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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

An essential observability engineering tool Prometheus is an open-source telemetry database service that records and stores custom software metrics and provides a standardized interface to pull (in Prometheus terms, “scrape”) data using HTTP requests. To set the stage, let’s have a quick recap of what Prometheus is and what it does.

Metrics 182
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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COLD, WARM, HOT … CLEAN, DIRTY, FREE … What Does All This Mean?

SQL Server According to Bob

The CPU has a property of requiring electricity and the physical translation of that energy into CPU activity results in heat. If you talk about database pages HOT is a good thing. If the database page is held in the SQL Server Buffer Pool, main ram it is called HOT. When the database page is.

Cache 40
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Reducing PostgreSQL Costs in the Cloud

Percona

In the Home Dashboard of PMM, a low CPU utilization on any of the database services that are being monitored could mean that the server is inactive or over-provisioned. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2.

Cloud 116
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Stuff The Internet Says On Scalability For June 15th, 2018

High Scalability

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? JoeEmison : Another thing that serverless architectures change: how do you software development.

Internet 113
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State Management and Scheduling with the Amazon EC2 Container Service

All Things Distributed

These are challenging problems that engineers building software systems have been trying to solve for a long time. Our customers have told us that scaling and operating these data storage systems is very challenging. There is nothing to install and no database to manage. Scheduling with Amazon ECS.

Energy 116
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.