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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?
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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution.
Azure Automation provides an extremely powerful set of tools for automating operations within enterprises on hybrid cloud. You can now simplify cloud operations with automated observability into the performance of your Azurecloud platform services in context with the performance of your applications.
Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azurecloud resources in just one click.
Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. Now, organizations are evolving their cloud strategy to include hybrid, multi-cloud, which enables cloud-native application development and deployment. What is Azure?
When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable.
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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.
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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. Now, Dynatrace is available in Microsoft’s Switzerland North Azure region. However, for some, moving to a SaaS solution implies giving up control of certain aspects.
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The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.
Identity management and monitoring across customers and cloud provider accounts have become increasingly complex, making it harder to enforce performance and security policies. Dynatrace can also be deployed and operated with ease in large environments, ensuring the efficiency of teams. Learn more at azure.com/lighthouse.
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Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. AWS re:Invent 2021: Modernizing for cloud-native environments.
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Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We
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