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 136

Azure Serverless IoT Lambda 136

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. Cost optimization.

Azure 184

Azure Monitoring Virtualization Metrics 184

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. Azure Logic Apps. Azure Container Instance.

Azure 153

Azure Cloud Tuning Monitoring 153

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Batch. Azure DB for MariaDB. Azure HDInsight.

Azure 146

Azure Cloud Big Data Virtualization 146

Dynatrace

OCTOBER 20, 2020

With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .

Azure 132

Azure Cloud Traffic Metrics 132

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Today, it’s great to think back to those times when reading through my old blog posts such as the “ Mid-Tour Backstage Report ” – thanks to every individual who attended!

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

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. The benefit is scalability.

Azure 170

Azure AWS DevOps Cloud 170

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Dynatrace news. The short way home.

Azure 103

Azure Monitoring Serverless Virtualization 103

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 247

Development Serverless Best Practices Lambda 247

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.

Architecture 196

Architecture Serverless Azure Programming 196

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Monitoring your i nfrastructure.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Cloud-native? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Cloud-native? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 130

Google Ecommerce DevOps Cloud 130

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. You haven’t detected that there’s a shortage of disk space on the virtualization host (or its shared storage).

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Dynatrace

MAY 31, 2021

According to the 2020 Cloud Native Computing Foundation (CNCF) survey , 92 percent of organizations are using containers in production, and 83 percent of these use Kubernetes as their preferred container management solution. This simplifies orchestration in cloud-native environments. Dynatrace news.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

JULY 10, 2019

OneAgent & cloud metrics. Virtualization can be a key player in your process’ performance, and Dynatrace has built-in integrations to bring metrics about the Cloud Infrastructure into your Dynatrace environment. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 136

Java Best Practices Metrics Azure 136

Dynatrace

NOVEMBER 12, 2021

While federal agencies are making significant headway moving IT workloads to multiple cloud service platforms, they continue to face a variety of challenges in gaining a complete picture of their total operating environment. You’re bringing more servers online in the cloud. What’s the root cause? Systems are very dynamic.

Cloud 169

Cloud Monitoring Network Azure 169

Dynatrace

JANUARY 13, 2021

Dynatrace MaaS is an integral part of adopting Autonomous Cloud Enablement best practices, where we look at automating everything with, and around, Dynatrace. Another use case already implemented by customers is automated application onboarding, delivering monitoring-as-a-service for private and public clouds.

Open Source 138

Open Source Code Monitoring Azure 138

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

APRIL 17, 2019

During our annual Perform event, CEO John Van Siclen explained how several years ago – whilst at a dinner in Linz – we saw the cloud coming, and that it would disrupt everything, meaning monitoring alone would no longer be enough. We’re spearheading the move to the cloud, the disruption, and we want you to continue with us on that journey.

Innovation 132

Innovation Virtualization Cloud Azure 132

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Virtual desktop infrastructure (VDI) monitoring to maximize the productivity of employees using VDI.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. 64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts.

Azure 145

Azure Social Media Programming AWS 145

Percona

APRIL 12, 2023

We’re equally convinced on both counts, but in this blog article, we’re focusing on why MongoDB is not open source. This blog article traces key developments that coincided with MongoDB’s move away from open source software, and it examines how SSPL influence might have lured others in the same direction.

Open Source 83

Open Source Programming Database Servers 83

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This is what this blog is all about. Its a detailed tutorial blog that explains how you can make the first steps towards SLI/SLO-based Quality Gates. For this blog I will be using the same Node.js

Engineering 189

Engineering Performance Metrics Best Practices 189

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

Adrian Cockcroft

NOVEMBER 13, 2023

I’ve linked to several papers and blog posts along the way. This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. For an example of an unintended consequence, let’s say the result of your optimization project is spare capacity at a cloud provider.

Energy 52

Energy Cloud Traffic Transportation 52

Testsigma

JUNE 23, 2021

Testsigma is a cloud-based test automation platform. Testsigma is completely cloud-based. You just have to sign up for a free trial account for test creation and execution and leverage its pre-configured setup integrated with Testsigma Lab (Testsigma’s cloud infrastructure). How Testsigma Helps Speed Up Software Release Cycles?

Speed 52

Speed Software Software DevOps 52

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling. Response Times.

Serverless 57

Serverless Monitoring Lambda Latency 57

Testsigma

JULY 31, 2021

But if you’re a startup or don’t have the budget for in-house infrastructure, we recommend going for a cloud-based testing tool. With a cloud-based testing tool, everything is virtual; you’ll save up a lot of costs. No additional setup or configuration is required. Sign up here.

Mobile 52

Mobile Software Software Testing 52

The Symphonia

DECEMBER 6, 2017

it’s increasingly becoming a core compute element within the larger Amazon cloud. Correspondingly, 3GB functions should see a 2x CPU performance improvement over 1.5GB Lambdas, but this is through doubling the number of cores the function has access to, rather than double the virtualized time-slices. Lambda@Edge Lambda@Edge?

Serverless 40

Serverless Lambda AWS Traffic 40

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108