Logging & Metrics
15 likes3,830 views
The document discusses logging and metrics within software systems, highlighting the importance of logging for debugging and health status while cautioning against using it for system health checks. It elaborates on different types of metrics including counters, gauges, histograms, and timers, emphasizing best practices such as measuring everything and implementing retention policies. Additionally, it briefly mentions tools like Logstash, Graylog, and Kafka for managing logs and metrics.
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We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd.
Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!FIDO Seminar: Targeting Trust: The Future of Identity in the Workforce.pptx
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FIDO Seminar: Targeting Trust: The Future of Identity in the WorkforceFrom Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/
Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge tutorial at the May 2025 Embedded Vision Summit.
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Servi also highlights his companys collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether youre scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptx
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FIDO Seminar: Authentication for a Billion Consumers - AmazonCan We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...
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Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes.
To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptx
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The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, were migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.ENERGY CONSUMPTION CALCULATION IN ENERGY-EFFICIENT AIR CONDITIONER.pdf
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fixed-speed air conditioners, DC inverter systems operate with variable-speed compressors that
modulate cooling output based on demand, significantly reducing energy consumption and
extending the lifespan of the appliance.
These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and
promoting eco-friendly technologies in residential and commercial sectors. With advancements in
compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners
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A non-profit human services agency with specialized health record and billing systems. Challenges solved include access control integrations from employee electronic HR records, multiple regulations compliance, data migrations, benefits enrollments, payroll processing, and automated reporting for business intelligence and analysis.AI VIDEO MAGAZINE - June 2025 - r/aivideo
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AI VIDEO MAGAZINE - r/aivideo community newsletter Exclusive Tutorials: How to make an AI VIDEO from scratch, PLUS: How to make AI MUSIC, Hottest ai videos of 2025, Exclusive Interviews, New Tools, Previews, and MORE - JUNE 2025 ISSUE -June Patch Tuesday
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The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.vertical-cnc-processing-centers-drillteq-v-200-en.pdf
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FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...
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Ad
Logging & Metrics
- 1. Logging & Metrics Tammo van Lessen Christian Grobmeier @taval @grobmeier
- 3. Nr必wL菱sGnT FUCkQJ弼YcJ jUQwjIaagt uVimjWTocH x肘UNW桧XZ膝B dtNpSSk必fw ADj必畢fqlnt IOHl弼HACmU m弼J膝i肘g弼必p wm必ommkSvh ttjWddK桧菱L VZdCOl筆Sjg epqMlTntGL to逼Bo00WMi N肘TzEjF菱Z肘 rs桧w肘e膝ZL菱 必X畢umEbaiu 畢CL逼HBEK菱X PihltWebCI Vtu筆xhTBdf 逼H肘mhqY0ug 桧膝WvNUYCt逼 rMpEVUiwUA l逼SaAnGNto nPcoiO0rhq TYt弼pMrnrt HOUSTON!!! 畢VKJqPAnbO V桧qofvZZfq z菱l桧筆jCNqQ M0IFOjnNyg 弼MB菱b肘qcIH KXk必ypeVT畢 ZIHci菱rLyi DdLiDNuYh必 CIhpk逼桧xEa pKSNI弼zNtB rQ必CAZSUwc MLY膝ERwC逼X yZQTzyOpZb TOOrfLATEv RfLwPsLfpQ 膝cmPmjCXw畢 畢RX肘rqEqUa UzzEmCafve BNlRGzhDh逼 肘tNdDfhQLn TS必KPpmIOR snt逼emAsgZ WxKM菱畢sPbt NkAh逼OFRHK rz弼jPlR肘Qg OhoW桧UiOzB RBZc弼NbjCA fgjchg筆KHL pX桧G肘T弼Tti
- 7. MDC to the rescue? ThreadContext.put顛"loginId", login; logger.error顛"Something bad happened!"; ThreadContext.clear顛; + Layout: %-必p: %m%n %X{loginId} Could log: ERROR: Something bad happened! @grobmeier
- 8. Enough?
- 9. Dealing with the Stream Of Logs Flume, Kafka, Logstash, Graylog2, Fluentd
- 10. Searching logs Graylog2, ElasticSearch
- 13. A Logstash Cluster From the Logstash docs
- 14. May I help you? FluentD (AL 2.0) Graylog 2 (GPL) Loggly (commerical)
- 15. If you want to know... ...you need to log.
- 16. How much is healthy?
- 17. Trace is almost for free. Log4j 2 Filters help too.
- 18. Default Levels Files? Warn only. Logstash & Co? Info. Magic bugs + advanced setup? Debug, or even trace.
- 19. Start with verbs DEBUG adding user @grobmeier on node "baldur" DEBUG removing user @taval on node "mj旦lnir" DEBUG created entry for @taval on node "baldur" Idea taken from TJ Holowaychuk
- 20. Logging is cool. Can I use it to get a health status of my systems?
- 21. You can! But you shouldn't!
- 22. Metrics Business Metrics Application Metrics System Metrics
- 23. Gauges An instrument that measures a value.
- 24. Counters A counter is a simple incrementing and decrementing integer.
- 25. Histograms A Histogram measures the distribution of values.
- 26. Meters A meter measures the rate at which a set of events occur.
- 27. Timers
- 37. Dashboards
- 38. Graphite
- 39. Cubism.js Mirror Offset 1 + Credits: Michael Bostock
- 41. Comparisons var cube = context.cube顛"http://...", primary = cube.metric顛"sum顛request", secondary = primary.shift顛-筆 * 菱弼 * 畢0 * 畢0 * 膝000;
- 42. Graphene ...
- 43. Dashing ...
- 44. Best practices Measure everything! Counters ./. Meters Metrics are cheap, but not for free. Retention Policies
- 45. Prevent the apocalypse! Logging shows events. Metrics shows state.
- 46. Thank you! We use Twitter! @taval, @innoq & @grobmeier
- 47. Credits Holzstapel CPU by mbostock Mess by Rev Stan Debt by "Images Money" (Flickr) Pay Here by Marc Falardeau Cockpit by Ronnie Rams Stream by Phil Whitehouse Magnifier by John Lodder (Flickr) Flying Saucer, Cup, and Teapot! by Mr Thinktank Ice berg by Derek Keats Gas Meters by mxmstryo (Flickr) Gauge Stock by Andrew Taylor (Flickr) Counter by Marcin Wichary (Flickr) Histogram of legos by color frequency by Jeff Boulter (Flickr) pomodoro timers by Paul Downey (Flickr) Zombie Apocalypse by pasukaru76