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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure.

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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

A quick configuration change may do the trick in improving the performance of your AWS RDS for MySQL instance. It becomes more manageable and efficient by isolating logs and data to a dedicated mount. Benchmarking AWS RDS DLV setup Setup 2 RDS Single DB instances 1 EC2 Instance Regular DLV Enabled Sysbench db.m6i.2xlarge

AWS 93
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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” Fact #1: AWS EC2 outage properly documented. Fact #1: AWS EC2 outage properly documented. There really was an outage and AWS did a great job notifying their users about any service disruptions via their AWS Service Health Dashboard.

AWS 195
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Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused…

The Netflix TechBlog

By making consumption on-demand, you’re able to freely publish all of your data to Mantis. Mantis is Cost-Effective in Answering Questions Publishing 100% of your operational data so that you’re able to answer new questions in the future is traditionally cost prohibitive at scale. We should be able to access these events in realtime.

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Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 220
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202