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.

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

16. InfluxData Approach

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

22. InfluxData Customers

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