Just as coal miners used canaries as an early-warning sign of mine contamination, you can use canary deployments to test new software releases in your production environment with minimal impact to users. Darren Bathgate details the layers of a canary system and outlines the benefits to your organization.
Building a CI/CD Pipeline for Containers - DevDay Los Angeles 2017Amazon Web Services
What to expect:
- Review continuous integration, delivery, and deployment
- Using Docker images, Amazon ECS, and Amazon ECR for CI/CD
- Deployment strategies with Amazon ECS
- Building Docker container images with AWS CodeBuild
- Orchestrating deployment pipelines with AWS CodePipeline
DockerCon SF 2015 : Reliably shipping containers in a resource rich world usi...Docker, Inc.
Slides from Diptanu Choudhury's talk at DockerCon SF 2015
Talk Description:
Netflix has a complex micro-services architecture that is operated in an active-active manner from multiple geographies on top of AWS. Amazon gives us the flexibility to tap into massive amounts of resources, but how we use and manage those is a constantly evolving and ever-growing task. We have developed Titan to make cluster management, application deployments using Docker and process supervision much more robust and efficient in terms of CPU/memory utilization across all of our servers in different geographies.
Titan, a combination of Docker and Apache Mesos, is an application infrastructure gives us a highly resilient and dynamic PAAS, that is native to public clouds and runs across multiple geographies. It makes it easy for us to manage applications in our complex infrastructure and gives us the ability to make changes in the IAAS layer without impacting developer productivity or sacrificing insight into our production infrastructure.
A scalable and reliable matching service for content based publish subscribe ...somnath goud
CONCLUSION
This paper introduces SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. SREM connects the brokers through a distributed overlay Skip- Cloud, which ensures reliable connectivity among brokers through its multi-level clusters and brings a low routing latency through a prefix routing algorithm. Through a hybrid multi-dimensional space partitioning technique, SREM reaches scalable and balanced clustering of high dimensional skewed subscriptions, and each event is allowed to be matched on any of its candidate servers. Extensive experiments with real deployment based on a CloudStack testbed are conducted, producing results which demonstrate that SREM is effective and practical, and also presents good workload balance, scalability and reliability under various parameter settings.
A scalable and reliable matching service slidesomnath goud
CONCLUSION
This paper introduces SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. SREM connects the brokers through a distributed overlay Skip- Cloud, which ensures reliable connectivity among brokers through its multi-level clusters and brings a low routing latency through a prefix routing algorithm. Through a hybrid multi-dimensional space partitioning technique, SREM reaches scalable and balanced clustering of high dimensional skewed subscriptions, and each event is allowed to be matched on any of its candidate servers. Extensive experiments with real deployment based on a CloudStack testbed are conducted, producing results which demonstrate that SREM is effective and practical, and also presents good workload balance, scalability and reliability under various parameter settings.
Application of Apache Pulsar in Tencent Billing and Tencent Advertising - Pul...StreamNative
Tencent billing and Tencent advertising are two characteristic scenarios under the support of Pulsar. Tencent billing has strict requirements on data consistency, system reliability, scalability, and monitoring.
Tencent Advertising has a large amount of large-message data, and there is a need for offline data synchronization and account reconciliation, and it is more sensitive to the time-consuming message production.
To meet the needs of the business system, the Tencent MQ team has made certain adaptations and improvements on apache pulsar in many ways, for instance the deployment procedures, operation and maintenance tools, and pulsar kernels for different business scenarios.
Tencent MQ Team will share their journal of adopting Pulsar in their billing and advertising scenarios. Besides, some problems they encountered during the process and the improvements on pulsar they have made will also be shared as an example for future Pulsar users.
Building a CI/CD Pipeline for Containers - DevDay Los Angeles 2017Amazon Web Services
What to expect:
- Review continuous integration, delivery, and deployment
- Using Docker images, Amazon ECS, and Amazon ECR for CI/CD
- Deployment strategies with Amazon ECS
- Building Docker container images with AWS CodeBuild
- Orchestrating deployment pipelines with AWS CodePipeline
DockerCon SF 2015 : Reliably shipping containers in a resource rich world usi...Docker, Inc.
Slides from Diptanu Choudhury's talk at DockerCon SF 2015
Talk Description:
Netflix has a complex micro-services architecture that is operated in an active-active manner from multiple geographies on top of AWS. Amazon gives us the flexibility to tap into massive amounts of resources, but how we use and manage those is a constantly evolving and ever-growing task. We have developed Titan to make cluster management, application deployments using Docker and process supervision much more robust and efficient in terms of CPU/memory utilization across all of our servers in different geographies.
Titan, a combination of Docker and Apache Mesos, is an application infrastructure gives us a highly resilient and dynamic PAAS, that is native to public clouds and runs across multiple geographies. It makes it easy for us to manage applications in our complex infrastructure and gives us the ability to make changes in the IAAS layer without impacting developer productivity or sacrificing insight into our production infrastructure.
A scalable and reliable matching service for content based publish subscribe ...somnath goud
CONCLUSION
This paper introduces SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. SREM connects the brokers through a distributed overlay Skip- Cloud, which ensures reliable connectivity among brokers through its multi-level clusters and brings a low routing latency through a prefix routing algorithm. Through a hybrid multi-dimensional space partitioning technique, SREM reaches scalable and balanced clustering of high dimensional skewed subscriptions, and each event is allowed to be matched on any of its candidate servers. Extensive experiments with real deployment based on a CloudStack testbed are conducted, producing results which demonstrate that SREM is effective and practical, and also presents good workload balance, scalability and reliability under various parameter settings.
A scalable and reliable matching service slidesomnath goud
CONCLUSION
This paper introduces SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. SREM connects the brokers through a distributed overlay Skip- Cloud, which ensures reliable connectivity among brokers through its multi-level clusters and brings a low routing latency through a prefix routing algorithm. Through a hybrid multi-dimensional space partitioning technique, SREM reaches scalable and balanced clustering of high dimensional skewed subscriptions, and each event is allowed to be matched on any of its candidate servers. Extensive experiments with real deployment based on a CloudStack testbed are conducted, producing results which demonstrate that SREM is effective and practical, and also presents good workload balance, scalability and reliability under various parameter settings.
Application of Apache Pulsar in Tencent Billing and Tencent Advertising - Pul...StreamNative
Tencent billing and Tencent advertising are two characteristic scenarios under the support of Pulsar. Tencent billing has strict requirements on data consistency, system reliability, scalability, and monitoring.
Tencent Advertising has a large amount of large-message data, and there is a need for offline data synchronization and account reconciliation, and it is more sensitive to the time-consuming message production.
To meet the needs of the business system, the Tencent MQ team has made certain adaptations and improvements on apache pulsar in many ways, for instance the deployment procedures, operation and maintenance tools, and pulsar kernels for different business scenarios.
Tencent MQ Team will share their journal of adopting Pulsar in their billing and advertising scenarios. Besides, some problems they encountered during the process and the improvements on pulsar they have made will also be shared as an example for future Pulsar users.
It's never been easier to containerize your services using Docker and deploy them to Azure using Kubernetes. In this session we will introduce you to the world of containers in Azure. You will learn how to set up continuous deployment with Visual Studio Team Services (VSTS), monitor and scale your containers in Azure, how to build Docker images, run them in Azure, and even handle secrets in Kubernetes clusters.
Kubernetes can be complex to manage at enterprise scale! Cloud provider services like Amazon EKS solves the challenge of bringing up a Kubernetes control plane. However, production Kubernetes requires multi-layer security, access controls, load-balancing, monitoring, logging, governance, secrets management, policy management, and several other considerations. In this fast paced talk, we will cover how enterprises can address each of these areas and discuss best practices to fast track deployments.
Istio: Using nginMesh as the service proxyLee Calcote
With microservices and containers becoming mainstream, container orchestrators provide much of what the cluster (nodes and containers) needs. With container orchestrators' core focus on scheduling, discovery, and health at an infrastructure level, microservices are left with unmet, service-level needs, such as:
- Traffic management, routing, and resilient and secure communication between services
- Policy enforcement, rate-limiting, circuit breaking
- Visibility and monitoring with metrics, logs, and traces
- Load balancing and rollout/canary deployment support
Service meshes provide for these needs. In this session, we will dive into Istio - its components, capabilities, and extensibility. Istio envelops and integrates with other open source projects to deliver a full-service mesh. We'll explore these integrations and Istio's extensibility in terms of choice of proxies and adapters, such as nginMesh.
Kafka on Kubernetes: Does it really have to be "The Hard Way"? (Viktor Gamov ...confluent
When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Michael and Viktor will go through challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from the development of the Confluent Operator for Kubernetes. NOTE: This talk will be delivered with Michael Ng, product manager, Confluent
Weaveworks at AWS re:Invent 2016: Operations Management with Amazon ECSWeaveworks
Alfonso described how Weave open source projects (Weave Net and Weave Scope) can help with networking, visualization, and control for ECS. Specifically, Weave acts as a key communicator for networking containers with its multi-host overlay and additional features (including automatic DNS service discovery and multicast).
Using Microservices Architecture and Patterns to Address Applications Require...Prem Sankar Gopannan
Gives an overview about MEC application requirements and microservice patters. Provides a sample app and application of patterns to better design the MEC app. Provides an overview about state management of MEC app
As more applications are being developed as a set of microservices, containers and platforms such as Kubernetes make many things much easier, but still leave untouched many operational issues such as traffic management and visibility, service authentication, security and policy. Istio, is a new service mesh that attempts to address many of these. We will discuss the architecture of Istio and the benefits it may offer to new microservice-based systems in a multicloud world.
Code Components for Kubernetes
Helm - The package manager for Kubernetes & Draft for containerizing your application.
How to build your container with Draft, manage your Kubernetes applications with Helm. How to make a CI/CD pipeline with nodeless Jenkins and how to monitor your cluster with Heapster.
Autoscaling of workloads in the Kubernetes environment. A slidedeck about Pod and Node autoscaling and the machinery behind it that makes it happen. Few recommendations for Pod and Node autoscaling while implementing it.
CDNs are generally not considered as part of the build pipeline. In this talk, we show why CDNs should be treated like code and how to integrate them into your pipeline.
Making sense of containers, docker and Kubernetes on Azure.Nills Franssens
A presentation for the Belgian Azure User Group (AZUG) on June 26 2018.
Topics:
- Containers
- Docker
- Kubernetes
Sources: https://github.com/NillsF/Azug-Container-Session/
Stop reinventing the wheel with Istio by Mete Atamel (Google)Codemotion
#Codemotion Rome 2018 - Containers provide a consistent environment to run services. Kubernetes help us to manage and scale our container cluster. Good start for a loosely coupled microservices architecture but not enough. How do you control the flow of traffic & enforce policies between services? How do you visualize service dependencies & identify issues? How can you provide verifiable service identities, test for failures? You can implement your own custom solutions or you can rely on Istio, an open platform to connect, manage and secure microservices.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/29ZQmIx.
Adrian Cockcroft discusses success/failure stories of adopting microservices, overviews what’s next with microservices and presents some of the techniques that have led to successful deployments. Filmed at qconnewyork.com.
Adrian Cockcroft works at Battery where he advises the firm and its portfolio companies about technology issues and also assists with deal sourcing and due diligence. He was a founding member of eBay Research Labs, developing advanced mobile applications and even building his own homebrew phone, years before iPhone and Android launched.
Modern Cloud-Native Streaming Platforms: Event Streaming Microservices with K...confluent
Microservices, events, containers, and orchestrators are dominating our vernacular today. As operations teams adapt to support these technologies in production, cloud-native platforms like Cloud Foundry and Kubernetes have quickly risen to serve as force multipliers of automation, productivity and value. Kafka is providing developers a critically important component as they build and modernize applications to cloud-native architecture. This talk will explore:
• Why cloud-native platforms and why run Kafka on Kubernetes?
• What kind of workloads are best suited for this combination?
• Tips to determine the path forward for legacy monoliths in your application portfolio
• Running Kafka as a Streaming Platform on Container Orchestration
It's never been easier to containerize your services using Docker and deploy them to Azure using Kubernetes. In this session we will introduce you to the world of containers in Azure. You will learn how to set up continuous deployment with Visual Studio Team Services (VSTS), monitor and scale your containers in Azure, how to build Docker images, run them in Azure, and even handle secrets in Kubernetes clusters.
Kubernetes can be complex to manage at enterprise scale! Cloud provider services like Amazon EKS solves the challenge of bringing up a Kubernetes control plane. However, production Kubernetes requires multi-layer security, access controls, load-balancing, monitoring, logging, governance, secrets management, policy management, and several other considerations. In this fast paced talk, we will cover how enterprises can address each of these areas and discuss best practices to fast track deployments.
Istio: Using nginMesh as the service proxyLee Calcote
With microservices and containers becoming mainstream, container orchestrators provide much of what the cluster (nodes and containers) needs. With container orchestrators' core focus on scheduling, discovery, and health at an infrastructure level, microservices are left with unmet, service-level needs, such as:
- Traffic management, routing, and resilient and secure communication between services
- Policy enforcement, rate-limiting, circuit breaking
- Visibility and monitoring with metrics, logs, and traces
- Load balancing and rollout/canary deployment support
Service meshes provide for these needs. In this session, we will dive into Istio - its components, capabilities, and extensibility. Istio envelops and integrates with other open source projects to deliver a full-service mesh. We'll explore these integrations and Istio's extensibility in terms of choice of proxies and adapters, such as nginMesh.
Kafka on Kubernetes: Does it really have to be "The Hard Way"? (Viktor Gamov ...confluent
When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Michael and Viktor will go through challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from the development of the Confluent Operator for Kubernetes. NOTE: This talk will be delivered with Michael Ng, product manager, Confluent
Weaveworks at AWS re:Invent 2016: Operations Management with Amazon ECSWeaveworks
Alfonso described how Weave open source projects (Weave Net and Weave Scope) can help with networking, visualization, and control for ECS. Specifically, Weave acts as a key communicator for networking containers with its multi-host overlay and additional features (including automatic DNS service discovery and multicast).
Using Microservices Architecture and Patterns to Address Applications Require...Prem Sankar Gopannan
Gives an overview about MEC application requirements and microservice patters. Provides a sample app and application of patterns to better design the MEC app. Provides an overview about state management of MEC app
As more applications are being developed as a set of microservices, containers and platforms such as Kubernetes make many things much easier, but still leave untouched many operational issues such as traffic management and visibility, service authentication, security and policy. Istio, is a new service mesh that attempts to address many of these. We will discuss the architecture of Istio and the benefits it may offer to new microservice-based systems in a multicloud world.
Code Components for Kubernetes
Helm - The package manager for Kubernetes & Draft for containerizing your application.
How to build your container with Draft, manage your Kubernetes applications with Helm. How to make a CI/CD pipeline with nodeless Jenkins and how to monitor your cluster with Heapster.
Autoscaling of workloads in the Kubernetes environment. A slidedeck about Pod and Node autoscaling and the machinery behind it that makes it happen. Few recommendations for Pod and Node autoscaling while implementing it.
CDNs are generally not considered as part of the build pipeline. In this talk, we show why CDNs should be treated like code and how to integrate them into your pipeline.
Making sense of containers, docker and Kubernetes on Azure.Nills Franssens
A presentation for the Belgian Azure User Group (AZUG) on June 26 2018.
Topics:
- Containers
- Docker
- Kubernetes
Sources: https://github.com/NillsF/Azug-Container-Session/
Stop reinventing the wheel with Istio by Mete Atamel (Google)Codemotion
#Codemotion Rome 2018 - Containers provide a consistent environment to run services. Kubernetes help us to manage and scale our container cluster. Good start for a loosely coupled microservices architecture but not enough. How do you control the flow of traffic & enforce policies between services? How do you visualize service dependencies & identify issues? How can you provide verifiable service identities, test for failures? You can implement your own custom solutions or you can rely on Istio, an open platform to connect, manage and secure microservices.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/29ZQmIx.
Adrian Cockcroft discusses success/failure stories of adopting microservices, overviews what’s next with microservices and presents some of the techniques that have led to successful deployments. Filmed at qconnewyork.com.
Adrian Cockcroft works at Battery where he advises the firm and its portfolio companies about technology issues and also assists with deal sourcing and due diligence. He was a founding member of eBay Research Labs, developing advanced mobile applications and even building his own homebrew phone, years before iPhone and Android launched.
Modern Cloud-Native Streaming Platforms: Event Streaming Microservices with K...confluent
Microservices, events, containers, and orchestrators are dominating our vernacular today. As operations teams adapt to support these technologies in production, cloud-native platforms like Cloud Foundry and Kubernetes have quickly risen to serve as force multipliers of automation, productivity and value. Kafka is providing developers a critically important component as they build and modernize applications to cloud-native architecture. This talk will explore:
• Why cloud-native platforms and why run Kafka on Kubernetes?
• What kind of workloads are best suited for this combination?
• Tips to determine the path forward for legacy monoliths in your application portfolio
• Running Kafka as a Streaming Platform on Container Orchestration
Simplify and Scale Enterprise Spring Apps in the Cloud | March 23, 2023VMware Tanzu
Event Slides: Simplify and Scale Enterprise Spring Apps in the Cloud
Date: March 23, 2023
Speakers:
Adib Saikali, Principal Solutions Engineer, VMware Tanzu
Asir Selvasingh, Principal Architect, Java on Azure, Microsoft
Modern Cloud-Native Streaming Platforms: Event Streaming Microservices with A...confluent
Microservices, events, containers, and orchestrators are dominating our vernacular today. As operations teams adapt to support these technologies in production, cloud-native platforms like Pivotal Cloud Foundry and Kubernetes have quickly risen to serve as force multipliers of automation, productivity and value.
Apache Kafka® is providing developers a critically important component as they build and modernize applications to cloud-native architecture.
This talk will explore:
• Why cloud-native platforms and why run Apache Kafka on Kubernetes?
• What kind of workloads are best suited for this combination?
• Tips to determine the path forward for legacy monoliths in your application portfolio
• Demo: Running Apache Kafka as a Streaming Platform on Kubernetes
AWS re:Invent 2016: Develop Your Migration Toolkit (ENT312)Amazon Web Services
Learn about some of the most useful and popular tools that you can leverage at various stages of a migration project. These tools will allow your teams to focus on coordinating the migration and automating as many migration activities as possible.
Q&A with Confluent Professional Services: Confluent Service Meshconfluent
No matter whether you are migrating your Kafka cluster to Confluent Cloud, running a cloud-hybrid environment or are in a different situation where data protection and encryption of sensitive information is required, Confluent Service Mesh allows you to transparently encrypt your data without the need to make code changes to you existing applications.
(NET208) Enable & Secure Your Business Apps via the Hybrid Cloud on AWSAmazon Web Services
Learn how to enable and support data migrations in AWS and keep your business applications highly secure, whether you are migrating your IT infrastructure to the cloud, migrating your business applications to the cloud, or simply moving traffic on AWS between different Availability Zones. Our real-world use cases include securing your critical business applications in AWS by deploying vSRX as a perimeter firewall for VPC instances, and enabling secure transport and routing for hybrid cloud deployments using IPSec VPNs on vMX. Session sponsored by Juniper Networks.
The Kubernetes cloud native landscape is vast. Delivering a solution requires managing a puzzling array of required tooling, monitoring, disaster recovery, and other solutions that lie outside the realm of the central cluster. The governing body of Kubernetes, the Cloud Native Computing Foundation, has developed guidance for organizations interested in this topic by publishing the Cloud Native Landscape, but while a list of options is helpful it does not give operations and DevOps professionals the knowledge they need to execute.
Learn best practices of setting up and managing the tools needed around Kubernetes. This presentation covers popular open source options (to avoid lock in) and how one can implement and manage these tools on an ongoing basis. Learn from, and do not repeat, the mistakes of previous centralized platforms.
In this session, attendees will learn:
1. Cloud Native Landscape 101 - Prometheus, Sysdig, NGINX, and more. Where do they all fit in Kubernetes solution?
2. Avoiding the OpenStack sprawl of managing a multiverse of required tooling in the Kubernetes world.
3. Leverage technology like Kubernetes, now available on DC/OS, to provide part of the infrastructure framework that helps manage cloud native application patterns.
A presentation on the Netflix Cloud Architecture and NetflixOSS open source. For the All Things Open 2015 conference in Raleigh 2015/10/19. #ATO2015 #NetflixOSS
The Importance of Testnets in Developing InitVerse dApps.pdfInitVerse Blockchain
InitVerse is a blockchain platform that aims to revolutionize governance models through experimental testnets. By exploring the efficacy of different governance models, InitVerse seeks to uncover valuable insights and lessons that can be applied to real-world scenarios. This article will delve into the importance of trialing InitVerse governance models on experimental testnets and highlight the lessons learned from these implementations.
Exploring the Efficacy of InitVerse Governance Models
Governance models play a crucial role in the success of blockchain platforms, as they determine how decisions are made and protocols are updated. However, finding the optimal governance model can be challenging due to the complex and decentralized nature of blockchain networks. InitVerse recognizes this challenge and is dedicated to trialing various governance models on experimental testnets.
Experimental testnets allow for the exploration and evaluation of different governance models in a controlled environment. By simulating real-world scenarios, InitVerse can assess the effectiveness of various models and identify their strengths and weaknesses. This approach ensures that any potential flaws or vulnerabilities are identified and addressed before implementing the governance models on the mainnet.
Through these trials, InitVerse can gather valuable data and user feedback that can inform the decision-making process. By involving the community in the experimentation, InitVerse fosters a collaborative environment where users can actively participate in shaping the platform’s governance models. This inclusive approach ensures that the governance models reflect the needs and preferences of the stakeholders, ultimately enhancing the platform’s long-term sustainability and resilience.
Lessons Learned from Implementing Experimental Testnets
The implementation of experimental testnets has yielded significant lessons that have shaped the development of InitVerse’s governance models. One crucial lesson is the importance of transparency and inclusivity in decision-making. By allowing users to participate in the governance process, InitVerse ensures that decisions are made collectively, promoting consensus and minimizing potential conflicts.
Another key lesson learned is the need for flexibility and adaptability. Blockchain networks are constantly evolving, and governance models must be able to accommodate changes and upgrades. Through the experimental testnets, InitVerse has identified the necessity of modular governance structures that can be easily modified and upgraded to meet the evolving needs of the platform and its users.
Slides (in English, only the first one in Italian) from my session at .NET Conf 2020 (https://dotnetconf.it/) about Kubernetes (AKS) versus Azure App Service for .NET Developers
Microservices: Why and When? - Alon Fliess, CodeValue - Cloud Native Day Tel ...Cloud Native Day Tel Aviv
Do more with less, the pain of the modern architect. High cohesion & low coupling, high availability & scale, ease of DevOps. Our systems need to support all these quality attributes, while providing more functionality with less resources. We need to be agile, we need to embrace changes, we need to have a better way! Micro-Service-Architecture (MSA) promises to bring cure to the architect's pains, but does it really deliver? This lecture presents the essence of MSA, how does it answer main concerns of modern distributed systems, how to get started, how to migrate current solutions to MSA by adopting an evolution migration path. What to be careful about and the signs that we are on the right track. We will talk about SA evolution, the CAP theorem and eventually consistency, MSA principles, hosting. containers, versioning, orchestrators & decoupling business processes. By the end of this lecture the participant will have a better understanding of why, when and how to embrace MSA.
Scenarios in Which Kubernetes is Used for Container Orchestration of a Web Ap...Sun Technologies
Kubernetes is commonly used for container orchestration of web applications in various scenarios where scalability, reliability, and efficient management of containerized workloads are required. Here are some scenarios where Kubernetes is used for container orchestration of web applications:
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
4. We want to deliver value to the users
Delivering value requires deploying to production
Deploying to production is scary
No value is delivered if something goes wrong
The problem with current deployment pipelines
6. Deploy to production with confidence
Deploy more frequently
Deliver user value at a higher velocity
Introduce Canary to your pipeline
7. Origination of the Term
“Canary”
Refers to “canary in a coal mine”
Used as an early warning sign of mine
contamination
7
8. Process of deploying a limited feature
release to production
Controls exposure of a feature to a small
subset of users
New feature receives a sample of real user
traffic
Canary in Software Development
9. Monitoring systems flag any issues with the feature deployment
Teams react to issues and either proceed or rollback the deployment
Early Detection of Failures
10. Traffic is promoted to the new version after assessing the deployment
Old version is disposed
Promote to New Version
21. Answer:
Canary Awareness
At any point in time, any deployable component can
be part of a canary deployment.
Deployable components need to be aware of their own version
Depending components need to be aware of deployable component versions
21
26. Services subscribe to discovery systems with version metadata
Pipeline updates traffic percentages in discovery system
Discovery subscribers receive traffic % and route accordingly
27. Use Canary Awareness concept to tag metrics/logs/traces with version
Enables developer filtering capabilities to observe health of the new version
28. Able to see an increase in errors (500s) from version 56 to version 57
Yes, that is Grafana in “light mode”
Service stabilizes with deployment of
version 58
29. Other Considerations
Scale Based Canary
Using replication scale to randomize canary traffic
Canary State Management
Producing a consistent user experience
Automated Canary Analysis
Automate canary judgement based on metrics
Service Mesh
Magically connecting services together
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30. Scale Based Canary
Use replica scale as a way to saturate new version traffic with old version traffic
Do some math…
(1 instance of v2) / (99 instances of v1) = 1% traffic to v2
(50 instance of v2) / (50 instances of v1) = 50% traffic to v2
31. Ability to use commodity load balancers without
custom routing
Easy to implement
Works well for service per load balancer setup
Scale Based Canary
PROS
Scale requirements to saturate traffic can be
expensive
Difficult to slice pertangages for < 10 instances
Use of cloud based LB’s like AWS ELB require
one LB per service group
CONS
32. Canary State Management
Ability to keep a user chosen for canary testing on the same version
User does not get an inconsistent experience from mixed versions
33. Automated Canary Analysis
Establishing a baseline of healthy metrics
Using the baseline to evaluate a new deployment
Fail deployment if new deployment metrics do not meet healthy thresholds
Spinnaker is a Continuous Delivery tool with contributors such as Netflix, Google,
and Kenzan
Spinnaker introduced automated canary analysis in a component called Kayenta
https://github.com/spinnaker/kayenta
Compares a baseline metric against the new version and judges the deployment
Currently supports Stackdriver, Prometheus, and DataDog metric providers
34. Service Mesh
Connects services together over the network
Manages load balancing between apps
Uses discovery to route traffic
Istio offers Traffic Shifting capabilities to enable canary traffic management
Creates sidecar proxies using Envoy that manage mesh traffic
Works on Kubernetes to discover services and route traffic
Bundled with telemetry tools such as Prometheus, Grafana, and Jaeger
35. Demo Setup
Platform: Kubernetes
Traffic Management: Istio/Envoy
CI/CD: Jenkins
Source Control: Github
Microservices:
Library built in Go
Book built with Spring Boot
Monitoring: Prometheus/Grafana
36. Conclusion
Requires real user traffic
Introduces new complexities
Organizational resistance to adapt a
new deployment process
Limits the user impact of a bad
deployment
Increases feature deployment velocity
More Open Source Canary tools
becoming available
Advantages Disadvantages
