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Dynatrace Cost & Carbon Optimization certified for accuracy and transparency

Dynatrace

The certification results are now publicly available. The calculations and methodology used are in line with the best available scientific approach, as well as with relevant reporting requirements. We are updating product documentation to include underlying static assumptions.

Energy 223
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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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Dynatrace Managed now available on all major cloud platforms

Dynatrace

Dynatrace Managed now available on the Google Cloud Platform. You’re then presented with the Dynatrace Managed cluster deployment page, which contains basic information about Dynatrace, the solution itself, and a link to our documentation. Name your deployment with a name that’s unique to your active GCP project.

Cloud 264
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Both categories share common requirements, such as high throughput and high availability. 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. Let’s take a closer look at the structure and functionality of the API.

Latency 248
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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.

Speed 130
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. What is RabbitMQ?

Latency 147
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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