DZone

AUGUST 23, 2023

As organizations migrate their workloads to the cloud, robust monitoring and management tools are paramount to ensure optimal performance, security, and efficiency. AMA is a lightweight yet potent agent that plays a crucial role in collecting and transmitting telemetry data from various resources within the Azure ecosystem.

Azure 223

Azure Monitoring Virtualization Infrastructure 223

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 246

Azure Monitoring Virtualization Metrics 246

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 235

Azure Cloud Tuning Monitoring 235

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems.

Azure 252

Azure AWS DevOps Cloud 252

Dynatrace

MARCH 5, 2025

The certification focuses on accuracy and transparency in calculating greenhouse gas (GHG) emissions for AWS, Azure, GCP, and on-premises host instances. CPU calculations apply these assumptions: A virtual CPU (vCPU) on any cloud host equals one thread of a physical CPU core, with two threads per core. Public network traffic uses 1.0

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 264

Cloud Artificial Intelligence Performance AWS 264

Dynatrace

OCTOBER 3, 2024

Dynatrace support for AWS Data Firehose includes AWS Lambda logs, Amazon Virtual Private Cloud (VPC) flow logs, Amazon S3 logs, and Amazon CloudWatch. Dynatrace is essential for unlocking that gold mine of data, allowing you to enhance application performance, deliver better experiences, and optimize operational efficiency.

Cloud 299

Cloud Lambda AWS Analytics 299

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Instead, enterprises manage individual containers on virtual machines (VMs). Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization.

Serverless 297

Serverless Azure Hardware Transportation 297

Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Microsoft Azure. DevOps engineer tools can help ease the pressure as environment complexity grows.

DevOps 246

DevOps Engineering Testing Open Source 246

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. For example, a virtual machine (VM) can replace containers to design and architect microservices. Serverless platforms. Service mesh.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. Operations teams can run more efficiently. However, shifting from reactive to proactive cloud operations helps organizations stay ahead of the game. .

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

MAY 31, 2021

Kubernetes (aka K8s) is an open-source platform used to run and manage containerized applications and services on clusters of physical or virtual machines across on-premises, public, private, and hybrid clouds. This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure.

Virtualization 182

Virtualization DevOps Infrastructure Cloud 182

Dynatrace

JULY 13, 2020

These packages, known as container images, are immutable and because they abstract the environment on which they run, they ’re portable and can be moved from one environment to another , regardless of what platform it’s running on, i.e. a physical or virtual machine, on-premise, data center , or in the public cloud. .

Google 173

Google DevOps Ecommerce Cloud 173

Tech News Gather

MAY 27, 2024

In the dynamic world of cloud computing, agility and efficiency in deploying applications are paramount. Azure Container Instances (ACI) represents a breakthrough in cloud technology, offering a streamlined and cost-effective solution for running containers on Microsoft Azure. What is Azure Container Instances?

Azure 52

Azure Best Practices Virtualization Scalability 52

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. 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.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Particular Software

AUGUST 18, 2020

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. Rather than pay for an entire virtual machine, you only pay for compute while your code is being executed. NServiceBus makes Azure Functions even better. We think they go together like milk and cookies.

Azure 52

Azure Serverless Programming Transportation 52

Dynatrace

JULY 13, 2020

These packages, known as container images, are immutable and because they abstract the environment on which they run, they ’re portable and can be moved from one environment to another , regardless of what platform it’s running on, i.e. a physical or virtual machine, on-premise, data center , or in the public cloud. .

Google 130

Google DevOps Ecommerce Cloud 130

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.

Cloud 144

Cloud Serverless AWS DevOps 144

Particular Software

APRIL 26, 2021

NServiceBus support for Microsoft Azure Functions, previously available as a preview package, is turning the big 1.0 Over the past nine months, we’ve been offering NServiceBus support for Microsoft Azure Functions as a Preview. I was surprised by the simplicity of hosting an NServiceBus endpoint in an Azure Function.

Azure 52

Azure Transportation Serverless Cloud 52

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

MARCH 8, 2020

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. joins) during query processing. Workload characteristics.

Storage 112

Storage Engineering Cache Serverless 112

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. These technologies can answer questions, provide customer support, or even complete transactions.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JUNE 1, 2021

Virtual desktop infrastructure (VDI) monitoring to maximize the productivity of employees using VDI. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

KeyCDN

MARCH 14, 2019

It can be used to decouple your frontend from your backend and improve server efficiency. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Also, now that virtual reality is relatively cheap to produce and access, expect more things like road-testing apps from vehicle manufactures.

Development 101

Development Blockchain Serverless Social Media 101

O'Reilly

JUNE 18, 2024

We’re planning a live virtual event later this year, and we want to hear from you. Providing online access to better, more reliable agricultural information quickly and efficiently was an obvious goal. Are you using a powerful AI technology that seems like everyone ought to be using? One of the biggest constraints is location.

Social Media 125

Social Media Open Source Government Azure 125

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 103

Performance Latency Cache Virtualization 103

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Randon ASCII

JULY 11, 2022

I’d been testing on a virtual machine in a data center that I had access to, purely because this machine has an internet connection that runs at over 2 Gbps. As their own documentation says: Queued spin locks are a variant of spin locks that are more efficient for high contention locks on multiprocessor machines. Case closed.

Cache 105

Cache Energy Google Processing 105

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

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

ScaleOut Software

JULY 19, 2021

Since big data analyses can take minutes or hours to run, they are typically used to look for big trends, like the fuel efficiency and on-time delivery rate of a trucking fleet, instead of emerging issues that need immediate attention. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Big Data Analytics Architecture 78