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Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. As of October 2024, Dynatrace is available on Microsoft Azure Australia East region, enabling joint customers to maintain a local SaaS presence. The result?
Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. Dynatrace delivers AI-powered, data-driven insights and intelligent automation for cloud-native technologies including Azure.
In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels.
To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. How Azure digital transformation helps There are three ways that Microsoft Azure can help organizations do more with less when it comes to organizations’ digital transformation journeys.
Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Digital transformation 2.0
More than 95% of Fortune 500 companies use Microsoft Azure. Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack.
Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments. Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively.
Dynatrace has partnered with the Microsoft Azure App Service team to seamlessly integrate enhanced observability with Linux App Service using the powerful Sidecar Pattern for containerized computing. Together, we are shaping the future of technology and business. What is the Sidecar Pattern for observability? Effortless integration.
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.
This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. 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.
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?
Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud.
This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. 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.
During this process, OneAgent detects and links technologies , such as Java, Docker, or Microsoft IIS, for improved parsing and log analysis. Preconfigured log rules Dynatrace provides a set of prepared log ingestion rules, so you dont need to create custom configurations for common technologies and services.
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. Dynatrace news.
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.
Until now, customers running workloads in the Azure cloud could only define management zones using rules that address basic entities like hosts or process groups. Now we’re happy to announce that you can set conditions for defining management zones that are specific to Azure entities: Azure management group ID. Azure name.
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….
The certification focuses on accuracy and transparency in calculating greenhouse gas (GHG) emissions for AWS, Azure, GCP, and on-premises host instances. The certification results are now publicly available. If you’re doing one of these you’re amplifying the other.
Indeed, AI is revolutionizing our world, driving rapid innovation, and transforming how we engage with technology personally and professionally. To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies.
As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.
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.
In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. Have a look at the full range of supported technologies. New to Dynatrace? Visit our?
CaaS automates the processes of hosting, deploying, and managing container technologies. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. In this class of CaaS, cloud providers and hyperscalers offer minimal orchestration. Managed orchestration.
Dynatrace, operated from Tokyo, addresses the data residency needs of the Japanese market Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution in 19 worldwide regions on three hyperscalers (AWS, Azure, and GCP). Data residency in Japan is a must.
The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. Inefficiencies cost technology companies up to $100 billion per year. Dynatrace news.
While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js
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. Dynatrace news. Connecting data siloes requires daunting integration endeavors.
According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021.
Read this blog to understand and analyze the comparison between AWS Lambda vs Azure Functions vs Google Cloud Functions. The post AWS Lambda vs Azure Functions vs Google Cloud Functions: Comparing Serverless Providers appeared first on Insights on Latest Technologies - Simform Blog.
While digital transformation initiatives have obvious advantages for organizations, they also bring growing complexity to technology and digital services teams. Connect to JFrog Pipelines , Atlassian Bitbucket , GitLab , or Azure DevOps to automatically deploy applications into various stages, from staging and testing to production.
As major cloud providers (AWS, Azure, Google, and IBM) continue to drop the prices of cloud instances. The post AWS vs Azure vs Google Cloud: Pricing Comparison of Virtual Machines appeared first on Insights on Latest Technologies - Simform Blog.
This includes logs collected from your organization’s Hypervisors, Linux and Windows servers, cloud-native logs from Azure, AWS, GCP, or Oracle, alongside the networking signals from Cisco, Juniper, NetScaler, or F5 appliances—to name a few examples.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.
Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Accordingly, these platforms provide a unified, consistent DevOps and IT experience.
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.
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Teams can become leading experts on the technologies they develop.
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Teams can become leading experts on the technologies they develop.
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.
Added Azure Functions Consumption Plan tracing for.NET. Past Dynatrace OneAgent technology support changes. Dynatrace OneAgent 1.227 was the last version to support the following technologies. Dynatrace OneAgent 1.233 was the last version to support the following technologies. Added support for OpenTelemetry 0.0.9.
Modern IT organizations are generating more data from more tools and technologies than ever. 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.
The digital future that’s on the horizon is reliant on the power of the cloud and will require the best technology to match. 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?
In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions?
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