Dynatrace

NOVEMBER 23, 2020

Such analysis must provide actionable answers with anomaly root-cause detection and automated remediation actions based on collected data. Cloud provider/infrastructure layer. Depending on the deployment model you’re using, problems can occur in the infrastructure of your cloud provider or in your on-premise environment.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

Brendan Gregg

MAY 1, 2022

I'm thrilled to be joining Intel to work on the performance of everything, apps to metal, with a focus on cloud computing. My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware.

Wireless 52

Wireless Hardware Open Source Cloud 52

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

Efficiency 261

Efficiency Architecture Energy Monitoring 261

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 236

Analytics Infrastructure AWS Operating System 236

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.

Cloud 239

Cloud Media Storage Cache 239

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 204

Analytics Monitoring Artificial Intelligence DevOps 204

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 53

Wireless Serverless IoT Artificial Intelligence 53

All Things Distributed

FEBRUARY 18, 2013

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Introducing AWS OpsWorks, a Powerful Application Management Solution. As with all the AWS Application Management services AWS OpsWorks is provided at no additional charge. AWS OpsWorks Unique Features.

AWS 153

AWS Cloud Architecture Infrastructure 153

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 134

Analytics Infrastructure AWS Operating System 134

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. Alejandra Olvera-Novack?—?AWS

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. Alejandra Olvera-Novack?—?AWS

Open Source 40

Open Source AWS Lambda Serverless 40

Dynatrace

MAY 17, 2023

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application.

Metrics 167

Metrics Monitoring Database Network 167

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. Customers have been asking to add file system functionality to our set of solutions as much of their traditional software required a broad accessible shared file system.

Lambda 119

Lambda Cloud IoT AWS 119

Dynatrace

NOVEMBER 22, 2022

Five-nines availability has long been the goal of site reliability engineers (SREs) to provide system availability that is “always on.” But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. But is five nines availability attainable?

Infrastructure 178

Infrastructure Availability Systems Retail 178

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 52

Energy Metrics Cloud Operating System 52

Dynatrace

OCTOBER 17, 2019

Everything as Code can be described as a methodology or practice which consists of extending the idea of how applications are treated as code and applying these concepts to all other IT components like operating systems, network configurations, and pipelines. “Everything as Code” methodology in Dynatrace.

Code 108

Code Infrastructure DevOps Cloud 108

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. VMs require their own operating system and take up additional resources. Serverless platforms. Service mesh.

Architecture 195

Architecture Serverless Azure Programming 195

Dynatrace

JUNE 1, 2021

Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Infrastructure 148

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Adrian Cockcroft

JANUARY 20, 2023

Custom HPC optimized CPUs and GPUs will become the mainstream in the next few years, with chiplets based on the ARM and RISC-V pattern libraries and tooling, with competition between cloud providers, startups and the large systems vendors. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

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 52

Latency Engineering Systems Hardware 52

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 53

Latency Engineering Systems Hardware 53

High Scalability

NOVEMBER 25, 2019

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. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52