Today, Dynatrace offers a comprehensive collection of solutions to help IT operations teams maintain high quality applications and services. These tools include Dynatrace Application Monitoring for modern applications like Java or .NET, Data Center RUM which leverages the network to understand more traditional applications and Dynatrace Synthetic Monitoring which helps customers understand the availability of their services.
IT Operations teams are using a variety of Dynatrace tools, often in combination with other vendor tools, to effectively monitor and manage their IT infrastructures. The challenge is, however, how can you leverage all these powerful tools as a cohesive unit?
Several leading organizations have chosen to use Moogsoft, in part, to de-duplicate and correlate alerts from across their Dynatrace toolsets, along with other monitoring tools, to gain full situational awareness of their applications, network and infrastructure.
Dynatrace is very sophisticated in the way it can automatically detect errors and exceptions across your production stack. However, if a threshold is breached repeatedly for a period of time do you really need to see each of those alerts?
Moogsoft is able to ingest events and alerts from all of your Dynatrace tools and automatically reduce the noise, through methods like de-duplication and blacklisting, all in real-time. Moogsoft consistently reduces noise by 99% in customer environments. Some have attributed this capability alone to a 10x increase in operator productivity!
By leveraging cutting edge machine-learning algorithms, Moogsoft is able to perform correlation of events, errors, faults, exceptions, and alerts from across your production stack and automatically identify true anomalies and complex relationships from within massive datasets. Moogsoft clusters alerts based on inferred relationships so that operations teams can view incidents as they unfold in real-time.
This enables a transformational shift in your organization, from reactive to proactive incident management, ultimately allowing you to avoid customer impact from IT incidents. By looking at related alerts from separate Dynatrace tools within context of each other, you can now see the complete picture and easy determine where the root cause lies.
When a Situation (cluster of anomalous + related alerts) begins to form, Moogsoft automatically creates a Situation Room (collaborative virtual ‘war room’) and invites all appropriate stakeholders to join. Within the Situation Room, all participants gain consistent access to full Situation context. This includes all alerts clustered in the Situation, a discussion thread, a Situation Timeline, Knowledge base of similar Situations from the past, and much more.
Furthermore, users have the ability to drill into their Dynatrace tools (and other third party tools) while maintaining Situation context (e.g. time and hostname). Moogsoft provides a full production workbench to run all of your tools in the context of a Situation, automating the drill-down and troubleshooting process for the user. This saves a huge amount of time and helps to accelerate the remediation and resolution process.
To get more information about how Moogsoft and how we work with Dynatrace, reach out to us at email@example.com
As the Product Marketing Manager at Moogsoft, Sahil Khanna is responsible for generating product collateral, messaging, competitive intelligence and developing strategic partnerships. He is particularly interested in machine learning and its role in IT transformation. Prior to working at Moogsoft, Sahil held Product Marketing positions at Alpine Data Labs and Pivotal Software.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands, including 72 of the Fortune 100, trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
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