Analysis, AWS, Operating System and Storage - Technology Performance Pulse

Kubernetes in the wild report 2023

Dynatrace

JANUARY 16, 2023

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. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source

Open Source Java Operating System Programming

Kubernetes: Challenges for observability platforms

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization

Virtualization Infrastructure Monitoring Cloud

What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

JUNE 21, 2022

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. We had specializations in hardware, operating systems, databases, graphics, etc. He hasn’t changed.

Tuning

Tuning Benchmarking Engineering C++

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Now you have the additional value of log data informing your Dynatrace root cause analysis should a problem arise on this host.

Efficiency

Efficiency Architecture Energy Monitoring

A 5G future

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? Mike Loukides.

Wireless

Wireless Serverless IoT Artificial Intelligence

Mastering Kubernetes with Dynatrace

Dynatrace

AUGUST 24, 2020

To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on this analysis, these systems can take actions such as alerting or remediation. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics

Analytics Infrastructure AWS Operating System

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics

Analytics Monitoring Artificial Intelligence DevOps

Mastering Kubernetes with Dynatrace

Dynatrace

AUGUST 24, 2020

To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on th is analysis , these systems can take actions such as alerting or remediation. And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace. .

Analytics

Analytics Infrastructure AWS Operating System

What Is a Workload in Cloud Computing

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally.

Cloud

Cloud Virtualization Storage Efficiency

Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud

Cloud Media Storage Cache

Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

APRIL 9, 2015

Details on the AWS Blog. The Amazon Elastic File System. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Details on the AWS Blog.

Lambda

Lambda Cloud IoT AWS

Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. Carbon measurements are by their nature imprecise and based on estimates and models that include variation.

Energy

Energy Metrics Cloud Operating System

Failure Modes and Continuous Resilience

Adrian Cockcroft

NOVEMBER 11, 2019

The second technique starts with the system constraints that need to be satisfied to maintain safe and successful operation and works in a top down manner using System Theoretic Process Analysis (STPA), or the more specific technique System Theoretic Accident Model and Processes (STAMP).

Latency

Latency Engineering Systems Hardware

Failure Modes and Continuous Resilience

Adrian Cockcroft

NOVEMBER 11, 2019

The second technique starts with the system constraints that need to be satisfied to maintain safe and successful operation and works in a top down manner using System Theoretic Process Analysis (STPA), or the more specific technique System Theoretic Accident Model and Processes (STAMP).

Latency

Latency Engineering Systems Hardware

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Recommendations.

Architecture

Architecture Cache Azure Storage

Technology Performance Pulse

Kubernetes in the wild report 2023

Kubernetes: Challenges for observability platforms

Trending Sources

What Adrian Did Next?—?Part 2?—?Sun Microsystems

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

A 5G future

Mastering Kubernetes with Dynatrace

Why log monitoring and log analytics matter in a hyperscale world

Mastering Kubernetes with Dynatrace

What Is a Workload in Cloud Computing

Netflix Cloud Packaging in the Terabyte Era

Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

Proposal for a Realtime Carbon Footprint Standard

Failure Modes and Continuous Resilience

Failure Modes and Continuous Resilience

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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