Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

AWS 234

AWS Lambda Artificial Intelligence Serverless 234

Dynatrace

JANUARY 26, 2021

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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 207

Architecture Serverless Azure Programming 207

DZone

JUNE 20, 2023

Considering that the big three cloud vendors (AWS, GCP, and Microsoft Azure) all now offer their own flavor of managed Kubernetes services, it is easy to see how it has become ever more prolific in the “cloud-native architecture” space. Like all cloud-native technologies, Kubernetes can be a challenge to test locally.

Testing 276

Testing Azure AWS Cloud 276

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 138

Azure Serverless IoT Lambda 138

Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more.

AWS 215

AWS Artificial Intelligence Cloud Analytics 215

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 143

Serverless Azure Monitoring Lambda 143

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. What will the new architecture be?

Cloud 218

Cloud Artificial Intelligence Performance AWS 218

Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 195

Storage AWS Azure Architecture 195

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 188

Infrastructure Cloud Azure AWS 188

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news. New to Dynatrace?

Serverless 194

Serverless Azure Lambda AWS 194

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

DZone

SEPTEMBER 21, 2023

In today’s rapidly evolving technological landscape, organizations are increasingly embracing cloud-native architectures and leveraging the power of Kubernetes for application deployment and management. And then, we will set up the end-to-end service communication on multi-cloud Kubernetes clusters on AWS and Azure.

Azure 202

Azure Games AWS Cloud 202

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more. But what does that look like? What is hyperscale?

Azure 263

Azure Cloud Google AWS 263

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” Fact #1: AWS EC2 outage properly documented. Fact #1: AWS EC2 outage properly documented. Ready to learn more? Then read on!

AWS 196

AWS Traffic Architecture Azure 196

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. Limited visibility.

Development 257

Development Serverless Best Practices Lambda 257

Dynatrace

MARCH 8, 2022

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 188

Code Software Software Serverless 188

Dynatrace

APRIL 30, 2019

Bamboo, Azure DevOps, AWS CodePipeline …. You can also checkout an open source web microservice app and an Azure function app that utilize the Keptn Pitometer Node.js Beyond basic metrics: Detecting Architectural Regressions. Use this to detect any architectural regressions introduced through code or config changes.

Architecture 126

Architecture Open Source Azure Metrics 126

Dynatrace

MAY 19, 2021

New logs support for Kubernetes – new integration with Fluentd enables Dynatrace to automatically capture log and event streams from Kubernetes and multicloud platforms, including AWS , GCP , Microsoft Azure , and Red Hat OpenShift. This will provide teams insights from extended log streams for enriched root-cause analysis.

Innovation 240

Innovation Azure Infrastructure Cloud 240

Dynatrace

JULY 15, 2024

You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email.

Infrastructure 225

Infrastructure Network Azure Monitoring 225

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Suboptimal architecture design. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Unnecessary data transfer. On-demand payment agreement.

Best Practices 239

Best Practices Strategy Cloud AWS 239

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

OCTOBER 2, 2024

DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. Davis AI automatically correlates Amazon AWS EC2 and business backend logs.

Analytics 242

Analytics AWS DevOps Cloud 242

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. MaaSS for Cloud Architects: Deployment and Architecture Validations. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. NGINX as an API Gateway.

AWS 128

AWS Monitoring Ecommerce Lambda 128

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 216

Analytics Monitoring Artificial Intelligence DevOps 216

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 347

Open Source Java Operating System Programming 347

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. Amazon Web Services (AWS). Automated DevOps throughout AWS hybrid-cloud environments. Microsoft Azure. Open source, cross-platform automation tool for resource provisioning.

DevOps 198

DevOps Engineering Testing Open Source 198

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 232

Cloud Serverless Hardware Operating System 232

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. So yes, we will have real physical locations.

Cloud 202

Cloud Hardware Testing Logistics 202

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Data management.

Artificial Intelligence 216

Artificial Intelligence Storage Analytics Government 216

Dynatrace

OCTOBER 2, 2024

This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app. With Dynatrace, there is no need to think about schema and indexes, re-hydration, or hot/cold storage concepts.

Azure 181

Azure DevOps Infrastructure Cloud 181

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. As a result, teams are in dire need of end-to-end observability that can accommodate disparate formats and custom APIs with the context needed to take meaningful action.

Open Source 200

Open Source Google Serverless Azure 200

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. ski explains.

Cloud 174

Cloud Lambda Serverless AWS 174

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 160

Analytics Technology Technology Cloud 160

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. Architectural complexity. Reduced latency. Difficult to monitor.

Serverless 170

Serverless Infrastructure Lambda Latency 170