Performance Test Automation Framework PresentationMikhael Gelezov
This document discusses problems with manual performance testing such as being time consuming, prone to human errors and high costs. It then describes a performance test automation framework that uses tools like Jenkins, JMeter and Grafana to run performance tests continuously, monitor results in real-time, and generate reports to address these issues. The framework allows scripts to be committed to a repository, triggered by Jenkins for execution across test environments, and results analyzed through live dashboards and detailed reports.
This document discusses the benefits of a top-down approach to monitoring systems compared to a bottom-up approach. It provides examples of companies like Netflix and GitHub that use key performance indicators (KPIs) and high-level metrics to monitor overall system health from the top-down rather than monitoring individual components from the bottom-up. The document also discusses how BigPanda uses a pipeline latency metric as a KPI to monitor the reliability and performance of its unified monitoring dashboard.
This document summarizes how a SaaS company called BigPanda built a mission critical event monitoring system on top of MongoDB. Some key points:
- BigPanda aggregates alerts from various monitoring systems to detect incidents faster. It needed a database that was very fast, reliable, and always available.
- MongoDB was chosen because it could meet the performance and scalability needs. Its schemaless design also made it easy to evolve the data model over time.
- Through optimizations like denormalization, indexing, and lean queries, BigPanda was able to reduce API latency from 500ms to under 20ms and pipeline latency from 2 seconds to under 500ms.
- Atomic and partial updates
Real time operating systems are designed to facilitate real time applications that have strict timing constraints. They use algorithms with statically or dynamically assigned priorities to efficiently manage processes, communication, synchronization, and interrupts within restricted resource budgets. The architecture of an ideal RTOS takes into account the delicate timing requirements, which may involve techniques like monolithic kernels, libraries, virtual machines, or microkernels. Examples of systems that require real time processing include industrial control systems and flight control systems, where tasks must be completed within strict time windows.
This document discusses compliance automation using InSpec. It begins by introducing Christoph Hartmann, the creator of InSpec, and his background. It then discusses drivers for compliance like security and liability. It outlines how InSpec can be used to understand an organization's security stance by performing deep analysis beyond surface checks. The document also discusses how InSpec can help operate at both safety and velocity in the context of digital transformation. It provides examples of how compliance profiles can be used for infrastructure like AWS, Azure, and VMware. Finally, it shares examples of how customers are using InSpec and Chef Compliance for automation at scale.
This document outlines the internal IP addressing schemes and subnets for the Phase 1 of the TCS network. It includes IP addresses for various LAN segments in Cork and Galway as well as VLSM subnets. It also lists interface and subnet mask configurations for routers in Limerick, Cork, Galway and Belfast that will connect the sites. Address pools for dynamic host configuration in Galway and the Cork LAN are also specified.
Adriano Engineering provides an innovative real-time condition monitoring and predictive maintenance system using artificial intelligence. The system collects data from equipment in real-time, uses machine learning to detect failures and classify faults, and generates online reports. It is developed using a sprint methodology over multiple releases to first monitor equipment, then identify persistent faults, and finally detect new faults from logged data. The system architecture includes sensors connected to an on-site data processing system that uploads information to a SQL database and web server for analysis and reporting. This predictive maintenance approach allows for early failure detection and analysis to minimize downtime and maintenance costs.
Performance Test Automation Framework PresentationMikhael Gelezov
This document discusses problems with manual performance testing such as being time consuming, prone to human errors and high costs. It then describes a performance test automation framework that uses tools like Jenkins, JMeter and Grafana to run performance tests continuously, monitor results in real-time, and generate reports to address these issues. The framework allows scripts to be committed to a repository, triggered by Jenkins for execution across test environments, and results analyzed through live dashboards and detailed reports.
This document discusses the benefits of a top-down approach to monitoring systems compared to a bottom-up approach. It provides examples of companies like Netflix and GitHub that use key performance indicators (KPIs) and high-level metrics to monitor overall system health from the top-down rather than monitoring individual components from the bottom-up. The document also discusses how BigPanda uses a pipeline latency metric as a KPI to monitor the reliability and performance of its unified monitoring dashboard.
This document summarizes how a SaaS company called BigPanda built a mission critical event monitoring system on top of MongoDB. Some key points:
- BigPanda aggregates alerts from various monitoring systems to detect incidents faster. It needed a database that was very fast, reliable, and always available.
- MongoDB was chosen because it could meet the performance and scalability needs. Its schemaless design also made it easy to evolve the data model over time.
- Through optimizations like denormalization, indexing, and lean queries, BigPanda was able to reduce API latency from 500ms to under 20ms and pipeline latency from 2 seconds to under 500ms.
- Atomic and partial updates
Real time operating systems are designed to facilitate real time applications that have strict timing constraints. They use algorithms with statically or dynamically assigned priorities to efficiently manage processes, communication, synchronization, and interrupts within restricted resource budgets. The architecture of an ideal RTOS takes into account the delicate timing requirements, which may involve techniques like monolithic kernels, libraries, virtual machines, or microkernels. Examples of systems that require real time processing include industrial control systems and flight control systems, where tasks must be completed within strict time windows.
This document discusses compliance automation using InSpec. It begins by introducing Christoph Hartmann, the creator of InSpec, and his background. It then discusses drivers for compliance like security and liability. It outlines how InSpec can be used to understand an organization's security stance by performing deep analysis beyond surface checks. The document also discusses how InSpec can help operate at both safety and velocity in the context of digital transformation. It provides examples of how compliance profiles can be used for infrastructure like AWS, Azure, and VMware. Finally, it shares examples of how customers are using InSpec and Chef Compliance for automation at scale.
This document outlines the internal IP addressing schemes and subnets for the Phase 1 of the TCS network. It includes IP addresses for various LAN segments in Cork and Galway as well as VLSM subnets. It also lists interface and subnet mask configurations for routers in Limerick, Cork, Galway and Belfast that will connect the sites. Address pools for dynamic host configuration in Galway and the Cork LAN are also specified.
Adriano Engineering provides an innovative real-time condition monitoring and predictive maintenance system using artificial intelligence. The system collects data from equipment in real-time, uses machine learning to detect failures and classify faults, and generates online reports. It is developed using a sprint methodology over multiple releases to first monitor equipment, then identify persistent faults, and finally detect new faults from logged data. The system architecture includes sensors connected to an on-site data processing system that uploads information to a SQL database and web server for analysis and reporting. This predictive maintenance approach allows for early failure detection and analysis to minimize downtime and maintenance costs.
The document outlines the testing and implementation process for a network upgrade at IIS. An initial network test during off-hours will be followed by a final test during normal business hours to fully evaluate performance. Testing will validate goals, technology selections, and service levels while analyzing redundancy, performance, and risks. Users and administrators will be notified in advance of any tests. Installation will involve laying fiber optic cable between branch offices. The designed network aims to ensure security, speed, reliability and scalability. A schedule is provided detailing preparation, planning, design, and implementation over 50 days.
Continuous Delivery in a Legacy Shop - One Step at a Time Coveros, Inc.
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
Continuous Delivery in a Legacy Shop - One Step at a TimeGene Gotimer
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
This document discusses components in real-time systems. It defines real-time systems as those with tight timing constraints where responses must occur within strict deadlines. It describes the components of real-time systems as modular and cohesive software packages that communicate via interfaces. The document outlines a process for developing component-based real-time systems, including top-level design, detailed design, scheduling, worst-case execution time verification, and system implementation and testing. It provides examples of real-time components from the Rubus operating system.
Real-time systems are systems whose specifications include both logical and temporal correctness requirements. They must produce outputs at the right time in addition to producing logically correct outputs. Many embedded systems are real-time systems. Real-time systems have characteristics like being event-driven, having high failure costs, requiring concurrency and reliability. They can be hard real-time systems where all deadlines must be met or soft real-time systems where some missed deadlines are allowed. Real-time operating systems help manage resources and priorities to meet the timing constraints of real-time applications.
The document is a project proposal from Morpheus Systems Integration to expand the warehouse and network infrastructure for The Foland Group. It recommends a phased approach including:
1) Installing a microwave radio link between the new warehouse facilities and main site to connect their networks.
2) Integrating voice and data services at the new sites, including setting up local servers and storage.
3) Upgrading applications like inventory management and implementing a new time tracking system across all sites.
The total estimated cost is $71,700 for the 8-10 week project.
This document discusses fitting Linux device drivers into an analyzable scheduling framework using fixed-priority preemptive scheduling. While progress has been made to make Linux and other operating systems support real-time applications, device drivers need to match analyzable workload models and scheduling policies. The paper reviews the remaining work to apply scheduling theory to account for the effects of device drivers, arguing that some engineering is still needed but the theory is adequate. Larger challenges remain in analyzing I/O scheduling and end-to-end schedulability involving multiple resources.
The presentation from András Temesváry from Booking.com on "The Hourly Network Outage"- as presented on the 13th of April, 2023 at the Site Reliability Engineering NL MeetUp.
Lessons learned in implementing test on-commit for mobile devicesJohan Hoberg
Implementing test-on-commit for mobile devices poses several challenges including long build times due to hardware dependencies, lengthy test execution, ensuring robust test cases and environments, and properly analyzing and storing test results. Lessons learned include starting small, prioritizing test areas, optimizing test execution time, investing in robust test infrastructure, and clearly defining test ownership. Proper resources must be allocated for test maintenance and monitoring to fully realize the benefits of continuous integration.
Clock Synchronization in Distributed SystemsIRJET Journal
This document discusses clock synchronization in distributed systems. It begins by defining distributed systems and noting that clock discrepancies can cause issues. It then discusses the need to resynchronize clocks to account for clock skew and drift. The document outlines several common clock synchronization algorithms, including Cristian's algorithm, the Berkeley algorithm, and the Network Time Protocol. It also discusses logical clocks, like Lamport's clocks and vector clocks, which provide a logical ordering of events. Finally, it briefly introduces election algorithms, like the Bully algorithm and ring algorithm, which are used to select a coordinator process in distributed systems.
This document outlines the steps for designing and implementing a network for the BASIS headquarters. It discusses performing research and extensive planning. The design will include two floors, with the main office on floor 1 and BITM on floor 2. Physical and logical diagrams will be created for each floor. The importance of network design for security and business needs is explained. Advantages of network design include efficient performance, resilience, scalability, and easier collaboration. A disadvantage is that the design may not consider all necessary applications.
The document discusses various types of audit software and tools used by auditors. It describes generalized audit software (GAS) that can automate audit tasks and specialized audit software designed for specific audit objectives. It also covers integrated test facilities, snapshot techniques, data security procedures like backups, replication, and server clusters. The system development life cycle and auditor's role in reviewing each phase is explained.
This document provides an overview of continuous integration (CI) using Drone.IO. It defines CI as a practice of merging code changes into a shared codebase multiple times a day and then automatically checking for errors or broken code. Common CI tools discussed include Travis CI, Drone.IO, Jenkins, and CruiseControl.NET. The document demonstrates setting up and using Drone.IO for a GitHub repository, including writing commands to run for every commit. It also offers tips for handling command failures and adding status badges to documentation.
Waiting is having the automated task execution elapse a certain amount of time before continuing with the next step. It provides some slack between actions performed, in selenium slack between locating an element or any other operation with the element. The wait is mostly used to handle the ElementNotVisibleException exception during load of web page. Waits help a user to troubleshoot issues while re-directing to different web pages by refreshing the entire web page and re-loading the new web elements. At times there can be Ajax calls as well. Thus, a time lag can be seen while reloading the web pages and reflecting the web elements.
https://www.ducatindia.com/javatraining/
Survey of Real Time Scheduling AlgorithmsIOSR Journals
This document summarizes and reviews real-time scheduling algorithms. It discusses both static and dynamic scheduling algorithms for real-time tasks on uniprocessors and multiprocessors. The document reviews algorithms such as Earliest Deadline First, Least Laxity First, and Modified Instantaneous Utilization Factor Scheduling. It concludes that Modified Instantaneous Utilization Factor Scheduling provides better results than previous algorithms in terms of context switching, response time, and CPU utilization for uniprocessor scheduling.
Every month, Sitecore brings together developers from across the North West to share learning's and discuss their experiences of working with the platform.
As Sitecore partners, we’ve been involved with plenty of these meet ups in the past, and so were pleased to not only host, but also present at, the latest user group event.
In July, Computerlovers’ Richard and Ben talked about what it’s like to work with Sitecore in an agile environment whilst adopting a continuous delivery approach.
Continuous Delivery in a Legacy Shop—One Step at a TimeTechWell
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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The document outlines the testing and implementation process for a network upgrade at IIS. An initial network test during off-hours will be followed by a final test during normal business hours to fully evaluate performance. Testing will validate goals, technology selections, and service levels while analyzing redundancy, performance, and risks. Users and administrators will be notified in advance of any tests. Installation will involve laying fiber optic cable between branch offices. The designed network aims to ensure security, speed, reliability and scalability. A schedule is provided detailing preparation, planning, design, and implementation over 50 days.
Continuous Delivery in a Legacy Shop - One Step at a Time Coveros, Inc.
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
Continuous Delivery in a Legacy Shop - One Step at a TimeGene Gotimer
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
This document discusses components in real-time systems. It defines real-time systems as those with tight timing constraints where responses must occur within strict deadlines. It describes the components of real-time systems as modular and cohesive software packages that communicate via interfaces. The document outlines a process for developing component-based real-time systems, including top-level design, detailed design, scheduling, worst-case execution time verification, and system implementation and testing. It provides examples of real-time components from the Rubus operating system.
Real-time systems are systems whose specifications include both logical and temporal correctness requirements. They must produce outputs at the right time in addition to producing logically correct outputs. Many embedded systems are real-time systems. Real-time systems have characteristics like being event-driven, having high failure costs, requiring concurrency and reliability. They can be hard real-time systems where all deadlines must be met or soft real-time systems where some missed deadlines are allowed. Real-time operating systems help manage resources and priorities to meet the timing constraints of real-time applications.
The document is a project proposal from Morpheus Systems Integration to expand the warehouse and network infrastructure for The Foland Group. It recommends a phased approach including:
1) Installing a microwave radio link between the new warehouse facilities and main site to connect their networks.
2) Integrating voice and data services at the new sites, including setting up local servers and storage.
3) Upgrading applications like inventory management and implementing a new time tracking system across all sites.
The total estimated cost is $71,700 for the 8-10 week project.
This document discusses fitting Linux device drivers into an analyzable scheduling framework using fixed-priority preemptive scheduling. While progress has been made to make Linux and other operating systems support real-time applications, device drivers need to match analyzable workload models and scheduling policies. The paper reviews the remaining work to apply scheduling theory to account for the effects of device drivers, arguing that some engineering is still needed but the theory is adequate. Larger challenges remain in analyzing I/O scheduling and end-to-end schedulability involving multiple resources.
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Implementing test-on-commit for mobile devices poses several challenges including long build times due to hardware dependencies, lengthy test execution, ensuring robust test cases and environments, and properly analyzing and storing test results. Lessons learned include starting small, prioritizing test areas, optimizing test execution time, investing in robust test infrastructure, and clearly defining test ownership. Proper resources must be allocated for test maintenance and monitoring to fully realize the benefits of continuous integration.
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https://www.ducatindia.com/javatraining/
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This document summarizes and reviews real-time scheduling algorithms. It discusses both static and dynamic scheduling algorithms for real-time tasks on uniprocessors and multiprocessors. The document reviews algorithms such as Earliest Deadline First, Least Laxity First, and Modified Instantaneous Utilization Factor Scheduling. It concludes that Modified Instantaneous Utilization Factor Scheduling provides better results than previous algorithms in terms of context switching, response time, and CPU utilization for uniprocessor scheduling.
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As Sitecore partners, we’ve been involved with plenty of these meet ups in the past, and so were pleased to not only host, but also present at, the latest user group event.
In July, Computerlovers’ Richard and Ben talked about what it’s like to work with Sitecore in an agile environment whilst adopting a continuous delivery approach.
Continuous Delivery in a Legacy Shop—One Step at a TimeTechWell
Not every continuous delivery (CD) initiative starts with someone saying “Drop everything. We’re going to do DevOps.” Sometimes, you have to grow your process incrementally. And sometimes you don’t set out to grow at all—you are just fixing problems with your process, trying to make things better. Gene Gotimer discusses techniques and the chain of tools he has used to bring a DevOps mindset and CD practices into a legacy environment. Gene discusses how his team started fixing problems and making process improvements in development. From there, they tackled one problem after another, each time making the release a little better and a little less risky. They incrementally brought their practices through other environments until the project was confidently delivering working and tested releases every two weeks. Gene shares their journey and the tools they used to build quality into the product, the releases, and the release process.
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5. Phase 1 is when all
equipment ordering
takes place.
IN HOUSE CONFIGURATION
SCADA architecture
is then meticulously
planned for
seamless
integration with
existing systems.
6. The part that takes
time in Phase 2 is
waiting for
schedules to
coordinate for
onsite
configuration.
ONSITE CONFIGURATION
…either waiting for
a good
maintenance
window or planning
around other
subcontractors.
7. After onsite
integration, it’s time
to thoroughly test
the system.
ONSITE TESTING
A single generator
can take an entire
day, while a battery
system may only
take a few hours.
8. So what does that actually look
like, in terms of timing?
9. Total turnaround time: 5-6 weeks
commissioninghardware ship
drawings
submittal
integration
shipping
to site
in-house
integrationsoftware setup
Example: Small 5-Piece System w/ 20 Monitoring Points
10. Total turnaround time: 3-4 months
commissioning
hardware ship
submittal
integration
shipping
to site
in-house
integration
software setup
Example: Large 50-Piece System
12. Hire a flexible
integrator with
in-house project
managers dedicated
to getting projects
completed on time.
13. Allow your integrator
to participate in
scheduling
conversations.
You’ll avoid important
information getting
miscommunicated
down the line.
14. Set a realistic deadline. Those that manage
your projects should dig into everything
that could possibly impact the schedule
(holidays, subcontractors, extended
timelines).