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Pivotal Cloud-Native

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  • Journey to Cloud-Native: Reducing Production Risks at Scale
    Journey to Cloud-Native: Reducing Production Risks at Scale Kamala Dasika, Pivotal and Mike Villiger, Dynatrace Recorded: Jun 7 2017 53 mins
    More and more operational decision-making and activity that previously required human intervention is being programmatically driven into platforms. This type of intelligent automation baked into cloud-native platforms is transforming Operations teams into champions of delivering business value. This webinar will cover how you can:
    - Auto detect apps and services running on multiple clouds
    - Automate problem detection and resolution
    - Identify behavior patterns, anticipate trends and respond quickly
    - Why correlation is not causation

    This is the final webinar in the series presented by Pivotal and Dynatrace on modernizing your application portfolio to cloud-native.

    Webinars in this series are searchable by title:
    - Journey to Cloud-Native: Where to start in your app modernization process
    - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence
    - Journey to Cloud-Native: Making Sense of Your Service Interactions
    - Journey to Cloud-Native: Reducing Production Risks at Scale

    Thank you in advance for joining us.

    About the Speakers:
    Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems.

    Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.
  • How to Serve MySQL On Demand with Pivotal Cloud Foundry
    How to Serve MySQL On Demand with Pivotal Cloud Foundry Greg Chase, Director of Products at Pivotal and Morgan Fine, Product Manager focusing on MySQL for Pivotal Cloud Foundry Recorded: Jun 6 2017 43 mins
    MySQL is the simple choice for developers needing a transactional relational database.

    When you operate an enterprise cloud for hundreds of developers and applications, the choice is not a simple one. Databases need to meet enterprise standards for security, availability, and disaster recovery. Cloud deployments need flexibility to balance each application's unique performance and scalability requirements. You cannot support continuous delivery of applications with manual deployment of databases.

    Developers love MySQL cloud services because they get fast access to an instance. Operators love the services available in Pivotal Cloud Foundry because of the automation they bring.

    This webinar reviews different MySQL offerings and plans in Pivotal Cloud Foundry including:

    - Ways developers can access MySQL in Pivotal Cloud Foundry
    - Operational requirements to serve developers
    - Meeting enterprise standards and service levels
    - Meeting performance and scale requirements
    - Use case: modern architectures
    - Use case: replatforming legacy applications

    We look forward to you joining us.
  • How to Turn Tweets Into Revenue Using Data Science
    How to Turn Tweets Into Revenue Using Data Science Scott Hajek, Data Scientist, Pivotal Recorded: May 31 2017 53 mins
    Determining individual customer desire or intent from social media data provides companies, particularly consumer-facing companies, the opportunity to deliver targeted, more effective messaging and convert more sales. In some cases, the job is fairly easy.

    If someone tweets that she really enjoyed riding in a friend’s Tesla, for example, it’s pretty clear this person is more likely to respond to a targeted offer for an electric car than someone who tweets that they hate Teslas. But in many cases, discerning and capitalizing on customer desire and intent is more challenging. It requires confirming relevance, intent and sentiment, and matching customers with available inventory.

    Join this webinar and learn how to leverage Twitter data and images to create customized offers, using machine learning APIs. Scott Hajek, Pivotal Data Scientist, will describe the data science techniques, tools, and infrastructure to help you to capitalize on this potentially lucrative opportunity.
  • How to configure PostgreSQL consistent with Modern Security Best Practices
    How to configure PostgreSQL consistent with Modern Security Best Practices Kamala Dasika, Pivotal and Jason O'Donnell, Crunchy Data Recorded: May 23 2017 47 mins
    Cloud-native platforms have rapidly gained acceptance as a means to deliver multi-cloud application deployments. But with data at the core of almost every application, how can IT organizations in highly regulated industries like healthcare, finance, and public services ensure that their production applications are backed by secure and multi-cloud databases?

    Crunchy Data and Pivotal partnered with the Defense Information Systems Agency (DISA) to author the first Security Technical Implementation Guide (STIG) outlining best practices for PostgreSQL databases.

    In this session, Kamala Dasika from Pivotal and Jason O’Donnell from Crunchy Data will cover how to:

    - Configure PostgreSQL consistent with security best practices.
    - Get on-demand, self-service access to certified open source PostgreSQL for use in high security environments.
    - Leverage the built-in security and resilience of cloud-native environments to reduce risk and provide developers with a consistent experience on their cloud of choice.
  • Journey to Cloud-Native: Making Sense of Your Service Interactions
    Journey to Cloud-Native: Making Sense of Your Service Interactions Kamala Dasika, Pivotal and Mike Villiger, Dynatrace Recorded: May 16 2017 49 mins
    Environments running microservices are highly dynamic and could present a level of complexity in their operational data that makes root cause analysis particularly challenging and time consuming. Join Kamala Dasika from Pivotal and Michael Villiger from Dynatrace, to learn about how teams are overcoming this to manage services at scale by taking advantage of:
    - Automatic application-environment discovery
    - Service and process flows integrated with platform visibility, and
    - Self healing platforms

    This is the third webinar in the series presented by Pivotal and Dynatrace on modernizing your application portfolio to cloud-native.

    Webinars in this series are searchable by title:
    - Journey to Cloud-Native: Where to start in your app modernization process
    - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence
    - Journey to Cloud-Native: Making Sense of Your Service Interactions
    - Journey to Cloud-Native: Reducing Production Risks at Scale

    Thank you in advance for joining us.

    About the Speakers:
    Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems.

    Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.
  • Strategies on how to Overcome Security Challenges Unique to Cloud-Native Apps
    Strategies on how to Overcome Security Challenges Unique to Cloud-Native Apps Zane Lackey, Signal Sciences and Kamala Dasika, Pivotal Recorded: May 3 2017 54 mins
    As IT organizations build and release software continuously, how do security teams become enablers of this pace? How can you ensure that the higher rate of change is not leading to lesser security?

    Join our webinar to learn how Pivotal and Signal Sciences work together to make app deployments faster *and* safer in cloud-native environments.

    This webinar will cover:
    - Best practices for implementing new security programs and incentivizing their adoption
    - How to simplify application layer security deployments across a variety of apps, teams and cloud infrastructures
    - How threat visibility and real time attack telemetry brings security context into DevOps teams, and improves response times.
  • Using Caching in Microservices Architectures: Session I
    Using Caching in Microservices Architectures: Session I Jagdish Mirani is a Product Marketing Manager in charge of Pivotal’s in-memory products Recorded: Apr 26 2017 54 mins
    In this 60 minute webinar, we will cover the key areas of consideration for data layer decisions in a microservices architecture, and how a caching layer, satisfies these requirements. You’ll walk away from this webinar with a better understanding of the following concepts:

    - How microservices are easy to scale up and down, so both the service layer and the data layer need to support this elasticity.
    - Why microservices simplify and accelerate the software delivery lifecycle by splitting up effort into smaller isolated pieces that autonomous teams can work on independently. Event-driven systems promote autonomy.
    - Where microservices can be distributed across availability zones and data centers for addressing performance and availability requirements. Similarly, the data layer should support this distribution of workload.
    - How microservices can be part of an evolution that includes your legacy applications. Similarly, the data layer must accommodate this graceful on-ramp to microservices.
  • Pivotal Cloud Foundry 1.10: First Look - Windows at Scale, Network Isolation
    Pivotal Cloud Foundry 1.10: First Look - Windows at Scale, Network Isolation Jared Ruckle, Pivotal and Pieter Humphrey, Pivotal Recorded: Apr 25 2017 72 mins
    Ship software early and often with Pivotal Cloud Foundry 1.10, now generally available. Join Jared Ruckle and Pieter Humphrey for a deeper look at these capabilities, demos, and expert Q&A about many of the new options, including:

    * Pivotal Cloud Foundry Runtime for Windows enables operators to run fleets of Windows Servers at scale
    * cf push .NET apps with the Hosted Web Core Buildpack
    * Steeltoe brings popular microservices patterns to .NET
    * Deploy apps to a specific host with isolation segments, and boost compliance.
    * Use distributed tracing in Pivotal Cloud Foundry Metrics to reduce latency in microservices

    Learn all about the latest updates to the leading multi-cloud platform in this online event.
  • Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence
    Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence Kamala Dasika, Pivotal and Mike Villiger, Dynatrace Recorded: Apr 19 2017 40 mins
    Teams building modern apps and microservices are using new techniques to ensure their quality as well as rapid deployment across build, test, and production cycles. This webinar will cover how you can contain post-deployment risk with rapid rollback of poorly performing releases within blue/green deployments by using AI based anomaly detection.

    This is the second webinar in a series presented by Pivotal and Dynatrace on modernizing your application portfolio to cloud-native.

    Other searchable webinar segments by title include:
    - Journey to Cloud-Native: Where to start in your app modernization process
    - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence
    - Journey to Cloud-Native: Making Sense of Your Service Interactions
    - Journey to Cloud-Native: Reducing Production Risks at Scale

    Thank you in advance for joining us.

    About the Speakers:
    Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems.

    Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.
  • Orchestration Patterns for Microservices with Messaging by RabbitMQ
    Orchestration Patterns for Microservices with Messaging by RabbitMQ Greg Chase, Pivotal and Dan Baskette, Pivotal Recorded: Apr 18 2017 58 mins
    Companies looking to speed up their software development are adopting microservices architectures (MSA). Building applications as groups of smaller components with fewer dependencies helps companies such as Comcast, Capital One, Uber, and Netflix deliver more frequent releases and thus innovate faster.

    An important consideration in adopting an MSA is deciding how individual services should communicate between each other. Adding a message queue such as RabbitMQ to handle interservice messages can improve communication by:

    - Simplifying our services so they only need to know how to talk to the messenger service.
    - Abstracting communication by having the messenger service handle sophisticated orchestration patterns.
    - Scaling message throughput by increasing the cluster size of the messenger service.

    In this webinar we'll discuss:
    - Requirements for communicating between microservices
    - Typical messaging patterns in microservice architectures
    - Use cases where RabbitMQ shines
    - How to use the RabbitMQ service for Pivotal Cloud Foundry to deploy and run your applications

    We’ll also demonstrate how to deploy RabbitMQ in Pivotal Cloud Foundry, and how to incorporate it in microservices-based applications.

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