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GitHub - imsnif/bandwhich: Terminal bandwidth utilization tool
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AWS Fargate adds support for monitoring the storage utilization
AWS Fargate adds the ability to monitor the utilization of the ephemeral storage attached to a Amazon Elastic Container Service (ECS) task. Customers can track the storage utilization with Amazon CloudWatch Container Insights and ECS Task Metadata endpoint. Container Insights helps monitor usage, visualize metrics on CloudWatch dashboards, and create alarms to be notified when the usage is approac
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Monitoring EC2 Connection Tracking utilization using a new network performance metric | Amazon Web Services
Networking & Content Delivery Monitoring EC2 Connection Tracking utilization using a new network performance metric In 2020, Amazon Elastic Compute Cloud (Amazon EC2) announced new network performance metrics for EC2 instances made available using ENA driver and Amazon CloudWatch agent. We covered the launch in this post. These network performance metrics give customers visibility into the number
GitHub - davidB/kubectl-view-allocations: kubectl plugin to list allocations (cpu, memory, gpu,... X utilization, requested, limit, allocatable,...)
kubectl plugin lists allocations for resources (cpu, memory, gpu,...) as defined into the manifest of nodes and running pods. It doesn't list usage like kubectl top. It can provide result grouped by namespaces, nodes, pods and filtered by resources'name. Columns displayed : Requested : Quantity of resources requested by the container in the pod's manifest. It's the sum group by pod, namespace, nod
Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger | Amazon Web Services
AWS Machine Learning Blog Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger At AWS re:Invent 2020, AWS released the profiling functionality for Amazon SageMaker Debugger. In this post, we expand on the importance of profiling deep neural network (DNN) training, review some of the common performance bottlenecks you might encounter, and demonstrate
GCP の CPU usage と CPU utilization 指標についてちょっとハマったので、かんたんに調べたことを整理した。 以下正確ではないが、こういうイメージで理解しているというメモ。また各例は GCE インスタンスの指標をとりあげているが、他も同じだと思う。 CPU usage (xxx/cpu/usage_time) usage_time は 1 秒あたりの cpu が利用中だった秒数。すべての vCPU について、60 秒のウィンドウで計測し集計。単位は s/s で、分子は利用中の秒数、分母は秒だと思う。 例えば 4 vCPU のインスタンスで、ある 60 秒間について、それぞれ 30 秒、0 秒、15 秒、0 秒利用中だった場合、usage_time は 0.75 s/s となる。 (30 + 0 + 15 + 0) / 60 = 0.25 (s/s) 当然数値は 1
Why It’s Costly Keeping Everyone Busy in Software Organizations Photo by José Martín Ramírez Carrasco on UnsplashIntroductionIn 1968, Edsger Dijkstra authored a letter, Go To Statement Considered Harmful, that tectonically shifted the ground under software engineering [1]. For years, programmers had written code making liberal use of the GoTo statement, necessitating that anyone reading the code h
In the last year, I've spent many hours writing patches for libuv and Node to collect new metrics. The goal of this was to indirectly infer the state of the application without introducing measurable overhead. I've run a few hundred hours of benchmarks and collected over one million data points to make sure my analysis was correct. Eventually, I plan to write about all aspects of my research, but
Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django Going from 10K to 1M requests per minuteIn early 2021, Clubhouse started going through a period of explosive growth. Over the course of two months we went from less than 10K to over 1M backend requests per minute, and we had to quickly adapt to serve billions of requests a day on our existing stack. And we only had two ful
The resource utilization trap
Henrik Kniberg explains the resource utilization trap, how it impacts our ability to deliver and what we can do about it. Visit http://www.crisp.se to find courses, books, products and interesting blogs. Henriks's blog: http://blog.crisp.se/author/henrikkniberg Camera and editing: Jimmy Janlén Here's a live version of the demo, from a talk in Norway: https://vimeo.com/114875137 (starts at 4:26
Identify bottlenecks, improve resource utilization, and reduce ML training costs with the deep profiling feature in Amazon SageMaker Debugger | Amazon Web Services
AWS Machine Learning Blog Identify bottlenecks, improve resource utilization, and reduce ML training costs with the deep profiling feature in Amazon SageMaker Debugger Machine learning (ML) has shown great promise across domains such as predictive analysis, speech processing, image recognition, recommendation systems, bioinformatics, and more. Training ML models is a time- and compute-intensive pr
Understanding Amazon Aurora MySQL storage space utilization | Amazon Web Services
AWS Database Blog Understanding Amazon Aurora MySQL storage space utilization Amazon Aurora is a fully managed relational database service designed to provide the performance, scalability, and availability of high-end commercial databases while offering the simplicity and cost-effectiveness of open-source databases. Amazon Aurora MySQL-Compatible Edition is wire-compatible with MySQL making it an
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CPU Utilization is Wrong
GCP の CPU usage と CPU utilization 指標の整理
Utilization Considered Harmful
Introduction to Event Loop Utilization in Node.js
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