Monitoring modern applications using Elastic
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Explore how Elastic can help you monitor and troubleshoot your applications in real time. Learn how to leverage the Elastic Stack to monitor multiple deployments and resolve challenges in your environment. After the session, you'll have access to a hands-on lab environment to practice these skills.
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Monitoring modern applications using Elastic
- 1. 1 Monitoring Modern Applications Using Elastic Melvyn Peignon Principal Architect, Education
- 2. 2 This presentation and the accompanying oral presentation contain forward-looking statements, including statements concerning plans for future offerings; the expected strength, performance or benefits of our offerings; and our future operations and expected performance. These forward-looking statements are subject to the safe harbor provisions under the Private Securities Litigation Reform Act of 1995. Our expectations and beliefs in light of currently available information regarding these matters may not materialize. Actual outcomes and results may differ materially from those contemplated by these forward-looking statements due to uncertainties, risks, and changes in circumstances, including, but not limited to those related to: the impact of the COVID-19 pandemic on our business and our customers and partners; our ability to continue to deliver and improve our offerings and successfully develop new offerings, including security-related product offerings and SaaS offerings; customer acceptance and purchase of our existing offerings and new offerings, including the expansion and adoption of our SaaS offerings; our ability to realize value from investments in the business, including R&D investments; our ability to maintain and expand our user and customer base; our international expansion strategy; our ability to successfully execute our go-to-market strategy and expand in our existing markets and into new markets, and our ability to forecast customer retention and expansion; and general market, political, economic and business conditions. Additional risks and uncertainties that could cause actual outcomes and results to differ materially are included in our filings with the Securities and Exchange Commission (the “SEC”), including our Annual Report on Form 10-K for the most recent fiscal year, our quarterly report on Form 10-Q for the most recent fiscal quarter, and any subsequent reports filed with the SEC. SEC filings are available on the Investor Relations section of Elastic’s website at ir.elastic.co and the SEC’s website at www.sec.gov. Any features or functions of services or products referenced in this presentation, or in any presentations, press releases or public statements, which are not currently available or not currently available as a general availability release, may not be delivered on time or at all. The development, release, and timing of any features or functionality described for our products remains at our sole discretion. Customers who purchase our products and services should make the purchase decisions based upon services and product features and functions that are currently available. All statements are made only as of the date of the presentation, and Elastic assumes no obligation to, and does not currently intend to, update any forward-looking statements or statements relating to features or functions of services or products, except as required by law. Forward-Looking Statements
- 3. Agenda Introduction Elastic: A Search Company Introduction to Observability Observability with Elastic The Hipster Shop 1 2 3 4 5
- 4. Introduction Elastic: A Search Company Introduction to Observability Observability with Elastic The Hipster Shop 1 2 3 4 5
- 5. Whatever you do, search is a constant
- 7. 3 solutions Elastic Enterprise Search Elastic SecurityElastic Observability
- 8. Elastic Enterprise Search Workplace Search App Search Site Search
- 9. Elastic Observability Logs Metrics APM Uptime
- 11. 3 solutions powered by 1 stack Kibana Elasticsearch Beats Logstash Elastic Stack Elastic Enterprise Search Elastic SecurityElastic Observability
- 12. The Elastic Stack Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.
- 13. Elasticsearch: The Heart of the Stack Distributed, RESTful search and analytics engine capable of solving almost any data challenge. Numbers, text, geo, structured, unstructured. All data types are welcome. ● Developer friendly ● Versatile storage ● Query & aggregations ● Scalable ● Real-time ● Highly available
- 14. Kibana: The Window to the Stack Visualize Monitor Search Manage
- 15. And There is More... Maps Dashboards Canvas Lens
- 16. Deploy anywhere. SaaS Orchestration Elastic Cloud on Kubernetes Elastic Cloud Elastic Cloud Enterprise Elastic Enterprise Search Elastic SecurityElastic Observability Kibana Elasticsearch Beats Logstash Powered by the stack 3 solutions Deployed anywhere
- 17. Deploy anywhere. SaaS Orchestration Elastic Cloud Elastic Cloud on Kubernetes Elastic Cloud Enterprise
- 18. Introduction Elastic: A Search Company Introduction to Observability Observability with Elastic The Hipster Shop 1 2 3 4 5
- 19. Observability • Not a technology… Observability is an attribute of a system – Like high availability, stability and usability, SLA compliance • Detect and Debug – Errors – Service downtime – Slow responses • Centralized, granular view of information – Application traces – Event logs – Resource information
- 20. Observability... … is a Search Use Case • Fewer higher-level well defined meaningful metrics based on correlated data that indicates the health of the ecosystem • Automated anomaly detection for real-time discovery and alerting on important events • Ability to transition from high level to deep dive and correlate relevant data at speed and scale to effectively answer the “what” and “why”
- 21. The Three Pillars of Observability Observability Logs Metrics APM
- 22. Elastic Observability Elastic Logs Elastic Metrics Elastic APM The Three Pillars of Observability
- 23. Extra Pillars of Observability • Machine Learning – Collection alone is not enough – ML detects anomalies in observability data – Triggers alerts to make these actionable • Uptime Monitoring – Provides indicators of service availability – ML detects anomalies in observability data – Triggers alerts to make these actionable
- 24. From a Siloed Collection of Tools... Web Logs App Logs Database Logs Container Logs Container Metrics Host Metrics Database Metics Network Metrics Storage Metrics Uptime Response Time Real User Monitoring Txn Perf Monitoring Distributed Tracing
- 25. From a Siloed Collection of Tools... Web Logs App Logs Database Logs Container Logs Container Metrics Host Metrics Database Metics Network Metrics Storage Metrics Uptime Response Time Real User Monitoring Txn Perf Monitoring Distributed Tracing Development Team Ops: Monitoring Team Ops: Monitoring Team Ops: Logging Team APM Tool Uptime Tool Metrics Tool Logs Tool
- 26. … to a Single Pane of Glass Web Logs App Logs / Database Logs Container Logs PaaS Component Logs Container Metrics Component Metrics Host & Network Metrics Database & Storage Metrics Uptime Response Time Real User Monitoring Txn Perf Monitoring Distributed Tracing Elasticsearch Kibana
- 27. … to a Single Pane of Glass Dev & Ops Team APM Data Uptime Data Metrics Data Logs Data Web Logs App Logs / Database Logs Container Logs PaaS Component Logs Container Metrics Component Metrics Host & Network Metrics Database & Storage Metrics Uptime Response Time Real User Monitoring Txn Perf Monitoring Distributed Tracing Kibana Elasticsearch
- 28. Introduction Elastic: A Search Company Introduction to Observability Observability with Elastic The Hipster Shop 1 2 3 4 5
- 29. Key Features for Observability • Ingest – Rich ecosystem of connectors – Extensible framework to process data – Developer friendly APIs • Exploration – Turnkey Solution UIs – Out of the box Dashboards – Live Presentations • Analytics – Anomaly detection – Trending and Forecasting – Flexible Alerting Tools
- 30. Ingest
- 31. More and More Integrations... • The Elastic Stack comes with a lot of modules to easily ingest data • Agents can easily be deployed to collect, metrics, logs and security related data • The agent ships data using Elastic Common Schema allowing for a better analysis • Elastic Fleet allows for a better management of the different agents
- 32. Ingesting Data Applications Web apps, servers, APIs, logs4j ,... Containers & Cloud Docker, K8, AWS, Azure, ... Networking Netflow, PCAP, HTTP, TCP, UDP, TLS, ... Messaging & Alerting Slack, Nagios, email, ... IoT Sensors, robots, connected cars Platform Infrastructure Windows, Linux, proxies, ... Data Store & Streams DB, Kafka, Spark, Hive, ... Raw Documents PDF, XLS, PPT, ... Build Your Own The Elastic Stack Logs Metrics Documents Messages Scripts Alerts Tickets Ingest Integrations
- 34. Ingesting Data using Agents
- 35. • Many languages are supported: Java, GO, Node, Python, Ruby and more on the way • Real User Monitoring RUM To monitor user interaction with clients likes browsers • Just another index All the data are stored in Elasticsearch for an easy correlation with the other observability data Ingesting APM Data
- 36. Exploration
- 37. Out of the Box Dashboards
- 38. • Compact log viewer optimized for live log event troubleshooting • Console-like display • Live log streaming (like tail -f) • Infinite scroll for historical logs • Ad hoc and structured search • Highlighting Logs
- 39. • Bird eye view of the monitored infrastructure • Ability to group the infrastructure based on criteria like geo localisation, type of infrastructure monitored etc... • Create visualizations out of the collected metrics Infrastructure metrics
- 40. • View of all the transactions happening in the many different applications • Transactions duration over time • Requests per minutes over time • A service map to see all the instrumented services in your applications APM
- 41. • Track the availability of key systems • Check response codes, text content, and headers • Verify TCP services availability and correctness • Check API availability and correctness Uptime
- 42. Analytics
- 43. • Automated anomaly detection • Continuous (online) model • Forecasting • Population outliers • Classification Machine Learning
- 44. • Highly available • Notifications can be send via email, Slack, PagerDuty to a webhook • Integrate with the stack, machine learning, monitoring and reports generation Alerting
- 45. Introduction Elastic: A Search Company Introduction to Observability Observability with Elastic The Hipster Shop 1 2 3 4 5
- 47. • Every eCommerce business rely mostly on its ability to sell to thrive • The business success of Hipster is directly connected to the experience and quality of their digital store. The revenue is directly impacted by the quality of the store • The IT team is accountable to the eCommerce business unit – To avoid customer impacting issues – Resolving these issues • Hipster needs an Observability solution, and they are using Elastic An Ecommerce Business
- 48. An Ecommerce Business The Hipster Shop
- 50. Demo
- 51. What's Next 1 2 3 Hands-on labs Watch for lab instructions sent via an email from Elastic Training Start free Build your skills with free on-demand training elastic.co/training/free Go deeper Prepare for certification with the Observability Engineer training elastic.co/training
- 52. 52 Thank You!