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The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. These reports are crucial for tracking changes, compliance, and security-relevant events.
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. The following figure shows the benefits of Azure Native Dynatrace Service.
As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Each of these services addresses specific use cases, offering diverse functionalities to meet the demands of modern applications. What Is Load Balancing?
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.
Even so, logs are normally available in cloud consoles, though effective analysis can’t be performed using logs alone. Ideally, all the data needed for a specific analysis is available in a single place: all relevant logs are already set in context with related telemetry. How to get started with Log Monitoring for Azure.
Dynatrace is thrilled to announce the General Availability of support for both the 2.x 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. Optimize timing hotspots.
So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. High Availability Deployment. Self-Managed MySQL.
Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. It includes metrics, dashboards, alerts, events, logs, and cross-environment traces.
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?
While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. Dynatrace Managed now available on the Google Cloud Platform. What’s next?
Cloud providers, such as AWS, Azure, and GCP, help to automate the process of upscaling or downscaling compute power by providing autoscaling groups. As the expected behavior of spot instances is that they are shut down within 5 minutes of their creation, the traditional strategy of availability alerting isn’t viable.
Dynatrace is thrilled to announce the General Availability of support for both the 2.x 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. Optimize timing hotspots.
With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .
In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.
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. Any log event (JSON or plain text) via HTTP REST API. Dynatrace news.
With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Dynatrace Synthetic Monitoring ensures that your application is available and performs well from anywhere in the world to meet your SLAs. Virginia (Azure), N.
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. In addition, Davis provides automatic alerting of service-to-service communication problems using queues and other event systems.
If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. General Availability (Build 1.239.178).
Removed seven-day preview from create/edit custom event for alerting pages. These pages are now available to be used in security policies: Settings > Anomaly detection > Applications. Settings > Anomaly detection > Extension events. Settings > Anomaly detection > Custom events for alerting.
Since becoming General Availability in the fall of 2019 , GitHub Actions has helped teams automate continuous integration and continuous delivery (CI/CD) workflows for code builds, tests, and deployments. The latest version detected can be influenced by environment variables, Kubernetes labels, and events ingestion.
Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? In our previous blog post, Managing High Availability in PostgreSQL – Part I , we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by ClusterLabs. repmgr also supports event notifications.
In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.
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. Every time the trigger executes, the function runs on an available resource. Serverless vendors make resources available exactly when you need them.
Logs represent event data in plain-text, structured or binary format. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises.
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. Using an interactive no/low code editor, you can create workflows or configure them as code.
Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.
Calculated service/DEM metrics (revenue numbers, conversions, event counts, etc.). Cloud platform metrics (AWS, Azure, Kubernetes, etc.). By default, to raise an event, any three minutes out of a sliding window of five minutes must violate your baseline-based threshold. Availability. Custom log metrics. Problem raised?
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.
Whether it’s cloud applications, infrastructure, or even security events, this capability accelerates time to value by surfacing logs that provide the crucial context of what occurred just before an error line was logged.
With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.
As teams and their structure and metadata are often maintained in a dedicated database, such as Microsoft Entra ID (formerly Azure Active Directory) or ServiceNow. Keeping ownership teams and their properties up to date is essential, as is having the right contact information available when needed. Contact us to schedule a demo.
Premium High Availability and Mainframe monitoring on IBM z/OS licenses are now displayed on the Licensing page. Displaying availability on the Synthetic monitors page. Resolved issue in Session Replay when the button in the event list to replay a JS error was always disabled. Dynatrace news. Cluster Management Console.
An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors. Event logs for ad-hoc analysis and auditing.
Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. Increased availability.
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. Today, everyone in the industry is “all-in” on Kubernetes – and for good reason. What’s Next.
The new Dynatrace Kubernetes experience provides a 10,000-foot view of all Kubernetes clusters, across all environments and distributions (from GCP, Azure, and AWS to OpenShift or on-premise solutions. What used to take a lot of valuable time, resources, and tools is now available in one central place.
Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. Intelligent monitoring is also crucial.
Dynatrace can monitor production environments for performance degradations and outage events that may cause customers to lose access. Integration with CI/CD pipelines: Teams can integrate SRG into existing delivery pipelines including Jenkins, Github, GitLab, AWS, or Azure pipelines.
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1
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. GCF pairs well with Google Cloud Build, which enables testing and other CI/CD tasks based on functions originating in GCF.
ScyllaDB’s low cost and high performance capabilities make it an attractive option to GCP users, especially since it is open source compared to Bigtable which is only commercially available on GCP. #3. Azure followed in third place representing 17.4% AWS vs. Azure vs. GCP Click To Tweet. The remaining 13.0%
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.
As a database tailored towards enterprise workloads, this provides the ability needed to explore large data sets along with the high performance achieved by paralleling the analytics across your available segment hosts. So who’s using Greenplum today?
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 3: Create a single workflow for unified event management.
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