Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Was ist angesagt?
Was ist angesagt? (20)
Ähnlich wie Customer case - Dynatrace Monitoring Redefined
Ähnlich wie Customer case - Dynatrace Monitoring Redefined (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Customer case - Dynatrace Monitoring Redefined
- 1. confidential Dynatrace’s Monitoring Redefined In Action Enterprise meets Dynatrace 3rd Generation APM Every User Everywhere AI Powered Fully Automated Full Stack BizDevOps Insights
- 2. confidential Customer’s vision & goal Goal = monitor infrastructure + apps + users across 15,500 app/web servers in 5 months our customers a service impact
- 3. confidential Understand User & Business Impact Know Performance Issues Prioritise Resolutions Siloed tooling & data Faster Troubleshoot Customer’s challenges See how Applications Interact End-to-End Visibility & Control Labour Intense & Manual Processes • 76% of high severity issues were identified by customers (only 24% detected by previous monitoring tools) • High severity issues would result in 50+ people on a “war room “ bridge • Multiple tools used by different silos – long recovery times from issues and no proactiveness
- 4. confidential User Experience Application Services & processes Platform IaaS Physical Real-time application topology discovery Anomaly detection Business impact analysis Problem and root-cause analysis BizDevOps insights & analytics Automation & Orchestration Collaboration & Workflow Big data analytics API integrations Requirements
- 5. Better data makes Dynatrace artificial intelligence and automation possible Mobile Application Code Database Network Container Micro-service Browser SyntheticServer Mainframe Log & Events API Cloud high fidelity, full stack data All transactions, all the time Connected end-to-end PurePath + Smartscape Real-time dependency detectionAuto instrumentation Automated workflows Automated problem detection Automated root cause analysis Causation gives answers Automation Automate the effort Natural language interface Automated business impact OneAgent/Singleproduct Advanced analytics Expert knowledge built-in Self learning A.I. Why ?
- 6. confidential 100x faster to implement Max coverage, lowest cost ROI and TCO validated by customer Faster implementation Lower resources overhead Reduced MTTR Fewer tools • Single agent implementation • Full stack, continuous auto-discovery • Auto-baselining and dependency mapping 1/10th of the people Easiest & lowest TCO • AI-based problem identification • Automated root cause analysis • Pre-configured dashboards, easy agile customization 20x faster MTTR Optimal UX • Single root cause identified for fast remediation • Understand business impact – focus on what matters • Auto-remediation with accuracy & confidence All-in-one, Nothing like it • End-to-end: all users, all apps, all digital channels • Full-stack: all data, all layers, all technologies • One complete source of truth, vs a “suite” of disparate data sets 1/10th the TCO of other solutions Scalability 100x scale Grow w/out barriers • Horizontally scaling cluster architecture • Scales beyond 100,000 hosts • Only solution with true high availability for web-scale
- 7. Goal = monitor infrastructure + apps + users across 15,500 app/web servers in 5 months First install = 1,870 web/app servers instrumented in 6 hours 3 months in = deployed across top 21 most critical apps and 9,361 web/app servers Rollout status Rollout goal was achieved within the 5 months given!
- 8. Auto detection & root-cause analysis (in plain English)
- 10. Auto Data Center Topology View
- 11. 500+ engineers in R&D makes it all possible 66% more than nearest competitor # of customer reported incidents is now negligible 33% faster revenue realization Test cycle times reduced by 4x Constantly innovating 7 years a leader in Gartner #1 market share leader OpenShift Primed Partner AWS Advanced Technology Partner Technology partner Docker Certified Azure Partner OpenStack Certified 3x more market shares than others MQ leaders Realistic results
Hinweis der Redaktion
- (they literally called out that we “redefined monitoring” in the way Dynatrace works) they were ready to have more meetings and sessions with us.
- Let’s dig into artificial intelligence more deeply so that we don’t confuse the buzz word with what Dynatrace actually delivers today. It’s important to understand the foundational underpinnings of Dynatrace AI and it starts with the fact that Dynatrace captures all transactions –all users – all the time // as well as all of the associated full-stack analytics. // This in turn provides the type of 100% high-fidelity data necessary to enable real-time dependency detection and ultimately…self-learning Artificial Intelligence. // This approach to artificial intelligence leads to true Problem Detection at the root cause, not just more robust incident detection. Meaning that Dynatrace will automatically point to the likely cause of a problem and eliminate the alert storm that is typically the result of the many minor incidents that are contributing to the problem but not the problem itself. And all of this is fully automated and can be accessed via dashboards, natural language interfaces like Alexa and Siri or you can hook it up to Slack and leverage bi-directional instant messaging. No other monitoring tool can achieve this. Their data is spotty with snapshots, sampling and it’s not truly full stack. With spotty data, A.I. algorithms are useless. Without A.I., everything must be done with human operators. This does not scale.
- Use this slide to demonstrate that deployments with Dynatrace are different. They are fast – fully automated. Ultra-low TCO.
- We have thousands of customers around the world that trust us and for as long as the Gartner APM magic quadrant has existed, Dynatrace has been a Leader in that quadrant…a fact that no other company can claim. Now let’s look at some relevant examples of how Dynatrace can support your specific use cases…