This document provides an overview of a Design for Reliability (DFR) seminar presented by Mike Silverman of Ops A La Carte LLC. The seminar covers DFR concepts and tools over two days, with sessions on topics like planning for reliability, failure mode analysis, accelerated testing techniques, and root cause analysis. The document includes biographical information about Mike Silverman, the seminar schedule and objectives, an overview of the consulting company Ops A La Carte, and a high-level discussion distinguishing DFR from a "toolbox" approach and outlining the key activities in a structured DFR process.
With the increase in global competition, more and more costumers consider reliability as one of their primary deciding factors, when purchasing new products. Several companies have invested in developing their own Design for Reliability (DFR) processes and roadmaps in order to be able to meet those requirements and compete in today’s market. This presentation will describe the DFR roadmap and how to effectively use it to ensure the success of the reliability program by focusing on the following DFR elements.
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
Accelerated life testing (ALT) is widely used to expedite failures of a product in a short time period for predicting the product’s reliability under normal operating conditions. The resulting ALT data are often characterized by a probability distribution, such as Weibull, Lognormal, Gamma distribution, along with a life-stress relationship. However, if the selected failure time distribution is not adequate in describing the ALT data, the resulting reliability prediction would be misleading. In this talk, we provide a generic method for modeling ALT data which will assist engineers in dealing with a variety of failure time distributions. The method uses Erlang-Coxian (EC) distributions, which belong to a particular subset of phase-type (PH) distributions, to approximate the underlying failure time distributions arbitrarily closely. To estimate the parameters of such an EC-based ALT model, two statistical inference approaches are proposed. First, a mathematical programming approach is formulated to simultaneously match the moments of the EC-based ALT model to the ALT data collected at all test stress levels. This approach resolves the feasibility issue of the method of moments. In addition, the maximum likelihood estimation (MLE) approach is proposed to handle ALT data with type-I censoring. Numerical examples are provided to illustrate the capability of the generic method in modeling ALT data.
Weibull Analysis is an important tool for Reliability Engineering. It can be used verifying the design life at component level, comparing two designs and warranty analysis.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 1. Reliability Definitions
1.Reliability---Time dependent characteristic
2.Failure rate
3.Mean Time to Failure
4.Availability
5.Mean residual life
With the increase in global competition, more and more costumers consider reliability as one of their primary deciding factors, when purchasing new products. Several companies have invested in developing their own Design for Reliability (DFR) processes and roadmaps in order to be able to meet those requirements and compete in today’s market. This presentation will describe the DFR roadmap and how to effectively use it to ensure the success of the reliability program by focusing on the following DFR elements.
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
Accelerated life testing (ALT) is widely used to expedite failures of a product in a short time period for predicting the product’s reliability under normal operating conditions. The resulting ALT data are often characterized by a probability distribution, such as Weibull, Lognormal, Gamma distribution, along with a life-stress relationship. However, if the selected failure time distribution is not adequate in describing the ALT data, the resulting reliability prediction would be misleading. In this talk, we provide a generic method for modeling ALT data which will assist engineers in dealing with a variety of failure time distributions. The method uses Erlang-Coxian (EC) distributions, which belong to a particular subset of phase-type (PH) distributions, to approximate the underlying failure time distributions arbitrarily closely. To estimate the parameters of such an EC-based ALT model, two statistical inference approaches are proposed. First, a mathematical programming approach is formulated to simultaneously match the moments of the EC-based ALT model to the ALT data collected at all test stress levels. This approach resolves the feasibility issue of the method of moments. In addition, the maximum likelihood estimation (MLE) approach is proposed to handle ALT data with type-I censoring. Numerical examples are provided to illustrate the capability of the generic method in modeling ALT data.
Weibull Analysis is an important tool for Reliability Engineering. It can be used verifying the design life at component level, comparing two designs and warranty analysis.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 1. Reliability Definitions
1.Reliability---Time dependent characteristic
2.Failure rate
3.Mean Time to Failure
4.Availability
5.Mean residual life
Introduction to Reliability Centered MaintenanceDibyendu De
Introduces Reliability Centered Maintenance, strategies employed, formulation of effective maintenance plan, reduction of consequences of failures and failure rate.
Design for reliability (DFR) is an industry-wide practice and a philosophy of considering reliability in an early stage of product design and development, to achieve a highly-reliable product while with sustainable cost. Physical of Failure (PoF) is recognized as a key approach of implementing DFR in a product design and development process. The author will present a case study to illustrate predicting and identifying product failure early in the design phase with the help of a quantitative PoF model based analysis tool.
Webinar decision-making - Part 3: KPI ManagementStork
Part 3 of the webinar Decision Making by Stork. In this third part we talk about KPI management:
Which KPI's are needed for the right interventions?
Making choices and making the right decisions is decisive for success, also in asset management. Postponing decisions or making incorrect decisions, for example due to complexity or lack of data, has a major impact on your team and your results. You too have to deal with this on a daily basis.
Timely making the right decisions is therefore the subject of a three-part webinar about decision-making in asset management.
This seminar session provides an overview of major aspects of reliability engineering, including general introduction of reliability engineering (definition of reliability, function of reliability engineering, a brief history of reliability, etc.), reliability basics (metrics used in reliability, commonly-used probability distributions in reliability, bathtub curve, reliability demonstration test planning, confidence intervals, Bayesian statistics application in reliability, strength-stress interference theory, etc.), accelerated life testing (ALT) (types of ALT, Arrhenius model, inverse power law model, Eyring model, temperature-humidity model, etc.), reliability growth (reliability-based growth models, MTBF-based growth model, etc.), systems reliability & availability (reliability block diagram, non-repairable or repairable systems, reliability modeling of series systems, parallel systems, standby systems, and complex systems, load sharing reliability, reliability allocation, system availability, Monte Carlo simulation, etc.), and degradation-based reliability (introduction of degradation-based reliability, difference between traditional reliability and degradation-based reliability, etc.).
When working for Petrobras at PRSI (Pasadena Refining System Inc.) I had this opportunity to share my experience as a Maintenance Manager in Brazil with PRSI operators and maintenance crew.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Failure Mode & Effects Analysis (FMEA) is a step-by-step approach for identifying all possible failures in a design, a manufacturing or assembly process, or a product or service. The purpose of the FMEA is to take actions to eliminate or reduce failures, starting with the highest-priority ones. FMEA also documents current knowledge and actions about the risks of failures, for use in continuous improvement.
In this training presentation, you can teach your employees on the proper steps to construct an FMEA for a design or process, and then implement action plans to eliminate or reduce the risks of potential failures.
LEARNING OBJECTIVES
1. Understand what an FMEA is, why it is used, and when can it be deployed
2. Understand the definitions, scoring system and calculations used in an FMEA
3. Learn the steps to developing an FMEA and the pitfalls to avoid
CONTENTS
1. Introduction to FMEA
2. FMEA: Definitions, Scoring System & Calculations
3. FMEA Procedure
4. FMEA Example
Failure Mode and Effect Analysis (FMEA) Manual.
- The role and function of FMEA.
- Concepts and techniques of Design FMEA and how to apply it.
- Concepts and techniques of Process FMEA and how to apply it.
- The role and function of FTA.
- Concepts of Zero Quality Control and Mistake Proofing and its implications for FMEA.
A risk assessment and management process that is focused on loss of containment of pressurized equipment in processing facilities due to material deterioration. These risks are managed primarily through equipment inspection.
Webinar | APM Best Practices - Effectively managing the safety lifecycleStork
Effectively managing the safety lifecycle requires teamwork between multiple disciplines, departments and companies, but it shouldn’t require multiple solutions. See how you can consolidate the entire safety lifecycle into a streamlined solution ensuring risk is reduced, instrumented systems are available and compliance requirements are met. The “cradle to grave” lifecycle approach that is enabled by the APM Safety work process provides visibility across the organization to what teams are doing, and how well their doing it.
In this third webinar in a series about APM, Stork, SOCAR Turkey and GE Digital share their insights on process safety best practices, from various perspectives: the process, the solution and the culture.
Over the past twenty years, Mary Thorn has had the opportunity to work at many startups, creating several QA/test departments from scratch. For the past ten years, she has done this in agile software companies. Recently Mary moved from leading small agile test organizations to leading a large agile test organization. She has learned how to lead agile testers and agile testing in large contexts. Mary takes you through what she has learned, identifies the keys to transitioning your test organization as it grows, and discusses the techniques required to lead it through the changes. Agile testing is difficult, and training your testers to be consistent and interchangeable across large scale agile teams is even more difficult. And still more difficult is test automation at scale. Mary shares her experience in creating an automation strategy that works in a large scale context. Join Mary as she discusses her learnings from leading large agile test organizations.
Mary Thorn has had the opportunity in the past twenty years to work at many startups, creating several QA/test departments from scratch. For the past ten years, she has done this in agile software companies. Recently Mary moved from leading small agile test organizations to leading a large agile test organization where she has learned how to lead agile testers and agile testing in large contexts. Mary takes you through what she has learned, identifies the keys to transitioning your test organization as it grows, and discusses the techniques required to lead it through the changes. Agile testing is difficult; training your testers to be consistent and interchangeable across large scale agile teams is even more difficult; and still more difficult is test automation at scale. Join Mary as she shares her experience in creating an automation strategy that works in a large scale context and lessons learned from leading a large agile test organization.
Introduction to Reliability Centered MaintenanceDibyendu De
Introduces Reliability Centered Maintenance, strategies employed, formulation of effective maintenance plan, reduction of consequences of failures and failure rate.
Design for reliability (DFR) is an industry-wide practice and a philosophy of considering reliability in an early stage of product design and development, to achieve a highly-reliable product while with sustainable cost. Physical of Failure (PoF) is recognized as a key approach of implementing DFR in a product design and development process. The author will present a case study to illustrate predicting and identifying product failure early in the design phase with the help of a quantitative PoF model based analysis tool.
Webinar decision-making - Part 3: KPI ManagementStork
Part 3 of the webinar Decision Making by Stork. In this third part we talk about KPI management:
Which KPI's are needed for the right interventions?
Making choices and making the right decisions is decisive for success, also in asset management. Postponing decisions or making incorrect decisions, for example due to complexity or lack of data, has a major impact on your team and your results. You too have to deal with this on a daily basis.
Timely making the right decisions is therefore the subject of a three-part webinar about decision-making in asset management.
This seminar session provides an overview of major aspects of reliability engineering, including general introduction of reliability engineering (definition of reliability, function of reliability engineering, a brief history of reliability, etc.), reliability basics (metrics used in reliability, commonly-used probability distributions in reliability, bathtub curve, reliability demonstration test planning, confidence intervals, Bayesian statistics application in reliability, strength-stress interference theory, etc.), accelerated life testing (ALT) (types of ALT, Arrhenius model, inverse power law model, Eyring model, temperature-humidity model, etc.), reliability growth (reliability-based growth models, MTBF-based growth model, etc.), systems reliability & availability (reliability block diagram, non-repairable or repairable systems, reliability modeling of series systems, parallel systems, standby systems, and complex systems, load sharing reliability, reliability allocation, system availability, Monte Carlo simulation, etc.), and degradation-based reliability (introduction of degradation-based reliability, difference between traditional reliability and degradation-based reliability, etc.).
When working for Petrobras at PRSI (Pasadena Refining System Inc.) I had this opportunity to share my experience as a Maintenance Manager in Brazil with PRSI operators and maintenance crew.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Failure Mode & Effects Analysis (FMEA) is a step-by-step approach for identifying all possible failures in a design, a manufacturing or assembly process, or a product or service. The purpose of the FMEA is to take actions to eliminate or reduce failures, starting with the highest-priority ones. FMEA also documents current knowledge and actions about the risks of failures, for use in continuous improvement.
In this training presentation, you can teach your employees on the proper steps to construct an FMEA for a design or process, and then implement action plans to eliminate or reduce the risks of potential failures.
LEARNING OBJECTIVES
1. Understand what an FMEA is, why it is used, and when can it be deployed
2. Understand the definitions, scoring system and calculations used in an FMEA
3. Learn the steps to developing an FMEA and the pitfalls to avoid
CONTENTS
1. Introduction to FMEA
2. FMEA: Definitions, Scoring System & Calculations
3. FMEA Procedure
4. FMEA Example
Failure Mode and Effect Analysis (FMEA) Manual.
- The role and function of FMEA.
- Concepts and techniques of Design FMEA and how to apply it.
- Concepts and techniques of Process FMEA and how to apply it.
- The role and function of FTA.
- Concepts of Zero Quality Control and Mistake Proofing and its implications for FMEA.
A risk assessment and management process that is focused on loss of containment of pressurized equipment in processing facilities due to material deterioration. These risks are managed primarily through equipment inspection.
Webinar | APM Best Practices - Effectively managing the safety lifecycleStork
Effectively managing the safety lifecycle requires teamwork between multiple disciplines, departments and companies, but it shouldn’t require multiple solutions. See how you can consolidate the entire safety lifecycle into a streamlined solution ensuring risk is reduced, instrumented systems are available and compliance requirements are met. The “cradle to grave” lifecycle approach that is enabled by the APM Safety work process provides visibility across the organization to what teams are doing, and how well their doing it.
In this third webinar in a series about APM, Stork, SOCAR Turkey and GE Digital share their insights on process safety best practices, from various perspectives: the process, the solution and the culture.
Over the past twenty years, Mary Thorn has had the opportunity to work at many startups, creating several QA/test departments from scratch. For the past ten years, she has done this in agile software companies. Recently Mary moved from leading small agile test organizations to leading a large agile test organization. She has learned how to lead agile testers and agile testing in large contexts. Mary takes you through what she has learned, identifies the keys to transitioning your test organization as it grows, and discusses the techniques required to lead it through the changes. Agile testing is difficult, and training your testers to be consistent and interchangeable across large scale agile teams is even more difficult. And still more difficult is test automation at scale. Mary shares her experience in creating an automation strategy that works in a large scale context. Join Mary as she discusses her learnings from leading large agile test organizations.
Mary Thorn has had the opportunity in the past twenty years to work at many startups, creating several QA/test departments from scratch. For the past ten years, she has done this in agile software companies. Recently Mary moved from leading small agile test organizations to leading a large agile test organization where she has learned how to lead agile testers and agile testing in large contexts. Mary takes you through what she has learned, identifies the keys to transitioning your test organization as it grows, and discusses the techniques required to lead it through the changes. Agile testing is difficult; training your testers to be consistent and interchangeable across large scale agile teams is even more difficult; and still more difficult is test automation at scale. Join Mary as she shares her experience in creating an automation strategy that works in a large scale context and lessons learned from leading a large agile test organization.
Introduction to Reliability and Maintenance Management - PaperAccendo Reliability
Paper for the tutorial presented at the 2014 RAMS conference.
A basic introduction to reliability and maintenance management with a focus on basic tools, approaches and creating value.
We outline a basic structure to move your organization to a proactive program.
Digital Transformation: Beyond the Buzz(words): Go to the Cloud: How Product ...Aggregage
Leading a digital transformation inevitably means considering the Cloud for your products. Cloud offers great flexibility, increased security, and more innovation opportunities. However, moving your product to the Cloud is not a simple lift-and-shift exercise. It involves re-envisioning your product and your platform to identify an effective technique. As the product manager, you need to know the best way to lead the team in this transformation while avoiding common pitfalls. In this discussion, we will focus on what you need to know to ensure a successful digital transformation to the cloud.
ARC's Paula Hollywood Sustain Reliability Presentation @ ARC Industry Forum 2010ARC Advisory Group
ARC's Paula Hollywood Sustain Reliability Presentation @ ARC Industry Forum 2010 in Orlando, FL.
How Do You Sustain Reliability?
Asset Performance Management (APM) Technology and Solutions Landscape
Rate the effectiveness of your reliability program in improving equipment reliability
Preventive Maintenance Most Effective
Software QA Testing Company India Presentation - AAPNA InfotechAapna Infotech
We architect, build and maintain robust enterprise applications using modern technologies and tools, while maintaining strict coding, software QA and documentation standards.
Reliability and Maintenance Conference - 7-9 April 2014, Al Khobar, Kingdom o...Ricky Smith CMRP, CMRT
Despite the best efforts and precautions, equipment
failures do occur hampering the equipment performance
and adversly impacting the profitibility of the business.
Rotating Equipment Reliability and Maintenance
Conference aims to create a learning platform for all the
maintenance and reliability professionals to share the
best maintenance practices and discuss the strategies to
improve reliability.
This three day conference will cover all aspects of
reliability and maintenance including reliability centered
maintenance, availability, machinery failures, risk
assessment, spare parts optimization, techniques to
facilitate equipment maintenance, root cause analysis,
condition monitoring, maintenance planning and
scheduling.
To be most effective, test managers must develop and use metrics to help direct the testing effort and make informed recommendations about the software’s release readiness and associated risks. Because one important testing activity is to “measure” the quality of the software, test managers must measure the results of both the development and testing processes. Collecting, analyzing, and using metrics is complicated because many developers and testers are concerned that the metrics will be used against them. Join Rick Craig as he addresses common metrics—measures of product quality, defect removal efficiency, defect density, defect arrival rate, and testing status. Learn the guidelines for developing a test measurement program, rules of thumb for collecting data, and ways to avoid “metrics dysfunction.” Rick identifies several metrics paradigms—including Goal-Question-Metric—and discusses the pros and cons of each. Delegates are urged to bring their metrics problems and issues for use as discussion points.
Conquer the Murky Waters of Test AutomationTechWell
A solid test automation implementation is key to any foray into continuous delivery. Although the test automation waters may look peaceful and pristine, anyone who has jumped in to automate testing complex systems has found the waters to be troubled and murky. Tests take too long to run, they periodically break for mysterious reasons, or they fail to catch business critical problems. Over time this leads to automated tests becoming outdated and irrelevant. Brian Saylor has studied a number of test automation projects—and far too many lines of test code—to identify the fundamental concepts that are frequently missing. The test automation quagmire can be conquered by applying specific concepts. Brian uses a complex large scale website as an example and walks through identifying automated test goals, what tests should be automated and more importantly which should not, how to prioritize a test backlog, and how to identify good test code. Come away with practical fundamentals and coding guidelines to keep your own test automation project from sinking beneath the murky waters.
Reaching for Your Quality Stretch Goals: Testing at Realtor.comKlaus Salchner
A/B Testing
If you are not familiar yet, an introduction to A/B testing and how you can leverage this approach to truly measure customer impact before and after a change. It's a practice highly leveraged in the e-commerce and cloud space to truly measure the impact of a change and be able to iterate through it till you see the desired outcome.
Where in your stack to invest in test automation
This short talk will explain in which layer to invest in test automation and the pros and cons. Too many teams still invest heavily in automated UI testing which then results in large test automation suites once the platform grows while still not being able to catch critical quality issues before they reach customers.
Testing for reliability, resilience and recovery
Your customer experience is also impacted by how reliable your application is. How do you test for reliability. But also how do you build and test for resilience, as guaranteed reliability is unachievable and the closer you get the costlier it becomes. Lastly how do you test for recovery, so once an outage or partial outage happened how to you recover, and how do you prepare for that recovery.
"ML Services - How do you begin and when do you start scaling?" - Madhura Dud...Grid Dynamics
Dynamic talks SF: So you have heard all the hype around how Machine Learning is going to change the world. But within your business context, where do you start? How do you get leadership buy-in for investment? And how and when you start scaling your ML Services?
In this session, you will walk away with an actionable framework to bootstrap and scale a machine learning services team. You will see the framework in action through an actual 0 to 1 product journey involving deep learning where we delivered value in record speed in-spite of not having a dataset when we started. You will get practical tips on how to make decisions about when and how to scale your capability to scale ML Services and platform. Some of the tips are pretty counterintuitive and revealed themselves with our experience of productizing ML services over the last 5+ years. (Using a diverse range of technologies - Vision, Language, Graph, Anomaly Detection, Search Relevance, Personalization)
Capital One’s highly integrated environment creates many interdependencies for its agile teams. Because these dependencies were not being completed until late in their sprints, Adam Auerbach says that Capital One faced prolonged integration and regression testing phases and did not realize expected improvements in quality or time-to-market. As technology leaders pushed for continuous delivery (CD), testing needed to shift left and occur simultaneously with development. To shift left, the testing community needed to learn basic development skills, including Ruby and Java, to take advantage of advanced automation practices, service virtualization, and the continuous integration (CI) pipeline. Adam shares Capital One’s experience implementing continuous testing and describes its core principles. He explains service virtualization and the CI/CD pipeline and why they are important concepts for testers to understand and leverage. Since continuous testing is not easy and many companies have large organizations of manual testers, Adam provides a learning map that will help organizations plan the transition.
RCM is a process used to identify what Preventive Maintenance or Condition Based Maintenance you need to implement so you get the Reliability you need from your equipment.
Doing Reliability Centered Maintenance (RCM) helps us take care of our equipment. And, taking care of our equipment is very much like taking care of ourselves.
An overview of the basic process to create an ALT using one of 6 different approaches. Slides used for presentation to the ASQ Silicon Valley evening meeting on Nov 15th 2017.
We work on projects to improve reliability. There may not be the field data immediately available. Let’s explore what you can do to improve the overall program while delivering on your project. Specifically, what’s with cost and procurement?
Detailed Information: As a reliability professional we often work with a team focused on improving the reliability of single product or system. We work with the resources and capabilities of the organization. For me a reliability project is one product or line, a program is the entire organization and lifecycle. We bring specific tools and knowledge, yet rely on the overall reliability culture of an organization to be successful
The overall reliability program may or may not have the field data, root cause analysis and other element of information that allow us to effectively solve problems for a specific project. In some cases we have to work to improve the overall program while striving to create a reliable product. Let’s explore what you should do when you are building a reliability model for a new project and would like to use previous reliability history.
If the data is not available what do you do? What are your options? Let’s discuss what happens when the procurement team consistently selects the least expensive and least reliable components. What are your options? You can and should change the way entire departments do business, for the good of the project and the organization. Let’s discuss the scope of your role as a reliability engineer.
This Accendo Reliability webinar originally broadcast on 19 May 2015.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
7. Our Company
is a privately-held professional reliability
engineering firm founded in 2001 and headquartered in Santa
Clara, California with offices in China, India and Singapore.
was named one of the top 10
fastest growing, privately-held companies in
the Silicon Valley in 2006 and 2009 by the
San Jose Business Journal.
is a solid company that has
been profitable every quarter since its
inception due to its outstanding reputation,
customer value and scalable business model.
8. Our Team
is made up of a group of
highly accomplished Reliability Consultants.
Each of our consultants has 15+ years of
Reliability Engineering and Reliability
Management experience in various
industries.
We tap a large network of labs, test facilities,
and talented engineering professionals to
quickly assemble resources to supplement
your organization.
9. • Ops Solutions – Ops provides end-to-end solutions that target the corporate
product reliability objectives
• Ops Individual “A La Carte” Consulting – Ops identifies and solves the
missing key ingredients needed for a fully integrated reliable product
• Ops Training – Ops’ highly specialized leaders and experts in the industry
train others in both standard and customized training seminars
• Ops Testing – Ops’ state-of-the-art
provides comprehensive testing services
10. assists clients in developing and executing any and all elements
of Reliability through the Product Life Cycle.
has the unique ability to assess a product and understand the
key reliability elements necessary to measure/improve product performance
and customer satisfaction.
pioneered “Reliability Integration” – using multiple tools in
conjunction throughout each client’s organization to greatly increase the power
and value of any Reliability Program.