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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

Latency 248
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Storage handling improvements increase retention of transaction data for Dynatrace Managed

Dynatrace

Using existing storage resources optimally is key to being able to capture the right data over time. Increased storage space availability. The compression of transaction data older than three days can free up to 50% more storage space in your Dynatrace Managed Cluster. Data compression is completed on June 12.

Storage 246
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AWS serverless services: Exploring your options

Dynatrace

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. As data volumes rapidly increase, streamlined data storage is a top priority.

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Top PostgreSQL 17 New Features

Scalegrid

Unlike full backups that duplicate everything, incremental backups store only changes since the last save, reducing storage needs and speeding up recovery. Key Benefits: Smaller Storage Footprint: Saves only modified data, cutting down backup size. JSON_VALUE retrieves individual values from JSON documents. </p>

Speed 130
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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130
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Privacy spotlight: Control compliance in Dynatrace with multiple layers of sensitive data masking

Dynatrace

Masking at storage: Data is persistently masked upon ingestion into Dynatrace. Leverage three masking layers Masking at capture and masking at storage operations exclude targeted sensitive data points. Read more about these options in Log Monitoring documentation.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Message Broker vs. Distributed Event Streaming Platform RabbitMQ functions as a message broker, managing message confirmation, routing, storage, and delivery within a queue. What is RabbitMQ?

Latency 147