Video: http://youtu.be/a1r2bpGQbBQ
A talk about using Riemann for stream processing. This is the metric aficionados on-premise tool of choice currently. Ali will talk about how they are using it to process the metrics coming out of their cloud service.
For more info see : http://riemann.io
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London/
Follow DOXLON on twitter: twitter.com/doxlon
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLONOutlyer
Video:
Paul Dix (Founder of InfluxDB) talking about his awesome Open-Source projects for monitoring.
For more info visit: InfluxDB: www.influxdb.com
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London/
Follow DOXLON on twitter: twitter.com/doxlon
To scale or not to scale: Key/Value, Document, SQL, JPA – What’s right for my...Uri Cohen
This presentation will focuses on the various data and querying models available in today’s distributed data stores landscape. It reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.
Microservices, Continuous Delivery, and Elasticsearch at Capital OneNoriaki Tatsumi
This presentation focuses on the implementation of Continuous Delivery and Microservices principles in Capital One’s
cybersecurity data platform – which ingests ~6 TB of data every day, and where Elasticsearch is a core component.
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLONOutlyer
Video:
Paul Dix (Founder of InfluxDB) talking about his awesome Open-Source projects for monitoring.
For more info visit: InfluxDB: www.influxdb.com
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London/
Follow DOXLON on twitter: twitter.com/doxlon
To scale or not to scale: Key/Value, Document, SQL, JPA – What’s right for my...Uri Cohen
This presentation will focuses on the various data and querying models available in today’s distributed data stores landscape. It reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.
Microservices, Continuous Delivery, and Elasticsearch at Capital OneNoriaki Tatsumi
This presentation focuses on the implementation of Continuous Delivery and Microservices principles in Capital One’s
cybersecurity data platform – which ingests ~6 TB of data every day, and where Elasticsearch is a core component.
MongoDB Days UK: Using MongoDB and Python for Data Analysis PipelinesMongoDB
Presented by Eoin Brazil, Proactive Technical Services Engineer, MongoDB
Experience level: Advanced
MongoDB offers a flexible, scalable, and easy way to store your large data set. Python provides many useful data science tools (e.g. NumPy, SciPy, Scikit-learn, etc.). This talk will discuss the concerns for creating operational data analytic pipelines, introduce Monary as alternative for loading data into NumPy, and give examples of accessing data with Monary, as well as how to build scalable data analysis pipelines using these open source tools.
ElasticES-Hadoop: Bridging the world of Hadoop and ElasticsearchMapR Technologies
In this talk, we will provide an overview of Elasticsearch for Apache Hadoop (ES-Hadoop), which includes integrations between the various Hadoop libraries, whether batch (Map/Reduce, Pig, Hive) or stream oriented (such as Apache Spark). We will also cover the YARN support and the HDFS snapshot/restore plugin available as part of ES-Hadoop. We will talk about the upcoming ES-Hadoop 2.1 GA release and near-term roadmap.
ELK Elasticsearch Logstash and Kibana Stack for Log ManagementEl Mahdi Benzekri
Initiation to the powerful Elasticsearch Logstash and Kibana stack, it has many use cases, the popular one is the server and application log management.
Paul Angus (ShapeBlue) - Push infrastructure with Ansible #DOXLONOutlyer
Ansible is one of the new breed of tools that encompasses configuration management, orchestration and software defined infrastructure. Find out how many companies are spinning up entire environments from source code including vm's, networks, dns, firewalls, load balancers etc.
Video: https://www.youtube.com/watch?v=unPVe2pcego
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
MongoDB Days UK: Using MongoDB and Python for Data Analysis PipelinesMongoDB
Presented by Eoin Brazil, Proactive Technical Services Engineer, MongoDB
Experience level: Advanced
MongoDB offers a flexible, scalable, and easy way to store your large data set. Python provides many useful data science tools (e.g. NumPy, SciPy, Scikit-learn, etc.). This talk will discuss the concerns for creating operational data analytic pipelines, introduce Monary as alternative for loading data into NumPy, and give examples of accessing data with Monary, as well as how to build scalable data analysis pipelines using these open source tools.
ElasticES-Hadoop: Bridging the world of Hadoop and ElasticsearchMapR Technologies
In this talk, we will provide an overview of Elasticsearch for Apache Hadoop (ES-Hadoop), which includes integrations between the various Hadoop libraries, whether batch (Map/Reduce, Pig, Hive) or stream oriented (such as Apache Spark). We will also cover the YARN support and the HDFS snapshot/restore plugin available as part of ES-Hadoop. We will talk about the upcoming ES-Hadoop 2.1 GA release and near-term roadmap.
ELK Elasticsearch Logstash and Kibana Stack for Log ManagementEl Mahdi Benzekri
Initiation to the powerful Elasticsearch Logstash and Kibana stack, it has many use cases, the popular one is the server and application log management.
Paul Angus (ShapeBlue) - Push infrastructure with Ansible #DOXLONOutlyer
Ansible is one of the new breed of tools that encompasses configuration management, orchestration and software defined infrastructure. Find out how many companies are spinning up entire environments from source code including vm's, networks, dns, firewalls, load balancers etc.
Video: https://www.youtube.com/watch?v=unPVe2pcego
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
Performance Marketing in a digital worldForestView
This is the introductory presentation that Zhivko Kalotov, Country Manager of ForestView Bulgaria, delivered at the "Performance Marketing in a Digital World" Masterclass. The event was hosted on March 12, 2014 by ForestView, in collaboration with the Bulgarian Association of Advertisers.
With more and more companies adopting microservices and service-oriented architectures, it becomes clear that the HTTP/RPC synchronous communication (while great) is not always the best option for every use case.
In this presentation, I discuss two approaches to an asynchronous event-based architecture. The first is a "classic" style protocol (Python services driven by callbacks with decorators communicating using a messaging layer) that we've been implementing at Demonware (Activision) for Call of Duty back-end services. The second is an actor-based approach (Scala/Akka based microservices communicating using a messaging layer and a centralized router) in place at Bench Accounting.
Both systems, while event based, take different approaches to building asynchronous, reactive applications. This talk explores the benefits, challenges, and lessons learned architecting both Actor and Non-Actor systems.
Apache Spark Performance Troubleshooting at Scale, Challenges, Tools, and Met...Databricks
This talk is about methods and tools for troubleshooting Spark workloads at scale and is aimed at developers, administrators and performance practitioners. You will find examples illustrating the importance of using the right tools and right methodologies for measuring and understanding performance, in particular highlighting the importance of using data and root cause analysis to understand and improve the performance of Spark applications. The talk has a strong focus on practical examples and on tools for collecting data relevant for performance analysis. This includes tools for collecting Spark metrics and tools for collecting OS metrics. Among others, the talk will cover sparkMeasure, a tool developed by the author to collect Spark task metric and SQL metrics data, tools for analysing I/O and network workloads, tools for analysing CPU usage and memory bandwidth, tools for profiling CPU usage and for Flame Graph visualization.
Building an Event-oriented Data Platform with Kafka, Eric Sammer confluent
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. Many organizations understand the use cases around their data – fraud detection, quality of service and technical operations, user behavior analysis, for example – but are not necessarily data infrastructure experts. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes an hour of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality.
Attendees will leave this session knowing not just which open source projects go into a system such as this, but how they work together, what tradeoffs and decisions need to be addressed, and how to present a single general purpose data platform to multiple applications. This session should be attended by data infrastructure engineers and architects planning, building, or maintaining similar systems.
Data Platform at Twitter: Enabling Real-time & Batch Analytics at ScaleSriram Krishnan
The Data Platform at Twitter supports engineers and data scientists running batch jobs on Hadoop clusters that are several 1000s of nodes, and real-time jobs on top of systems such as Storm. In this presentation, I discuss the overall Data Platform stack at Twitter. In particular, I talk about enabling real-time and batch analytics at scale with the help of Scalding, which is a Scala DSL for batch jobs using MapReduce, Summingbird, which is a framework for combined real-time and batch processing, and Tsar, which is a framework for real-time time-series aggregations.
Flink Forward San Francisco 2018: Fabian Hueske & Timo Walther - "Why and how...Flink Forward
SQL is the lingua franca of data processing and everybody working with data knows SQL. Apache Flink provides SQL support for querying and processing batch and streaming data. Flink’s SQL support powers large-scale production systems at Alibaba, Huawei, and Uber. Based on Flink SQL, these companies have built systems for their internal users as well as publicly offered services for paying customers. In our talk, we will discuss why you should and how you can (not being Alibaba or Uber) leverage the simplicity and power of SQL on Flink. We will start exploring the use cases that Flink SQL was designed for and present real-world problems that it can solve. In particular, you will learn why unified batch and stream processing is important and what it means to run SQL queries on streams of data. After we explored why you should use Flink SQL, we will show how you can leverage its full potential. Since recently, the Flink community is working on a service that integrates a query interface, (external) table catalogs, and result serving functionality for static, appending, and updating result sets. We will discuss the design and feature set of this query service and how it can be used for exploratory batch and streaming queries, ETL pipelines, and live updating query results that serve applications, such as real-time dashboards. The talk concludes with a brief demo of a client running queries against the service.
Serverless technologies and capabilities are here and are accessible now more than ever.
The power of infinite scale and system capabilities has never been more accessible. This also affects traditional front end development as serverless technologies allow for easy construction of backend support for any frontend with ease and simplicity.
In this talk, we will demonstrate how to build a fully functional Graphql endpoint for FE applications using Apollo Server and Client libraries, utilizing different cloud providers. We will also demonstrate the usage of Servless.com framework to set up the required infrastructure as code to simplify and support this setup
The video of the presentation (Hebrew):
https://youtu.be/8ba4cpdtK-8
Apache Flink is the hottest technology in big data and distributed system in these two years. In this talk, I will talk about 1. Do we need real-time processing? 2. the challenge and why Flink stands out 3. Using three examples to show case Flink features 1. word count in streaming and batch 2. Table API and SQL with NYC Taxi 3. Real-time User Based Collaborative Filter based Recommendation System
Sumedha Rubasinghe, Director of API Architecture presented this talk at the API Strategy & Practice Conference in Chicago where he illustrated how organisations can analyse who uses their APIs, while understanding how statistics help in capacity planning, deployment, maintain schedules and trend analyses as well as assist the decision-making process. The session discussed scalable collection of statistics for API ecosystems, key design considerations, real-time and offline analysis as well as WSO2’s approach for dealing with these challenges.
Serverless and Streaming: Building ‘eBay’ by ‘Turning the Database Inside Out’ confluent
(Neil Avery, Confluent) Kafka Summit SF 2018
Apache Kafka has an immense capability for building data-intensive applications. The ability to model and scale to thousands of parallel real-time streams bring with it incredible fundamentals upon which you can build scalable systems of almost any nature. We also have the brave new world of serverless that causes much confusion as to how to use Functions as a Service (FaaS) and streaming together.
This talk builds a horizontally scalable auction platform with real-time marketplace analytics to work at the scale of eBay. The design uses the concepts of "turning the database inside out” to build a model of how to make a stream platform works synergistically with FaaS/AWS Lambda. First, we explore the founding principles of the log, producer/consumer topics, partitions and events. We then build up to Kafka Streams stateless and stateful stream processing and KSQL. These principles are mapped onto simple use cases in order to establish how to build higher order functionality. These use cases are combined to develop an architecture that provides the design semantics required for a real-time auction system and marketplace intelligence. The architecture is composed of a queryable data fabric using Kafka Streams state stores, a high-throughput worker-queue using exactly-once semantics (EoS) Kafka consumers, and a queue-worker hook to drive AWS Lambda functions.
The end result is a real-time system that scales elastically to service millions of auction events and provide live, marketplace analytics. The audience will learn how to compose large scale applications using all of the Apache Kafka stack as well as how we view “turning the database inside out” when used in conjunction with serverless architectures.
Clean up this mess - API Gateway & Service Discovery in .NETMarcin Tyborowski
Presentation about API Gateway and Service Discovery in .NET
Links:
https://devmentors.io/distributed-net-core/
https://microservices.io/patterns/index.html
https://www.consul.io/docs/index.html
https://github.com/canton7/RestEase
https://github.com/tbr09/TrashRouting
Murat Karslioglu, VP Solutions @ OpenEBS - Containerized storage for containe...Outlyer
What is wrong w/ stateful workloads on containers today? What is happening at the Linux kernel to improve the security of containers as a platform FOR storage? Could containers and Kubernetes become the foundations of a new approach to storage? Quick demo of the OpenEBS project.
Video: https://youtu.be/rhx_TnZe_E4
This talk is from the DevOps Exchange San Francisco September Meetup: https://www.meetup.com/DevOps-Exchange-SanFrancisco
Feature flags are a valuable DevOps technique to deliver better, more reliable software faster. Feature flags can be used for both release management (dark launches, canary rollouts, betas) as well as long term control (entitlement management, user segmentation personalization).
However, if not managed properly, feature flags can be very destructive technical debt. Feature flags need to be managed properly with visibility and control to both engineering and business users.
Why You Need to Stop Using "The" Staging ServerOutlyer
Old staging methodology is broken for modern development. In fact, the staging server is left over from when we built monolithic applications. Find out why microservice architectures are driving ephemeral testing environments & why every sized dev shop should deliver true continuous deployment.
Staging servers slow down development with merge conflicts, slow iteration loops, and manhour intensive processes. To build better software faster containers and infrastructure as code are key in 2017. Dev Ops professionals miss this talk at their own peril.
How GitHub combined with CI empowers rapid product delivery at Credit Karma Outlyer
Amit and Kashyap will discuss how GitHub and self service continuous integration (CI) helps Credit Karma rapidly deliver new features to over 60 million members. They will review how Credit Karma streamlined and scaled growing CI needs stemming from an army of engineers decomposing monolith into services.
Docker is often used as an end-to-end solution where services are packaged using a Dockerfile, pushed to a container registry and then deployed to a container orchestration like Kubernetes. In this talk, I would like to show you how nix, the purely functional package manager, can replace and improve over docker in the development and build phase of the applications' lifecycle.
Minimum Viable Docker: our journey towards orchestrationOutlyer
While Kubernetes and Mesos are all the rage, you don't necessarily need a complex orchestration layer to start using and benefiting from Docker. We will present how Babylon Health is running its dockerised AI microservices in production, pros and cons, and what we have in store for the future.
Ops is the past! DevOps is the present ! SRE is for giants! NoOps is the future! Fowler even says that a DevOps Engineer is an anti-pattern!
So will our job disappear in 10 years? What can we do about it? What is the next set of skills that we need? A startup is often a precursor to larger changes. I'll tell you what we are trying to do at Curve, a Fintech startup where developers build Kubernetes clusters and the SRE team codes microservices.
The service mesh: resilient communication for microservice applicationsOutlyer
Modern application architecture is shifting from monolith to microservices: componentized, containerized, and orchestrated with systems like Kubernetes, Mesos, and Docker Swarm. While this environment is resilient to many failures of both hardware and software, applications require more than this to be truly resilient. In this talk, we introduce the notion of a "service mesh": a userspace infrastructure layer designed to manage service-to-service communication in microservice applications, including handling partial failures and unexpected load, while reducing tail latencies and degrading gracefully in the presence of component failure.
Microservices: Why We Did It (and should you?) Outlyer
Mason will present a skeptical, humorous, and practical look at whether companies should consider microservices, and why/not. The story includes the reasons why Credit Karma did make the move, the approach we took, and shares some of our learnings so far.
Renan Dias: Using Alexa to deploy applications to KubernetesOutlyer
It's time to bring voice commands into continuous deployment pipelines. In this talk, Renan will walk you through the steps of setting up a powerful and cutting-edge continuous deployment pipeline, which will allow you to deploy your products to Kubernetes clusters using just your voice. "Alexa, deploy API to production". If you have never imagined yourself doing that, or you have but don't know where to start, this talk is definitely for you.
Alex Dias: how to build a docker monitoring solution Outlyer
Alex will be talking about how docker container monitoring was built at Outlyer. He'll be diving into the details behind how you actually monitor everything in such an environment and the challenges that come with it. Namely, how the Docker API, Cgroups, and the Netlink Linux kernel interface can be leveraged to get specific metrics for each container.
How to build a container monitoring solution - David Gildeh, CEO and Co-Found...Outlyer
David will be talking about how he's built the container monitoring at Outlyer. He'll also be diving into the details behind how you actually monitor everything in a container environment and the challenges that come with it.
Heresy in the church of - Corey Quinn, Principal at The Quinn Advisory Group Outlyer
Docker (and by extension, microservices based architecture) has expanded our horizons with respect to how the industry builds and supports applications at scale. It’s changed the way we think about our code, what production looks like, and how we live. But in our rush to embrace this exciting new paradigm, are we throwing away the lessons of the past?
In this entertaining and somewhat irreverent talk, Corey presents the ”other side” of the containerization craze: how configuration management fits into a world consumed by the Docker Docker Docker madness, how ”containers all the way down” can let you down when you least expect it, and how promising technologies should perhaps be vetted a bit more thoroughly before you try to run critical services on top of them.
Anatomy of a real-life incident -Alex Solomon, CTO and Co-Founder of PagerDutyOutlyer
Major incidents can be very stressful, frustrating and chaotic experiences, especially if the on-call responders lack the proper process, training and coordination.
In this talk, we will walk through a real incident from PagerDuty’s own history, to illustrate what an effective incident response looks like. We will recreate the incident timeline step by step and go over all of the different roles involved, including the incident commander, scribe, customer/business liaison and subject matter experts. We will also cover the process and tooling needed to respond quickly and effectively to major incidents in order to minimize customer and business impact.
A Holistic View of Operational Capabilities—Roy Rapoport, Insight Engineering...Outlyer
Roy Rapoport will discuss the framework Insight Engineering at Netflix uses to think about the real-time operational insight space, the capabilities that any successful organization will eventually need in that space, and what Netflix has done in pursuit of addressing these needs at extremely large scale.
The Network Knows—Avi Freedman, CEO & Co-Founder of Kentik Outlyer
Apps generate the traffic, but the network delivers it. Many devops and netops stacks are completely separate, but it doesn't have to be that way!
In this talk we'll talk a bit about network traffic telemetry - sources, tools, and methods - and show how that data can be linked to metric, log, and APM systems.
Building a production-ready, fully-scalable Docker Swarm using Terraform & Pa...Outlyer
Bobby is a Consultant DevOps Engineer who currently works with UK Cloud’s clients to help them understand DevOps, how to improve their automation and migrate to a cloud-native environment. Bobby has over twenty years of experience working with the web and has most recently been working with public sector clients on their latest projects.
On the surface, the tech behind a payments API may look like any other startup’s. You'll probably find some Rails apps, a database, and a bunch of stuff off to the sides to glue it together. GoCardless found it's mostly not the tech that differs, but the approach.
Using their high-availability Postgres cluster as a running example, they explore how reliability became so important to them, and dive into the most recent feature they built into the cluster: zero-downtime patch upgrades.
DOXLON November 2016: Facebook Engineering on cgroupv2Outlyer
Cgroupv1 (or just "cgroups") has helped revolutionize the way that we manage and use containers over the past 8 years. In kernel 4.5, a complete overhaul is coming -- cgroupv2. This talk will go into why a new control group system was needed, the changes from cgroupv1, and practical uses that you can apply to improve the level of control you have over the processes on your servers.
DOXLON November 2016 - ELK Stack and Beats Outlyer
Jon Hammant, Head of Cloud & DevOps for UK & EU for Epam Systems, presented an overview of using the ELK stack together with the Beats Plugin data shippers to provide detailed system metrics, network traffic, file analysis, and more. In addition, he provided an overview of how to monitor multiple Docker containers in a cloud native environment, with logs sent back to a central host.
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 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.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
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.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
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.
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.
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.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
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.
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5. Alerting challenges
• Service interdependencies
• Multiple services + multiple metrics
• Alerting before outage
6. If only…
• A tool to gain insight from the constant
stream of metrics
• Analyse incoming metrics in near real
time
7. Well, there is…
• http://riemann.io/
• Started by Aphyr (Kyle Kingsbury)
• Named for Bernhard Riemann
– http://en.wikipedia.org/wiki/Bernhard_Riemann
11. Event Struct/Dictionary/Map
{:host "foo"!
:service "My test service"!
:state "good"!
:time 1414687710!
:description "A test that I am running"!
:tags ["foo", "bar"]!
:metric 1.0!
:ttl 900}