Navigating the Complexity of Distributed Microservices across AWS, Azure, and Google Cloud
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These research slides provide insights into the critical issues involved in handling application- and infrastructure-complexity in ever-changing hybrid multi-cloud settings. Torsten Volk, Managing Research Director at EMA, and Jasper Paul, a Principal Product Manager at ManageEngine Site24x7, explore: The Anatomy of Complexity: Understand and escape the complexity trap of distributed cloud native applications. Monitoring and Metrics: Examine approaches for effective monitoring of resource utilization and performance as key components of complexity management. AIOps: Examine the capabilities of AIOps. FinOps Strategies: Explore frameworks and best practices for efficiently managing your cloud's financial operations without compromising on performance, resilience, or security. Case Studies: Gain insights from real-world instances where companies have successfully mitigated the complexities and risks associated with distributed microservices architectures.
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Navigating the Complexity of Distributed Microservices across AWS, Azure, and Google Cloud
- 1. Navigating the Complexity of Distributed Microservices across AWS, Azure, and Google Cloud Torsten Volk Managing Research Director Enterprise Management Associates (EMA) Jasper Paul Principal Product Manager ManageEngine Site24x7
- 2. | @ema_research 2 Watch the On-Demand Webinar • Navigating the Complexity of Distributed Microservices across AWS, Azure, and Google Cloud On-Demand Webinar: https://info.enterprisemanagement.com/navigating-the-complexity- of-distributed-microservices-webinar-ws • Check out upcoming webinars from EMA here: https://www.enterprisemanagement.com/freeResearch © 2023 Enterprise Management Associates, Inc.
- 3. | @ema_research Featured Speakers With over 16 years of enterprise IT experience, Torsten helps end users and vendors leverage the opportunities presented by today's hybrid cloud and software-defined infrastructure environments in combination with advanced machine learning. He specializes in topics that lead the way from hybrid cloud and the SDDC toward a business-defined concept of enterprise IT. As a Principal Product Manager at ManageEngine Site24x7, Jasper is passionate about all things AIOps, observability, cloud infrastructure, and FinOps. Jasper's tech expertise seamlessly merges with his financial acumen to optimize IT operations. Be it IT or life, Jasper finds joy in solving unique challenges with a smile. © 2023 Enterprise Management Associates, Inc. 3 Torsten Volk Managing Research Director Enterprise Management Associates Jasper Paul Principal Product Manager ManageEngine Site24x7
- 4. Navigating the Complexity of Distributed Microservices across AWS, Azure, and Google Cloud
- 5. Unfiltered Complexity Same data as title page: 2,932 Posts from StackOverflow 25 out of 1040 problem categories Boxes sized by ‘number of searches’ Result: ‘Infinite’ combinations
- 6. Modern App Stacks Are Complex 12 Layers (pink) X 4-7 Components per layer (blue) X Multiple choices per component = Complexity And that’s just one microservice
- 7. Distributed Apps: App Stack X 25 1. 25 codebases instead of one 2. 25 stacks instead of one 3. 25 release schedules instead of one 4. API calls instead of direct function call
- 8. Distributed apps can drown you in data without much benefit
- 10. Example: Networking Telemetry Data from One Microservice Disjointed telemetry data from the networking layer Data points are not connected to application code or business processes And remember: There are 11 more layers
- 11. Data Driven Decision Making Needs Context Critical Context Factors - Who will be impacted? - What is the extent of the impact? - What is the cost? - How does all this affect key business metrics?
- 12. Connecting the Dots Between Technology and Business Is Key The impact of each factor has to be understood for an observability platform to be able to optimize performance, resiliency, cost, compliance, and security.
- 13. Real-time observability -Multi-brand global automotive distributor company -A $10-billion automotive distribution company. -Operates in over 40 markets and geographies.
- 15. 8 Ways of How AI Can Help Connecting the Dots Between Infrastructure, Application, and Business
- 17. Observability + FinOps Challenges -Long time to parse Cloud bills - Unable to identify cloud cost leakages - Difficult downloading Reports - Multi-currency support at Business Unit level Actions -BU visibility of cloud -Auto remediate with IT Automation with cloud monitoring -Right size recommendations -Integration with overall ecosystem
- 18. Key Takeaways Do not allow gaps in your telemetry data. Continuously scan for new but unmonitored devices and services. Always capture, analyze, and store data within its context. Leverage AI for automatic root-cause analysis and optimal decision making. Observability platforms need to deliver actionable insights instead of disconnected alerts and dashboards. Leverage FinOps to collaboratively optimize cost without sacrificing resiliency, compliance, performance or security.
- 19. Experience the full-stack observability platform with ManageEngine Site24x7 Visit site24x7.com