5 Reasons DevOps Toolchain Needs Time-Series Based Monitoring
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Monolithic architectures are being replaced by microservices-driven apps and the cloud- based infrastructure is being tied together and instrumented by DevOps processes. This is driving the need for greater visibility and better monitoring. Legacy monitoring solutions fail to deliver the much needed sub-second visibility. Let’s take a look at Time-Series platforms and how they are delivering the level of visibility and monitoring needed by today’s DevOps initiatives. In this webinar, we will take a look at Time-Series Data Platforms and outline how InfluxData’s leading Time-Series data platform can deliver the next-gen monitoring for your DevOps projects.
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5 Reasons DevOps Toolchain Needs Time-Series Based Monitoring
- 1. Navdeep Sidhu, Head of Product Marketing InfluxData 5Reasons DevOps Toolchain Needs Time-Series Based Monitoring
- 2. Developing New Apps? Low Code, IoT, Process Driven, Microservices Apps All modern application architectures have one thing in common THE NEED FOR BETTER MONITORING
- 3. Why Better Monitoring? UPTIME COMPLEXITY High uptime requires sub-second visibility into architecture Ecosystem of microservices requires cross-domain visibility SCALING Automated scaling requires sub-second response time VOLUME Legacy systems cannot handle volume of metrics generated INSTRUMENTATION Complex DevOps toolchains require better instrumentation
- 4. Emergence of Time-Series Platforms for Advanced Monitoring
- 5. New Workloads of Metrics and Events Instrumentation of the Virtual World Consolidating of Metrics/Events Data Explosion of Connected Things
- 6. What makes Metrics and Events unique? q All time-stamped data q Generated in regular and irregular periods q Huge volumes of data
- 7. What makes Time Series different? q Ingest of large volumes of Metrics/Second q Real-time queries on large data sets q Rapid Eviction and Transformation of Data q Down sampling of high precision data q Storage optimization and compression
- 8. The New Architectural Approach SQL Search Big Data Time Series Metrics and Events Volume and variety Logs and web pages Orders and Order Lines
- 9. InfluxData’s TICK Stack for Advanced Monitoring
- 10. What is InfluxData? We deliver: The Modern Engine for Metrics and Events (Time Series Data)
- 11. Business Metrics Infrastructure Metrics IoT Metrics Platform Strategy: Be The Platform of Choice for All Metrics and Event Workloads Common Metrics and Events Platform Monitoring Tracing Machine Learning Analytics
- 12. About InfluxData
- 13. InfluxData’s Time Series platform for Monitoring Time Series fastest growing category InfluxData is the leading time-series database Trend of the Last 24 Months DB Engine Scores of the Last 24 Months Source: DB-Engines Source: DB-Engines
- 14. Rapidly Expanding Open Source Community Estimated InfluxDB Monthly Growth InfluxDB Announced Nov 2013 14,468 306 ~175,000 databases in use today
- 15. Tier One Customer Base
- 17. Core Focus: ü Easy to Use ü Open Source ü Easy to Deploy Developers and Builders
- 18. Business Metrics Infrastructure Metrics IoT Metrics Platform Strategy: Be The Platform of Choice for All Metrics and Event Workloads Common Metrics and Events Platform Monitoring Tracing Machine Learning Analytics
- 19. Decision Makers Systems IoT Visualize Notify Automate IoT & Sensors Systems Apps Message Queues Metrics & Events InfluxData Functional Architecture
- 20. InfluxData Products and Offerings InfluxData Platform Commercial Offerings Open Source Core PRODUCTION DEVELOPMENT ü Clustering ü Manageability ü Security Chronograf InfluxDB Kapacitor Telegraf Agent collecting and reporting Metrics and Events Complete Interface for the InfluxData Platform Purpose Built Time Series Database Real-time Streaming Data Processing Engine InfluxEnterprise InfluxCloud
- 21. The Market-Leading Time Series Platform Built specifically for metrics, events, and other time-based data Fastest Time to Awesome Take Action While it Matters Fast, Scalable, Available
- 23. Real-Time Analytics 20% Infrastructure/ Application/ Business Process Monitoring 45% IoT Monitoring 35% Some of our customers
- 24. “InfluxData was easy to implement and is now the primary data store to collect metrics and events for SAP Ariba operations. InfluxData provides the basis for all the visualizations and alerting that is critical to our business..” Christina Abraham, VP, Global Cloud Infrastructure & Operations at SAP Ariba
- 25. Monitoring of the systems and sensors across solar and battery installations providing greater visibility and insight into energy usage and maintenance.
- 26. Siemens sells wind and gas turbines to large corporations, and municipalities. They provide a monitoring as a service for these customers to monitor the health, usage and performance of the turbines. Siemens is using InfluxData as the key metric store of this SaaS platform, allowing customers to get their information via a REST API. This is all conducted in real-time via data streaming from each turbine to their cloud services.
- 27. Wayfair is using InfluxData to monitor system metrics and events. The goal is to marry these with business process events and provide better business insight and competitive advantage
- 28. In Summary Provides The Modern Engine for metrics and events (Time Series Data) Focus Developers and Builders Difference Purpose built, fastest time to awesome, real actions in real-time Traction >175,000 unique active deployments, 420+ customers
- 29. Thank You