front-office productivity tool.
Artificial intelligence
fromTechzine Global
3 weeks agoSnowflake's Project SnowWork targets autonomous enterprise AI
Snowflake launches Project SnowWork, an autonomous AI interface that performs enterprise tasks like forecasts and reports without data team involvement, expanding from backend infrastructure to front-office productivity tool.
DevOps
fromInfoQ
3 weeks agoQCon London 2026: Wrangling Telemetry at Scale, a Guide to Self-Hosted Observability
Self-hosted observability stacks require significant resources and expertise; organizations should exhaust all alternatives before building internally, requiring 2-3 full-time engineers and substantial funding.
DevOps
fromInfoQ
4 weeks agoQCon London 2026: Uncorking Queueing Bottlenecks with OpenTelemetry
Distributed tracing with OpenTelemetry enables engineers to identify root causes across service boundaries by maintaining hierarchical visibility of operations, while SLOs based on latency provide more reliable alerting than infrastructure metrics.
fromInfoQ
2 months agoCloudflare Introduces Aggregations in R2 SQL for Data Analytics
R2 SQL now supports SUM, COUNT, AVG, MIN, and MAX, as well as GROUP BY and HAVING clauses. These aggregation functions let developers run SQL analytics directly on data stored in R2 via the R2 Data Catalog, enabling them to quickly summarize data, spot trends, generate reports, and identify unusual patterns in logs. In addition to aggregations, the update introduces schema discovery commands, including SHOW TABLES and DESCRIBE.
Software development
Artificial intelligence
fromInfoQ
2 months agoAutonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark
A Q-learning agent autonomously learns and generalizes optimal Spark configurations by discretizing dataset features and combining with Adaptive Query Execution for superior performance.
fromTechzine Global
2 months agoDatabricks makes serverless Postgress service Lakebase available
Databricks today announced the general availability of Lakebase on AWS, a new database architecture that separates compute and storage. The managed serverless Postgres service is designed to help organizations build faster without worrying about infrastructure management. When databases link compute and storage, every query must use the same CPU and memory resources. This can cause a single heavy query to affect all other operations. By separating compute and storage, resources automatically scale with the actual load.
Software development
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