In this webinar, Navdeep Sidhu, Head of Product Marketing at InfluxData, will review why you should use a Time Series Database (TSDB) for your important times series data and not one of the traditional datastore you may have used in the past. Join us to learn why you should consider implementing a new monitoring strategy as you upgrade your application architecture.

1. Navdeep Sidhu, Head of Product Marketing
InfluxData
3 Reasons to Pick a Time-Series Platform
for Monitoring DevOps-driven
ContainerizedApps

2. Adopting DevOps, Docker, Kubernetes?
Low Code, IoT, Process Driven, Microservices Apps
All modern application architectures
have one thing in common
THE NEED FOR BETTER MONITORING

3. You will need to Monitor
• DevOps Toolchain(s)
• Containerized Applications
• Containers
• Kubernetes Clusters (nodes, pods etc.)

4. Why Better Monitoring?
UPTIME
COMPLEXITY
High uptime requires sub-second visibility into architecture
Ecosystem of microservices requires cross-domain
visibility
SCALE Legacy systems cannot handle volume of metrics generated

5. Emergence of Time-Series Platforms
for Advanced Monitoring

6. New Workloads of Metrics and Events
Instrumentation of the Virtual World
Consolidating of Metrics/Events Data
Explosion of Connected Things

7. What makes
Metrics and
Events
unique?
❑ All time-stamped data
❑ Generated in regular and irregular periods
❑ Huge volumes of data

8. What makes
Time Series
different?
❑ Ingest of large volumes of Metrics/Second
❑ Real-time queries on large data sets
❑ Rapid Eviction and Transformation
of Data
❑ Down sampling of high precision data
❑ Storage optimization and compression

9. The New Architectural Approach
SQL Search Big Data Time Series
Metrics and
Events
Volume and
variety
Logs and
web pages
Orders and
Order Lines

10. What is InfluxData?
We deliver:
The Modern Engine
for Metrics and Events
(Time Series Data)

11. © 2018 InfluxData. All rights reserved.11
InfluxData Platform

12. © 2018 InfluxData. All rights reserved.12
InfluxDB can monitor Kubernetes, Docker and the Apps
BENEFITS
- Deploy Telegraf as a Daemonset
for the node and as a sidecar for
the pods
- Get consistent metrics out of
Telegraf for the nodes and the
pods
- Implement push style metrics for
the whole cluster
Node
Pod 1
Sidecar -Telegraf
Pod 2
Sidecar -Telegraf
DaemonSet -Telegraf
Telegraf is deployed as a DaemonSet on the node
and as a sidecar on the pod(s)
Master
DaemonSet -Telegraf
Use InfluxDB to monitor the K8s cluster (Master, Nodes
and Pods) to gain
- Consistency in metrics
- Long Term storage and HA
- Enable ‘push’ style metrics

13. © 2018 InfluxData. All rights reserved.13
InfluxDB can co-exist in Prometheus Ecosystems
BENEFITS
- Build on your investment in
Prometheus
- Telegraf scrapes Prometheus
endpoints
- Get full functionality of
Telegraf
- Use Prometheus style metrics
when required
Node
Pod 1 Pod 2
DaemonSet -Telegraf
Telegraf is deployed as a DaemonSet on each pod
and all the nodes
Node
Pod 1 Pod 2
PrometheusPrometheus
Complement your Prometheus investment with InfluxDB to
gain
- Long Term storage and HA
- Add ‘push’ style metrics to Prometheus’s ‘pull’ style
Sidecar -Telegraf Sidecar -Telegraf Sidecar -Telegraf Sidecar -Telegraf
DaemonSet -Telegraf

14. © 2018 InfluxData. All rights reserved.14
I have Prometheus, why do I need InfluxDB?
Monitor
both
K8S and
non-K8s
Clustering,
& High
Availability
(HA)
Security
&
Alerting
Metrics
(Pull)
&
Events
(Push) Preserve
Investment
in
Prometheus
Prometheus is embedded in K8s, but often it is not
enough for today’s modern monitoring needs
Do you need?

15. © 2018 InfluxData. All rights reserved.15
Achieve FULL STACK MONITORING with InfluxDB
Driving K8s with InfluxData
Helm Charts
Deploy Telegrafcan as a DaemonSet to start
monitoring nodes, pods and containers.
Service Operator
Operators simplify deployment and backup of
InfluxDB OSS using familiar kubectl
commands.
Hashicorp Terraform module(s)
InfluxDB Enterprise Terraform Module for AWS
is available now.
Documentation Landing Page
In a nutshell..
If you want a single platform
for metrics and events in your
company, then Prometheus
will not deliver it.
InfluxData works with both
K8s and non-K8s sources to
deliver full stack monitoring.

16. About InfluxData

17. 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

18. Rapidly Expanding Open Source Community
InfluxDB Monthly Growth
InfluxDBAnnounced Nov 2013
15,506
~188,000 databases in use today

19. Time Series and InfluxData
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

20. Customers: Instrumentation Drives Situational Awareness
“Better business insights correlating business process SLAs and system metrics”
“Meeting business uptime SLAs by enabling self-healing and self-scaling systems”
“Achieving business results by matching product usage and customer expectations”
“Moving from reactive to proactive customer support”
“Revenue assurance during Cyber 5 Holiday Weekend”

21. InfluxData Platform

22. Platform Strategy:
Be The Platform of Choice for All Metrics and Event Workloads
Common Metrics
and Events
Platform
Application,
Custom Logs &
Traces
Business
Metrics
Infrastructure
& Application
Metrics
IoT
Sensor
Events

23. InfluxData Platform Features
INSTRUMENT OBSERVE
AUTOMATE LEARN
✓ Quickly ingest data from
everywhere
✓ Efficiently store (Compress) the
data at scale
✓ Support real-time query,
analysis and visualization of
large data sets
✓ Provide time-based functions
for “change over time” analysis
and control
✓ Provide automation and control
functions
✓ Evict and down-sample data
✓ Facilitate machine learning and
anomaly detection algorithms
✓ Provide streaming analytics for
data in motion
METRICS
EVENTS

24. InfluxData Products and Offerings

25. Core Focus:
Developers and
Builders
• Developer Happiness
• Time to Awesome
• Ease of Scale-Out & Deployment

26. InfluxData Traction

27. Some of our customers
Infrastructure/
Application/
Business Process
Monitoring
45%
IoT Monitoring 35%
Real-Time
Analytics
20%

28. “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

29. 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.

30. 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

31. InfluxCloud is the de facto
backend for the AnyPoint
solution — replacing AWS
Cloudwatch
to collect & store 40+ key
metrics so our users can
monitor, secure and govern all
aspects of the Anypoint
Platform.”Andrew Bragdon,
AnyPoint Product Manager, MuleSoft

32. Hulu’s migration to AWS
provoked the re-evaluation of
their existing Graphite solution.
With a need to collect 2 million
metrics/sec, they chose
InfluxEnterprise with Kapacitor
for it’s performance, cost
effectiveness and ability to alert
in near real-time.

33. 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 ~188,000 unique active deployments, 450+ customers
InfluxData Summary

34. Visit Our website InfluxData.com for more information and customer case studies
Download InfluxDB - Stable 1.X line and/or the new 2.0.0 Alpha from website or Github
Try #1 Time Series Platform – OSS, Enterprise or Cloud options
Reach Out Forums (community.influxdata.com), Github, or Contact Us
Next Steps

35. Thank You