As your service footprint grows, adding traffic control capabilities beyond stock solutions like kube-proxy becomes critical. Envoy provides fine grained routing control, load shedding, and metrics that help you scale your environment smoothly. We'll walk through several traffic control strategies using Envoy.
While developing distributed apps, most teams are focused in delivery of business value. Sometimes, after production deployment, a few moments later, we realize that exceptions arise, time-outs blow. The system need more fault tolerance. Presentations overviews a few patterns and principles of fault and latency tolerance for such systems.
Testing Hyper-Complex Systems: What Can We Know? What Can We Claim?TechWell
Throughout history, people have built systems of dramatically increasing complexity. In simpler systems, defects at the micro level are mitigated by the macro level structure. In complex systems, failures at the micro level cannot be compensated for at a higher level, often with catastrophic results. Lee Copeland says that we are building hyper-complex computer systems—so complex that faults can create totally unpredictable behaviors. For example, systems based on the service-oriented architecture (SOA) model can be dynamically composed of reusable services of unknown quality, created by multiple organizations, and communicating through many technologies across the unpredictable Internet. Lee explains that claims about quality require knowledge of test “coverage,” which is an unknowable quantity in hyper-complex systems. Join Lee for a look at your testing future as he describes new approaches needed to measure test coverage in these hyper-complex systems and lead your organization to better quality—despite the challenges.
The document discusses Box's data infrastructure and how they leverage tools like Hadoop and ElasticSearch. It outlines Box's vision of allowing users to share and access content from any device. It then details Box's analytics infrastructure and how they implemented a self-serve system using Hadoop to enable proactive operations, data governance, and DevOps collaboration. This system provides insights into queries and applications, detects inefficiencies, enforces data retention, and facilitates data-driven discussions between developers and operations.
Go Reactive: Event-Driven, Scalable, Resilient & Responsive Systems (Soft-Sha...mircodotta
The document discusses the principles of reactive applications including responsiveness, resilience, elasticity, and bounded latency. It advocates taking an asynchronous and message-driven approach by distributing work across nodes, handling failures through timeouts and supervision, and scaling capacity up and down to handle changing loads. This results in applications that can respond quickly even in the face of failures or load changes. Developers are encouraged to embrace asynchrony and loose coupling between components to build reactive systems.
Global Power Supply is a leading provider of integrated power solutions. The document provides information on GPS's executive leadership team, account managers, and engineers. It outlines the services GPS offers including turnkey solutions, project management, equipment from multiple brands, large in-stock inventory, and nationwide support. The document describes GPS's focus on customer service, business integrity, and environmental stewardship. It provides examples of GPS customers and highlights key projects. In summary, the document introduces Global Power Supply as a full-service provider of power generation and UPS equipment, solutions, and services.
A rough and researchy presentation where I tried out some new material in front of a local audience. Skipped the usual introduction and talked about some of the problems people run into when they do microservices and miss a few things. More refined version of this talk to be shown at O'Reilly Software Architecture Conference in New York in April.
Real World Problem Solving Using Application Performance Management 10CA Technologies
CA Application Performance Management 10 dramatically reduces the time needed to find and solve app problems. In this session you will learn about common problem-solving techniques used by experts to solve real-world app problems. You will get a chance to put these techniques to the test in a hands-on lab that mimics an interesting application performance problem.
For more information, please visit http://cainc.to/Nv2VOe
As your service footprint grows, adding traffic control capabilities beyond stock solutions like kube-proxy becomes critical. Envoy provides fine grained routing control, load shedding, and metrics that help you scale your environment smoothly. We'll walk through several traffic control strategies using Envoy.
While developing distributed apps, most teams are focused in delivery of business value. Sometimes, after production deployment, a few moments later, we realize that exceptions arise, time-outs blow. The system need more fault tolerance. Presentations overviews a few patterns and principles of fault and latency tolerance for such systems.
Testing Hyper-Complex Systems: What Can We Know? What Can We Claim?TechWell
Throughout history, people have built systems of dramatically increasing complexity. In simpler systems, defects at the micro level are mitigated by the macro level structure. In complex systems, failures at the micro level cannot be compensated for at a higher level, often with catastrophic results. Lee Copeland says that we are building hyper-complex computer systems—so complex that faults can create totally unpredictable behaviors. For example, systems based on the service-oriented architecture (SOA) model can be dynamically composed of reusable services of unknown quality, created by multiple organizations, and communicating through many technologies across the unpredictable Internet. Lee explains that claims about quality require knowledge of test “coverage,” which is an unknowable quantity in hyper-complex systems. Join Lee for a look at your testing future as he describes new approaches needed to measure test coverage in these hyper-complex systems and lead your organization to better quality—despite the challenges.
The document discusses Box's data infrastructure and how they leverage tools like Hadoop and ElasticSearch. It outlines Box's vision of allowing users to share and access content from any device. It then details Box's analytics infrastructure and how they implemented a self-serve system using Hadoop to enable proactive operations, data governance, and DevOps collaboration. This system provides insights into queries and applications, detects inefficiencies, enforces data retention, and facilitates data-driven discussions between developers and operations.
Go Reactive: Event-Driven, Scalable, Resilient & Responsive Systems (Soft-Sha...mircodotta
The document discusses the principles of reactive applications including responsiveness, resilience, elasticity, and bounded latency. It advocates taking an asynchronous and message-driven approach by distributing work across nodes, handling failures through timeouts and supervision, and scaling capacity up and down to handle changing loads. This results in applications that can respond quickly even in the face of failures or load changes. Developers are encouraged to embrace asynchrony and loose coupling between components to build reactive systems.
Global Power Supply is a leading provider of integrated power solutions. The document provides information on GPS's executive leadership team, account managers, and engineers. It outlines the services GPS offers including turnkey solutions, project management, equipment from multiple brands, large in-stock inventory, and nationwide support. The document describes GPS's focus on customer service, business integrity, and environmental stewardship. It provides examples of GPS customers and highlights key projects. In summary, the document introduces Global Power Supply as a full-service provider of power generation and UPS equipment, solutions, and services.
A rough and researchy presentation where I tried out some new material in front of a local audience. Skipped the usual introduction and talked about some of the problems people run into when they do microservices and miss a few things. More refined version of this talk to be shown at O'Reilly Software Architecture Conference in New York in April.
Real World Problem Solving Using Application Performance Management 10CA Technologies
CA Application Performance Management 10 dramatically reduces the time needed to find and solve app problems. In this session you will learn about common problem-solving techniques used by experts to solve real-world app problems. You will get a chance to put these techniques to the test in a hands-on lab that mimics an interesting application performance problem.
For more information, please visit http://cainc.to/Nv2VOe
Lyndsay Prewer - Smoothing the continuous delivery path - a tale of two teamsAgile Lietuva
What makes Continuous Delivery easy and what makes it hard? Should it be all Scala + Docker + microservices or is .Net + Windows + monoliths a safer bet? This session compares and contrasts the successful continuous delivery journeys of two completely different cultures. Both achieved weekly releases to Production, but one was a .Net monolith, the other a set of Scala microservices. We’ll explore the lessons learnt by looking at the blockers and accelerators each faced.
This document discusses the need for improved training opportunities in semiconductor equipment maintenance. It outlines that maintenance currently involves extensive down time due to issues like replacing parts without understanding failures, inadequate collection of failure symptoms, and poor record keeping. It provides examples of specific maintenance errors and proposes delivering on-site training to maintenance managers, technicians, and trainers to teach core competencies and troubleshooting skills using their own equipment. This is intended to improve maintenance performance and reduce down time industry-wide.
Hands-On Lab: Learn How to Harness CA Application Performance Management Di...CA Technologies
Operations teams have long sought for a solution that automatically identifies performance problems in their applications without having too many false alerts. In CA Application Performance Management (CA APM) 10, the differential analysis capability uses a technique new to the application performance management market that mirrors the actions a human operator would perform to identify when and where to act to solve performance issues. In this session, you'll learn how this new approach identifies both slow-growing, chronic problems and fast-acting acute ones, with no configuration. You'll also see how differential analysis alerts you to these conditions and automatically captures diagnostic transaction traces for review.
For more information, please visit http://cainc.to/Nv2VOe
Coveros is a company that helps other companies accelerate software delivery using agile methods. It provides consulting services for agile transformations, software development, testing, automation, and security. Coveros stresses the importance of having a delivery pipeline that provides early and rapid feedback while avoiding late surprises. It recommends including various types of testing early in the pipeline such as unit testing, functional testing, security testing, and performance monitoring to determine if a code change is viable for production. Testing should continue to evolve and improve over time.
The webinar covered new features and updates to the Nephele 2.0 bioinformatics analysis platform. Key updates included a new website interface, improved performance through a new infrastructure framework, the ability to resubmit jobs by ID, and interactive mapping file submission. New pipelines for 16S analysis using DADA2 and quality control preprocessing were introduced, and the existing 16S mothur pipeline was updated. The quality control pipeline provides tools to assess data quality before running microbiome analyses through FastQC, primer/adapter trimming with cutadapt, and additional quality filtering options. The webinar emphasized the importance of data quality checks and highlighted troubleshooting tips such as examining the log file for error messages when jobs fail.
Global Power Supply (GPS) is a full service provider of new and used power systems including new and used diesel generators, natural gas generators, custom genset enclosures, UPS power systems, automatic transfer switches (ATS), and electrical switchgear.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
The document discusses how AWS achieves high availability for its cloud services. It describes AWS' approach to reliability, including design goals for individual services, techniques used like throttling and circuit breakers, and how software implementation impacts availability. It also notes that AWS closely monitors services through weekly operations meetings and shares best practices across teams to help prevent outages.
Release the Monkeys ! Testing in the Wild at NetflixGareth Bowles
This document discusses Netflix's use of "chaos monkeys" to deliberately cause failures in their systems to test resiliency. The chaos monkeys include Chaos Monkey which terminates instances, Chaos Gorilla which simulates an availability zone outage, and Chaos Kong which simulates a full region outage. The monkeys help validate redundancy, improve designs to avoid failures, and ensure systems can handle degradation without affecting other services. The chaos testing is released as open source and helps Netflix understand how systems will behave during random failures.
High-throughput and Automated Process Development for Accelerated Biotherapeu...KBI Biopharma
KBI Biopharma has developed high-throughput and automated processes to accelerate biotherapeutic development. This includes establishing a high-throughput process development team utilizing automated equipment and informatics solutions. Analytical case studies demonstrate automation of a residual host cell protein ELISA using a liquid handling robot, reducing analysis time from hours to minutes per sample. A second case study outlines development of a high-throughput size exclusion chromatography method, reducing run time from 30 minutes to 6 minutes while still effectively screening for high molecular weight species. These efforts allow for real-time data generation and monitoring of process development experiments.
Smoothing the continuous delivery path – a tale of two teams - Lyndsay PrewerJAXLondon_Conference
This document discusses best practices for continuous delivery. It describes two teams - a .NET monolith team and a Scala microservices team. The monolith team deploys weekly while the microservices team deploys multiple times per day. The document then outlines best practices for continuous delivery, including healthy continuous integration, testing as an activity, maintaining a "tear drop" shape for test automation, enabling low-cost deployments and rollbacks, and implementing effective metrics and monitoring. It also discusses challenges teams may face and potential accelerators for different environments.
In this session we'll discuss and demonstrate key concepts and design patterns for continuous deployment and integration using technologies like AWS OpsWorks and Chef to enable better control of applications and infrastructures.
A better faster pipeline for software delivery, even in the governmentGene Gotimer
The software delivery pipeline is the process of taking features from developers and getting them delivered to customers. The earliest tests should be the quickest and easiest to run, giving developers the fastest feedback. Successive rounds of testing should increase confidence that the code is a viable candidate for production and that more expensive tests—be it time, effort, cost—are justified. Manual testing should be performed toward the end of the pipeline, leaving computers to do as much work as possible before people get involved. Although it is tempting to arrange the delivery pipeline in phases (e.g., functional tests, then acceptance tests, then load and performance tests, then security tests), this can lead to problems progressing down the pipeline.
In this interactive workshop, Gene Gotimer and Ryan Kenney will discuss how to arrange your pipeline, automated or not, and so each round of tests provides just enough testing to give you confidence that the next set of tests is worth the investment. We'll explore how to get the right types of testing into your pipeline at the right points so that you can determine which builds are viable candidates for production. And we’ll explain some of the experiences we’ve had with clients, especially in the federal government, trying to build out delivery pipelines.
Attendees should be at least roughly familiar with their current delivery process, automated or not, or they should at least have a process in mind. No prior knowledge of DevOps, continuous delivery, or automation is assumed.
Flink Forward Berlin 2018: Wei-Che (Tony) Wei - "Lessons learned from Migrati...Flink Forward
In modern applications of streaming frameworks, stateful streaming is arguably one of the most important usage cases. Flink, as a well-supported streaming framework for stateful streaming, readily helps developers spend less efforts on system deployment and focus more on the business logic. Nevertheless, upgrading from an existing production system to a new one with stateful streaming can still be a challenging task for any development team. In this talk, we will share our experience in migrating an existing system at Appier (an AI-based startup specialized with B2B solutions) to stateful streaming with Flink. We will first discuss how stateful streaming matches our business logic and its potential benefits. Then, we review the obstacles that we have encountered during migration, and present our solutions to conquer them. We hope that our experience and tips shared in this talk hints future users to prepare themselves towards applying Flink in their production systems more painlessly.
More Nines for Your Dimes: Improving Availability and Lowering Costs using Au...Amazon Web Services
Running your Amazon EC2 instances in Auto Scaling groups allows you to improve your application's availability right out of the box. Auto Scaling replaces impaired or unhealthy instances automatically to maintain your desired number of instances (even if that number is one). You can also use Auto Scaling to automate the provisioning of new instances and software configurations as well as to track of usage and costs by app, project, or cost center. Of course, you can also use Auto Scaling to adjust capacity as needed - on demand, on a schedule, or dynamically based on demand. In this session, we show you a few of the tools you can use to enable Auto Scaling for the applications you run on Amazon EC2. We also share tips and tricks we've picked up from customers such as Netflix, Adobe, Nokia, and Amazon.com about managing capacity, balancing performance against cost, and optimizing availability.
Reliability Through Correlation and ColaborationChad Broussard
This document summarizes the development of a reliability program at Phillips 66 that utilizes maintenance, operations, and reliability technologies through correlation and collaboration. It discusses how they formed a reliability team to analyze asset data and complete a gap analysis. They implemented a condition monitoring program focused on rotating equipment using vibration analysis. This included developing mobile vibration testing capabilities and analytical software. The program has yielded significant cost savings through identifying issues early and avoiding costly repairs. It provides examples where vibration analysis identified problems and reduced repair costs. Overall, the program has reduced maintenance costs by millions annually and increased asset reliability.
The DevOps principle of “Shifting Left” promotes testing early in the development cycle, for improved software quality and system health. At the same time, the rise of containerized microservice applications brings a new challenge: services are developed in isolation. It’s common practice that each service is frequently, thoroughly tested—individually. But they don’t get validated together until deploy time (if at all!). In this session, we’ll explore techniques for running high-fidelity integration tests across multiple services, as part of a continuous integration workflow. You'll see a demo that uses Jenkins to provision, test, and tear down self-contained Kubernetes environments that replicate complete production systems. This allows you to run full-system tests as part of every build, safely and cost effectively.
Introduction to Chaos Engineering with Microsoft AzureAna Medina
https://www.gremlin.com/webinars/ce-on-azure/
Join us for a walkthrough on how to get started with Chaos Engineering on Azure. Learn the fundamentals of Chaos Engineering and how to build more reliable applications on Azure.
In this live session, we’ll show you how to get started running experiments on Azure’s managed Kubernetes (AKS) and how to implement continuous Chaos Engineering using Azure Pipelines. Then be sure to stay until the end for live Q&A.
AGENDA
- Learn the history, principles and practice of Chaos Engineering
- How to get started with Chaos Engineering on Azure
- Run chaos experiments to simulate common real-world failures on AKS
- How to implement Chaos Engineering Experiments on Azure Pipelines
In 2014 Todd Wacome delivered this presentation at the Portland Oregon StormCon. The talk focused around stormwater treatment issues and the unveiling of novel approach to stormwater filtration at the catch basin level.
The document provides an overview of reliability centered maintenance (RCM) concepts and process. It discusses the history and principles of RCM, failure patterns, and the RCM process steps. The process involves understanding the operating context and functions of equipment, identifying potential failures and their effects, and determining the most effective maintenance tasks. Understanding failure patterns is important for developing the proper maintenance strategy, such as on-condition tasks, restoration tasks, or redesign tasks. The document uses examples to illustrate RCM concepts.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Lyndsay Prewer - Smoothing the continuous delivery path - a tale of two teamsAgile Lietuva
What makes Continuous Delivery easy and what makes it hard? Should it be all Scala + Docker + microservices or is .Net + Windows + monoliths a safer bet? This session compares and contrasts the successful continuous delivery journeys of two completely different cultures. Both achieved weekly releases to Production, but one was a .Net monolith, the other a set of Scala microservices. We’ll explore the lessons learnt by looking at the blockers and accelerators each faced.
This document discusses the need for improved training opportunities in semiconductor equipment maintenance. It outlines that maintenance currently involves extensive down time due to issues like replacing parts without understanding failures, inadequate collection of failure symptoms, and poor record keeping. It provides examples of specific maintenance errors and proposes delivering on-site training to maintenance managers, technicians, and trainers to teach core competencies and troubleshooting skills using their own equipment. This is intended to improve maintenance performance and reduce down time industry-wide.
Hands-On Lab: Learn How to Harness CA Application Performance Management Di...CA Technologies
Operations teams have long sought for a solution that automatically identifies performance problems in their applications without having too many false alerts. In CA Application Performance Management (CA APM) 10, the differential analysis capability uses a technique new to the application performance management market that mirrors the actions a human operator would perform to identify when and where to act to solve performance issues. In this session, you'll learn how this new approach identifies both slow-growing, chronic problems and fast-acting acute ones, with no configuration. You'll also see how differential analysis alerts you to these conditions and automatically captures diagnostic transaction traces for review.
For more information, please visit http://cainc.to/Nv2VOe
Coveros is a company that helps other companies accelerate software delivery using agile methods. It provides consulting services for agile transformations, software development, testing, automation, and security. Coveros stresses the importance of having a delivery pipeline that provides early and rapid feedback while avoiding late surprises. It recommends including various types of testing early in the pipeline such as unit testing, functional testing, security testing, and performance monitoring to determine if a code change is viable for production. Testing should continue to evolve and improve over time.
The webinar covered new features and updates to the Nephele 2.0 bioinformatics analysis platform. Key updates included a new website interface, improved performance through a new infrastructure framework, the ability to resubmit jobs by ID, and interactive mapping file submission. New pipelines for 16S analysis using DADA2 and quality control preprocessing were introduced, and the existing 16S mothur pipeline was updated. The quality control pipeline provides tools to assess data quality before running microbiome analyses through FastQC, primer/adapter trimming with cutadapt, and additional quality filtering options. The webinar emphasized the importance of data quality checks and highlighted troubleshooting tips such as examining the log file for error messages when jobs fail.
Global Power Supply (GPS) is a full service provider of new and used power systems including new and used diesel generators, natural gas generators, custom genset enclosures, UPS power systems, automatic transfer switches (ATS), and electrical switchgear.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
The document discusses how AWS achieves high availability for its cloud services. It describes AWS' approach to reliability, including design goals for individual services, techniques used like throttling and circuit breakers, and how software implementation impacts availability. It also notes that AWS closely monitors services through weekly operations meetings and shares best practices across teams to help prevent outages.
Release the Monkeys ! Testing in the Wild at NetflixGareth Bowles
This document discusses Netflix's use of "chaos monkeys" to deliberately cause failures in their systems to test resiliency. The chaos monkeys include Chaos Monkey which terminates instances, Chaos Gorilla which simulates an availability zone outage, and Chaos Kong which simulates a full region outage. The monkeys help validate redundancy, improve designs to avoid failures, and ensure systems can handle degradation without affecting other services. The chaos testing is released as open source and helps Netflix understand how systems will behave during random failures.
High-throughput and Automated Process Development for Accelerated Biotherapeu...KBI Biopharma
KBI Biopharma has developed high-throughput and automated processes to accelerate biotherapeutic development. This includes establishing a high-throughput process development team utilizing automated equipment and informatics solutions. Analytical case studies demonstrate automation of a residual host cell protein ELISA using a liquid handling robot, reducing analysis time from hours to minutes per sample. A second case study outlines development of a high-throughput size exclusion chromatography method, reducing run time from 30 minutes to 6 minutes while still effectively screening for high molecular weight species. These efforts allow for real-time data generation and monitoring of process development experiments.
Smoothing the continuous delivery path – a tale of two teams - Lyndsay PrewerJAXLondon_Conference
This document discusses best practices for continuous delivery. It describes two teams - a .NET monolith team and a Scala microservices team. The monolith team deploys weekly while the microservices team deploys multiple times per day. The document then outlines best practices for continuous delivery, including healthy continuous integration, testing as an activity, maintaining a "tear drop" shape for test automation, enabling low-cost deployments and rollbacks, and implementing effective metrics and monitoring. It also discusses challenges teams may face and potential accelerators for different environments.
In this session we'll discuss and demonstrate key concepts and design patterns for continuous deployment and integration using technologies like AWS OpsWorks and Chef to enable better control of applications and infrastructures.
A better faster pipeline for software delivery, even in the governmentGene Gotimer
The software delivery pipeline is the process of taking features from developers and getting them delivered to customers. The earliest tests should be the quickest and easiest to run, giving developers the fastest feedback. Successive rounds of testing should increase confidence that the code is a viable candidate for production and that more expensive tests—be it time, effort, cost—are justified. Manual testing should be performed toward the end of the pipeline, leaving computers to do as much work as possible before people get involved. Although it is tempting to arrange the delivery pipeline in phases (e.g., functional tests, then acceptance tests, then load and performance tests, then security tests), this can lead to problems progressing down the pipeline.
In this interactive workshop, Gene Gotimer and Ryan Kenney will discuss how to arrange your pipeline, automated or not, and so each round of tests provides just enough testing to give you confidence that the next set of tests is worth the investment. We'll explore how to get the right types of testing into your pipeline at the right points so that you can determine which builds are viable candidates for production. And we’ll explain some of the experiences we’ve had with clients, especially in the federal government, trying to build out delivery pipelines.
Attendees should be at least roughly familiar with their current delivery process, automated or not, or they should at least have a process in mind. No prior knowledge of DevOps, continuous delivery, or automation is assumed.
Flink Forward Berlin 2018: Wei-Che (Tony) Wei - "Lessons learned from Migrati...Flink Forward
In modern applications of streaming frameworks, stateful streaming is arguably one of the most important usage cases. Flink, as a well-supported streaming framework for stateful streaming, readily helps developers spend less efforts on system deployment and focus more on the business logic. Nevertheless, upgrading from an existing production system to a new one with stateful streaming can still be a challenging task for any development team. In this talk, we will share our experience in migrating an existing system at Appier (an AI-based startup specialized with B2B solutions) to stateful streaming with Flink. We will first discuss how stateful streaming matches our business logic and its potential benefits. Then, we review the obstacles that we have encountered during migration, and present our solutions to conquer them. We hope that our experience and tips shared in this talk hints future users to prepare themselves towards applying Flink in their production systems more painlessly.
More Nines for Your Dimes: Improving Availability and Lowering Costs using Au...Amazon Web Services
Running your Amazon EC2 instances in Auto Scaling groups allows you to improve your application's availability right out of the box. Auto Scaling replaces impaired or unhealthy instances automatically to maintain your desired number of instances (even if that number is one). You can also use Auto Scaling to automate the provisioning of new instances and software configurations as well as to track of usage and costs by app, project, or cost center. Of course, you can also use Auto Scaling to adjust capacity as needed - on demand, on a schedule, or dynamically based on demand. In this session, we show you a few of the tools you can use to enable Auto Scaling for the applications you run on Amazon EC2. We also share tips and tricks we've picked up from customers such as Netflix, Adobe, Nokia, and Amazon.com about managing capacity, balancing performance against cost, and optimizing availability.
Reliability Through Correlation and ColaborationChad Broussard
This document summarizes the development of a reliability program at Phillips 66 that utilizes maintenance, operations, and reliability technologies through correlation and collaboration. It discusses how they formed a reliability team to analyze asset data and complete a gap analysis. They implemented a condition monitoring program focused on rotating equipment using vibration analysis. This included developing mobile vibration testing capabilities and analytical software. The program has yielded significant cost savings through identifying issues early and avoiding costly repairs. It provides examples where vibration analysis identified problems and reduced repair costs. Overall, the program has reduced maintenance costs by millions annually and increased asset reliability.
The DevOps principle of “Shifting Left” promotes testing early in the development cycle, for improved software quality and system health. At the same time, the rise of containerized microservice applications brings a new challenge: services are developed in isolation. It’s common practice that each service is frequently, thoroughly tested—individually. But they don’t get validated together until deploy time (if at all!). In this session, we’ll explore techniques for running high-fidelity integration tests across multiple services, as part of a continuous integration workflow. You'll see a demo that uses Jenkins to provision, test, and tear down self-contained Kubernetes environments that replicate complete production systems. This allows you to run full-system tests as part of every build, safely and cost effectively.
Introduction to Chaos Engineering with Microsoft AzureAna Medina
https://www.gremlin.com/webinars/ce-on-azure/
Join us for a walkthrough on how to get started with Chaos Engineering on Azure. Learn the fundamentals of Chaos Engineering and how to build more reliable applications on Azure.
In this live session, we’ll show you how to get started running experiments on Azure’s managed Kubernetes (AKS) and how to implement continuous Chaos Engineering using Azure Pipelines. Then be sure to stay until the end for live Q&A.
AGENDA
- Learn the history, principles and practice of Chaos Engineering
- How to get started with Chaos Engineering on Azure
- Run chaos experiments to simulate common real-world failures on AKS
- How to implement Chaos Engineering Experiments on Azure Pipelines
In 2014 Todd Wacome delivered this presentation at the Portland Oregon StormCon. The talk focused around stormwater treatment issues and the unveiling of novel approach to stormwater filtration at the catch basin level.
The document provides an overview of reliability centered maintenance (RCM) concepts and process. It discusses the history and principles of RCM, failure patterns, and the RCM process steps. The process involves understanding the operating context and functions of equipment, identifying potential failures and their effects, and determining the most effective maintenance tasks. Understanding failure patterns is important for developing the proper maintenance strategy, such as on-condition tasks, restoration tasks, or redesign tasks. The document uses examples to illustrate RCM concepts.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
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✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony