Apache Camel has fundamentally changed the way enterprise Java™ developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
The Analytic Platform behind IBM’s Watson Data Platform - Big Data Spain 2017Luciano Resende
IBM has built a “Data Science Experience” cloud service that exposes Notebook services at web scale. Behind this service, there are various components that power this platform, including Jupyter Notebooks, an enterprise gateway that manages the execution of the Jupyter Kernels and an Apache Spark cluster that power the computation. In this session we will describe our experience and best practices putting together this analytical platform as a service based on Jupyter Notebooks and Apache Spark, in particular how we built the Enterprise Gateway that enables all the Notebooks to share the Spark cluster computational resources.
Hyper-C is OpenStack on Windows Server 2016, based on Nano Server, Hyper-V, Storage Spaces Direct (S2D) and Open vSwitch for Windows. Bare metal deployment features Cloudbase Solutions Juju charms and MAAS.
Startup Case Study: Leveraging the Broad Hadoop Ecosystem to Develop World-Fi...DataWorks Summit
Back in 2014, our team set out to change the way the world exchanges and collaborates with data. Our vision was to build a single tenant environment for multiple organisations to securely share and consume data. And we did just that, leveraging multiple Hadoop technologies to help our infrastructure scale quickly and securely.
Today Data Republic’s technology delivers a trusted platform for hundreds of enterprise level companies to securely exchange, commercialise and collaborate with large datasets.
Join Head of Engineering, Juan Delard de Rigoulières and Senior Solutions Architect, Amin Abbaspour as they share key lessons from their team’s journey with Hadoop:
* How a startup leveraged a clever combination of Hadoop technologies to build a secure data exchange platform
* How Hadoop technologies helped us deliver key solutions around governance, security and controls of data and metadata
* An evaluation on the maturity and usefulness of some Hadoop technologies in our environment: Hive, HDFS, Spark, Ranger, Atlas, Knox, Kylin: we've use them all extensively.
* Our bold approach to expose APIs directly to end users; as well as the challenges, learning and code we created in the process
* Learnings from the front-line: How our team coped with code changes, performance tuning, issues and solutions while building our data exchange
Whether you’re an enterprise level business or a start-up looking to scale - this case study discussion offers behind-the-scenes lessons and key tips when using Hadoop technologies to manage data governance and collaboration in the cloud.
Speakers:
Juan Delard De Rigoulieres, Head of Engineering, Data Republic Pty Ltd
Amin Abbaspour, Senior Solutions Architect, Data Republic
Join Dr. Konstantin Boudnik, VP Open Source Development, WANdisco and Member of the Apache Software Foundation on Thursday, August 20, 2015 at 11:00 AM PDT / 2:00 PM EDT as he explains how Hadoop, Apache Spark and Apache Ignite™ (incubating) are integrated under Apache Bigtop. In this one hour webinar he’ll go in-depth, including live demos and benchmarking examples, on how to turbocharge Hadoop back-end storage access with Apache Ignite™ (incubating) MapReduce and Caching.
Driving in the Desert - Running Your HDP Cluster with Helion, Openstack, and ...DataWorks Summit
DataWorks Summit 2017 - Sydney
Alejandro Tesch, Cloud Evangelist, Asia Pacific and Japan, HPE
Big Data is a hot topic today for most organisations today as they race to convert vast amounts of data into useful information that can be leveraged to make critical decisions and recommendations in a very limited time windows. Today, there is a widely accepted talent gap when it comes to creating and managing Hadoop cluster, even for the experts – it can take hours (or days) to get a fully functional hadoop farm up and running. The HDP Ambari plugin for Sahara is looking to address most of this challenges by facilitating the deployment of Hortonworks Hadoop clusters and provide a set of open API to facilitate data analytics tasks in your own cloud. In this presentation we will cover why it makes sense to run your data analytics cluster in your cloud and we will demonstrate basic Sahara / Ambari functionality.
Simplifying Hadoop with RecordService, A Secure and Unified Data Access Path ...Cloudera, Inc.
SFHUG presentation from February 2, 2016. One of the key values of the Hadoop ecosystem is its flexibility. There is a myriad of components that make up this ecosystem, allowing Hadoop to tackle otherwise intractable problems. However, having so many components provides a significant integration, implementation, and usability burden. Features that ought to work in all the components often require sizable per-component effort to ensure correctness across the stack.
Lenni Kuff explores RecordService, a new solution to this problem that provides an API to read data from Hadoop storage managers and return them as canonical records. This eliminates the need for components to support individual file formats, handle security, perform auditing, and implement sophisticated IO scheduling and other common processing that is at the bottom of any computation.
Lenni discusses the architecture of the service and the integration work done for MapReduce and Spark. Many existing applications on those frameworks can take advantage of the service with little to no modification. Lenni demonstrates how this provides fine grain (column level and row level) security, through Sentry integration, and improves performance for existing MapReduce and Spark applications by up to 5×. Lenni concludes by discussing how this architecture can enable significant future improvements to the Hadoop ecosystem.
About the speaker: Lenni Kuff is an engineering manager at Cloudera. Before joining Cloudera, he worked at Microsoft on a number of projects including SQL Server storage engine, SQL Azure, and Hadoop on Azure. Lenni graduated from the University of Wisconsin-Madison with degrees in computer science and computer engineering.
The Analytic Platform behind IBM’s Watson Data Platform - Big Data Spain 2017Luciano Resende
IBM has built a “Data Science Experience” cloud service that exposes Notebook services at web scale. Behind this service, there are various components that power this platform, including Jupyter Notebooks, an enterprise gateway that manages the execution of the Jupyter Kernels and an Apache Spark cluster that power the computation. In this session we will describe our experience and best practices putting together this analytical platform as a service based on Jupyter Notebooks and Apache Spark, in particular how we built the Enterprise Gateway that enables all the Notebooks to share the Spark cluster computational resources.
Hyper-C is OpenStack on Windows Server 2016, based on Nano Server, Hyper-V, Storage Spaces Direct (S2D) and Open vSwitch for Windows. Bare metal deployment features Cloudbase Solutions Juju charms and MAAS.
Startup Case Study: Leveraging the Broad Hadoop Ecosystem to Develop World-Fi...DataWorks Summit
Back in 2014, our team set out to change the way the world exchanges and collaborates with data. Our vision was to build a single tenant environment for multiple organisations to securely share and consume data. And we did just that, leveraging multiple Hadoop technologies to help our infrastructure scale quickly and securely.
Today Data Republic’s technology delivers a trusted platform for hundreds of enterprise level companies to securely exchange, commercialise and collaborate with large datasets.
Join Head of Engineering, Juan Delard de Rigoulières and Senior Solutions Architect, Amin Abbaspour as they share key lessons from their team’s journey with Hadoop:
* How a startup leveraged a clever combination of Hadoop technologies to build a secure data exchange platform
* How Hadoop technologies helped us deliver key solutions around governance, security and controls of data and metadata
* An evaluation on the maturity and usefulness of some Hadoop technologies in our environment: Hive, HDFS, Spark, Ranger, Atlas, Knox, Kylin: we've use them all extensively.
* Our bold approach to expose APIs directly to end users; as well as the challenges, learning and code we created in the process
* Learnings from the front-line: How our team coped with code changes, performance tuning, issues and solutions while building our data exchange
Whether you’re an enterprise level business or a start-up looking to scale - this case study discussion offers behind-the-scenes lessons and key tips when using Hadoop technologies to manage data governance and collaboration in the cloud.
Speakers:
Juan Delard De Rigoulieres, Head of Engineering, Data Republic Pty Ltd
Amin Abbaspour, Senior Solutions Architect, Data Republic
Join Dr. Konstantin Boudnik, VP Open Source Development, WANdisco and Member of the Apache Software Foundation on Thursday, August 20, 2015 at 11:00 AM PDT / 2:00 PM EDT as he explains how Hadoop, Apache Spark and Apache Ignite™ (incubating) are integrated under Apache Bigtop. In this one hour webinar he’ll go in-depth, including live demos and benchmarking examples, on how to turbocharge Hadoop back-end storage access with Apache Ignite™ (incubating) MapReduce and Caching.
Driving in the Desert - Running Your HDP Cluster with Helion, Openstack, and ...DataWorks Summit
DataWorks Summit 2017 - Sydney
Alejandro Tesch, Cloud Evangelist, Asia Pacific and Japan, HPE
Big Data is a hot topic today for most organisations today as they race to convert vast amounts of data into useful information that can be leveraged to make critical decisions and recommendations in a very limited time windows. Today, there is a widely accepted talent gap when it comes to creating and managing Hadoop cluster, even for the experts – it can take hours (or days) to get a fully functional hadoop farm up and running. The HDP Ambari plugin for Sahara is looking to address most of this challenges by facilitating the deployment of Hortonworks Hadoop clusters and provide a set of open API to facilitate data analytics tasks in your own cloud. In this presentation we will cover why it makes sense to run your data analytics cluster in your cloud and we will demonstrate basic Sahara / Ambari functionality.
Simplifying Hadoop with RecordService, A Secure and Unified Data Access Path ...Cloudera, Inc.
SFHUG presentation from February 2, 2016. One of the key values of the Hadoop ecosystem is its flexibility. There is a myriad of components that make up this ecosystem, allowing Hadoop to tackle otherwise intractable problems. However, having so many components provides a significant integration, implementation, and usability burden. Features that ought to work in all the components often require sizable per-component effort to ensure correctness across the stack.
Lenni Kuff explores RecordService, a new solution to this problem that provides an API to read data from Hadoop storage managers and return them as canonical records. This eliminates the need for components to support individual file formats, handle security, perform auditing, and implement sophisticated IO scheduling and other common processing that is at the bottom of any computation.
Lenni discusses the architecture of the service and the integration work done for MapReduce and Spark. Many existing applications on those frameworks can take advantage of the service with little to no modification. Lenni demonstrates how this provides fine grain (column level and row level) security, through Sentry integration, and improves performance for existing MapReduce and Spark applications by up to 5×. Lenni concludes by discussing how this architecture can enable significant future improvements to the Hadoop ecosystem.
About the speaker: Lenni Kuff is an engineering manager at Cloudera. Before joining Cloudera, he worked at Microsoft on a number of projects including SQL Server storage engine, SQL Azure, and Hadoop on Azure. Lenni graduated from the University of Wisconsin-Madison with degrees in computer science and computer engineering.
Best Practices for running the Oracle Database on EC2 webinarTom Laszewski
Best practices for running the Oracle Database on EC2 including storage, security, networking, EC2, deployment, deployment, management, and monitoring.
Optimizing Spark Deployments for Containers: Isolation, Safety, and Performan...Spark Summit
Developers love Linux containers, which neatly package up an application and its dependencies and are easy to create and share. However, this unbeatable developer experience hides some deployment challenges for real applications: how do you wire together pieces of a multi-container application? Where do you store your persistent data if your containers are ephemeral? Do containers really contain and isolate your application, or are they merely hiding potential security vulnerabilities? Are your containers scheduled across your compute resources efficiently, or are they trampling on one another?
Container application platforms like Kubernetes provide the answers to some of these questions. We’ll draw on expertise in Linux security, distributed scheduling, and the Java Virtual Machine to dig deep on the performance and security implications of running in containers. This talk will provide a deep dive into tuning and orchestrating containerized Spark applications. You’ll leave this talk with an understanding of the relevant issues, best practices for containerizing data-processing workloads, and tips for taking advantage of the latest features and fixes in Linux Containers, the JDK, and Kubernetes. You’ll leave inspired and enabled to deploy high-performance Spark applications without giving up the security you need or the developer-friendly workflow you want.
What's new in MySQL Cluster 7.4 webinar chartsAndrew Morgan
MySQL Cluster powers the subscriber databases of major communication services providers as well as next generation web, cloud, social and mobile applications. It is designed to deliver:
- Real-time, in-memory performance for both OLTP and analytics workloads
- Linear scale-out for both reads and writes
99.999% High Availability
- Transparent, cross-shard transactions and joins
- Update-Anywhere Geographic replication
- SQL or native NoSQL APIs
All that while still providing full ACID transactions.
Spark SQL: Another 16x Faster After Tungsten: Spark Summit East talk by Brad ...Spark Summit
Apache Spark 2.1.0 boosted the performance of Apache Spark SQL due to Project Tungsten software improvements. Another 16x times faster has been achieved by using Oracle’s innovations for Apache Spark SQL. This 16x improvement is made possible by using Oracle’s Software in Silicon accelerator offload technologies.
Apache Spark SQL In-memory performance is becoming more important due to many factors. Users are now performing more advanced SQL processing on multi-terabyte workloads. In addition on-prem and cloud servers are getting larger physical memory to enable storing these huge workloads be stored in memory. In this talk we will look at using Spark SQL in feature creation, feature generation within pipelines for Spark ML.
This presentation will explore workloads at scale and with complex interactions. We also provide best practices and tuning suggestion to support these kinds of workloads on real applications in cloud deployments. In addition ideas for next generation Tungsten project will also be discussed.
Cloud-Native PostgreSQL is a Kubernetes Operator for Postgres written by EDB entirely from scratch in the Go language and relying exclusively on the Kubernetes API.
This webinar covered:
- About DevOps & Cloud Native
- Overview of Cloud Native Postgres
- Storage for Postgres workloads in Kubernetes
- Start Using Cloud-Native Postgres
- Demo
Deep Dive - Usage of on premises data gateway for hybrid integration scenariosSajith C P Nair
Presentation delivered by Sajith C P, Integration Architect at the 2017 Global Integration Bootcamp, Bangalore.
https://www.biztalk360.com/gib2017-india/#speakers[inline]/7/
In this session the speaker talked about ‘on-premises data gateway’ as a secure centralized gateway that can be used for accessing on premise data from various Azure Services. He took a deep dive on how it works, how to install and various methods to troubleshoot connectivity. He concluded the session with few demos of its use in Azure Logic App, Microsoft Flow, Power Apps and Power BI.
We will examine most of the features that this “Swiss knife” software provides. It is an in-memory fabric that fits between the database and the application layer. Apache Ignite is powered by the H2 engine. They have used it to create an in-memory distributed ACID, fully ANSI-99 complaint, Highly Available (HA) and scalable database. They have used a non-consensus (https://en.wikipedia.org/wiki/Rendezvous_hashing) clustering algorithm to be even more scalable compared to other NoSql solutions. This tool respects the relational data model that we have used for so many years and eliminates traditional problems like the “expensive joins” since it uses the RAM as the primary storage medium. We will see what this tool can do in action through hands-on examples.
One Hadoop, Multiple Clouds - NYC Big Data MeetupAndrei Savu
The slide deck I presented at NYC Big Data Meetup just before Strata + Hadoop World 2015. It goes into details on what's different about running Hadoop in the cloud, main use case and some lessons learned from working with customers.
One of the main reasons we hear for not being able to migrate from Oracle to PostgreSQL is the fact that “We absolutely, definitively must have RAC”. Despite its cost and complexity, RAC is widely used in response to a variety of (real or imagined) performance, high availability and/or scalability requirements. PostgreSQL does not have an equivalent to RAC. But does anyone really need it?
This talk investigates whether or not RAC is actually required in most situations and looks at the alternatives that are available to us in PostgreSQL.
Unlock Hadoop Success with Cloudera Navigator OptimizerCloudera, Inc.
Cloudera Navigator Optimizer analyzes existing SQL workloads to provide instant insights into your workloads and turns that into an intelligent optimization strategy so you can unlock peak performance and efficiency with Hadoop.
Need to dive into #MySQL suddenly and find out, briefly, what can be done with MySQL technology? NoSQL, MySQL 8.0, Highly Available, InnoDB Cluster & MySQL Cluster both Community & Enterprise Edition. It's all here.
MySQL 8.0 is the latest Generally Available version of MySQL. Discover the new Document Store, using SQL and NoSQL (js, python, CRUD, etc.) with the same database, Data Dictionary, Invisible Indexes, the new default UTF8MB4 charset (for emojis), Windows Functions, Common Table Expressions, and so much more.
Apache Camel has fundamentally changed the way enterprise Java™ developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the enterprise integration world together with Linux containers, running on top of Kubernetes/OpenShift, and deployed as microservices, which are both cloud-native and cloud-portable.
JEEConf 2018 - Camel microservices with Spring Boot and KubernetesClaus Ibsen
Apache Camel has fundamentally changed the way enterprise Java developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the EIP world together with containers, running on top of Kubernetes, and deployed as Spring Boot microservices, which are both cloud-native and cloud-portable.
Building and designing cloud-native microservices impacts how we develop. We’ll discuss practices how to build distributed and fault-tolerant microservices with technologies such as Kubernetes Services, Netflix Hystrix, Camel EIP patterns, and Istio. You will see live demos of us killing containers to test fault tolerance, and more.
Best Practices for running the Oracle Database on EC2 webinarTom Laszewski
Best practices for running the Oracle Database on EC2 including storage, security, networking, EC2, deployment, deployment, management, and monitoring.
Optimizing Spark Deployments for Containers: Isolation, Safety, and Performan...Spark Summit
Developers love Linux containers, which neatly package up an application and its dependencies and are easy to create and share. However, this unbeatable developer experience hides some deployment challenges for real applications: how do you wire together pieces of a multi-container application? Where do you store your persistent data if your containers are ephemeral? Do containers really contain and isolate your application, or are they merely hiding potential security vulnerabilities? Are your containers scheduled across your compute resources efficiently, or are they trampling on one another?
Container application platforms like Kubernetes provide the answers to some of these questions. We’ll draw on expertise in Linux security, distributed scheduling, and the Java Virtual Machine to dig deep on the performance and security implications of running in containers. This talk will provide a deep dive into tuning and orchestrating containerized Spark applications. You’ll leave this talk with an understanding of the relevant issues, best practices for containerizing data-processing workloads, and tips for taking advantage of the latest features and fixes in Linux Containers, the JDK, and Kubernetes. You’ll leave inspired and enabled to deploy high-performance Spark applications without giving up the security you need or the developer-friendly workflow you want.
What's new in MySQL Cluster 7.4 webinar chartsAndrew Morgan
MySQL Cluster powers the subscriber databases of major communication services providers as well as next generation web, cloud, social and mobile applications. It is designed to deliver:
- Real-time, in-memory performance for both OLTP and analytics workloads
- Linear scale-out for both reads and writes
99.999% High Availability
- Transparent, cross-shard transactions and joins
- Update-Anywhere Geographic replication
- SQL or native NoSQL APIs
All that while still providing full ACID transactions.
Spark SQL: Another 16x Faster After Tungsten: Spark Summit East talk by Brad ...Spark Summit
Apache Spark 2.1.0 boosted the performance of Apache Spark SQL due to Project Tungsten software improvements. Another 16x times faster has been achieved by using Oracle’s innovations for Apache Spark SQL. This 16x improvement is made possible by using Oracle’s Software in Silicon accelerator offload technologies.
Apache Spark SQL In-memory performance is becoming more important due to many factors. Users are now performing more advanced SQL processing on multi-terabyte workloads. In addition on-prem and cloud servers are getting larger physical memory to enable storing these huge workloads be stored in memory. In this talk we will look at using Spark SQL in feature creation, feature generation within pipelines for Spark ML.
This presentation will explore workloads at scale and with complex interactions. We also provide best practices and tuning suggestion to support these kinds of workloads on real applications in cloud deployments. In addition ideas for next generation Tungsten project will also be discussed.
Cloud-Native PostgreSQL is a Kubernetes Operator for Postgres written by EDB entirely from scratch in the Go language and relying exclusively on the Kubernetes API.
This webinar covered:
- About DevOps & Cloud Native
- Overview of Cloud Native Postgres
- Storage for Postgres workloads in Kubernetes
- Start Using Cloud-Native Postgres
- Demo
Deep Dive - Usage of on premises data gateway for hybrid integration scenariosSajith C P Nair
Presentation delivered by Sajith C P, Integration Architect at the 2017 Global Integration Bootcamp, Bangalore.
https://www.biztalk360.com/gib2017-india/#speakers[inline]/7/
In this session the speaker talked about ‘on-premises data gateway’ as a secure centralized gateway that can be used for accessing on premise data from various Azure Services. He took a deep dive on how it works, how to install and various methods to troubleshoot connectivity. He concluded the session with few demos of its use in Azure Logic App, Microsoft Flow, Power Apps and Power BI.
We will examine most of the features that this “Swiss knife” software provides. It is an in-memory fabric that fits between the database and the application layer. Apache Ignite is powered by the H2 engine. They have used it to create an in-memory distributed ACID, fully ANSI-99 complaint, Highly Available (HA) and scalable database. They have used a non-consensus (https://en.wikipedia.org/wiki/Rendezvous_hashing) clustering algorithm to be even more scalable compared to other NoSql solutions. This tool respects the relational data model that we have used for so many years and eliminates traditional problems like the “expensive joins” since it uses the RAM as the primary storage medium. We will see what this tool can do in action through hands-on examples.
One Hadoop, Multiple Clouds - NYC Big Data MeetupAndrei Savu
The slide deck I presented at NYC Big Data Meetup just before Strata + Hadoop World 2015. It goes into details on what's different about running Hadoop in the cloud, main use case and some lessons learned from working with customers.
One of the main reasons we hear for not being able to migrate from Oracle to PostgreSQL is the fact that “We absolutely, definitively must have RAC”. Despite its cost and complexity, RAC is widely used in response to a variety of (real or imagined) performance, high availability and/or scalability requirements. PostgreSQL does not have an equivalent to RAC. But does anyone really need it?
This talk investigates whether or not RAC is actually required in most situations and looks at the alternatives that are available to us in PostgreSQL.
Unlock Hadoop Success with Cloudera Navigator OptimizerCloudera, Inc.
Cloudera Navigator Optimizer analyzes existing SQL workloads to provide instant insights into your workloads and turns that into an intelligent optimization strategy so you can unlock peak performance and efficiency with Hadoop.
Need to dive into #MySQL suddenly and find out, briefly, what can be done with MySQL technology? NoSQL, MySQL 8.0, Highly Available, InnoDB Cluster & MySQL Cluster both Community & Enterprise Edition. It's all here.
MySQL 8.0 is the latest Generally Available version of MySQL. Discover the new Document Store, using SQL and NoSQL (js, python, CRUD, etc.) with the same database, Data Dictionary, Invisible Indexes, the new default UTF8MB4 charset (for emojis), Windows Functions, Common Table Expressions, and so much more.
Apache Camel has fundamentally changed the way enterprise Java™ developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the enterprise integration world together with Linux containers, running on top of Kubernetes/OpenShift, and deployed as microservices, which are both cloud-native and cloud-portable.
JEEConf 2018 - Camel microservices with Spring Boot and KubernetesClaus Ibsen
Apache Camel has fundamentally changed the way enterprise Java developers think about system-to-system integration by making enterprise integration patterns (EIP) a simple declaration in a lightweight application wrapped and delivered as a single JAR.
In this session, we’ll show you how to bring the best practices from the EIP world together with containers, running on top of Kubernetes, and deployed as Spring Boot microservices, which are both cloud-native and cloud-portable.
Building and designing cloud-native microservices impacts how we develop. We’ll discuss practices how to build distributed and fault-tolerant microservices with technologies such as Kubernetes Services, Netflix Hystrix, Camel EIP patterns, and Istio. You will see live demos of us killing containers to test fault tolerance, and more.
Cloud-Native Integration with Apache Camel on Kubernetes (Copenhagen October ...Claus Ibsen
Cloud-native applications of the future will consist of hybrid workloads: stateful applications, batch jobs, microservices, and functions, wrapped as Linux containers and deployed via Kubernetes on any cloud.
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
- Apache Camel 3
- Camel K
- Camel Quarkus
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
We will show how Camel K works. We'll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
Apache Camel v3, Camel K and Camel QuarkusClaus Ibsen
In this session, we will explore key challenges with function interactions and coordination, addressing these problems using Enterprise Integration Patterns (EIP) and modern approaches with the latest innovations from the Apache Camel community:
Apache Camel is the Swiss army knife of integration, and the most powerful integration framework. In this session you will hear about the latest features in the brand new 3rd generation.
Camel K, is a lightweight integration platform that enables Enterprise Integration Patterns to be used natively on any Kubernetes cluster. When used in combination with Knative, a framework that adds serverless building blocks to Kubernetes, and the subatomic execution environment of Quarkus, Camel K can mix serverless features such as auto-scaling, scaling to zero, and event-based communication with the outstanding integration capabilities of Apache Camel.
- Apache Camel 3
- Camel K
- Camel Quarkus
We will show how Camel K works. We’ll also use examples to demonstrate how Camel K makes it easier to connect to cloud services or enterprise applications using some of the 300 components that Camel provides.
State of integration with Apache Camel (ApacheCon 2019)Claus Ibsen
Apache Camel is the leading open source integration framework, which has been around for over a decade. In this talk we will look back in history, to understand how the integration landscape has evolved from EAI, SOA, and ESB architectures up to microservices, and now with modern serverless and cloud native platforms. Apache Camel has been along for the ride. And we will look to the future and see how the latest release v3 of Apache Camel, is aimed for running modern cloud native workloads with Camel K. In this talk you will: Learn from history software integration, and why you should rely on existing, proven fully featured integration frameworks instead of rolling out your own DIY solutions. See how software integration is (still) important in today’s modern architectures and what role does Camel have in the new cloud native world. What is new and noteworthy in Apache Camel version 3
Integrating microservices with apache camel on kubernetesClaus Ibsen
Apache Camel has fundamentally changed the way Java developers build system-to-system integrations by using enterprise integration patterns (EIP) with modern microservice architectures. In this session, we’ll show you best practices with Camel and EIPs, in the world of Spring Boot microservices running on Kubernetes. We'll also discuss practices how to build truly cloud-native distributed and fault-tolerant microservices and we’ll introduce the upcoming Camel 3.0 release, which includes serverless capabilities via Camel K. This talk is a mix with slides and live demos.
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
What are important considerations when modernizing middleware and moving towards serverless and/or cloud native integration architectures? How can we make the most of flexible technologies such as Camel K, Kafka, Quarkus and OpenShift. Claus is working as project lead on Apache Camel and has extensive experience from open source product development.
The talk was recorded and runs for 30 minutes and published on youtube at: https://www.youtube.com/watch?v=d1Hr78a7Lww
Building Machine Learning Inference Pipelines at Scale (July 2019)Julien SIMON
Talk at OSCON, Portland, 18/07/2019
Real-life Machine Learning applications require more than a single model. Data may need pre-processing: normalization, feature engineering, dimensionality reduction, etc. Predictions may need post-processing: filtering, sorting, combining, etc.
Our goal: build scalable ML pipelines with open source (Spark, Scikit-learn, XGBoost) and managed services (Amazon EMR, AWS Glue, Amazon SageMaker)
(BDT208) A Technical Introduction to Amazon Elastic MapReduceAmazon Web Services
"Amazon EMR provides a managed framework which makes it easy, cost effective, and secure to run data processing frameworks such as Apache Hadoop, Apache Spark, and Presto on AWS. In this session, you learn the key design principles behind running these frameworks on the cloud and the feature set that Amazon EMR offers. We discuss the benefits of decoupling compute and storage and strategies to take advantage of the scale and the parallelism that the cloud offers, while lowering costs. Additionally, you hear from AOL’s Senior Software Engineer on how they used these strategies to migrate their Hadoop workloads to the AWS cloud and lessons learned along the way.
In this session, you learn the benefits of decoupling storage and compute and allowing them to scale independently; how to run Hadoop, Spark, Presto and other supported Hadoop Applications on Amazon EMR; how to use Amazon S3 as a persistent data-store and process data directly from Amazon S3; dDeployment strategies and how to avoid common mistakes when deploying at scale; and how to use Spot instances to scale your transient infrastructure effectively."
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
Assembling an AWS CloudFormation Authoring Tool Chain (DEV368-R2) - AWS re:In...Amazon Web Services
Developers live by their tools. In this chalk talk, we build an AWS CloudFormation template authoring environment by reviewing various IDEs, validation plugins, source control, and testing tools in order to improve your productivity.
A typical website generally contains a mix of static and dynamic content. Static content includes images or style sheets; dynamic or application generated content includes elements of your site that are personalized to each viewer. In this session, we'll provide an overview on how you can use Amazon CloudFront to help architect your whole site. We’ll demonstrate how you can use Amazon CloudFront to help architect your site to deliver both static and dynamic content (portions of your site that change for each end-user). We’ll also walk through how you can configure multiple origin servers for your Amazon CloudFront distribution providing you the flexibility to keep your content in different origin locations without the need to create multiple distributions or manage multiple domain names on your website.. We also show you how you can use query string parameters to help customize your web pages for each viewer and how you can configure multiple cache behaviors for your download distribution based on URL patterns on your website.
by Francesco Ruffino, SR. HPC Specialized Solutions
Architect, AWS
High Performance Computing (HPC) has been driving technology advancements for many decades. HPC enables performance-demanding applications and workloads to solve complex problems while dramatically reducing time to solution. With a history of requiring very large data centers, HPC is now on the edge of a paradigm shift. The AWS Cloud will allow customers to have access to near infinite compute and storage resources, without the overhead of running their own data centers. There are a vast number of HPC segments and verticals that are already seeing great success running their workloads on AWS. Life Sciences, Financial Services, Energy & Geo Sciences, as well as Manufacturing are successfully deploying their applications on AWS. In these two sessions we will discuss how AWS can help you run HPC workloads in the cloud. The first session will be a general introduction to HPC on AWS.
Running Apache Spark Jobs Using KubernetesDatabricks
Apache Spark has introduced a powerful engine for distributed data processing, providing unmatched capabilities to handle petabytes of data across multiple servers. Its capabilities and performance unseated other technologies in the Hadoop world, but while Spark provides a lot of power, it also comes with a high maintenance cost, which is why we now see innovations to simplify the Spark infrastructure.
Running a Cost-Effective DynamoDB-Compatible Database on Managed Kubernetes S...DevOps.com
Scylla is an open source drop-in NoSQL replacement for Amazon's DynamoDB (and Apache Cassandra) with lightning-fast throughput and ultra-low latency. Scylla provides a cost-effective (1/7th the TCO) alternative to Amazon’s DynamoDB that's deployable anywhere: on-premises, on any public cloud ( Azure GCP, AWS) or as a fully managed DBaaS.
In 2022 we heard your GitOps questions at meetups and gatherings, big stages and local panels and one question was often top of mind: how do I get started? The benefits of GitOps are calling your name, but getting started isn’t that straightforward.
Red Hat is excited to kick off 2023 with a DevNation TechTalk, focused on GitOps to help you sift through your questions. At DevNation you’ll hear from passionate GitOps practitioners about the pitfalls to avoid and hurdles to jump while kicking off or evolving your GitOps practices. This event is aimed at audiences that are new to GitOps or early in their practice development within a cloud native environment.
During this live session you’ll learn:
Upcoming updates and key milestones in the ArgoCD roadmap and how Red Hat will support them
How to simplify the delivery GitOps across multi-cloud environments
GitOps best practices from experts at:
PostNord Strålfors: Filip Jansson
Arbetsförmedlingen: Misho Kmetovski & Richard Hermansson
Swiss Railways (SBB): Manuel Wallrapp & Thomas Bruederli
Plus stick around for an “Ask me Anything” segment to ask any outstanding questions live.
Modern cloud-native applications are incredibly complex systems. Keeping the systems healthy and meeting SLAs for our customers is crucial for long-term success. In this session, we will dive into the three pillars of observability - metrics, logs, tracing - the foundation of successful troubleshooting in distributed systems. You'll learn the gotchas and pitfalls of rolling out the OpenTelemetry stack on Kubernetes to effectively collect all your signals without worrying about a vendor lock in. Additionally we will replace parts of the Prometheus stack to scrape metrics with OpenTelemetry collector and operator.
GitHub plays a key role in the everyday work of thousands of developers and is a central piece of the open-source software ecosystem. Even though it is getting better and better every day, it still misses some key features that we need. If you want a better way of reviewing PRs, navigating through the code or better yet - writing the code without leaving the browser - this talk is for you!
This talk will be demo driven, and as the title suggests, we will start with the aesthetic revamp. But we definitely won’t stop there! You will also learn a few cool things about interacting with GitHub through the command line. So not only your UI will be officially revamped, but you will also gain a productivity boost.
Quinoa: A modern Quarkus UI with no hassles | DevNation tech TalkRed Hat Developers
The Quarkus Quinoa extension takes care of all the web UI build/wiring/dev-mode hassles and lets you focus on your web application logic. In this tech talk, we’ll bring a shopping list app to life with Quarkus, Hibernate as a backend, and React as a frontend. Quinoa will be the glue that makes it all work seamlessly from dev to production.
Extra micrometer practices with Quarkus | DevNation Tech TalkRed Hat Developers
How do you know you have improved the performance of your portfolio of applications? By measuring it, of course! The ultimate goal of gathering application metrics is to have a standardized practice that is applicable across multiple microservices and that adds minimal runtime overhead. Join this session to discuss what metrics are available out of the box with the Quarkus micrometer extensions, what (and, more importantly, why) you should customize, and how those pieces of information will impact your development outcomes.
Event-driven autoscaling through KEDA and Knative Integration | DevNation Tec...Red Hat Developers
This talk will teach you how to redesign an event-driven autoscaling architecture for cloud-native microservices by utilizing Apache Kafka, Knative, and KEDA infrastructure. You will also learn how to deploy serverless applications (Quarkus) using a Knative service. Finally, KEDA will enable you to autoscale Knative Eventing components (KafkaSource) through events consumption over standard resources (CPU, memory).
Loom is among the most highly anticipated projects in the Java world. It promises to address concurrency and Java execution model issues by providing virtual threads. Thus, there is no need to write concurrent programs using asynchronous or reactive APIs; it will be possible to use the traditional imperative model and let Loom handle the rest. The JVM will execute the program and leverage non-blocking APIs automatically!
Sounds good, doesn't it? How does it work, though? Are there any hidden costs? What is Loom going to change in modern Java frameworks? We will answer these questions in this talk. Starting with the integration of Loom in Quarkus, we will compare the different approaches we considered, discuss their respective pros and cons, and show how Loom might change the Java world.
Quarkus Renarde 🦊♥: an old-school Web framework with today's touch | DevNatio...Red Hat Developers
Quarkus Renarde 🦊♥ is a new Web framework based on Quarkus. This framework focuses not on microservices but web applications and makes Quarkus even easier to use for web apps: - Endpoints based on convention, even easier than RESTEasy Reactive and JAX-RS - Server-side templating with Qute - Validation with Hibernate Validation - Data with Hibernate ORM or Reactive with Panache - Simple authentication with OpenID Connect or WebAuthn Quarkus Renarde 🦊♥ can deliver all this while still providing the joy of developing with Quarkus, with live reload, continuous testing, the Dev, and more.
Recent changes in one desktop product generated many doubts in developer communities regarding containers. Can we still use or create them? Do we have alternatives to docker? We have some answers! Join us in this session to learn more about some popular docker alternatives. You can create containers without docker, and you can also run and publish them. There's life after docker, and containers are here to stay.
Distributed deployment of microservices across multiple OpenShift clusters | ...Red Hat Developers
Hybrid-cloud and multi-cloud patterns are the next application deployment architectures, and Kubernetes is the de facto container orchestration engine. 50% of production Kubernetes workloads involve some form of microservices applications. How can we manage this inter-cluster application connectivity? Meet Skupper: an open-source project that solves multi-cloud communication for Kubernetes. In this Tech Talk, you will briefly learn about Skupper and watch a live demo of an e-commerce application with 10 microservices spanning three OpenShift clusters running on three different public cloud providers.
DevNation Workshop: Object detection with Red Hat OpenShift Data Science [Mar...Red Hat Developers
In this workshop, you’ll learn an easy way to incorporate data science and AI/ML into an OpenShift development workflow. As an example, you’ll use an object detection model to detect ‘dog(s)’ in an image.
You will:
Use Jupyter Notebooks and TensorFlow to explore a pre-trained object detection model
Serve the model in a REST API as a Flask App
Use Source-to-Image (S2I) to build and deploy the Flask app
Explore Kafka streams from Notebooks
Deploy a Kafka consumer with the same object detection model
You’ll be able to do all of this without having to install anything on your own computer, thanks to Red Hat OpenShift Data Science and Red Hat OpenShift Streams for Apache Kafka.
Note: Beginner data handling and Python skills are required for this workshop.
Dear security, compliance, and auditing: We’re sorry. Love, DevOps | DevNatio...Red Hat Developers
DevOps solved the conflict between development and operations, but other essential aspects of the delivery lifecycle—security, compliance, and audit—were left out. DevSecOps is an excellent reminder that security must be DevOps’d, but compliance and audit are still missing. There’s no need for a new DevSecAuditComplianceOps buzzword; instead, let’s talk about continuous authorization, which applies Zero Trust principles to continuous monitoring. In this tech talk, Bill Bensing will discuss practical ways to start with continuous authorization for the software delivery lifecycle using Ploigos.
11 CLI tools every developer should know | DevNation Tech TalkRed Hat Developers
What's your favorite IDE? VS Code? IDEA? Eclipse? Visual Studio? The right IDE is fundamental to your productivity as a developer, but you might need something else to become more outstanding. Why don't we take a look at your terminal? Come to this session to learn eleven CLI tools that will boost your developer productivity.
A Microservices approach with Cassandra and Quarkus | DevNation Tech TalkRed Hat Developers
We will dissect the world famous todo app that provides a REST API (which is the foundation of microservices) with data backed by Apache Cassandra. We will leverage the TODO MVC and the TODO backend projects with the back end that we will build with Quarkus and Cassandra. Attendees will get an overview of Cassandra, including the driver for Quarkus. Through live coding (that attendees can try out later) in a cloud-based environment, primarily in Quarkus and Cassandra, attendees will understand how to implement and connect the APIs to the backend and leverage the generic client(s)provided. After attending this session attendees will walk away with a good understanding of implementing microservices using Cassandra and Quarkus. They will also get a working knowledge of how Astra (Cassandra as a service) can be leveraged in other solutions.
GitHub Actions and OpenShift: Supercharging your software development loops...Red Hat Developers
Every software developer wants more productivity. What if the only commands you needed to deploy were "git commit" and "git push"? Join us as we walk you through a live demonstration of how you can ship your lovely application code from your local machine to a free OpenShift cluster, fully automated through GitHub Actions. By the end of this session, you'll have a sound understanding of building a GitHub Action workflow for your codebase that leverages OpenShift to deploy your application.
To the moon and beyond with Java 17 APIs! | DevNation Tech TalkRed Hat Developers
Since moving to a 6 monthly release cadence, the Java platform is evolving more dynamically than ever before. It can be quite a challenge to stay on top of all the changes and new features. In this talk we're going to explore the most important developments in the Java API: which classes have been added, and what has been removed? Join Duke, the Java mascot, for a trip to space and learn which exciting new APIs provided by the Java platform can help him with his journey:
The Java Vector API for utilizing the SIMD capabilities of modern CPU architectures
The Foreign Linker API for integrating with native code
The JFR Event Streaming API for publishing JDK Flight Recorder Events
We'll also take a look at some useful changes to the Java runtime, such as CDS archives for a faster spaceship..., uhm, application launch!
Profile your Java apps in production on Red Hat OpenShift with Cryostat | Dev...Red Hat Developers
Did you know that OpenJDK comes with Java Flight Recorder (JFR), an embedded production time profiler? Cryostat provides easy and secure access to JFR across container boundaries so you can profile that performance bottleneck, or find that annoying bug. Join this session to learn about using Cryostat to profile Java applications in production on OpenShift.
Kafka at the Edge: an IoT scenario with OpenShift Streams for Apache Kafka | ...Red Hat Developers
Apache Kafka is taking the world by storm and is rapidly becoming the de-facto event bus for event-driven and streaming applications that respond to events and data in real time. OpenShift Streams for Apache Kafka is Red Hat's fully hosted and managed Apache Kafka service targeting development teams that want to incorporate streaming data and scalable messaging in their applications, without the burden of setting up and maintaining a Kafka cluster infrastructure.
In this session you will discover how Apache Kafka can be used in an IoT scenario to ingest data from devices and make them available in real-time to other applications.
More specifically you will learn how to:
Simulate devices that send MQTT messages to a MQTT broker
Use Apache Camel and Camel-K to bridge MQTT with Apache Kafka
Use Kafka Streams in a Quarkus application to process the device messages
Query the state of the devices using GraphQ
Kubernetes configuration and security policies with KubeLinter | DevNation Te...Red Hat Developers
With Kubernetes, implementing security policies can be challenging. First, developers, administrators, and security teams need to understand security policies in collaboration to have the best chance of successful adoption. Next, policy enforcement needs to integrate with developer workflows. Lastly, policies need to contain corrective action that is as close to the developer as possible. KubeLinter solves these problems by linting Kubernetes YAML files and Helm charts at the source: the developer.
In this session, we will evaluate KubeLinter by moving through a hands-on demo of the application, showing a use case for local machines and CI pipeline integration, and chatting about how best to integrate it into your organization:
KubeLinter, and its default checks
How you can leverage the application in your day-to-day operations
The open source StackRox community
Level-up your gaming telemetry using Kafka Streams | DevNation Tech TalkRed Hat Developers
Many modern video games are constantly evolving post-release. New maps, game modes, and game balancing adjustments are rolled out, often on a weekly basis. This continuous iteration to improve player engagement and satisfaction requires data-driven decision making based on events and telemetry captured during gameplay, and from community forums and discussions.
In this session you will learn how OpenShift Streams for Apache Kafka and Kafka Streams can be used to analyze real-time events and telemetry reported by a game server, using a practical example that encourages audience participation. Specifically you’ll learn how to:
Provision Kafka clusters on OpenShift Streams for Apache Kafka.
Develop a Java application that uses Kafka Streams and Quarkus to process event data.
Deploy the application locally, or on OpenShift and connect it to your OpenShift Streams for Apache Kafka Cluster.
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).
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.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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.
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.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
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.
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.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
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.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
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.
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.
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.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
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/
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.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
2. About me
● Senior Principal Software Engineer at Red Hat
● 9 years as full time Apache Camel committer
● Author of Camel in Action books
● Based in Denmark, Europe
Blog: http://www.davsclaus.com
Twitter: @davsclaus
Linkedin: davsclaus
E-Mail: cibsen@redhat.com
5. PATTERN BASED INTEGRATION
200+
COMPONENTS
Batch, messaging,
web services, cloud,
APIs, and more ...
BUILT-IN DATA
TRANSFORMATION
JSON, XML, HL7,
YAML, SOAP, Java,
CSV, and more ...
INTUITIVE
ROUTING
Develop
integrations quickly
in Java or XML.
ENTERPRISE
INTEGRATION
PATTERNS
Build integrations
using enterprise best
practices.
Create, connect,
and compose APIs
with ease.
NATIVE REST
SUPPORT
Apache Camel, a powerful pattern-based integration engine with a comprehensive
set of connectors and data formats to tackle any integration problem.
39. Best Practice - Small in Size
● Camel is light-weight
○ (camel-core 4mb)
● Add only Camel component you need
● Single fat-jar via
○ Spring Boot
○ WildFly-Swarm
○ Vert.X
○ etc.
40. Best Practice - Stateless
● Favour stateless applications
● If state is needed:
○ Data-grid
■ camel-infinispan
■ camel-hazelcast
■ camel-ignite
■ ...
○ Database
■ camel-sql
■ camel-jpa
■ ...
○ Kubernetes Stateful-set
41. Best Practice - Configuration Management
● Kubernetes ConfigMap
○ Inject via ENV
○ Inject via files
● Kubernetes Secrets
○ Inject via ENV
○ Inject via files
○ Inject via files on classpath
$ oc get cm -o yaml my-configmap
apiVersion: v1
data:
fallback: I still got no response
kind: ConfigMap
42. Best Practice - Fault Tolerant
● Camel Retry
○ onException
○ errorHandler
● Camel Hystrix
○ circuit breaker
43. Best Practice - Fault Tolerant
● Camel Retry
○ onException
○ errorHandler
Thundering Herd Problem
44. Best Practice - Health Checks
● Health Checks
○ camel-spring-boot actuator
○ wildfly-swarm monitor
● Readiness Probe
○ Kubernetes
● Liveness Probe
○ Kubernetes
52. More Information
● Slides and Demo source code:
https://github.com/davsclaus/camel-riders-in-the-cloud
● Apache Camel website:
http://camel.apache.org
● Best "What is Apache Camel" article:
https://dzone.com/articles/open-source-integration-apache
● My blog:
http://www.davsclaus.com
● DevNation Live
https://developers.redhat.com/devnationlive
53. Camel in Action 2nd edition
● Discount code (40%):
ctwdevnatlive18
(ordering from Manning)
https://www.manning.com/books/camel-in-action-second-edition