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

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

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.

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

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?

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises.

Analytics 236

Analytics Infrastructure AWS Operating System 236

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

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Dynatrace news. What is OpenShift?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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. OneAgent and its Operator . Get deep Kubernetes observability with cloud application view . Observing your application.

Analytics 134

Analytics Infrastructure AWS Operating System 134

All Things Distributed

APRIL 9, 2015

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

JULY 8, 2020

Kubernetes has taken over the container management world and beyond , to become what some say the operating system or the new Linux of the cloud. I n the meantime, not only is the Kubernetes platform hot, but it’s also a platform that is hard and non-trivial to deploy (Day 1) and manage (Day 2 ops).

Infrastructure 195

Infrastructure Monitoring Cloud Metrics 195

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

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 80

Open Source Database Storage Scalability 80

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

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

Abhishek Tiwari

SEPTEMBER 10, 2017

As we are dealing with Docker images, I assume you have downloaded and installed Docker for your operating system. You will require VirtualBox (or a similar VM driver such as xhyve driver or VMware Fusion depending on your operating system) which enables Minikube to run a single-node Kubernetes cluster inside a VM.

Development 49

Development Operating System Virtualization Code 49

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. PostgreSQL is an open source object-relational database system with over 30 years of active development. Cloud Deployments. pg_repack – reorganizes tables online to reclaim storage. SolarisUnix.

Open Source 244

Open Source Tuning C++ Database 244

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA. Final words.

Architecture 12

Architecture Hardware Cache Storage 12

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. 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