Developers are excited about serverless computing, and rightfully so. With serverless, developers can spend more time writing code and less time worrying about, you guessed it, servers! But is serverless the right abstraction for every workload? How does serverless differ from an application platform? And despite the name, there need to be servers somewhere … Who’s managing them?
Join us for a look at serverless computing and what it means for both developers and operations teams in the enterprise. In this webinar, Guest Speaker Forrester VP and Principal Analyst John Rymer and Pivotal’s Mark Fisher will cover:
- What serverless is (and what it isn’t)
- The current serverless open source and market landscapes
- How serverless fits into modern application infrastructure
- What workloads are best suited to serverless (and which aren’t)
- Advice to developers (and operations teams) for getting started with serverless
Presenters : Mark Fisher, Pivotal and John Rymer, Forrester
Connect Faster with SnapLogic at Workday RisingSnapLogic
The SnapLogic team recently attended Workday Rising in Las Vegas. In this presentation, learn how SnapLogic is the leader in Workday® integration solutions for rapidly orchestrating process and data across the human resources information system (HRIS) application landscape.
To learn more, visit: snaplogic.com/workday
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
Webinar: Big Data Integration - Why Same Old, Same Old Won't Cut ItSnapLogic
In this webinar, we talk about what role traditional extraction, transformation and load (ETL) tools will play when it comes to big data analytics as the organizing principles of managing big (and small) data are in the midst of being rewritten.
We also discuss new trends in the big data market, what’s changing and the impact of Spark, while reviewing some of the use cases we’re seeing for a more flexible integration platform as a service (iPaaS) that can handle multiple styles of ingesting, synchronizing and transforming big data sources.
To learn more, visit: http://www.snaplogic.com/solutions/big-data
Webinar: Introducing the SnapLogic Elastic Integration Platform Summer 2014 R...SnapLogic
In this webinar, we talk about our Summer 2014 release and how our single integration platform as a service (iPaaS) allows you to connect your big data sources, cloud and legacy applications and enterprise APIs. We also discuss our newest features including new and updated Snaps, a Snap-building community for Java developers and SAML 2.0 single sign on user authentication.
To learn more, visit: http://www.snaplogic.com/summer2014
SnapLogic Overview: Are You Feeling SMACT?SnapLogic
Are you feeling SMACT? Social. Mobile. Analytics and Big Data. Cloud Computing. The Internet of Things. What an amazing and disruptive time it is in the world of data. But with so much innovation, and change, are you ready to handle the new integration requirements of the modern enterprise? We call this the Integrator’s Dilemma. Whether it’s Salesforce, ServiceNow, Workday, or other cloud applications connecting to each other and on-premises systems like SAP and Oracle, or Hadoop platforms like Cloudera and Hortonworks for big data analytics, there is a growing demand to allow “citizen integrators” to access, transform and deliver the data they need when they need it.
This presentation reviews the new data, application and API integration challenges and point to the solution that CIOs across a number of industries are turning to in order to stay connected and run at cloud speed.
To learn more, visit: http://www.snaplogic.com/ipaas
Hadoop for Humans: Introducing SnapReduce 2.0SnapLogic
In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery.
To learn more, visit: http://www.snaplogic.com/snapreduce
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
Connect Faster with SnapLogic at Workday RisingSnapLogic
The SnapLogic team recently attended Workday Rising in Las Vegas. In this presentation, learn how SnapLogic is the leader in Workday® integration solutions for rapidly orchestrating process and data across the human resources information system (HRIS) application landscape.
To learn more, visit: snaplogic.com/workday
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
Webinar: Big Data Integration - Why Same Old, Same Old Won't Cut ItSnapLogic
In this webinar, we talk about what role traditional extraction, transformation and load (ETL) tools will play when it comes to big data analytics as the organizing principles of managing big (and small) data are in the midst of being rewritten.
We also discuss new trends in the big data market, what’s changing and the impact of Spark, while reviewing some of the use cases we’re seeing for a more flexible integration platform as a service (iPaaS) that can handle multiple styles of ingesting, synchronizing and transforming big data sources.
To learn more, visit: http://www.snaplogic.com/solutions/big-data
Webinar: Introducing the SnapLogic Elastic Integration Platform Summer 2014 R...SnapLogic
In this webinar, we talk about our Summer 2014 release and how our single integration platform as a service (iPaaS) allows you to connect your big data sources, cloud and legacy applications and enterprise APIs. We also discuss our newest features including new and updated Snaps, a Snap-building community for Java developers and SAML 2.0 single sign on user authentication.
To learn more, visit: http://www.snaplogic.com/summer2014
SnapLogic Overview: Are You Feeling SMACT?SnapLogic
Are you feeling SMACT? Social. Mobile. Analytics and Big Data. Cloud Computing. The Internet of Things. What an amazing and disruptive time it is in the world of data. But with so much innovation, and change, are you ready to handle the new integration requirements of the modern enterprise? We call this the Integrator’s Dilemma. Whether it’s Salesforce, ServiceNow, Workday, or other cloud applications connecting to each other and on-premises systems like SAP and Oracle, or Hadoop platforms like Cloudera and Hortonworks for big data analytics, there is a growing demand to allow “citizen integrators” to access, transform and deliver the data they need when they need it.
This presentation reviews the new data, application and API integration challenges and point to the solution that CIOs across a number of industries are turning to in order to stay connected and run at cloud speed.
To learn more, visit: http://www.snaplogic.com/ipaas
Hadoop for Humans: Introducing SnapReduce 2.0SnapLogic
In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery.
To learn more, visit: http://www.snaplogic.com/snapreduce
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
The Impact of SMACT on the Data Management StackSnapLogic
This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
This presentation, which Ryan Shopp gave at Data Center World on Oct. 5, 2010, describes today's data center challenges and how to fix them, as well as the following five steps on the journey from virtualization to cloud:
1. Pair virtualization with management
2. Don’t just use the same old tools
3. Integrate lifecycle management disciplines
4. Integrate management across domains
5. Virtualization management + automation + service management = cloud
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Pivotal Digital Transformation Forum: Becoming a Data Driven EnterpriseVMware Tanzu
Next Steps in Your Digital Transformation
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Next Steps In Your Digital TransformationVMware Tanzu
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Speaker: Fadi Yousuf, Sales Manager - Gulf & KSA, Pivotal
The SnapLogic Integration Cloud for ServiceNowSnapLogic
Learn more about using the SnapLogic Integration Cloud to unlock ServiceNow potential by integrating it with major ITSM Cloud and on-premise applications including BMC Remedy, CA Clarity, SAP SolutionManager, and Workday. SnapLogic’s ServiceNow integration will greatly improve efficiency and quality of IT service management.
To learn more, visit: http://www.snaplogic.com/solutions/servicenow-integration.
In this webinar series, we’re going to get you up to speed with the most foundational and critical categories of business intelligence: Reporting, Dashboards, Embedded Analytics (in apps), and Data Integration and Virtualisation.
In this webinar you will learn:
- How to build your first report (using 2 different techniques)
- Best practices for reporting: designing reports and running an effective reporting system
- Distributing reports: methods for delivering reports to users
The future of application and data integration is in the cloud. The SnapLogic Integration Cloud.
Your personal information, including your email address, will be held in the strictest of confidence and will never be shared with anyone.
In a world that has never been more connected, how do you ensure that your business data isn't fragmented?
Salesforce, ServiceNow, Workday - are they streamlined or SaaS silos?
Whether you need real-time application integration, business process automation, or better business analytics, SnapLogic delivers an integration platform as a service (iPaaS) that connects all of your cloud applications, APIs, and disparate data sources with the rest of the enterprise.\
Learn about the SnapLogic Integration Cloud Winter 2014 release:
- Get a faster time to value with our HTML5, cloud Designer
- Learn about Elastic Integration for hybrid and cloud-to-cloud deployments
- Dig into our enterprise-ready security, administration and monitoring
- Connect in a Snap with 160+ Snaps in the SnapStore
Learn more at http: http://www.snaplogic.com/
Have you fallen for the API lie? The API economy implies everything easily connects and simply needs to be governed and managed. But do the data integration pains simply go away? Find out in this Intellyx whitepaper written by Jason Bloomberg.
Read more at https://intellyx.com/2016/08/29/the-api-lie/ and learn how SnapLogic can alleviate data integration pains at www.snaplogic.com.
Strata + Hadoop World: Jump Into the Data Lake with Hadoop-Scale Data Integra...SnapLogic
At last week's Strata + Hadoop World in San Jose, CA SnapLogic Chief Scientist Greg Benson talked to big data experts, data scientists and other enterprise IT leaders about the data lake and how SnapLogic comes into play with Hadoop-scale data integration.
Check out this presentation to learn how SnapLogic helps customers adopt Hadoop and automate data integration workflows.
To learn more, visit: www.snaplogic.com/big-data
Alfresco DevCon 2018: Product Direction KeynoteRichard Esplin
In this keynote, Thomas De Meo welcomes the everyone to Alfresco DevCon 2018, and shares the current product direction.
https://www.youtube.com/watch?v=wv-FQwSlo3k&list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&index=14
5 Signs You Need to Re-Think Your Data Integration StrategyDarren Cunningham
“Data is the new oil.” As you re-think your information infrastructure to deliver on the promise of social, mobile, analytics, cloud, and IoT (SMACT) innovations, here are signs you may be struggling with the “Integrator’s Dilemma” and it's time to re-think your data and application strategy.
SnapLogic has been gaining traction in big-data integration. It recently announced the Fall 2015 release of its Elastic Integration Platform, which adds capabilities for big- data integration that now include Spark (an open source in-memory data-processing framework), a new Snap (preconfigured connector) for Cassandra (an open source distributed ‘big’ database) and support for Microsoft Cortana Analytics. SnapLogic is positioning this release as a self-service hybrid cloud integration offering, and it is intended to strengthen its position among Microsoft customers and others seeking cloud-based big-data analytics.
Webinar: SnapLogic Fall 2014 Release Brings iPaaS to the EnterpriseSnapLogic
In this webinar, we talk about our Fall 2014 release, which brings iPaaS to the enterprise by introducing data wrangling and significant SnapReduce enhancements for Hadoop 2.0 deployments.
We also discuss our newest features including Hadoop-enabled processing and big data acquisition, data mapping and shaping, hierarchical SmartLinking and new and updated Snaps.
To learn more, visit: http://www.snaplogic.com/fall2014
Framework and Product Comparison for Big Data Log Analytics and ITOA Kai Wähner
IT systems and applications generate more and more machine data due to millions of mobile devices, Internet of Things, social network users, and other new emerging technologies. However, organizations experience challenges when monitoring and managing their IT systems and technology infrastructure. They struggle with network and server monitoring/troubleshooting, security analysis, custom application monitoring and debugging, compliance standards, and others.
This session discusses how to solve the challenges of analyzing Terabytes and more of different log data to leverage the “digital business” – a term defined by Gartner and others to explain that IT is not just a tool to enable a business, but IT is the business.
The main part of the session compares different solutions for operational intelligence and log analytics to create “digital business”, such as Splunk, TIBCO LogLogic and the open source “ELK stack” (ElasticSearch, Logstash, Kibana).
A common use case will be demonstrated in a live demo: Monitoring, analyzing and correlating a complex E-Commerce transaction running through different custom applications such as a Java EE web application, an integration middleware and analytics processes.
The end of the session explains the distinction of the discussed solutions to Apache Hadoop, and how they can complement each other in a big data architecture.
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
The Impact of SMACT on the Data Management StackSnapLogic
This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
This presentation, which Ryan Shopp gave at Data Center World on Oct. 5, 2010, describes today's data center challenges and how to fix them, as well as the following five steps on the journey from virtualization to cloud:
1. Pair virtualization with management
2. Don’t just use the same old tools
3. Integrate lifecycle management disciplines
4. Integrate management across domains
5. Virtualization management + automation + service management = cloud
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Pivotal Digital Transformation Forum: Becoming a Data Driven EnterpriseVMware Tanzu
Next Steps in Your Digital Transformation
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Next Steps In Your Digital TransformationVMware Tanzu
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Speaker: Fadi Yousuf, Sales Manager - Gulf & KSA, Pivotal
The SnapLogic Integration Cloud for ServiceNowSnapLogic
Learn more about using the SnapLogic Integration Cloud to unlock ServiceNow potential by integrating it with major ITSM Cloud and on-premise applications including BMC Remedy, CA Clarity, SAP SolutionManager, and Workday. SnapLogic’s ServiceNow integration will greatly improve efficiency and quality of IT service management.
To learn more, visit: http://www.snaplogic.com/solutions/servicenow-integration.
In this webinar series, we’re going to get you up to speed with the most foundational and critical categories of business intelligence: Reporting, Dashboards, Embedded Analytics (in apps), and Data Integration and Virtualisation.
In this webinar you will learn:
- How to build your first report (using 2 different techniques)
- Best practices for reporting: designing reports and running an effective reporting system
- Distributing reports: methods for delivering reports to users
The future of application and data integration is in the cloud. The SnapLogic Integration Cloud.
Your personal information, including your email address, will be held in the strictest of confidence and will never be shared with anyone.
In a world that has never been more connected, how do you ensure that your business data isn't fragmented?
Salesforce, ServiceNow, Workday - are they streamlined or SaaS silos?
Whether you need real-time application integration, business process automation, or better business analytics, SnapLogic delivers an integration platform as a service (iPaaS) that connects all of your cloud applications, APIs, and disparate data sources with the rest of the enterprise.\
Learn about the SnapLogic Integration Cloud Winter 2014 release:
- Get a faster time to value with our HTML5, cloud Designer
- Learn about Elastic Integration for hybrid and cloud-to-cloud deployments
- Dig into our enterprise-ready security, administration and monitoring
- Connect in a Snap with 160+ Snaps in the SnapStore
Learn more at http: http://www.snaplogic.com/
Have you fallen for the API lie? The API economy implies everything easily connects and simply needs to be governed and managed. But do the data integration pains simply go away? Find out in this Intellyx whitepaper written by Jason Bloomberg.
Read more at https://intellyx.com/2016/08/29/the-api-lie/ and learn how SnapLogic can alleviate data integration pains at www.snaplogic.com.
Strata + Hadoop World: Jump Into the Data Lake with Hadoop-Scale Data Integra...SnapLogic
At last week's Strata + Hadoop World in San Jose, CA SnapLogic Chief Scientist Greg Benson talked to big data experts, data scientists and other enterprise IT leaders about the data lake and how SnapLogic comes into play with Hadoop-scale data integration.
Check out this presentation to learn how SnapLogic helps customers adopt Hadoop and automate data integration workflows.
To learn more, visit: www.snaplogic.com/big-data
Alfresco DevCon 2018: Product Direction KeynoteRichard Esplin
In this keynote, Thomas De Meo welcomes the everyone to Alfresco DevCon 2018, and shares the current product direction.
https://www.youtube.com/watch?v=wv-FQwSlo3k&list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&index=14
5 Signs You Need to Re-Think Your Data Integration StrategyDarren Cunningham
“Data is the new oil.” As you re-think your information infrastructure to deliver on the promise of social, mobile, analytics, cloud, and IoT (SMACT) innovations, here are signs you may be struggling with the “Integrator’s Dilemma” and it's time to re-think your data and application strategy.
SnapLogic has been gaining traction in big-data integration. It recently announced the Fall 2015 release of its Elastic Integration Platform, which adds capabilities for big- data integration that now include Spark (an open source in-memory data-processing framework), a new Snap (preconfigured connector) for Cassandra (an open source distributed ‘big’ database) and support for Microsoft Cortana Analytics. SnapLogic is positioning this release as a self-service hybrid cloud integration offering, and it is intended to strengthen its position among Microsoft customers and others seeking cloud-based big-data analytics.
Webinar: SnapLogic Fall 2014 Release Brings iPaaS to the EnterpriseSnapLogic
In this webinar, we talk about our Fall 2014 release, which brings iPaaS to the enterprise by introducing data wrangling and significant SnapReduce enhancements for Hadoop 2.0 deployments.
We also discuss our newest features including Hadoop-enabled processing and big data acquisition, data mapping and shaping, hierarchical SmartLinking and new and updated Snaps.
To learn more, visit: http://www.snaplogic.com/fall2014
Framework and Product Comparison for Big Data Log Analytics and ITOA Kai Wähner
IT systems and applications generate more and more machine data due to millions of mobile devices, Internet of Things, social network users, and other new emerging technologies. However, organizations experience challenges when monitoring and managing their IT systems and technology infrastructure. They struggle with network and server monitoring/troubleshooting, security analysis, custom application monitoring and debugging, compliance standards, and others.
This session discusses how to solve the challenges of analyzing Terabytes and more of different log data to leverage the “digital business” – a term defined by Gartner and others to explain that IT is not just a tool to enable a business, but IT is the business.
The main part of the session compares different solutions for operational intelligence and log analytics to create “digital business”, such as Splunk, TIBCO LogLogic and the open source “ELK stack” (ElasticSearch, Logstash, Kibana).
A common use case will be demonstrated in a live demo: Monitoring, analyzing and correlating a complex E-Commerce transaction running through different custom applications such as a Java EE web application, an integration middleware and analytics processes.
The end of the session explains the distinction of the discussed solutions to Apache Hadoop, and how they can complement each other in a big data architecture.
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
How to reinvent your organization in an iterative and pragmatic way? This is the result of using our digital toolbox. It allows you to transform your business model, expand your ecosystem by setting up your digital platform. This reinvention is also supported by the adaptation of your governance allowing you to innovate while guaranteeing the performance of your organization. For any information / suggestion / collaboration - william.poos@nrb.be
Comment réinventer votre organisation de manière itérative et pragmatique ? C'est le résultat de l'utilisation de notre boîte à outils digitale. Elle vous permet de transformer votre modèle métier, d'étendre votre écosystème en mettant en place votre plateforme digitale. Cette réinvention est également supportée par l'adaptation de votre gouvernance vous permettant d'innover tout en garantissant la performance de votre organisation. Pour toute information / suggestion / collaboration - william.poos@nrb.be
Webinar: iPaaS in the Enterprise - What to Look for in a Cloud Integration Pl...SnapLogic
In this webinar, we talk about important features when it comes to evaluating an integration platform as a service (iPaaS) solution, including ease of use, flexibility, functionality and cloud-based architecture. Joining us in this webinar was Bryant Pham of SnapLogic customer Xactly.
With Bryant, we also discussed Xactly’s evaluation process in finding a solution to connect applications in real time to create a single, comprehensive system of systems to run an expanding business, and initial results the Xactly team is seeing with the use of SnapLogic, including automation and cloud analytics.
To learn more, visit: www.snaplogic.com/ipaas
How to Migrate Applications Off a MainframeVMware Tanzu
Ah, the mainframe. Peel back many transactional business applications at any enterprise and you’ll find a mainframe application under there. It’s often where the crown jewels of the business’ data and core transactions are processed. The tooling for these applications is dated and new code is infrequent, but moving off is seen as risky. No one. Wants. To. Touch. Mainframes.
But mainframe applications don’t have to be the electric third rail. Modernizing, even pieces of those mainframe workloads into modern frameworks on modern platforms, has huge payoffs. Developers can gain all the productivity benefits of modern tooling. Not to mention the scaling, security, and cost benefits.
So, how do you get started modernizing applications off a mainframe? Join Rohit Kelapure, Consulting Practice Lead at Pivotal, as he shares lessons from projects with enterprises to move workloads off of mainframes. You’ll learn:
● How to decide what to modernize first by looking at business requirements AND the existing codebase
● How to take a test-driven approach to minimize risks in decomposing the mainframe application
● What to use as a replacement or evolution of mainframe schedulers
● How to include COBOL and other mainframe developers in the process to retain institutional knowledge and defuse project detractors
● How to replatform mainframe applications to the cloud leveraging a spectrum of techniques
Presenter : Rohit Kelapure, Consulting Practice Lead, Pivotal
What serverless means for enterprise appsSumit Sarkar
There’s a new approach to app development ripe with misconceptions and more buzzwords to translate to business sponsors. Industry analysts call it serverless, but it’s also known as backend as a service (BaaS), function as a service (FaaS), cloud-native architectures, or microservices—just to name a few. Whatever you call it, this approach is giving developers new freedom to focus on frontend functionality and deliver better, more innovative user experiences and ultimately establish value faster. Let’s discuss the pros and cons of serverless in enterprise architectures.
The Reality of Managing Microservices in Your CD PipelineDevOps.com
As we shift from monolithic software development practices to microservices, our well-designed CD pipeline will need to change. Microservices are small functions, deployed independently and linked via APIs at run-time. While these differences seem minor, they actually have a large impact on your overall CD structure. Think hundreds of workflows, small of any builds and the loss of a monolithic 'application.'
Join Tracy Ragan, CEO of DeployHub and Brendan O'Leary, Developer Evangelist at GitLab, to learn more.
It's never too early to start the conversation.
We are drowning in complexity—can we do better?Jonas Bonér
Today’s vast cloud-native infrastructure ecosystem is excellent. Unfortunately, it has grown very complex and hard to navigate. What tools to use for what job? How to compose them into a single coherent system? How to ensure the application’s guarantees and SLAs holistically? It can easily be overwhelming, and a lot falls on the Ops/SRE team that needs to manage it all.
Serverless to the rescue? Yes and no. It does provide a fantastic promise of a better DX for developers. But it has fallen short of this promise, stopped in its tracks halfway there.
Can we do better? Definitely. What we need is a new category of managed platforms that do full “vertical integration” of all infrastructure; providing a simple and high-level programming model allows the developer to focus on just three things: API definition, domain data, and business logic—i.e., working on direct business value. The rest, all of the rest, should be outsourced to the platform itself. Let me show you what I mean.
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
We are a IT consulting company providing services to clients across geographies in Data Engineering, AI/ML, Cloud & DevOps, Platform Engineering, and Process Hyper automation.
Transforming Software Architecture for the 21st Century (September 2009)Dion Hinchcliffe
Evolving an important theme I've been working on and presenting all year, this new deck summarizes how enterprise architecture and large scale technology-based business solutions must transform to be more effective in the 21st century.
Contains material on a hypothesis for what's wrong with today's EA as well as potential solutions of merit such as emergent architecture, WOA, enterprise REST, open supply chains (APIs), mashups, and other models.
Presented this week in Oslo Norway to Bouvet's enterprise architecture council.
CNCF, State of Serverless & Project NuclioLee Calcote
The Serverless working group within the Cloud Native Computing Foundation (CNCF) is one of many. In this talk, we’ll answer why the working group exists and how our efforts help the ecosystem. We'll also take a look at some of the current Serverless and FaaS projects and cover some of the common Serverless myths. Finally, we'll look ahead toward what we foresee as some of Serverless's biggest challenges and best-suited use cases.
Presentazione dello speech tenuto da Carmine Spagnuolo (Postdoctoral Research Fellow - Università degli Studi di Salerno/ ACT OR) dal titolo "Technology insights: Decision Science Platform", durante il Decision Science Forum 2019, il più importante evento italiano sulla Scienza delle Decisioni.
"Is serverless another passing technology fad or the new standard for application deployment in cloud computing?” It’s a good question and the topic of this presentation. We will discuss the current state of serverless computing and the many considerations before investing time and resources in serverless infrastructure.
For many, data center priorities have shifted from absolute uptime and performance to ”move fast and break things” as espoused by Silicon Valley, a great mantra for those with limited legacy systems and a greenfield of new products. Though the question for many enterprises though is "How does serverless integrate into their existing data center strategy?"
The discussion will not only explain the state of today’s growing serverless landscape but how you can integrate your existing data center with a cloud-native serverless architecture.
How Celtra Optimizes its Advertising Platformwith DatabricksGrega Kespret
Leading brands such as Pepsi and Macy’s use Celtra’s technology platform for brand advertising. To inform better product design and resolve issues faster, Celtra relies on Databricks to gather insights from large-scale, diverse, and complex raw event data. Learn how Celtra uses Databricks to simplify their Spark deployment, achieve faster project turnaround time, and empower people to make data-driven decisions.
In this webinar, you will learn how Databricks helps Celtra to:
- Utilize Apache Spark to power their production analytics pipeline.
- Build a “Just-in-Time” data warehouse to analyze diverse data sources such as Elastic Load Balancer access logs, raw tracking events, operational data, and reportable metrics.
- Go beyond simple counting and group events into sequences (i.e., sessionization) and perform more complex analysis such as funnel analytics.
OPEN'17_4_Postgres: The Centerpiece for Modernising IT InfrastructuresKangaroot
Postgres is the leading open source database management system that is being developed by a very active community for more than 15 years. Gaby Schilders is Sales Engineer at EnterpriseDB, supplier of the EDB Postgres data platform.
Gaby Schilders, Sales Engineer at EnterpriseDB, will be explaining why companies take open source as the centerpiece for modernising their IT infrastructure, thus increasing their scalability and taking full advantage today's technologies offer them.
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The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
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Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
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Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. What we’ll cover
today
Definitions, mapping to what you’re
doing now, useful next steps
• Review research about current IT trends
• Defining serverless and functions-as-a-service
• Today’s landscape
• How serverless maps to existing priorities
• Workload for serverless platforms
• Where Knative, project riff and Pivotal Function
Service (PFS) come in
• Getting started
7. So what does it mean to be “serverless”?
“Serverless is an approach to development that removes their
need to care about servers: provisioning, setting up,
configuring, or otherwise interacting with them. Beyond that,
the name connotes a new architectural approach and
operating principles.”
“Demystifying Serverless Computing”, Jan 2018, Forrester Research
9. Is serverless a real
change?
Yes, legitimate changes to how you
think about software.
• New development approach. Tightly scoped,
event-driven, composable pieces.
• New operational approach. Little to no
infrastructure management, zero consumption
during idle periods, fully metered billing.
• New business opportunities. Return your
team’s focus to business logic, build and utilize
marketplaces, quickly stitch together cloud-
based systems.
10. Serverless applies to your existing priorities.
Microservices
Functions are one
realization of the
microservices pattern.
It’s a natural fit for many
APIs too.
DevOps
Teams organize around
functions and focus on
running their function-
infused services.
Continuous
delivery
Get code to production
quickly. Decomposed
systems mean regular
updates.
Event-driven
architecture
Adopt a reactive, push-
based model that’s
foundational to
functions.
Mobile computing
Functions lend
themselves to things like
notifications and
gracefully handling
bursty lookups.
AI/ML
Increasingly, functions
look like an option for
training models or using
models for fast results.
13. The landscape today is … fragmented.
AWS Lambda
Microsoft Azure Functions
Google Cloud Functions
Auto0 webtask
CloudFlare Workers
Hosted function-as-a-service
platforms
Serverless Framework
Spring Cloud Function
Frameworks for building and
deploying functions
Knative
Apache OpenWhisk
Kubeless
OpenFaaS
Fission
Fn
Installable platforms
14. There are things
to watch out for.
Be excited, but understand the
immaturity in the market
• How are you going to connect functions together
into a system?
• What to do with existing software that’s neither
event-driven or decomposable into functions?
• How do you monitor and trace a mesh of
functions?
• What’s the right way to track dependencies and
keep functions secure?
• How are your datastores co-evolving to deal with
more ephemeral, stateless services?
• Where should you couple to proprietary cloud
services versus find something portable?
• What ”works” when you have a dozen functions,
and collapses when you have 250?
15. Use cases and Pivotal
Function Service
When to use serverless, and what is PFS offering?
16. Three categories of use cases
Event-based Integration
● Scheduled tasks, ETL
● File processing e.g.
images and videos
● Complex Event Processing
and Change Data Capture
● Monitoring, notifications
and alerting
● Custom auth e.g. via API
Gateway
Large Scale Data
Processing
● e.g. pyWren map/reduce
● IoT streams
● Log ingestion
● Machine Learning
● Stateful Stream
Processing
Web Events
● Website back-end
services like form post
handlers
● Back-end data services
for mobile and web apps
e.g GraphQL
● Webhook handlers
● CI/CD automation
● Chat integrations
● Digital assistant services
e.g. Alexa skills
17. Google Cloud Next - July 2018
Community-driven
ecosystem of
Sources,
Channels,
Functions,
Invokers,
BuildTemplates,
etc.
Kubernetes
BuildTemplates
Channels
CLI
Invokers
CLI
Invokers
Build
Topics
Betting our Faas Future on Knative
18. riff on Knative
We have re-architected the riff
core, collaborating on a new
pub/sub design for Knative.
★ New riff CLI
★ Installs Knative
★ Uses Knative serving, build, and eventing
★ Provides in-cluster builds with buildpacks
19. Functions as a new developer abstraction
Developers are responsible
only for the business logic.
Dependencies in base image
layers can be managed
independently.
• simpler
• more secure
• more efficient
Function
Invoker
Function Code
Container Base Image
Function Layer
20. Functions subscribe to event sources through channels
Pub/sub channels provide
loose coupling.
Enable message consumers
and producers to operate
without prior knowledge of
each other.
Enable a rich set of patterns
beyond request/reply E.g.
reactive streams.
Publish to
Subscriptions
Messaging
Service
Channel
Function
Function
Svc
22. Call to Action
● Check out the latest Forrester research on serverless computing
● Download and try out project riff
● Start using Spring Cloud (Stream and Function)
● Watch videos from recently-concluded SpringOne Platform:
○ Knative, riff, and Pivotal Function Service (keynote)
○ Spring, Functions, Serverless, and You
○ Building Responsive Systems with Serverless, Event-driven Java
○ Securing Spring Functions By Breaking In