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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. Scalability. Finally, there’s scalability.

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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. The CSI pod is mounted to application pods using an overlay file system. These CSI pods provide a unique way of solving a handful of infrastructure problems.

Google 208
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Stop worrying about log data ingest and storage — start creating value instead.

Analytics 223
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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

We are introducing native support for document model like JSON into DynamoDB, the ability to add / remove global secondary indexes, adding more flexible scaling options, and increasing the item size limit to 400KB. NoSQL and Flexibility: Document Model. JSON-style document model enables customers to build services that are schema-less.

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Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

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Optimize MongoDB® Pagination

Scalegrid

Offset-based involves utilizing functions such as skip , limit and a query which indicates how many documents should be skipped or returned at maximum. Its use includes the limit method, which establishes how many documents will be returned in a query result. This can be expressed as db.collection_name.find().limit(number).