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Gain Deep Visibility into APIs and Integrations with Anypoint Monitoring

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MuleSoft & InfluxData
Anypoint Monitoring
From better visibility to business impact
Gagan Kanwar
Partnerships @ MuleSoft

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MuleSoft 101

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Financial Services and Insurance Retail and Consumer Goods High Tech
Healthcare Education and Public Sector Manufacturing
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Gain Deep Visibility into APIs and Integrations with Anypoint Monitoring

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On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.

On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.

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Gain Deep Visibility into APIs and Integrations with Anypoint Monitoring

  1. 1. MuleSoft & InfluxData Anypoint Monitoring From better visibility to business impact Gagan Kanwar Partnerships @ MuleSoft
  2. 2. MuleSoft 101
  3. 3. Financial Services and Insurance Retail and Consumer Goods High Tech Healthcare Education and Public Sector Manufacturing Trusted by 1,500+ customers across industries
  4. 4. TAKING AN API-LED APPROACH TO UNLOCK DATA FOR CUSTOMERS, EMPLOYEES AND PARTNERS “With MuleSoft, Airbus is completely rethinking how it builds applications. We are moving to composable building blocks, microservices and APIs. It's about developing faster and cheaper, and at scale.” - Chris Taylor, VP of Digital Accelerator 4 Delivering projects 4x faster • Built a library of reusable APIs which aggregate data from multiple backend systems allowing the team to develop 3 mobile apps in 2 months Millions of € in value delivered • Reusing APIs and core assets to save time and money; better adherence to compliance for cost avoidance Rapidly connecting legacy systems to cloud applications • Unlocking data from cloud and on-premise systems – including multiple SAP systems like SAP S/4 HANA and Skywise, a customer big data platform – to create mobile apps to streamline manufacturing processes
  5. 5. How customers actually use MuleSoft
  6. 6. Using APIs to drive simplicity & consistency
  7. 7. The API-Led Connectivity Approach Customers Web app API OrdersSalesforce customers SAP customers Inventory & ATP Oracle ERP AS400 Data Warehouse Order status Order history Mobile API System Process Process Experience
  8. 8. Enterprise systems have grown enormously complex A single web or mobile transaction crosses an average of 35 different systems or components Complexity introduces: 1. Gaps in observability 2. Increased time to identification 3. Increased time to resolution 4. Poor customer experience 5. Lost revenue, etc.
  9. 9. Solution Driver → Monitor the Application Network A largish customer looks like this: ● 2017 Total # of API Calls: 9 Billion ● Average # Transactions/Second: 275 ● Y/Y Transactions Growth Rate: ~ 30% ● Tracking to 12 Billion Transactions (2018) ● Very Large Customers → Stringent SLAs ● High Product Usage & Data Volumes ● High & Unpredictable Cardinality ● Compex Heterogeneous Environments ○ Public Cloud, Private Cloud & Gov Cloud ○ Hybrid ○ Completely On-Prem
  10. 10. What we wanted in a data infrastructure product/partner 1. Does it natively manage time-series data a. Core use case is Enterprise Monitoring → Highly Temporal 2. Can it deal with very high cardinality data sets a. API calls have well-defined formats b. But some fields (e.g. IP) can very quickly drive up cardinality 3. Does it supports cloud, hybrid and fully on-prem environments 4. Can we deploy in both Multi-Tenant & Single Tenant a. Business model optionality 5. Can we get to a very specific per-metric price range a. We are a public company - need to tightly manage COGS 6. Can we host the solution in our own AWS instance a. Data residency requirement, access controls, etc.
  11. 11. Decision parameters & process 1. Business Case (define business objectives, save or make money, target market, customer demand) 2. Product (does the product do what we need, will it fit in with our broader infrastructure) 3. Roadmap (thought leadership, are we going in the same direction e.g. GovCloud) 4. POC to validate scalability (address scale & latency needs, internal stakeholder alignment) 5. Competitive Evaluation (who else could do this, e.g. SignalFX, DataDog, CloudWatch) 6. Unit Economics & Deal Structure (meet COGS requirement, economic alignment, creative thinking) 7. The Team (technical chops, ongoing product support, exec alignment) 8. Customer References (will they deliver, is the service getting better, product downtime) 9. Legal (we planned to OEM, not just license - extra legal & commercial complexity) 10. Confidence (Strategic Deal - High Risk & High Reward)
  12. 12. Anypoint Monitoring 101 End-to-end actionable visibility for APIs and integrations: ● 360-degree functional APM (Application Performance Monitoring) ● Two Product Flavors: ○ Included (Multi-Tenant) ○ Premium (Single-Tenant) ● Log Management ● Integrated Visibility ● Advanced Alerting
  13. 13. Reducing MTTR
  14. 14. Reducing MTTR
  15. 15. Reducing MTTR
  16. 16. Reducing MTTR
  17. 17. Protecting PII and sensitive log data
  18. 18. Warehousing logs for auditing, compliance and security

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