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As a strategic ISV partner, Dynatrace and Azure are continuously and collaboratively innovating, focusing on a strong build-with motion dedicated to bringing innovative solutions to market to deliver better customer value. Read on to learn more about how Dynatrace and Microsoft leverage AI to transform modern cloud strategies.
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.
The new assessment demonstrates that Australian government agencies and highly regulated enterprises, such as utilities, healthcare, and financial services providers, can deploy Dynatrace on Microsoft Azure. Deliver high-quality, cloud-native applications to accelerate innovation. group of companies.
Dynatrace, available as an Azure-native service , has a longstanding partnership with Microsoft, deeply rooted in a strong “build with” approach to deliver seamless user experience. This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation.
Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft.
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.
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.
After meeting the necessary requirements, we are excited to announce that the Dynatrace AI-powered platform as a SaaS on Microsoft Azure is now available in Switzerland. This represents the first observability solution available to Microsoft customers as a Switzerland-based SaaS deployment.
Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. What is Azure Linux? Today, it’s a generally available container host for AKS and AKS-HCI.
Dynatrace has enhanced its partnership with Microsoft Azure, providing users a quick and easy path to purchasing, configuring, and managing Dynatrace directly inside the Microsoft Azure Portal. Dynatrace is excited to announce this enhancement is now in public preview for any Azure customer to evaluate. Dynatrace news.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.
Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year. The power of Dynatrace unified observability on Google Cloud By the end of June, the latest Dynatrace core innovations will be available on Google Cloud, including the following: Dynatrace Grail.
Beyond its high availability, Kubernetes supports hybrid-infrastructure, allowing these teams to run their workloads on different Kubernetes environments across a variety of clouds and on-premises infrastructure. The post Accelerating innovation with Kubernetes and Dynatrace appeared first on Dynatrace blog. More about Kubernetes.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.
Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Available as an agent installer). A typical Azure Monitor deployment, and the views associated with each business goal.
Cloud platform metrics (AWS, Azure, Kubernetes, etc.). The following table summarizes the semantics of all available event severities (which severity types trigger a problem and which severities are analyzed by Davis). Availability. Built-in OneAgent service metrics (request duration, errors, resource consumption, etc.).
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.
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. Manual troubleshooting is painful, hurts the business, and slows down innovation.
To help our customers confidently navigate the complexities of the cloud and innovate faster and more securely, the Dynatrace platform must be delivered reliably. Availability guarantee of 99.95%/month for customers with an active Enterprise Success and Support subscription.
That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As
More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Google Cloud Platform (GCP) Anthos : Users can run applications on-premises, in GCP, or with other major public cloud providers like AWS and Microsoft Azure. Dynatrace news.
Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. Enterprises that fail to adapt to these innovations face extinction.
This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.
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. Highest availability and security out-of-the-box.
Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles.
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Accelerated innovation. An efficient, automated log monitoring and analytics solution can free teams up to focus on innovation that drives better business outcomes.
In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. On-demand payment is the most expensive pricing option.
Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? You’ll discover how to integrate Dynatrace into a configuration change (e.g.
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. Google Cloud Functions is a serverless compute service for creating and launching microservices. GCF is part of the Google Cloud Platform.
An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. These organizational improvements open the door to further innovation and digital transformation. How do you make a system observable?
VAPO is available in both Microsoft Azure and AWS. Dynatrace artificial intelligence (AI) -powered root cause analysis brings real-time insights and actionable answers to fix issues, automating operations so the VAPO team can focus on innovation. “We “It’s an enterprise product that we use to help modernize the VA,” Fuqua said.
But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” Development teams can innovate faster with higher quality.
You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. They have become the requisite tools needed to help companies overcome the cloud complexity wall and accelerate application performance and innovation.
Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors. But first, some background. Why containers?
We believe this recognition is a testament to the company’s drive to constantly innovate and be the best in all that we do. And we believe this recognition is because of our ability to notice those disruptive changes on the horizon and innovate with a disruptive solution. A dinner in Linz changed the course of the company, forever.
The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource. 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.
But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Through Dynatrace, we’ve started giving our partners availability reports,” Schirrmacher explained.
We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. . “We need to scale faster with shorter deployment times. ” Three years ago, Tractor Supply Co.
Dynatrace Synthetic is a monitoring solution you can use to check the availability and performance of your web applications under clean-room conditions. During Perform Barcelona 2019, which, by the way, was a blast, many of you approached us in the Innovation Center asking about new locations for Dynatrace Synthetic. Dynatrace news.
Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Progressive delivery Next up, Adam Gardner, staff engineer at Dynatrace, talked about using observability for faster innovation in production to enhance new releases.
If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. IBM Rational Performance Tester and IBM Rational Performance Tester on Cloud (including no charge Starter Edition) appear to be available. Well, yes and no. I am not so upbeat as I was in 2014. Open Source.
The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI?
Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.
And, as we at Dynatrace have innovated through our CNCF project Keptn and just brought answer-driven release validation to our Dynatrace Cloud Automation solution it was easy to pick a new name for our new tour: “Cloud Automation Workshop Tour”. Hands-on 2: Codify your SLOs.
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