Talk by: Felix Joussein
Icinga is used to monitor and alert in case of temperature deviations in a GxP (pharmaceutical industry) regulated environment. The holy grale in a laboratpry environment are the study samples (animal but also human). So regulators (EMA, FDA,..) around the world want to ensure, that the sample-stability is at it’s best. To ensure this, depending on the known stability, certain temperature ranges in cooling-units are defined and have to be trackable thourghout the whole lifecycle of such a sample.
Thực phẩm dễ hỏng ngay cả khi chúng được tối ưu hóa trong việc chế biến và đóng gói. Chúng cần được phân phối và lưu trữ một cách thích hợp để đảm bảo chất lượng và thời hạn sử dụng của chúng. Các mặt hàng dễ hỏng như sữa, rau, trái cây, hải sản, thịt, đồ đông lạnh và các sản phẩm dược phẩm như thuốc, vắc-xin, thuốc tiêm, v.v. Những sản phẩm này rất nhạy cảm với nhiệt độ và hạn sử dụng của chúng bị ảnh hưởng nếu không được bảo quản phù hợp. Để đảm bảo điều đó, cần có các kho chuỗi lạnh hiệu quả - nơi có thể quản lý sản phẩm, đồng thời giảm hao hụt.
Rotronic Data Sheet HygroGen2-S-XL, reference generators for calibration of humidity and temperature instruments. Info lebih lanjut hubungi Siwali Swantika, Jakarta : 021-45850618 | Surabaya : 031-8421264. Distributor Rotronic di Indonesia
Reference generator untuk kalibrasi instrument suhu dan kelembaban. Demo request dan pemesanan produk, silakan menghubungi PT. Siwali Swantika (Jakarta : 021-45850618/ Surabaya : 031-8421278) atau email ke marketing.siwali@gmail.com.
Kunjungi website kami di www.siwali.com untuk informasi produk Rotronic lainnya.
Data Structures for High Resolution, Real-time Telemetry at ScaleScyllaDB
The challenge within telemetry in real-time systems is that you need as many sources of telemetry as possible (Throughput, latency, Errors, CPU, and many more... ) but you can't pay for extra overhead when our users are expecting sub-ms ops that scale to millions of transactions per second.
In this talk, we'll describe how we're using and improving several OSS data structures to incorporate telemetry features at scale, and showcase why they do matter on scenarios in which we have Performance/Security/Ops issues.
Thực phẩm dễ hỏng ngay cả khi chúng được tối ưu hóa trong việc chế biến và đóng gói. Chúng cần được phân phối và lưu trữ một cách thích hợp để đảm bảo chất lượng và thời hạn sử dụng của chúng. Các mặt hàng dễ hỏng như sữa, rau, trái cây, hải sản, thịt, đồ đông lạnh và các sản phẩm dược phẩm như thuốc, vắc-xin, thuốc tiêm, v.v. Những sản phẩm này rất nhạy cảm với nhiệt độ và hạn sử dụng của chúng bị ảnh hưởng nếu không được bảo quản phù hợp. Để đảm bảo điều đó, cần có các kho chuỗi lạnh hiệu quả - nơi có thể quản lý sản phẩm, đồng thời giảm hao hụt.
Rotronic Data Sheet HygroGen2-S-XL, reference generators for calibration of humidity and temperature instruments. Info lebih lanjut hubungi Siwali Swantika, Jakarta : 021-45850618 | Surabaya : 031-8421264. Distributor Rotronic di Indonesia
Reference generator untuk kalibrasi instrument suhu dan kelembaban. Demo request dan pemesanan produk, silakan menghubungi PT. Siwali Swantika (Jakarta : 021-45850618/ Surabaya : 031-8421278) atau email ke marketing.siwali@gmail.com.
Kunjungi website kami di www.siwali.com untuk informasi produk Rotronic lainnya.
Data Structures for High Resolution, Real-time Telemetry at ScaleScyllaDB
The challenge within telemetry in real-time systems is that you need as many sources of telemetry as possible (Throughput, latency, Errors, CPU, and many more... ) but you can't pay for extra overhead when our users are expecting sub-ms ops that scale to millions of transactions per second.
In this talk, we'll describe how we're using and improving several OSS data structures to incorporate telemetry features at scale, and showcase why they do matter on scenarios in which we have Performance/Security/Ops issues.
Using OPC-UA to Extract IIoT Time Series Data from PLC and SCADA SystemsInfluxData
Algist Bruggeman NV produces yeast for large-scale bakeries and home bakers. The company lacked insight into its fermentation process as its sensor data collection process was manual. Production data was committed to paper, making it difficult to compare batches, aggregate production parameters or detect anomalies.
Factry.IO’s data historian, built on InfluxDB, has helped the company collect process data, enabling it to gain more insight into its production process and provide predictive maintenance.
In this webinar, learn about Algist Bruggeman NV’s business outcomes and the technical setup of linking time series data with ERP, planning and quality data for operational improvement.
Diskusi teknis dan info lebih lanjut, hubungi PT Siwali Swantika
☎️ JKT 021-45850618
☎️ SBY 031-8421264
atau kunjungi website kami di https://siwali.com/
Improving GStreamer performance on large pipelines: from profiling to optimiz...Luis Lopez
When using GStreamer for creating media middleware and media infrastructures performance becomes critical for achieving the appropriate scalability without degrading end-user QoE. However, GStreamer does not provide off-the-shelf tools for that objective.
In this talk, we present efforts carried out for improving the performance of the Kurento Media Server during the last year. We present our main principle: “you cannot improve what you cannot measure”. Developing on it, we introduce different techniques for benchmarking large GStreamer pipelines including callgrind, time profiling, gst-meta profiling, chain-profiling, etc. We present results for different pipeline configurations and topologies. After that, we introduce some evolutions for GStreamer which could be helpful for optimizing performance such as the pervasive use of buffer-lists, the introduction of thread-pools or the appropriate management of queues.
To conclude, we present some preliminary work carried out in the GStreamer community for implementing such optimization and we discuss their advantages and drawbacks.
Purpose and Functions of Temperature Data Logger — What You Need to KnowInfyiot Solutions
RS485 is a standard for serial communication used in a wide range of industrial applications. It allows multiple devices to communicate with each other over long distances using a single pair of wires. An RS485 Gateway is a device that allows data to be transferred between RS485 and other communication protocols such as Ethernet. Hello all, welcome to the article that will explore how an RS485 gateway works and its applications.
G-Tek Electronic Shipping Indicators play a critical role in maintaining vaccines safety during transit by monitoring and recording temperature data and providing visual alerts for temperature breaches. These indicators are essential, as they provide the necessary evidence of vaccine safety that pharmaceutical companies and supply chain managers require-certifying vaccine safety and efficacy.
National Instruments 'Webcast Wednesday' presented by :
Bandan Jot SIngh , Applications Engineer , National Instruments India
For more information on Webcast Wednesday's:
http://digital.ni.com/worldwide/india.nsf/web/all/8A6F4A7271EAC4AF86257661006318F9?OpenDocument&node=163960_us
Architectual Comparison of Apache Apex and Spark StreamingApache Apex
This presentation discusses architectural differences between Apache Apex features with Spark Streaming. It discusses how these differences effect use cases like ingestion, fast real-time analytics, data movement, ETL, fast batch, very low latency SLA, high throughput and large scale ingestion.
Also, it will cover fault tolerance, low latency, connectors to sources/destinations, smart partitioning, processing guarantees, computation and scheduling model, state management and dynamic changes. Further, it will discuss how these features affect time to market and total cost of ownership.
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
This is an overview of architecture with use cases for Apache Apex, a big data analytics platform. It comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn more about two use cases: A leading Ad Tech company serves billions of advertising impressions and collects terabytes of data from several data centers across the world every day. Apex was used to implement rapid actionable insights, for real-time reporting and allocation, utilizing Kafka and files as source, dimensional computation and low latency visualization. A customer in the IoT space uses Apex for Time Series service, including efficient storage of time series data, data indexing for quick retrieval and queries at high scale and precision. The platform leverages the high availability, horizontal scalability and operability of Apex.
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Apache Apex is a next gen big data analytics platform. Originally developed at DataTorrent it comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn about the Apex architecture, including its unique features for scalability, fault tolerance and processing guarantees, programming model and use cases.
http://apachebigdata2016.sched.org/event/6M0L/next-gen-big-data-analytics-with-apache-apex-thomas-weise-datatorrent
Upgrading Incident Management with Icinga - Icinga Camp Milan 2023Icinga
Talk by: Blerim Sheqa
We started an initiative to rebuild and upgrade the way how incidents are handled in Icinga. Our approach includes better contact management, easier configuration of notification rules and better accessibility through the Icinga web interface. In this talk we will guide you through our concepts and demonstrate the current state of development.
Extending Icinga Web with Modules: powerful, smart and easily created - Icing...Icinga
Talk by: Nicolas Schneider
At the Icinga Camp Berlin 2023 Nicolas shared his knowledge on how to build modules for Icinga Web. This time he will demonstrate what he has build so far, including extended functionalities to impersonate within Icinga Web, enforce team dashboards and many more.
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Similar to Monitoring Cooling Units in a pharmaceutical GxP regulated environment - Icinga Camp Milan 2023
Using OPC-UA to Extract IIoT Time Series Data from PLC and SCADA SystemsInfluxData
Algist Bruggeman NV produces yeast for large-scale bakeries and home bakers. The company lacked insight into its fermentation process as its sensor data collection process was manual. Production data was committed to paper, making it difficult to compare batches, aggregate production parameters or detect anomalies.
Factry.IO’s data historian, built on InfluxDB, has helped the company collect process data, enabling it to gain more insight into its production process and provide predictive maintenance.
In this webinar, learn about Algist Bruggeman NV’s business outcomes and the technical setup of linking time series data with ERP, planning and quality data for operational improvement.
Diskusi teknis dan info lebih lanjut, hubungi PT Siwali Swantika
☎️ JKT 021-45850618
☎️ SBY 031-8421264
atau kunjungi website kami di https://siwali.com/
Improving GStreamer performance on large pipelines: from profiling to optimiz...Luis Lopez
When using GStreamer for creating media middleware and media infrastructures performance becomes critical for achieving the appropriate scalability without degrading end-user QoE. However, GStreamer does not provide off-the-shelf tools for that objective.
In this talk, we present efforts carried out for improving the performance of the Kurento Media Server during the last year. We present our main principle: “you cannot improve what you cannot measure”. Developing on it, we introduce different techniques for benchmarking large GStreamer pipelines including callgrind, time profiling, gst-meta profiling, chain-profiling, etc. We present results for different pipeline configurations and topologies. After that, we introduce some evolutions for GStreamer which could be helpful for optimizing performance such as the pervasive use of buffer-lists, the introduction of thread-pools or the appropriate management of queues.
To conclude, we present some preliminary work carried out in the GStreamer community for implementing such optimization and we discuss their advantages and drawbacks.
Purpose and Functions of Temperature Data Logger — What You Need to KnowInfyiot Solutions
RS485 is a standard for serial communication used in a wide range of industrial applications. It allows multiple devices to communicate with each other over long distances using a single pair of wires. An RS485 Gateway is a device that allows data to be transferred between RS485 and other communication protocols such as Ethernet. Hello all, welcome to the article that will explore how an RS485 gateway works and its applications.
G-Tek Electronic Shipping Indicators play a critical role in maintaining vaccines safety during transit by monitoring and recording temperature data and providing visual alerts for temperature breaches. These indicators are essential, as they provide the necessary evidence of vaccine safety that pharmaceutical companies and supply chain managers require-certifying vaccine safety and efficacy.
National Instruments 'Webcast Wednesday' presented by :
Bandan Jot SIngh , Applications Engineer , National Instruments India
For more information on Webcast Wednesday's:
http://digital.ni.com/worldwide/india.nsf/web/all/8A6F4A7271EAC4AF86257661006318F9?OpenDocument&node=163960_us
Architectual Comparison of Apache Apex and Spark StreamingApache Apex
This presentation discusses architectural differences between Apache Apex features with Spark Streaming. It discusses how these differences effect use cases like ingestion, fast real-time analytics, data movement, ETL, fast batch, very low latency SLA, high throughput and large scale ingestion.
Also, it will cover fault tolerance, low latency, connectors to sources/destinations, smart partitioning, processing guarantees, computation and scheduling model, state management and dynamic changes. Further, it will discuss how these features affect time to market and total cost of ownership.
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
This is an overview of architecture with use cases for Apache Apex, a big data analytics platform. It comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn more about two use cases: A leading Ad Tech company serves billions of advertising impressions and collects terabytes of data from several data centers across the world every day. Apex was used to implement rapid actionable insights, for real-time reporting and allocation, utilizing Kafka and files as source, dimensional computation and low latency visualization. A customer in the IoT space uses Apex for Time Series service, including efficient storage of time series data, data indexing for quick retrieval and queries at high scale and precision. The platform leverages the high availability, horizontal scalability and operability of Apex.
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Apache Apex is a next gen big data analytics platform. Originally developed at DataTorrent it comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn about the Apex architecture, including its unique features for scalability, fault tolerance and processing guarantees, programming model and use cases.
http://apachebigdata2016.sched.org/event/6M0L/next-gen-big-data-analytics-with-apache-apex-thomas-weise-datatorrent
Upgrading Incident Management with Icinga - Icinga Camp Milan 2023Icinga
Talk by: Blerim Sheqa
We started an initiative to rebuild and upgrade the way how incidents are handled in Icinga. Our approach includes better contact management, easier configuration of notification rules and better accessibility through the Icinga web interface. In this talk we will guide you through our concepts and demonstrate the current state of development.
Extending Icinga Web with Modules: powerful, smart and easily created - Icing...Icinga
Talk by: Nicolas Schneider
At the Icinga Camp Berlin 2023 Nicolas shared his knowledge on how to build modules for Icinga Web. This time he will demonstrate what he has build so far, including extended functionalities to impersonate within Icinga Web, enforce team dashboards and many more.
Infrastructure Monitoring for Cloud Native Enterprises - Icinga Camp Milan 2023Icinga
Talk by: Simone Nocentini and Vladimir Mozharov
Being a manged service provider comes with its very own challenges, especially when it comes to monitoring. In this session we will dive in into Kiratech’s infrastructure to get an overview from the provider and the client perspective, and what it takes to monitor a variety of technologies with Icinga. The strategy contains an approach of deploying Icinga with Ansible for comprehensive visibility and linking it with FreshService for seamless integration. We will have an outlook to future projects including event-driven automations, Icinga-style observability and application monitoring.
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Talk by: Birol Yildiz
Developers and OPS engineers face the relentless challenge of responding to incidents swiftly and effectively, ensuring seamless system operations and customer satisfaction. At this talk attendants will learn how to implement proactive alerting strategies, effectively triage incidents, and collaborate seamlessly during high-pressure situations.
SNMP Monitoring at scale - Icinga Camp Milan 2023Icinga
Talk by: Rocco Pezzani and Thomas Gelf
This presentation unveils a new addon component for the Icinga ecosystem, developed in collaboration with Würth Phoenix and with the support of Irideos. It enables distributed SNMP network monitoring for large segmented networks, capable of monitoring huge numbers of devices in near real-time, while displaying trend graphs for sensor and performance metrics.
An interactive MIB browser with distributed SNMP polling support and some nice network device visualization components will also be shown.
Monitoring Kubernetes with Icinga - Icinga Camp Milan 2023Icinga
Talk by: Eric Lippmann
We recently started researching and developing a Module for Icinga to monitor Kubernetes environments. During the past months we learned a lot about the platform and how we can monitor Kubernetes with Icinga efficiently. In this talk I will present our challenges but also the progress that we made. The talk will include a sneak peak into the current state of the Module and outline our vision of monitoring Kubernetes with Icinga.
Current State of Icinga - Icinga Camp Milan 2023Icinga
Talk by: Bernd Erk
This talk is a summary of all news and updates of the last months. We will cover all relevant fields and share updates about the current state of Icinga.
Efficient IT operations using monitoring systems and standardized tools - Ici...Icinga
Talk by: Magnus Lübeck
This talk will discuss Icinga as the “one stop shop” for finding the “single truth of systems state”. KMG Group use a “four field” model when designing systems, where Icinga have an important place in a section called “technical monitoring/technical performance monitoring”. We touch two methodologies (MOPS – Metrics, Operational tools, Processes, and Metrics), and Ted Dziuba’s actionable response to monitoring events.
Talk by: Stefano Bruno
Tornado is a high performance and scalable application written in Rust. It is able to handle millions of events each second on standard server hardware. The main objective of this talk is to show how you can extend an Icinga2 with Tornado through the three main modules: Tornado data collector, Tornado rule engine, Tornado executor. With Tornado we will able to receive events from different channels like SNMP Trap, Syslog, Email, SMS, Telegram and match them against a rule engine and decide which action to associate.
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Signalilo is a small webhook server for ingesting Prometheus alerts into Icinga2. Our motivation for creating Signalilo was to integrate alerts from existing Prometheus-based monitoring suites (e.g. for OpenShift Container Platform) into our company-wide Icinga2. Signalilo is currently deployed on 10 OpenShift clusters and forwards Prometheus alerts to Icinga2.
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The Max Planck Computing and Data Facility (MPCDF, formerly known as RZG) is using Icinga / Nagios for more than 10 years now. We have/had several instances for different areas, such as miscellaneous servers, clusters or even EU-Projects spanning several European sites. This talk is about our (still ongoing) transition from our icinga1 installation for general servers which is based on many config-files, changed by two people only, to a director based self-service. The goal is that our fellow admins can integrate new hosts by a few steps. The configuration is declarative. In the host-object they just choose templates and fill in fields and arrays. The actual icinga2-configuration is then done via apply-rules.
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This slot will give insights in the new architecture of the actual NetEye 4 version based on Icinga 2, allowing further scalability to perform also complex event processing (CEP) over a large number of event streams. CEP scenarios will process the events based on the resource consumption limits. The ability to do fast in-memory processing of events such as filtering, grouping and aggregating this way enables to do real time analysis.
Integrating Icinga 2 and ntopng - Icinga Camp Milan 2019Icinga
Talk by Simone Mainardi:
Icinga2 offers useful checks when it comes to monitoring hosts and services in the network. It can ping, test HTTP and DNS services, or establish network connections to make sure everything is up and running. However, such checks are not always enough to ensure the network is operating smoothly with healthy hosts and services. Can you be sure there is no unwanted traffic towards hosts believed to be malicious? What about unencrypted communications and weak TLS? Why has the throughput of an host surged today?
This talk discusses how Icinga2 can be integrated with ntopng to bring network checks a step forward. ntopng, a widely-known network visibility tool, will be used in combination with Icinga2 to create a framework for the timely detection of unwanted or suspicious activities in the network, beyond basic up-or-down checks.
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Talk by Marco Bizzantino:
In my talk I will demonstrate how monitoring works with the DevOps approach. Within an organisation, different people with different roles need to have a complete view over the whole infrastructure. One of the greatest benefits of Icinga is its ability to integrate with various tools and modules to satisfy the company’s requests. An example is OpenShift monitoring. I will point out the most important parts of monitoring OpenShift infrastructure while maintaining it’s complexity. In my approach I will show how we combine Icinga, Prometheus, Grafana and Elasticsearch for an overall OpenShift monitoring solution. Additional examples will show the benefits of using Icinga’s Business Process modelling to add more value to the result.
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Talk by Bernd Erk:
Humans are creatures of habit – we have our environments, our tasks, our routine. Building up a routine takes a lot out of us – so as soon as we find something that works for us we stick with it. But is it effective? Are there tools that can make our life so much easier if we manage to integrate them into our routine? Of course, we’re in IT, there are always new and good tools! Only 2 more hurdles to clear – find the right tools for you and actually make the effort to integrate them into your routine.
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Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
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Monitoring Cooling Units in a pharmaceutical GxP regulated environment - Icinga Camp Milan 2023
1. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
Welcome to Icinga Camp Milan
Oct. 17, 2023
2. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
About me!
like “Jalousie” and “Cousin”
Felix Joussein
3. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● What is GxP? (1)
● Good x Practices
● x = Laboratory | Clinical | Manufactoring
● Basic meaning?
● What am I doing?
What is the intended result of my process?
Which risks are involved?
● Where am I doing it?
Is the used equipment and it’s consumables suitable for my process?
Lifecycle based approach to all equipment and consumables
● Why am I doing it?
Is my process transparent and documented in a comprehensive manner?
Have my documents a lifecycle policy applied with periodic review?
4. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● What is GxP? (2)
● Who checks the compliance?
● Your local compliance authority
AGES, BFR, AIFA,...
● EMA (European Medicine Agency, EU)
● FDA (Food and Drug Administration, US)
● And many more local and international GxP regulatory offices
● Purpose of those regulations
● Global comparability
● Human wealth
● Animal wealth
● Cost efficiency
5. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● GxP Requirements and considerations (1)
● defined temperature set-points
depending the stability of cooling goods
● defined deviation-ranges around the set-point
compressor-based cooling units oscillate to keep a defined temperature
6. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● GxP Requirements and considerations (2)
● Cooling unit type
● Depending on top- or front loader, compartments and other, thaw and freeze
curves must be considered to find an acceptable time frame for loading and
unloading cooling goods.
● Ensure data integrity and completenes
● Open systems: Recorded data must be available and readable for 25 or more
years
● Alerting for record gaps must be in place
7. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Commercial Infrastructure involved
● Datalogger
● blackbox with incomprehensive internal monitoring and alerting options but
accessible via Modbus over tcp (this is the way to Icinga2)
● Software to the Datalogger
● polling server retrieves data from the datalogger and pushes it to an MS
Access Database
● used to draw graphs and export data in CSV
8. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Icinga2: monitoring the temperature (1)
Monitoring temperature deviations is like monitoring a ping’s rtt
● Modbus Script
● Bash polling script, that retrieves every 5 Minutes (via cron) all available
channel names with temperature value and writes its output to /tmp
● Icinga2 check
● each Cooling unit is created as a host-object
● a Bash Check-command script will query the result file of the polling script
● hosts- and service template ease the creation of such host-objects
● templates use the defined command configuration that offers configuration for
set temperature, warning and critical treshholds (both to hot or to cold)
● Default settings of host- and service variables can be overwritten in the
host object.
9. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Icinga2: monitoring the temperature(2)
● Alerting
● A check is performed every 5 minutes
● On Warn | Crit it tries 5 more times before executing a notification script
● Re-check every 30 minutes
● Notifications contain the current-, set-, warn- and critical values
● Notifications are sent to
● the cooling unit logbook, which is implemented with Znuny (OTRS fork)
● Via SMS (text message on cell) to alarm responsible staff
● Visualization
● Using Graphite, fancy temperature curves are drawn
10. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Icinga2: monitoring data completeness (1)
● Data source
● Data recorder creates a temperature record every 5 minutes
● Data recorder’s rawdata-format temperproof, encrypted and proprietary
● Import via data recorder compendium software to MS Access database
● One way sync with commercial tool to MSSQL on a daily bases
● Icinga2 check
● A service-template is added to the cooling unit host’s object
● A Command configuration provides via variables for the host-service the
cooling unit’s channel name within the proprietary database structure
● A php check command (running as CLI) script executes the query against the
database and returns a check result for Icinga2.
11. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Icinga2: monitoring data completeness (2)
● Acceptance criteria for “completeness”
● > 263 / 288 datapoints per day
● Alerting
● A check is performed every 5 minutes
● Notifications output contains a list of missing days (if any) as well as
the check-period in days.
● Notifications are sent to the cooling unit logbook
12. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Conclusion(s):
● Passing End-User acceptance-test
● Icingaweb2’s UI is suitable and well accepted by end-users (not only for
admins)
● Accepted by regulatory agencies
● Regulatory officers are not familiar with “non-industry-standard”-Systems,
and yet approve this system as a valid solution to ensure sample-stability
and data integrity
13. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
● Outlook / enhancements:
● Temperature-Rawdata acquisition
● Skipping the various database import/sync operations feeding the modbus-
→
data directly to a well organized SQL DB
● Telemetry processing
● Feeding data to ELK-Stack for enhanced reporting possibilities
14. Monitoring Cooling units
in a GxP regulated
pharmaceutical environment
Thank you for your attention!
Any Questions?