Davis AI helps ensure all data in the Dynatrace platform is reliable and accurate for business analytics, smart cloud orchestration, and reliable automation<\/p>\n
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Ain Alalam – Rashad Iskandrni
\nDynatrace (NYSE: DT), the leader in unified observability and security, today announced new AI-powered data observability capabilities for its analytics and automation platform. With Dynatrace\u00ae\ufe0f Data Observability, teams can confidently rely on all observability, security, and business events data in Dynatrace to fuel the platform\u2019s Davis\u00ae\ufe0f AI engine to help eliminate false positives and deliver trustworthy business analytics and reliable automations.
\nDynatrace Data Observability enables business analytics, data science, DevOps, SRE, security, and other teams to help ensure all data in the Dynatrace\u00ae\ufe0f platform is high quality. This complements the platform\u2019s existing data cleansing and enrichment capabilities provided by Dynatrace OneAgent\uf0d2 to help ensure high quality for data collected via other external sources, including open source standards, such as OpenTelemetry, and custom instrumentation, such as logs and Dynatrace APIs. It enables teams to track the freshness, volume, distribution, schema, lineage, and availability of these externally sourced data, thereby reducing or eliminating the need for additional data cleansing tools.
\n\u201cDynatrace, with its OneAgent technology, provides us with a high level of confidence that the data powering our analytics and automation is healthy. The platform is also very flexible, which enables us to tap into custom data sources and open standards, like OpenTelemetry,\u201d said Kulvir Gahunia, Director, Site Reliability Office at TELUS. \u201cNew Dynatrace data observability capabilities will help ensure the data from these custom sources is also high-quality fuel for our analytics and automation. This will save us from having to cleanse the data manually and reduce the need for additional data cleansing tools.\u201d
\nHigh-quality data is critical for organizations that rely on it to inform business and product strategies, optimize and automate processes, and drive continuous improvements. However, the scale and complexity of data from modern cloud ecosystems, combined with the increased use of open source solutions, open APIs, and other customized instrumentation, make it hard to achieve this goal.
\nBy adopting data observability techniques, organizations can improve data availability, reliability, and quality throughout the data lifecycle, from ingestion to analytics and automation. According to Gartner\u00ae\ufe0f, \u201cby 2026, 30% of enterprises implementing distributed data architectures will have adopted data observability techniques to improve visibility over the state of their data landscape, up from less than 5% in 2023. \u201d
\nDynatrace Data Observability works with other core Dynatrace\u00ae\ufe0f platform technologies, including Davis hypermodal AI combining predictive, causal, and generative AI capabilities, to provide data-driven teams with the following benefits:
\n\u2022 Freshness: Helps ensure the data used for analytics and automation is up-to-date and timely and alerts to any issues\u2014for example, out-of-stock inventory, changes in product pricing, and timestamp anomalies.
\n\u2022 Volume: Monitors for unexpected increases, decreases, or gaps in data\u2014for example, the number of reported customers using a particular service\u2014which can indicate undetected issues.
\n\u2022 Distribution: Monitors for patterns, deviations, or outliers from the expected way data values are spread in a dataset, which can signal issues in data collection or processing.
\n\u2022 Schema: Tracks data structure and alerts on unexpected changes, such as new or deleted fields, to prevent unexpected outcomes like broken reports and dashboards.
\n\u2022 Lineage: Delivers precise root-cause detail into the origins of data and what services it will impact downstream, helping teams proactively identify and resolve data issues before they impact users or customers.
\n\u2022 Availability: Leverages the Dynatrace platform\u2019s infrastructure observability capabilities to observe digital services\u2019 usage of servers, networking, and storage, alerting on abnormalities such as downtime and latency, to provide a steady flow of data from these sources for healthy analytics and automation.
\n\u201cData quality and reliability are vital for organizations to perform, innovate, and comply with industry regulations,\u201d said Bernd Greifeneder, CTO at Dynatrace. \u201cA valuable analytics solution must detect issues in the data that fuels analytics and automation as early as possible. Dynatrace OneAgent has always helped ensure that the data it collects is of the highest quality. By adding data observability capabilities to our unified and open platform, we’re enabling our customers to harness the power of data from more sources for more analytics and automation possibilities while maintaining the health of their data, without any extra tools.\u201d
\nDynatrace Data Observability is expected to be generally available for all Dynatrace SaaS customers within 90 days of this announcement. Visit the Dynatrace Data Observability blog for more information.
\nAbout Dynatrace
\nDynatrace (NYSE: DT) exists to make the world\u2019s software work perfectly. Our unified platform combines broad and deep observability and continuous runtime application security with Davis\u00ae\ufe0f hypermodal AI to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That\u2019s why the world\u2019s largest organizations trust the Dynatrace\u00ae\ufe0f platform to accelerate digital transformation.
\nCurious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.
\nCautionary Language Concerning Forward-Looking Statements
\nThis press release includes certain \u201cforward-looking statements\u201d within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the capabilities of Data Observability, the expected benefits to organizations from using Data Observability, and the timing for when Data Observability is expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as \u201cwill,\u201d \u201cexpects,\u201d \u201canticipates,\u201d \u201cintends,\u201d \u201cplans,\u201d \u201cbelieves,\u201d \u201cseeks,\u201d \u201cestimates,\u201d and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption \u201cRisk Factors\u201d in our Quarterly Report on Form 10-Q filed on November 2, 2023, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.<\/p>\n[\/mhc_text][\/mhc_column][mhc_column type=”2_3″][mhc_image admin_label=”\u0635\u0648\u0631\u0629” show_in_lightbox=”off” url_new_window=”off” animation=”right” hoverfx=”none” sticky=”off” image_mask=”off” border_radius=”0″ align=”right” force_center_on_mobile=”on” src=”https:\/\/ainalalam.com\/wp-content\/uploads\/2024\/02\/WhatsApp-Image-2024-02-12-at-1.27.42-PM.jpeg”] [\/mhc_image][\/mhc_column][\/mhc_row][\/mhc_section]\n","protected":false},"excerpt":{"rendered":"
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