Micrometer is an open source metrics collection facade, the default metrics implementation in Spring Boot 2.0 and above. Think SLF4J—but for metrics! In this talk, we'll examine why you should be instrumenting your applications with a dimensional collector like Micrometer.
We'll cover patterns for effectively monitoring key pieces of your application, from request latency to process and system-level metrics. Demos will highlight the strengths of a variety of Micrometer's 12 supported monitoring systems.
You’ll leave this webinar with Grafana dashboard templates to monitor the most critical metrics against Prometheus, Datadog, and Influx with some pre-configured alerts.
RecordedMay 9 201865 mins
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In this talk, your friendly neighborhood Spring Developer Advocate Josh Long (@starbuxman) introduces you to the ground-floor basics of building reactive applications with Spring.
You’ll learn about Reactor, the Reactive Streams specification, and how to build reactive pipelines. We’ll learn about reactive SQL and NoSQL data-access. We’ll look at how to build reactive HTTP and websocket-centric services with Spring and Spring Boot.
Streaming applications are all the rage these days because they open up exciting, new use cases. Every streaming application demands a common set of capabilities. The most critical of all is reliability of the events delivery and processing. But what does reliable processing entail? How do you build a streaming pipeline that’s responsive to performance changes in a distributed system? That’s where the reactor back-pressure comes into the picture.
Join Pivotal Platform Architect Madhav Sathe and Pivotal Principal Software Engineer Marcial Rosales for this online class as they walk you through the ingredients of building streaming pipelines. You’ll learn:
● An overview of what Project Reactor is and how it works.
● How Project Reactor makes it possible to build an end-to-end streaming pipeline.
● How to use RabbitMQ’s native reactive support and Project Reactor to build stateful streaming transformations.
● How to demonstrate backpressure across multiple distributed systems in this architecture.
● How this stack is being used to solve real use cases.
Chris Sterling, Pivotal Product Manager, Brian McClain, Pivotal Technical Marketer
Folks are eager to adopt microservices in order to scale and iterate code faster. Microservices architectures offer a means to safely decouple parts of an application into smaller, more independent units. But adopting a microservices architecture means increasing the number of services communicating via API calls. This introduces the need for API gateways.
API gateways aren’t new, but as cloud-native infrastructure evolves, the requirements for API gateways have changed, too. Today, developers are looking for a gateway that runs close to their application to minimize latency, supports reversions to earlier versions, and operates like any other Spring Boot application. Spring Cloud Gateway deploys independently as a Spring Boot app, integrates with Spring Cloud Service Discovery and Spring Cloud Security, and uses familiar tools for observability and resilience.
Join Chris Sterling, Pivotal Product Manager, and Brian McClain, Pivotal Tech Marketer, to learn:
● How to set up a basic route using Spring Cloud Gateway
● How to expose the gateway on the network without exposing the services
● How to use Spring Cloud Security to authenticate users at the gateway
● How Pivotal Spring Cloud Gateway makes it easier to operate, upgrade, dynamically configure with no downtime, and more
As an industry, we’ve been reasoning about RabbitMQ's behavior without having the right perspective. Existing tooling has prevented us from understanding what’s happening under the hood and sharing the state with those that really understand how the pieces fit together.
In this online class, you’ll learn how this changes with the new observability tooling in RabbitMQ 3.8. You can finally answer many of the RabbitMQ questions yourself, and share anything that you don’t understand with a RabbitMQ expert.
Join RabbitMQ engineer Gerhard Lazu to learn how:
● To start using the new metrics system in RabbitMQ 3.8
● Developers know when your application is using a RabbitMQ anti-pattern
● Developers who use Quorum Queues can understand the mechanics better
● Operators know when a RabbitMQ deployment is imbalanced
● Erlang experts can unlock deeper RabbitMQ insights
● To share your context when you come across a bug
Dr. Nicole Forsgren, Research and Strategy at Google Cloud and Richard Seroter, VP of Product Marketing, Pivotal
The Accelerate State of DevOps Report is the result of five years of research—and more than 30,000 data points—and aims to understand how software delivery and operational (SDO) performance drives organizational performance. Our data also supports analyst reports that the industry is crossing the chasm: we see almost 3x the proportion of elite performers compared to last year, with low performers shrinking in comparison.
In this webinar, we discuss the key findings in the 2019 report. Join us and learn:
● the best strategies for scaling DevOps;
● how to leverage the cloud to drive superior outcomes and unlock effective change management;
● how to optimize productivity so you can improve work/life balance and reduce burnout; and
● new findings for how to build a great organizational culture.
Dr. Nicole Forsgren does research and strategy at Google Cloud. She is co-author of the Shingo Publication Award-winning book, Accelerate: The Science of Lean Software and DevOps, and is best known as lead investigator on the largest DevOps studies to date. She has been a successful entrepreneur (with an exit to Google), professor, performance engineer, and sysadmin. Her work has been published in several peer-reviewed journals.
Richard Seroter is the VP of Product Marketing at Pivotal, a 12-time Microsoft MVP for cloud, an instructor for developer-centric training company Pluralsight, the lead InfoQ.com editor for cloud computing, and author of multiple books on application integration strategies. As VP of Product Marketing at Pivotal, Richard heads up product, partner, customer, and technical marketing and helps customers see how to transform the way they build software. Richard maintains a regularly updated blog (seroter.wordpress.com) on topics of architecture and solution design and can be found on Twitter as @rseroter.
Ryan Morgan, VP of Engineering and Ben Hale, Cloud Foundry Java Lead, Pivotal
Following the recent changes to how some JDKs are licensed and supported, many enterprise leaders have questions. Do I need to pay anything? Where do I get updates? What happens when I encounter issues? It’s confusing!
In this webinar, Ryan Morgan and Ben Hale will review what's changed, and how Pivotal can help you deliver a secure, supported, Java experience to your developers.
Ryan Morgan, VP of Engineering, Pivotal
Ben Hale, Cloud Foundry Java Lead, Pivotal
Mark Heckler, Spring Developer & Advocate, Pivotal Software
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.
Michael Klishin, RabbitMQ Software Engineer, and Karl Nilsson, RabbitMQ Software Engineer
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
Cornelia Davis, Author and Vice President of Technology, Pivotal
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.
Cornelia Davis, Author & VP, Technology, Pivotal with Ben Stopford, Author & Technologist, Office of CTO, Confluent
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
Bryan Friedman, Director of Product Marketing, Pivotal and Brian McClain, Principal Product Marketing Manager, Pivotal
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
Jeff Williams, co-founder and Chief Technology Officer of Contrast Security and David M. Zendzian, Pivotal Global CTO
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.
Jacque Istok, Head of Data, Pivotal and Kelly Carrigan, Principal Consultant, EON Collective
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.
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.
James Ma, Senior Product Manager, Pivotal & Michael Villiger, Sr. Technical Partner Manager, Dynatrace
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.
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.
Jerry Kuch, Senior Principal Software Engineer & Wayne Lund, Advisory Data Engineer, Pivotal
RabbitMQ is the most popular open-source message broker. It’s a de facto standard for message-based architectures. And yet, despite the abundant documentation and usage, developers and operators can still get tripped up on configuration and usage patterns.
Let’s face it: some of these best practices are hard to capture in docs. There’s a subtle difference between what RabbitMQ *can* do, and *how* you should use it in different scenarios. Now is your chance to hear from seasoned RabbitMQ whisperers, Jerry Kuch and Wayne Lund.
Join Pivotal’s Jerry, Senior Principal Software Engineer, and Wayne, Advisory Data Engineer, as they share their top ten RabbitMQ best practices. You’ll learn:
- How and when—and when *not*—to cluster RabbitMQ
- How to optimize resource consumption for better performance
- When and how to persist messages
- How to do performance testing
- And much more!
Ryland Degnan, co-founder and CTO of Netifi and Dan Baskette, Pivotal host
Lack of asynchronous relational database drivers in Java has been a barrier to writing scalable, data-driven applications for many. R2DBC is seeking to change this with a new API designed from the ground up for reactive programming against relational databases—its intent ito support reactive data access built on natively asynchronous, non-blocking SQL database drivers.
How does this change the game for data access in the cloud? Used in conjunction with RSocket and Proteus, it is now possible to write applications benefiting from reactive streaming end-to-end, from the browser all the way to the database. No more fiddling with paging APIs, polling for updates, or writing complex logic to merge data from multiple sources--reactive streams can handle this all for you!
RSocket is an open-source, reactive networking protocol that is a collaborative development initiative of Netifi with Pivotal, Facebook, and others. Proteus is a freely available broker for RSocket that is designed to handle the challenges of communication between complex networks of services—both within the data center and over the internet—extending to mobile devices and browsers.
Attend this webinar to learn how to use Pivotal Cloud Foundry with R2DBC and Proteus to build reactive microservices that return large amounts of data in a streaming fashion over RSocket.
Spring's robust programming model is used by millions of Java developers worldwide. Drawing on more than a decade of experience with distributed Java, Spring today powers some of the most demanding, mission-critical Enterprise and consumer-scale web workloads. Also learn about open source projects like Concourse, RabbitMQ, Steeltoe, and Gemfire that form the foundation of modern software systems.