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My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).
We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.
This is where observability analytics can help. What is observability analytics? Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights.
Agentless RUM, OpenKit, and Metric ingest to the rescue! Side note: it’s called “agentless,” because no OneAgent is running on the server that hosts the HTML, CSS, and JavaScript files. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions.
As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.
The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.
The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.
Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. New to Dynatrace? Start your free trial!
Dynatrace unified analytics capabilities for observability are top-of-the-class ( Gartner Magic Quadrant 2024 ), enabling you to query and analyze all your observability data across your enterprise. That way, you can compare multiple charts more easily, regardless of the metric or time span.
To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos.
When using Dynatrace, in addition to automatic log collection, you gain full infrastructure context and access to powerful, advanced log analytics tools such as the Logs, Notebooks, and Dashboards apps. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail.
Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Click on Select metric. Change it now to sum.
As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Selecting one automatically fills out all fields.
In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data.
That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough. In addition to tracing, observability also defines two other key concepts, metrics and logs. What is OpenTelemetry?
Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. These events are promptly relayed from the client side to our servers, entering a centralized event processing queue.
Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. This allows Kafka clusters to handle high-throughput workloads efficiently.
Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.
Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?
Easily track the health and performance of database servers with AI support. To simplify database monitoring and improve cross-team collaboration, Dynatrace released new extensions to leading databases, including Oracle and Microsoft SQL Server. Enrich database performance KPIs with business analytics.
These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. All you need to do is create five custom metrics – one per continent. The multi-dimensional analytics in the screenshot below is an example.
Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.
Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. Learn more.
To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Conclusion.
As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. ActiveGate acts as a secure proxy and compresses and routes observability signals in an optimized manner to Dynatrace servers.
Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Multiple Prometheus servers might be required, creating significant maintenance efforts. Dynatrace news.
address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0
I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?
Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.
framework , the SNMP extensions are a bundle of everything that’s needed (DataSource configuration, a dashboard template, a unified analysis page template, topology definition, entity extraction rules, relevant metric definitions and more) to get going with monitoring. Virtual servers. Pool nodes. Interfaces.
With its ability to handle SSL offloading, distribute traffic across multiple servers, and provide security features like DDoS protection, application firewall, and SSL VPN, organizations of all sizes rely on F5 BIG-IP LTM to improve application performance, availability, and security. Example F5 overview dashboard.
Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. See observability in action!
Define monitoring goals and user experience metrics Next, define what aspects of a digital experience you want to monitor and improve — such as website performance, application responsiveness, or user engagement — and prioritize what to measure for each application. The time taken to complete the page load. Time to first byte. Time to render.
API manager monitoring from the application server perspective, which is what Dynatrace delivers with the WSO2 API Manager monitoring extension, can save you hours of bug hunting time. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. Get a holistic overview of your WSO2 API Manager metrics.
In February 2021, Dynatrace announced full support for Google’s Core Web Vitals metrics , which will help site owners as they start optimizing Core Web Vitals performance for SEO. On the Dynatrace Business Insights team, we have developed analytical views and an approach to help you get started. Dynatrace news. 28-day lookbacks.
Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. PC, smartphone, server) or virtual (virtual machines, cloud gateways). What is digital experience monitoring? Endpoints can be physical (i.e.,
ESG metrics are increasingly important to investors as they evaluate risk; in turn, these metrics are increasingly important to organizations because they measure and disclose their performance. Average cloud server idle time exceeds 70%. Balancing act or tipping point? What motivates us to act? And the time to act is now.
The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. SAP HANA server infrastructure monitored with OneAgent. The same SAP HANA server internals are monitored with PowerConnect.
This new capability further expands our OneAgent support for OpenTelemetry for Go as well as for OpenTracing for Java and enables the enrichment of OneAgent-collected observability data with additional context information coming from OpenTelemetry traces or metrics. The world service uses the custom web server? Nano HTTPD ?(instead
To effectively address such warning signs, organizations need to focus on putting observability data into context—mapping and visualizing relationships and dependencies within all collected telemetry data—not only traces, metrics, and logs. TCP Server. // Start TCP server. listener, _ := net.Listen("tcp", ":1234").
HANA maintains all the business and analytics data that your business runs on. Enable the Davis AI causation engine to automatically analyze every metric. No agent installation is required on your SAP server. Enable the Davis AI causation engine to automatically analyze every metric. Dynatrace news.
I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. If your browser supports the Paint Timing API you will see a couple of extra metrics: First Paint and First Contentful Paint. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story.
Content is placed on the network of servers in the Open Connect CDN as close to the end user as possible, improving the streaming experience for our customers and reducing costs for both Netflix and our Internet Service Provider (ISP) partners. CORE The CORE team uses Python in our alerting and statistical analytical work.
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