This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. OneAgent and its Operator . Dynatrace supports full-stack monitoring from the application to the operatingsystem layer using OneAgent. Further reading about Business Analytics : .
Docker containers can share an underlying operatingsystem kernel, resulting in a lighter weight, speedier way to build, maintain, and port application services. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operatingsystem.
Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . OneAgent and its Operator . Dynatrace supports full-stack monitoring from the application to the operatingsystem layer using OneAgent. Digital Business Analytics.
Think of containers as the packaging for microservices that separate the content from its environment – the underlying operatingsystem and infrastructure. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service.
Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. metrics/query?metricSelector=builtin:apps.other.apdex.osAndVersion:merge(App
If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?
Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.
The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.
Even a conflict with the operatingsystem or the specific device being used to access the app can degrade an application’s performance. With the scale, diverse functionality, and dynamic nature of cloud platforms such as AWS, Azure, and GCP, APM solutions need to just work without configuration or model training.
Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operatingsystems. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities. What is meant by the workload in computers?
With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operatingsystems.
Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operatingsystem or other specific system configurations. Monitoring & Analytics. Nomad is another container orchestration platform.
Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operatingsystem or other specific system configurations. Monitoring & Analytics. Nomad is another container orchestration platform.
This section features terminals, multiplexers, console emulators, mobile terminals, and command-line workspaces that you can use to replace the default terminal app on your system. You can customize it to display information from sources like Google Analytics, GitHub, Feedly, shell command output, and more. Large preview ).
This effort resulted in: · Changes to the SQL Server Engine · Changes to the SQL Server Linux Host Extension · Validation with the Windows Storage team · Validation with Windows Hyper-V team · Validation with Windows Azure Storage team · Conversations with Red Hat, HP, SUSE and Intel · Changes in the Linux file system.
Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content