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As many startups of the last decade, SoundCloud’s architecture started as a Ruby-on-Rails monolith, which later had to be broken into microservices to cope with the growing size and complexity of the site. The microservices initially ran on an in-house container management and deployment platform. Recently, the company has started to migrate to Kubernetes. With the introduction of microservices, the existing conventional monitoring setup failed both conceptually and in terms of scalability. Thus, starting in 2012, SoundCloud invested heavily into the development of the open-source monitoring system Prometheus, which was designed for large-scale highly dynamic service-oriented architectures. Migrating to Kubernetes, it became apparent that Prometheus and Kubernetes are a match made in open-source heaven. The talk will demonstrate the current Prometheus setup at SoundCloud, monitoring a large-scale Kubernetes cluster.
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This PPT covers all 5 core components of managing software product development: 1. Software product management. 2. Projects/Tasks, including scrum 3. Management of code. 4. Management of technology. 5. Management of People.
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In the dynamic landscape of energy storage, choosing the right battery pack is a critical decision that significantly impacts performance, efficiency, and overall product design. This webinar aims to unravel the complexities surrounding standard and custom battery packs (primarily lithium), providing you with a comprehensive understanding to make informed decisions. We'll embark on a journey to explore the fundamental distinctions between standard off-the-shelf battery packs and their bespoke counterparts tailored to specific applications. We will delve into the nuance of what is defined as a standard battery pack along with its benefits, limitations, and how it caters to broad market needs. Simultaneously, we will dissect the world of custom battery packs, diving into the advantages they offer in terms of precise energy requirements, form factors, and unique design considerations. Whether you are a product designer, engineer, or industry professional, this webinar is designed to equip you with the knowledge necessary to navigate the intricate terrain of battery pack selection. Join us for this webinar as we navigate through the intricacies of standard and custom battery packs, empowering you to make strategic decisions that align with your project goal. For more information on our battery pack solutions, visit https://www.epectec.com/batteries/.
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Double field revolving theory: According to the double field revolving theory, we can resolve any alternating quantity into two components. Each component has a magnitude equal to half of the maximum magnitude of the alternating quantity, and both these components rotate in the opposite direction to each other
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
BhangaleSonal
About 8086 microprocessor minimum mode and maximum mode.
Minimum and Maximum Modes of microprocessor 8086
Minimum and Maximum Modes of microprocessor 8086
anil_gaur
N-Grade deals with the maintenance of university, department, faculty, student information within the university. N-Grade is an automation system, which is used to store the department, faculty, student, courses and information of a university. Starting from registration of a new student in the university, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTRANET based campus wide portal. It collects related information from all the departments of an organization and maintains files, which are used to generate reports in various forms to measure individual and overall performance of the students.
University management System project report..pdf
University management System project report..pdf
Kamal Acharya
The purpose of Integrated Test Rig is to assess performance of Fuel Cooled Oil Cooler (FCOC), HP Pump & Oil Pump prior to fitment on Aero Engine. The design of rig is such that it can cater to individual testing of individual LRU or integrated testing of all the LRU’s installed together (in combination). The pumps under test shall be mounted directly on the high-speed electric motor flange through adapter quill shaft assembly. Variable speed drives shall be provided for all the pumps under testing. The rig shall cater for real time monitoring and recording of performance parameters. KEY FEATURES Key features of this Rig are as follows: - 1. It has separate power packs for both the fluids i.e. ATF Power pack for ATF Fluid, OX Power Pack for OX-27 Oil. 2. This Rig is designed for high temperature Application. It works on 200 deg. Celsius. 3. Two Dedicated heating systems have been integrated with this Rig to raise the temperature of OX-27 Oil. 4. In both Power Packs insulated tanks are being used, which is good for safe operation and safety of operator. 5. This rig is designed in such a way, that it’s OX power pack is in its left side, ATF Power pack is in right Side and test bed is in Centre. 6. A big Test bed have been provided for smooth testing of UUT’s. 7. All piping is being insulated for safe operation and maintenance. 8. It comprises with DAQ System. 9. This rig can test several components at a time, together or separately. Application All the UUT’s are mounted on HTFE-25 Engine after successful performance testing of those. Application of this Rig are as follows: - 1. One of its application is to test LP Pump of HTFE-25. It is designed for functional testing of LP Pump. a. Free Flow Test b. Load Test 2. It is used to test HP Pump of HTFE-25. It is designed for functional testing of HP Pump. a. Free Flow Test b. Load Test 3. It is used to test Oil Pump of HTFE-25. It is designed for functional testing of Oil Pump. 4. It is used to test FCOC of HTFE-25.
Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
Neometrix_Engineering_Pvt_Ltd
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Work-Permit-Receiver-in-Saudi-Aramco.pptx
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notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
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This presentation takes a deep dive into the methodologies of HAZID and HAZOP, two cornerstone risk assessment techniques in the oil and gas industry. Over 12 slides, we compare the structured approaches of both HAZID and HAZOP, detail their individual steps, and discuss their benefits and drawbacks. The aim is to provide professionals with concise insight to make informed decisions about which method suits their project's needs. By the end, viewers will have understood each method's strategic value in the pursuit of workplace safety and efficiency.
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
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Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
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notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Prometheus
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Prometheus A next-genera1on monitoring system
2.
History • Started in 2012 by ex-Google Site Reliability Engineers • Wri?en in Go •
Inspired by Google’s Borgmon – Borgmon monitors Borg • Public announcement in January 2015 h?p://www.slideshare.net/FabianReinartz/prometheus-a-next-gen-monitoring-system-3
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Features • pull architecture – easy to scall out • mul1 dimensional data model •
powerful query language
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pull architecture h?ps://prometheus.io/docs/introduc1on/overview/
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Demo • node_exporter(machine metrics) • prometheus server configura1on
6.
mul1 dimensional data model • metric types – counter – gauge – histogram – summary h?ps://prometheus.io/docs/concepts/metric_types/
7.
h?p://www.boxever.com/the-power-of-mul1-dimensional-labels-in-prometheus Counter Java Code Example
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Counter Metric Example ... h?p_response_status_total{status="200”} @1460708848.148 277504 h?p_response_status_total{status=“200”} @1460708843.148 277503 h?p_response_status_total{status="200”} @1460708838.148 277502 h?p_response_status_total{status=“200”} @1460708833.148 277501 ... metric name label name 1mestamp
sample value
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How to handle counter metric • Do you use reset? • Do you use moving average? h?p://www.robustpercep1on.io/how-does-a-prometheus-counter-work/ No! use rate/irate/increase func1on! rate(h?p_response_status_total[1m])
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powerful query language sum by(status) ( rate(h?p_response_status_total [1m])) ) ALERT DiskWillFillIn4Hours IF predict_linear(node_filesystem_free{job='node'}[1h], 4*3600) < 0 FOR 5m LABELS { severity="page" } h?p://www.robustpercep1on.io/reduce-noise-from-disk-space-alerts/
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Demo(access log) • fluent-plugin-prometheus • prometheus query •
grafana graph
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