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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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Upload Files to AWS S3 in JMeter Using Groovy

DZone

I use my personal AWS S3 to store all my personal and confidential documents. S3 plays a critical role in storing objects in hot and cold storage. Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance.

AWS 130
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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 230
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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. We use the Dynatrace Operator Helm chart to deploy Dynatrace Kubernetes Application observability as described in the documentation. Agent logs security.

Google 216
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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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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).

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Conducting log analysis with an observability platform and full data context

Dynatrace

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. “Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis.

Analytics 183