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Break data silos and add context for faster, more strategic decisions : Unifying metrics, logs, traces, and user behavior within a single platform enables real-time decisions rooted in full context, not guesswork. Such an approach is in line with my personal mantra and Dynatrace founding principle: reduce to the max.
Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. Dynatrace delivers AI-powered, data-driven insights and intelligent automation for cloud-native technologies including Azure.
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We’re proud to announce that Ally Financial has presented Dynatrace with its Ally Technology Velocity with Quality award. This is the second time Ally Financial has presented its Ally Technology Partner Awards. Ally Financial is the home of the nation’s largest all-digital bank and is an industry-leading auto financing business.
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Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments. It also helps to have access to OpenTelemetry, a collection of tools for examining applications that export metrics, logs, and traces for analysis.
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already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment. Extensions 2.0
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These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. If you’re going to have an SLO, you should have a story in mind of why you’re setting up all these alerts and collecting all these metrics.
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I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.
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It collects, processes, and outputs log files to and from a wide variety of technologies. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. So, let’s compare the two approaches for ingesting logs.
In January and February, we spoke with a couple of the top influencers in government technology, including Jamie Holcombe , Chief Information Officer at the United State Patent and Trademark Office [USPTO]; and Dimitris Perdikou , Head of Engineering at the UK Home Office, Migration and Borders.
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The Carbon Impact app directly supports our customers sustainability efforts through granular real-time emissions reporting and analytics, translating host utilization metrics into their CO2 equivalent (CO2e). We implemented a wasted energy metric in the app to enhance practitioner actionability.
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The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data.
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Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.
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Now, with technology-specific views, DevOps teams can see messaging system-related anomalies, which significantly simplifies troubleshooting efforts. With other products, we had to make guesses about the impacted services based solely on metrics”. Easily troubleshoot anomalies with technology-specific views. This is great!
Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). Fully integrated with existing Dynatrace capabilities for AWS Lambda, including metric ingestion via AWS Cloud Watch. You can easily find Lambda functions on this page by filtering for Technology: AWS Lambda.
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