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Spring & the Pivotal OSS Community

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  • Boosting Microservice Performance with Kafka, RabbitMQ, and Spring
    Boosting Microservice Performance with Kafka, RabbitMQ, and Spring
    Mark Heckler, Spring Developer & Advocate, Pivotal Software Recorded: Jun 6 2019 57 mins
    In today’s microservices-based world, many mission-critical systems have distributed elements or are entirely distributed. Ideally, these architectures should improve things such as performance, scalability, reliability, and resilience—but subpar design can limit those strengths, or worse yet, turn them into challenges that need to be overcome.

    Messaging platforms help solve these problems and improve the "ilities," but they come with a few complexities of their own. This webinar will teach you how to use open-source solutions like Spring Cloud Stream, RabbitMQ, and Apache Kafka to maximize your distributed systems' capabilities while minimizing complexity.
  • What’s New in RabbitMQ 3.8?
    What’s New in RabbitMQ 3.8?
    Michael Klishin, RabbitMQ Software Engineer, and Karl Nilsson, RabbitMQ Software Engineer Recorded: May 23 2019 64 mins
    Recent releases of RabbitMQ have made the most popular open-source message broker even more rock solid. The team has made it easier to deploy and easier to operate from Day 2 on. As a de facto standard for message-based architectures, this is great news for teams building microservices and other distributed applications.

    But let’s face it: not everyone is running the latest version and taking advantage of these new stability and operational features. Now the next major version (3.8) is shipping and it has some breakthrough features for reliability and scaling. Are you ready?

    Join Pivotal’s Michael Klishin and Karl Nilsson, RabbitMQ Software Engineers, as they share what’s new in RabbitMQ 3.8. You’ll learn:

    ● How making RabbitMQ persistent and fault tolerant is evolving from mirrored queues to quorum queues
    ● What mixed-version clusters are and how they simplify upgrades
    ● How RabbitMQ 3.8 continues to make deploying and operating RabbitMQ easier
    ● What’s available in terms of OAuth 2.0 support, monitoring improvements, and more
    ● What features are in development for future versions and minor releases

    We look forward to you joining us.
  • 6 Things You Need to Know to Safely Run Kubernetes
    6 Things You Need to Know to Safely Run Kubernetes
    Cornelia Davis, Author and Vice President of Technology, Pivotal Recorded: Apr 11 2019 61 mins
    Kubernetes has exploded in popularity among developers. But as operations teams prepare to support Kubernetes in production, they have more considerations—namely, how to operate a stable platform while maintaining security and compliance. How Kubernetes is configured and deployed has a marked impact on these attributes.

    Attend this session with Pivotal’s Vice President of Technology, Cornelia Davis, to learn the following:

    ● How to isolate tenants in your Kubernetes environment.
    ● How to make upgrading Kubernetes clusters boring.
    ● What you should—and shouldn’t—let your developers do.
    ● What you need around your Kubernetes clusters to keep them safe.

    We look forward to you joining us.

    The Pivotal Team
  • Microservices, Events, and Breaking the Data Monolith with Kafka
    Microservices, Events, and Breaking the Data Monolith with Kafka
    Cornelia Davis, Author & VP, Technology, Pivotal with Ben Stopford, Author & Technologist, Office of CTO, Confluent Recorded: Feb 27 2019 62 mins
    One of the trickiest problems with microservices is dealing with data as it becomes spread across many different bounded contexts. An event architecture and event-streaming platform like Kafka provide a respite to this problem. Event-first thinking has a plethora of other advantages too, pulling in concepts from event sourcing, stream processing, and domain-driven design.

    In this talk, Ben and Cornelia will tackle how to do the following:

    ● Transform the data monolith to microservices
    ● Manage bounded contexts for data fields that overlap
    ● Use event architectures that apply streaming technologies like Kafka to address the challenges of distributed data

    Pivotal Privacy Statement: 
    https://pivotal.io/privacy-policy

    Confluent Privacy Statement: 
    https://www.confluent.io/confluent-privacy-statement/

    This webinar: 
    https://content.pivotal.io/webinars/feb-27-microservices-events-and-breaking-the-data-monolith-webinar
  • Developing Serverless Applications on Kubernetes with Knative
    Developing Serverless Applications on Kubernetes with Knative
    Bryan Friedman, Director of Product Marketing, Pivotal and Brian McClain, Principal Product Marketing Manager, Pivotal Recorded: Feb 21 2019 56 mins
    Serverless computing has become a hot topic in developer communities. The use of ephemeral containers eliminates the need for always-on infrastructure. But the real payoff for serverless is greater code simplicity and developer efficiency. Sounds great! Except the open-source serverless framework space is crowded and complex. Each unique offering approaches functions differently, with varying methods for triggering, scaling, and event formatting. How is that efficient?

    One thing that most everybody can agree on is to build on top of Kubernetes. With that as the only common ground though, there is still too much fragmentation for developers to wade through when deciding on the right open source serverless solution.

    That's where Knative comes in. An open-source project from Google, Pivotal, and other industry leaders, Knative provides a set of common tooling on top of Kubernetes to help developers build serverless applications. It extends Kubernetes by combining Istio with Custom Resource Definitions to enable a higher-level of abstraction for developers. This brings support for source-to-container builds, autoscaling, routing, and event sourcing. Join this session with Brian McClain and Bryan Friedman to see a complete working demo of Knative and learn:

    ● What are the components of Knative and how do they work together
    ● What are the different ways to deploy serverless applications and functions on Knative
    ● How and when to use Knative’s build features, such as Buildpacks
    ● What is Knative’s eventing model and how are event sources used to trigger functions
    ● How Project riff compliments development on top of Knative
  • Cloud-Native Security: Processes and Tools for Real-World Transformation
    Cloud-Native Security: Processes and Tools for Real-World Transformation
    Jeff Williams, co-founder and Chief Technology Officer of Contrast Security and David M. Zendzian, Pivotal Global CTO Recorded: Feb 20 2019 59 mins
    Can your organization support developer self-service across 11,000 workloads with certainty that 100% of the workloads are security-approved across the entire stack? The answer is yes with a cloud-native approach.

    Cloud-native platforms not only make it easier to support the kind of cultural shift necessary for continuously shipping software, they make it easier to practice good security and reduce the available attack surface. But an attack on the application itself can undermine all platform controls.

    In this webinar, Jeff and David will discuss application development code security in pre-production as well as runtime security at scale for cloud-native production applications. This session will cover the following:

    ● Tools that work well with rapid-cycle CI/CD pipelines
    ● Baking audit and compliance into pipelines
    ● Achieving zero downtime CVE patching and updates
    ● Vulnerability discovery, and blocking of application threats and attacks in the runtime
    ● Demonstration of threat discovery and blocking

    This is the second webinar in a series presented by Pivotal and Contrast Security on cloud-native security best practices. The previous webinar in this series is available in the attachment section.

    Pivotal Privacy Statement: 
    https://pivotal.io/privacy-policy

    Contrast Privacy Statement: 
    https://www.contrastsecurity.com/privacy-matters

    This webinar:
    https://content.pivotal.io/webinars/feb-20-cloud-native-security-processes-and-tools-for-real-world-transformation-webinar
  • Ten Reasons Why Netezza Professionals Should Consider Greenplum
    Ten Reasons Why Netezza Professionals Should Consider Greenplum
    Jacque Istok, Head of Data, Pivotal and Kelly Carrigan, Principal Consultant, EON Collective Recorded: Feb 13 2019 59 mins
    This webinar is for IT professionals who have devoted considerable time and effort growing their careers in and around the Netezza platform.

    We’ll explore the architectural similarities and technical specifics of what makes the open source Greenplum Database a logical next step for those IT professionals wishing to leverage their MPP experience with a PostgreSQL-based database.

    As the Netezza DBMS faces a significant end-of-support milestone, leveraging an open source, infrastructure-agnostic replacement that has a similar architecture will help avoid a costly migration to either a different architecture or another proprietary alternative.

    Pivotal Privacy Statement:
    https://pivotal.io/privacy-policy

    This webinar:
    https://content.pivotal.io/webinars/feb-13-ten-reasons-why-netezza-professionals-should-consider-greenplum-webinar
  • Securing Microservices with Spring and Pivotal Cloud Foundry
    Securing Microservices with Spring and Pivotal Cloud Foundry
    Simon Rowe, Pivotal Recorded: Jan 29 2019 50 mins
    Microservices offer advantages and disadvantages for security. Microservices can be developed, updated, and scaled separately. However, with more and more microservices to manage, there are numerous doors that intruders can access within an application. While their isolated and standalone structure within applications makes them easier to defend, microservices bring with them their own additional security challenges.

    In this talk, we'll walk through a set of Spring-coordinated microservices that are insecure and will integrate them with an OAuth 2.0 Authorization Server in order to make them secure. Then we’ll look at the challenges with single sign-on and how Pivotal Cloud Foundry can help to overcome them.
  • Four Steps Toward a Safer Continuous Delivery Practice (Hint: Add Monitoring)
    Four Steps Toward a Safer Continuous Delivery Practice (Hint: Add Monitoring)
    James Ma, Senior Product Manager, Pivotal & Michael Villiger, Sr. Technical Partner Manager, Dynatrace Recorded: Jan 23 2019 58 mins
    The demands of fast incremental code development require a stable, safe, and continuous delivery pipeline that can get your code into the hands of your customers without delay. Put your continuous delivery pipeline on autopilot by automating and simplifying the workflow—continuous integration to production readiness—and by using an automated monitoring solution to prevent bad builds from impacting production.


    This webinar will cover the steps to building an automated, monitored pipeline:

    1. Modeling and visualizing your build and delivery process as a pipeline (defined as a single, declarative config file) using Concourse CI.

    2. Leveraging integrations to trigger actions and share data, supporting functions like testing, collaboration, and monitoring.

    3. Enhancing your end-to-end continuous delivery pipeline with contextual deployment event feeds to Dynatrace.

    4. Adding automated, metrics-based quality gates between pre-production stages and an automatic post-production approval step, all with specifications defined in source control.

    Attendees will learn how some of the unique capabilities of Concourse CI and Pivotal Cloud Foundry, coupled with Dynatrace’s software intelligence, can put your continuous delivery pipeline on autopilot and ensure safer production outcomes.

    Pivotal Privacy Statement:
    https://pivotal.io/privacy-policy

    Dynatrace Privacy Statement:
    https://www.dynatrace.com/support/help/data-privacy-and-security/

    This webinar:
    https://content.pivotal.io/webinars/jan-23-four-steps-toward-a-safer-continuous-delivery-practice-hint-add-monitoring-webinar
  • Chaos Engineering in a World of Distributed Spring Boot Apps
    Chaos Engineering in a World of Distributed Spring Boot Apps
    Russ Miles, Benjamin Wilms, Codecentric Recorded: Dec 13 2018 62 mins
    As developers, one of our primary goals is to develop stable, secure, and bug-free software that will not deprive us of sleep or keep us away from new and exciting topics. To accomplish these and other goals, we write unit and integration tests that alert us to unexpected behavior and ensure the patterns we test don’t lead to errors. However, today’s architectures contain many components that can’t be fully covered with unit and integration tests. Thus, servers and components we’re not aware of still manage to drag our entire system into the abyss.

    This issue led to the birth of the Chaos Monkey for Spring Boot. The inspiration was Netflix’s Chaos Monkey and the culture of Chaos Engineering. On an application level, we want the possibility to cause specific stress and error situations.

    This session will detail the possibilities and deployment scenarios of the Chaos Monkey for Spring Boot. You will also learn how well the ChaosToolkit works together with the Chaos Monkey for Spring Boot.


    Pivotal Privacy Statement:
    https://pivotal.io/privacy-policy

    Codecentric Privacy Statement:
    https://www.codecentric.de/privacy-policy/

    This webinar:
    https://content.pivotal.io/webinars/dec-13-chaos-engineering-in-a-world-of-distributed-spring-boot-apps-webinar

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