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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. Microsoft Azure is a registered trademark of the Microsoft group of companies. group of companies.
Now, organizations are evolving their cloud strategy to include hybrid, multi-cloud, which enables cloud-native application development and deployment. As organizations shift to hybrid cloud environments, there are two platforms really dominating the market and Microsoft Azure is the fastest growing with adoption rates skyrocketing.
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.
Microsoft Azure is a major cloud computing platform that provides a comprehensive set of services for developing, deploying, and managing applications and infrastructure. Effective logging and monitoring are critical for ensuring the performance, security, and cost-effectiveness of your Azure cloud services.
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.
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.
Membership in MISA is nomination-only and reserved for independent software vendors who develop security solutions that effectively integrate with MISA-qualifying Microsoft Security products. That’s why we’re proud to announce that Dynatrace has joined the Microsoft Intelligent Security Association (MISA).
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? Why monitor Azure Linux container host for AKS? Resource utilization management.
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
Infrastructure as Code on Azure - ARM. These days, most developers are familiar with the concept of having our applications’ and systems’ infrastructure defined in descriptive and version-controlled code which generates the same environment, every time it’s applied.
This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Azure Managed Instance for Apache Cassandra vs Azure Cosmos DB Cassandra API. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. Seeing the value.
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. Legal regulations. Obligations to end users.
When customers utilize the services of a specific cloud provider, such as Microsoft Azure, users within the organization eventually become experts in working with, administering, and managing the cloud resources of that provider. To establish the necessary monitoring, the observability team typically must be granted new setup permissions.
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?
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.
While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Additional infrastructure metrics.
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. A typical Azure Monitor deployment, and the views associated with each business goal. Available as an agent installer). How does Dynatrace fit in?
Effective application development requires speed and specificity. Applications must work as intended and make their way through development pipelines as quickly as possible. FaaS enables enterprises to deliver on the evolving expectations of fast and furious app development. But what is FaaS? How does function as a service work?
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.
In the past few years, there has been a growing number of organizations and developers joining the Docker journey. Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. But, it can be quite confusing how to run a container on the cloud.
At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.
This blog post explains how Dynatrace simplifies log ingestion, whether youre onboarding logs from your infrastructure using OneAgent, cloud services using log forwarding, or driving open-source standardization leveraging OpenTelemetry (OTel), Fluent Bit, or any other API-based ingestion methods. You can add additional logs at any time.
More specifically, I’ll demonstrate how in just a few steps, you can add Dynatrace information events to your Azure DevOps release pipelines for things like deployments, performance tests, or configuration changes. Microsoft DevOps Azure is one of the best CI/CD systems and a strategic technical Dynatrace partner.
Organizations are increasingly embracing cloud- and AI-native strategies, requiring a more automated and intelligent approach to their observability and development practices. The Infrastructure & Operations app provides an up-to-date and comprehensive view of monitored environments on Google Cloud.
Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. Instead, enterprises manage individual containers on virtual machines (VMs).
When considering a new cloud provider, the big names come to mind - AWS, Azure, and Google Cloud. If you’re a developer, you might even be considering a dev-friendly cloud like DigitalOcean or Linode. Oracle Cloud Infrastructure (OCI) is a cloud computing […].
It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.
AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure , DigitalOcean. Are you a startup that has free AWS or Azure hosting credits you’d like to use for your database hosting? Do you want to deploy in an AWS VPC or Azure VNET?
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.
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. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.
Kubernetes simplifies the operation and development of distributed applications by streamlining the deployment of containerized workloads and distributing them over a set of nodes. But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes.
These databases are a natural fit for the developer market that has gravitated towards DigitalOcean since its launch just nine years ago in 2011. The open source model is not only popular with the developer market, but also enterprise companies looking to modernize their infrastructure and reduce spend.
Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.
Digital workers are now demanding IT support to be more proactive,” is a quote from last year’s Gartner Survey Understandably, a higher number of log sources and exponentially more log lines would overwhelm any DevOps, SRE, or Software Developer working with traditional log monitoring solutions.
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. 3 End-to-end distributed trace including Azure Functions. New to Dynatrace? Visit our?
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. billion in 2020 to $4.1 What is log monitoring?
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.
Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.
As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.
Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.
Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Code development also benefits from a serverless approach. Application developers can spin up isolated test environments that pose no risk to current operations. Difficult to test.
Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. Importantly, Kubernetes also enables developers to build, deliver, and update microservices-based applications flexibly, reliably, and quickly. More about Kubernetes. Get your free eBook now!
Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Development and demand for AI tools come with a growing concern about their environmental cost.
AIOps and observability for infrastructure management. Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. IT automation speeds code development.
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