Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. MongoDB Replication Strategies.

Azure 187

Azure AWS Latency Database 187

Scalegrid

JANUARY 12, 2024

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. This applies to both virtual machines and container-based deployments. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

JANUARY 11, 2022

It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API. We will also see research on smaller models that offer better performance, like Google’s RETRO. The safest predictions are all around AI. But they’re solving the wrong problem.

Logistics 121

Logistics Social Media Virtualization Strategy 121

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

AUGUST 24, 2020

Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace VMware and virtualization documentation . And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace.

Analytics 245

Analytics Infrastructure AWS Operating System 245

Dynatrace

JANUARY 13, 2021

For instance, Zurich Insurance Company, applied this approach through Azure DevOps. An Azure Logic App takes this information and drives an approval workflow that triggers an Azure DevOps pipeline, which uses the application parameters to configure the Dynatrace environment using Monaco.

Open Source 140

Open Source Code Monitoring Azure 140

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

AUGUST 24, 2020

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace VMware and virtualization documentation . And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started As businesses grow and demand fluctuates, infrastructure needs to adapt.

Open Source 52

Open Source DevOps AWS Infrastructure 52

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Terraform's declarative nature makes this adaptation straightforward.‍Consider an example where a company is running multiple virtual machines (VMs) on a cloud provider.

Open Source 40

Open Source DevOps AWS Infrastructure 40

SQL Server According to Bob

DECEMBER 18, 2018

Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The “forced flush” changes in SQL Server avoid flushes, when possible, in order to improve performance on non-optimized Fua file systems. Performance points of reference: The following charts highlight the increase in performance.

Servers 90

Servers Media Cache Storage 90

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. It encompasses private clouds, the IaaS cloud—also host to virtual private clouds (VPC)—and the PaaS and SaaS clouds. Amazon and AWS Ascendant.

Cloud 141

Cloud Serverless AWS Architecture 141

O'Reilly

NOVEMBER 28, 2023

While the source code and weights for the LLaMA models are available online, the LLaMA models don’t yet have a public API backed by Meta—although there appear to be several APIs developed by third parties, and both Google Cloud and Microsoft Azure offer Llama 2 as a service. Model degradation is a different concern.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111