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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale.

Cloud 263
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Today, we’re excited to present the Distributed Counter Abstraction. In this context, they refer to a count very close to accurate, presented with minimal delays. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

Latency 247
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Introducing Impressions at Netflix

The Netflix TechBlog

This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. This integration will not only optimize performance but also ensure more efficient resource utilization.

Tuning 165
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

This leads to a more efficient and streamlined experience for users. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Challenges with running Hyper-V Working with Hyper-V can come with several challenges.

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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 208
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Top PostgreSQL 17 New Features

Scalegrid

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. JSON_QUERY extracts JSON fragments based on query conditions.

Speed 130
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. They allow us to verify whether titles are presented as intended and investigate any discrepancies. The stakes are even higher when ensuring every title launches flawlessly.

Traffic 168