How to Gain Visibility into Containers, VM’s and Multi-Cloud Environments Using Telegraf, InfluxDB and Mist

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The document discusses Mist.io's use of Telegraf and InfluxDB for infrastructure monitoring. Mist is an open source multi-cloud management platform that provides visibility into containers, VMs and multi-cloud environments. It collects metrics using Telegraf and stores them in InfluxDB for monitoring, alerting and cost optimization. The integration provides flexibility, a large ecosystem and helps Mist users gain insights into their infrastructure.

Telegraf and InﬂuxDB at Mist.io
Gain visibility into containers, VMs
and multi-cloud environments

Introductions
Chris Psaltis
CEO & co-founder at Mist.io
Email: cpsaltis@mist.io
Twitter: @cpsaltis
Dimitris Moraitis
CTO & co-founder at Mist.io
Email: dimo@mist.io
Twitter: @d1_mo

Agenda 1. What is Mist
2. Integrating Telegraf
and InﬂuxDB
3. Monitoring multi-cloud
infra & demo
4. Future plans
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Mist is an open
source multi-cloud
management
platform.
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020
Native cloud APIs
Multi-cloud API

Single pane of glass to manage your infrastructure

Mist helps you answer
multi-cloud questions.
● What resources do I
have and where?
● How do I control user
access?
● Can I automate self
service workﬂows?
● How do I optimize
usage, cost etc?
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Good decisions are
based on data and
monitoring metrics
are essential.
Mist’s integration with
monitoring tools evolved
over time:
● From Collectd and
Graphite
● To Telegraf and
InﬂuxDB
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Why we moved Telegraf is easier to
install and is better
maintained.
InﬂuxDB allows us NOT
to preconﬁgure metrics’
granularity and
preallocate disk space.
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

What we love about
Telegraf and InﬂuxDB
● Flexibility
● Real open source
● Big and vibrant
ecosystem
● Wide user base
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Let’s put all the pieces
together and add
some glue.
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020
Telegraf
Gocky
InfluxDB
Cilia
Metrics
Monitoring data
Relay
Monitoring data query
Rule evaluation
Triggered action
Data store
Logs query
Metering data
Metering data

Telegraf ● Bash & powershell
script
● Automatic or manual
installation
● Includes Python
plugin for custom
metrics through the
web
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Gocky ● Open source fork of
InﬂuxDB Relay
● Scales horizontally
● Supports InﬂuxDB and
Graphite
● Counts metrics and
sends them to
RabbitMQ
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

InﬂuxDB ● Running v1.x
● By default we ship it
in a container
● You can bring your
own
● Metering data also
stored here
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Cilia ● Constantly queries
monitoring data in
InﬂuxDB and logs in
ElasticSearch
● Evaluates rules
● Triggers actions, e.g.
webhooks, email
alerts, script exec
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

<demo>
How to Gain Visibility into Containers, VM's and Multi-Cloud
Environments Using Telegraf, InﬂuxDB and Mist

Support for all popular infrastructure technologies

Filter through your resources, send actions & create new

Solve issues proactively with a single click

Collect system, application and custom metrics

Execute bash scripts and Ansible playbooks

Orchestrate the entire lifecycle of apps

Create tunnels to access private networks

Set rules and automated actions on metrics and logs

Conﬁgure cross-cloud RBAC and set quotas for your teams

Integrate Mist in your workﬂows using the RESTful API

Recap Mist is open source
cloud management.
Monitoring metrics are
critical.
Mist builds on Telegraf
and InﬂuxDB.
Beneﬁts Mist users get.
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Next steps In Mist v5.0:
● InﬂuxDB v2
● Multi-cloud CLI
After Mist v5.0:
● InﬂuxDB IOx
● Custom dashboardsTelegraf and InﬂuxDB at Mist.io - Dec 15th 2020

Thanks! For more info:
● https://mist.io
● https://github.com/mistio/mist-ce
Or on social:
● https://www.linkedin.com/company/mist-io/
● https://twitter.com/mist_io
Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

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Bevi are the creators of smart water dispensers which empower people to choose their desired beverage — flat or sparkling, their desired flavor and temperature. Since 2014, Bevi users have saved more than 350 million bottles and cans. Their "smart" water coolers have prevented the extraction of 1.4 trillion oz of oil from Earth and have saved 21.7 billion grams of CO2 from the atmosphere. Discover how Bevi uses a time series database to enable better predictive maintenance and alerting of their entire ecosystem — including the hardware and software. They are using InfluxDB to collect sensor data in real-time remotely from their internet-connected machines about their status and activity — i.e., flavor and CO2 levels, water temp, filter status, etc. They a7re using these metrics to improve their customer experience and continuously improve their sustainability practices. Gain tips and tricks on how to best utilize InfluxDB's schema-less design. Join this webinar as Spencer Gagnon dives into: Bevi's approach to reducing organizations' carbon footprint — they are saving 50K+ bottles and cans annually Their entire system architecture — including InfluxDB Cloud, Grafana, Kafka, and DigitalOcean The importance of using time-stamped data to extend the life of their machines

Power Your Predictive Analytics with InfluxDB

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If you're using InfluxDB to store and manage your time series data, you're already off to a great start. But why stop there? In our upcoming webinar, we'll show you how to take your data analysis to the next level by building predictive analytics using a variety of tools and techniques. We will demonstrate how to use Quix to create custom dashboards and visualizations that allow you to monitor your data in real-time. We'll also introduce you to Hugging Face, a powerful tool for building models that can predict future trends and identify anomalies. With these tools at your disposal, you'll be able to extract valuable insights from your data and make more informed decisions about the future. Don't miss out on this opportunity to improve your data analysis skills and take your business to the next level! What you will learn: Use InfluxDB to store and manage time series data Utilize Quix and Hugging Face to build models, visualize trends, and identify anomalies Extract valuable insights from your data Improve your data analysis skills to make informed decision

How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base

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Are you considering replacing your legacy data historian and moving your OT data to the cloud? Join this technical webinar to learn how to adopt InfluxDB and IO Base - a digital platform used to improve operational efficiencies! Teréga Solutions are the creators of digital solutions used to improve energy efficiencies and to address decarbonization challenges. Their network includes 5,000+ km of gas pipelines within France; they aim to help France attain carbon neutrality by 2050. With these impressive goals in mind, Teréga has created IO-Base — the digital platform to improve industrial performance, and increase profitability. Creating digital twins for their clients allows them to collect data from all production sites and view it in real time, from anywhere and at any time. Discover how Teréga uses InfluxDB, Docker, and AWS to monitor its gas and hydrogen pipeline infrastructure. They chose to replace their legacy data historian with InfluxDB — the purpose built time series database. They are collecting more than 100K different metrics at various frequencies — some are collected every 5 seconds to only every 1-2 minutes. THey have reduced overall IT spend by 50% and collect 2x the amount of data at 20x frequency! By using various industrial protocols (Modbus, OPC-UA, etc.), Teréga improved output, reduced the TCO, and is now able to create added-value services: forecast, monitoring, predictive maintenance. Join this webinar as Thomas Delquié dives into: Teréga's approach to modernizing fossil fuel pipelines IT systems while improving yields and safety Their centralized methodology to collecting sensor, hardware, and network metrics The importance of time series data and why they chose InfluxDB

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FlowForge enables organizations to reliably deliver Node-RED applications in a continuous, collaborative, and secure manner. Node-RED is the popular, low-code programming solution that makes it easy to connect different services using a visual programming environment. InfluxData is the creator of InfluxDB, the purpose-built time series database run by developers at scale and in any environment in the cloud, on-premises, or at the edge. Jump-start monitoring your industrial IoT devices and discover how to build an edge-to-cloud solution with the MING stack. The MING stack includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana. This solution can be used to improve fleet management, enable predictive maintenance of industrial machines and power generation equipment (i.e. turbines and generators) and increase safety practices (i.e. buildings, construction sites). Join this webinar to learn best practices from industrial IoT SME's. In this webinar, Robert Marcer and Jay Clifford dive into: Best practices for monitoring sensor data collected by everyone — from the edge to the factory Tips and tricks for using Node-RED and InfluxDB together Demo — see Node-RED and InfluxDB live

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Rust is a systems programming language designed for high performance, type safety, and concurrency. According to Stack Overflow’s annual survey in 2022, Rust is the most loved language with 87% of developers saying they want to continue using it. The same survey also reported that nearly 20% of developers aren’t currently using Rust, but want to start developing using it. Ockam’s suite of programming libraries, command line tools, and managed cloud services enable developers to orchestrate end-to-end encryption. InfluxDB is the purpose-built time series database developed to handle time series data for IoT, monitoring, and real-time analytics. Ockam was originally developed using C, and InfluxDB was originally written using Go; both solutions have been completely rewritten in Rust. Discover why two founders decided to rewrite their developer tools using Rust, and gain insight into the strategy beforehand and the entire process. Join this live panel as Mrinal Wadhwa and Paul Dix dive into: Their approach to rewriting a project in Rust How to build and train engineering teams Tips and tricks learned along the way - pitfalls to look out for! Join this webinar as there will be a live discussion with Q&A

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InfluxData is excited to announce the general availability of InfluxDB Cloud Dedicated! It is a fully managed time series database service running on cloud infrastructure resources that are dedicated to a single tenant. With this new offering, we’re excited to provide our customers with additional security options, and more custom configuration options to best suit customers’ workload requirements. Join this webinar to learn more about InfluxDB Cloud, and the new dedicated database service offering! In this webinar, Balaji Palani and Gary Fowler will dive into: Key features of the new InfluxDB Cloud Dedicated solution Use cases for using the newest version of the purpose-built time series database Live demo During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.

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Many developers and DevOps engineers have become aware of using their observability data to gain greater insights into their infrastructure systems. InfluxDB is the purpose-built time series database used to collect metrics and gain observability into apps, servers, containers, and networks. Developers use InfluxDB to improve the quality and efficiency of their CI/CD pipelines. Start using InfluxDB to aggregate infrastructure and application performance monitoring metrics to enable better anomaly detection, root-cause analysis, and alerting. This session will demonstrate how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source time series database — InfluxDB. Zoe will demonstrate how easy it is to set up the OpenTelemetry Operator for Kubernetes and to store and analyze your data in InfluxDB.

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American Metal Processing Company ("AMP") is the US' largest commercial rotary heat treat facility with customers in the automotive, construction, military, and agriculture industries. They use their atmosphere-protected rotary retort furnaces to provide their clients with three primary hardening services: neutral hardening (quench and temper), carburizing, and carbonitriding. This furnace style ensures consistent, uniform heat treatment process vs. traditional batch-or-belt-style furnaces; excels at processing high volumes of smaller parts with tight tolerances; and improves the strength and toughness of plain carbon steels. Discover why AMP’s use of Telegraf, InfluxDB, Node-RED, and Grafana allows them to gain 24/7 insights into their plant operations and metallurgical results. Learn how they use time-stamped data to gain accurate metrics about their consumables usage, furnace profiles, and machine status. Join this webinar as Grant Pinkos dives into: American Metal Processing's approach to heat treating in a digitized environment through connected systems Their approach to collecting and measuring sensor data to enable predictive maintenance and improve product quality Why they need a time series database for managing and analyzing vast amounts of time-stamped data

How Delft University's Engineering Students Make Their EV Formula-Style Race ...

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Delft University is the oldest and largest technical university in the Netherlands with 25,000+ students. Since 1999, they have had a team of students (undergraduate and graduate) designing, building, and racing cars, as part of the Formula Student worldwide competition. The competition has grown to include teams from 1K+ universities in 20+ countries. Students are responsible for all aspects of car manufacturing (research, construction, testing, developing, marketing, management, and fundraising). Delft University's team includes 90 students across disciplines. Discover how Delft University's team uses Marple and InfluxDB to collect telemetry and sensor metrics while they develop, test, and race their electrics cars. They collect sensor data about their EV's control systems using a time series platform. During races, they are collecting IoT data about their batteries, accelerometer, gyroscope, tires, etc. The engineers are able to share important car stats during races which help the drivers tweak their driving decisions — all with the goal of winning. After races, the entire team are able to analyze data in Marple to understand what to do better next time. By using Marple + InfluxDB, their team are able to collect, share and analyze high frequency car data used to make their car faster at competitions. Join this webinar as Robbin Baauw and Nero Vanbiervliet dive into: Marple's approach to empowering engineers to organize, analyze, and visualize their data Delft University's collaborative methodology to building and racing their Formula-style race car How InfluxDB is crucial to their collaborative engineering and racing process

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InfluxData is excited to announce the general availability of InfluxDB Cloud's new storage engine! It is a cloud-native, real-time, columnar database optimized for time series data. InfluxDB's rebuilt core was coded in Rust and sits on top of Apache Arrow and DataFusion. InfluxData's team picked Apache Parquet as the persistent format. In this webinar, Paul Dix and Balaji Palani will demonstrate key product features including the removal of cardinality limits! They will dive into: The next phase of the InfluxDB platform How using Apache Arrow's ecosystem has improved InfluxDB's performance and scalability Key features of InfluxDB Cloud's new core — including SQL native support

Start Automating InfluxDB Deployments at the Edge with balena

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balena.io helps companies develop, deploy, update, and manage IoT devices. By using Linux containers and other cloud technologies, balena enables teams to quickly and easily build fleets of connected devices. Developers are able to use containers with the language of choice and pull IoT sensor data from 70+ different single board computers into balenaCloud. Discover how to use balena.io to automate your InfluxDB deployments at the edge! During this one-hour session, experts from balena and InfluxData will demonstrate how to build and deploy your own air quality IoT solution. You will learn: The fundamentals of IoT sensor deployment and management using balena. How to use a time series platform to collect and visualize metrics from edge devices. Tips and tricks to using balenaCloud to automate InfluxDB deployments and Telegraf configurations. How to use InfluxDB's Edge Data Replication feature to collect sensor data and push it to InfluxDB Cloud for analysis. No coding experience required, just a curiosity to start your own IoT adventure.

Understanding InfluxDB’s New Storage Engine

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Learn more about InfluxDB’s new storage engine! The team developed a cloud-native, real-time, columnar database optimized for time series data. We built it all in Rust and it sits on top of Apache Arrow and DataFusion. We chose Apache Parquet as the persistent format, which is an open source columnar data file format. This new storage engine provides InfluxDB Cloud users with new functionality, including the removal of cardinality limits, so developers can bring in massive amounts of time series data at scale. In this webinar, Anais Dotis-Georgiou will dive into: Requirements for rebuilding InfluxDB’s core Key product features and timeline How Apache Arrow’s ecosystem is used to meet those requirements Stick around for a demo and live Q&A

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RudderStack — the creators of the leading open source Customer Data Platform (CDP) — needed a scalable way to collect and store metrics related to customer events and processing times (down to the nanosecond). They provide their clients with data pipelines that simplify data collection from applications, websites, and SaaS platforms. RudderStack's solution enables clients to stream customer data in real time — they quickly deploy flexible data pipelines that send the data to the customer's entire stack without engineering headaches. Customers are able to stream data from any tool using their 16+ SDK's, and they are able to transform the data in-transit using JavaScript or Python. How does RudderStack use a time series platform to provide their customers with real-time analytics? Join this webinar as Ryan McCrary dives into: RudderStack's approach to streamlining data pipelines with their 180+ out-of-the-box integrations Their data architecture including Kapacitor for alerting and Grafana for customized dashboards Why using InfluxDB was crucial for them for fast data collection and providing single-sources of truths for their customers

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1. Telegraf and InﬂuxDB at Mist.io Gain visibility into containers, VMs and multi-cloud environments

2. Introductions Chris Psaltis CEO & co-founder at Mist.io Email: cpsaltis@mist.io Twitter: @cpsaltis Dimitris Moraitis CTO & co-founder at Mist.io Email: dimo@mist.io Twitter: @d1_mo

3. Agenda 1. What is Mist 2. Integrating Telegraf and InﬂuxDB 3. Monitoring multi-cloud infra & demo 4. Future plans Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

4. Mist is an open source multi-cloud management platform. Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020 Native cloud APIs Multi-cloud API

5. Single pane of glass to manage your infrastructure

6. Mist helps you answer multi-cloud questions. ● What resources do I have and where? ● How do I control user access? ● Can I automate self service workﬂows? ● How do I optimize usage, cost etc? Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

7. Good decisions are based on data and monitoring metrics are essential. Mist’s integration with monitoring tools evolved over time: ● From Collectd and Graphite ● To Telegraf and InﬂuxDB Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

8. Why we moved Telegraf is easier to install and is better maintained. InfluxDB allows us NOT to preconfigure metrics’ granularity and preallocate disk space. Telegraf and InfluxDB at Mist.io - Dec 15th 2020

9. What we love about Telegraf and InﬂuxDB ● Flexibility ● Real open source ● Big and vibrant ecosystem ● Wide user base Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

10. Let’s put all the pieces together and add some glue. Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020 Telegraf Gocky InfluxDB Cilia Metrics Monitoring data Relay Monitoring data query Rule evaluation Triggered action Data store Logs query Metering data Metering data

11. Telegraf ● Bash & powershell script ● Automatic or manual installation ● Includes Python plugin for custom metrics through the web Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

12. Gocky ● Open source fork of InfluxDB Relay ● Scales horizontally ● Supports InfluxDB and Graphite ● Counts metrics and sends them to RabbitMQ Telegraf and InfluxDB at Mist.io - Dec 15th 2020

13. InﬂuxDB ● Running v1.x ● By default we ship it in a container ● You can bring your own ● Metering data also stored here Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

14. Cilia ● Constantly queries monitoring data in InﬂuxDB and logs in ElasticSearch ● Evaluates rules ● Triggers actions, e.g. webhooks, email alerts, script exec Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

15. <demo> How to Gain Visibility into Containers, VM's and Multi-Cloud Environments Using Telegraf, InﬂuxDB and Mist

16. Support for all popular infrastructure technologies

17. Filter through your resources, send actions & create new

18. Solve issues proactively with a single click

19. Collect system, application and custom metrics

20. Get a fully featured web shell

21. Centralize credential management

22. Execute bash scripts and Ansible playbooks

23. Orchestrate the entire lifecycle of apps

24. Create tunnels to access private networks

25. Set schedules for periodic tasks

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27. Conﬁgure cross-cloud RBAC and set quotas for your teams

28. Audit all user actions from within Mist

29. Keep track of infrastructure costs

30. Stay on top of your inventory

31. Integrate Mist in your workﬂows using the RESTful API

32. </demo> How to Gain Visibility into Containers, VM's and Multi-Cloud Environments Using Telegraf, InﬂuxDB and Mist

33. Recap Mist is open source cloud management. Monitoring metrics are critical. Mist builds on Telegraf and InfluxDB. Benefits Mist users get. Telegraf and InfluxDB at Mist.io - Dec 15th 2020

34. Next steps In Mist v5.0: ● InfluxDB v2 ● Multi-cloud CLI After Mist v5.0: ● InfluxDB IOx ● Custom dashboardsTelegraf and InfluxDB at Mist.io - Dec 15th 2020

35. Thanks! For more info: ● https://mist.io ● https://github.com/mistio/mist-ce Or on social: ● https://www.linkedin.com/company/mist-io/ ● https://twitter.com/mist_io Telegraf and InﬂuxDB at Mist.io - Dec 15th 2020

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