List of videos

When it comes to distributed, event-driven messaging systems, we usually see them supporting either one of two types of semantics: streaming, or queueing, and rarely do we find a platform that supports both. In this presentation, we’ll first get an introduction and some clarifications of event-driven versus message-driven systems, event streams, and stream processing. We’ll then take a look at Apache Pulsar which offers a very unique capability in modern, cloud-native applications and architecture, in which its platform supports both Pub-Sub and Message Queues, and extends into streams processing as well as performs message mediation & transformation. We will look at how it relies on Apache Bookkeeper for its durable, scalable, and performant storage of log streams, and leverages on Apache Zookeeper. We will also see how Pulsar is meant to bring the best of other systems, such as how it fills the gaps that Kafka has and extends its streaming capability in the complex cloud world. Other talks at this conference 🚀🪐 https://www.conf42.com/cloud2022

As we go deeper into cloud-native applications, microservices are becoming a part of any developer’s life. Together with Kubernetes and service meshes, they became the de facto standard in the industry. However, one question arises with microservices: How to implement distributed transactions in such an environment? In this talk, we will discuss distributed transaction methodologies, talk about real-life scenarios, and provide a hands-on resolution in the Istio service mesh using the Hazelcast application platform. The attendees will easily understand the distributed saga pattern, backend architecture, and the topology of the solutions with live demonstrations. Other talks at this conference 🚀🪐 https://www.conf42.com​/cloud2022 — 0:00 Intro 1:27 Talk

As Wix Kafka usage grew to 1.5B messages per day, over 10K topics and over 100K leader partitions serving 2000 microservices, we decided to migrate from self-running cluster per data-center to a managed cloud service (Confluent Cloud) with multi-cluster setup. This talk is about how we successfully migrated with 0 downtime and full traffic and the lessons we learned along the way. These lessons include: 1. Automation, Automation, Automation - all the process has to be completely automated at such scale 2. Prefer a gradual approach - E.g. migrate topics in small chunks and not all at once. Reduces risks if things go bad 3. First migrate test topics with relayed real traffic - So data will be real but will not effect production. 4. Cleanup first - avoid migrating unused topics or topics with too many unnecessary partitions 5. Adapt to Confluent Cloud APIs - e.g. lag monitoring Other talks at this conference 🚀🪐 https://www.conf42.com​/cloud2022 — 0:00 Intro 1:27 Talk

In this session you will learn more about the native container services available in AWS. The session will be a guided tour of an imaginary company that is just starting out and how they used App Runner to kickstart their online presence. Of course they were a huge success and as their business continues to grow, they continue to expand and use Amazon ECS and AWS Fargate to help them succeed. Other talks at this conference 🚀🪐 https://www.conf42.com/cloud2022 — 0:00 Intro 1:27 Talk

Data Management is required across the board when it comes to any platform, we could be talking about Virtualisation, Cloud (IaaS, PaaS, SaaS, etc), Cloud-Native, and Legacy and sometimes all of these platforms are linked together to serve the end-user. Data Management consists of many different facets including Backup, Recovery, Migration, and also leveraging that data as part of another use case that does not interfere with the production environment. In this session we are going to focus on protecting stateful workloads in your cloud-native Kubernetes environment, the importance of making sure your data services are protected but also the capabilities available to enable easy migration between multiple different Kubernetes clusters and environments. Database not running in Kubernetes? That is fine we also have a unique way of being able to protect your data services that reside outside of the Kubernetes cluster. If we have time, we can also touch on the ability to add this to your continuous deployment process to ensure that your data service is also protected before any code change. Other talks at this conference 🚀🪐 https://www.conf42.com/cloud2022 — 0:00 Intro 1:27 Talk

This talk is about all of the benefits of resource tagging. There are so many uses for it like organization, automation, cost analysis, etc. It is such an easy step that a lot of people simply skip when deploying resources, because it isn't a required step. Slightly altering your process, even with some easy-to-use tools, can help make your life easier. We will break down a lot of the uses, some tools to help make the job easier, and answer any questions you may have. Other talks at this conference 🚀🪐 https://www.conf42.com​/cloud2022 — 0:00 Intro 1:27 Talk

Organizations are always seeking to expand the bottom line with cost and time efficient technologies without compromising quality. Considering a cloud-agnostic strategy is an affordable option to efficiently build and run cloud-native applications. The popularity of cloud-agnostics is not a new occurrence. Most organizations examine a cloud agnostic strategy due to the savings. It’s expensive to maintain and run servers. You need a dedicated IT person or company to manage the servers just to keep up with the load which quickly becomes a costly headache. Going cloud-agnostic frees your company from the shackles and helps save money. When you choose cloud-agnostics, there are costs involved for the orchestration or executions, but they are not very much and won’t break the bank compared to running and maintaining servers. You pay for the number of executions which occur in each millisecond by using the API when you send and receive information. A short task is not overly costly compared to using a server. It’s true, nothing in the world of technology is perfect or might even meet your particular needs. As with anything, there are some downsides to cloud-agnostics. After this talk we are confident that you’ll discover the benefits of cloud-agnostic technologies far outweigh the drawbacks for most organizations. Other talks at this conference 🚀🪐 https://www.conf42.com​/cloud2022 — 0:00 Intro 1:27 Talk

The craft of Software Engineering has been around for decades and we have learned and improved a lot along the way. Things like keeping code in source control are taken for granted these days, but we remember the days when the latest code existed on production servers or on an engineer’s machine. As improvements to the craft of Software Engineering gained momentum, the way infrastructure was managed lagged, remaining a manual process for many teams. Over time best practices for Software Engineering are being applied to infrastructure. The quintessential example is Infrastructure as Code. In this presentation, we will talk about how the history of Software Engineering has and will continue to shape the improvement of infrastructure practices. Then we will introduce newer concepts like Environment as Code that will help further the craft of managing Infrastructure, beyond IaC. Other talks at this conference 🚀🪐 https://www.conf42.com/cloud2022 — 0:00 Intro 1:27 Talk

Everyone agrees that infrastructure as code is vital to managing cloud resources, but what are the best ways to arrange and manage that code? How does GitOps fit into the picture? Jim will share different approaches that he has seen development teams adopt, to be successful in managing not only their cloud infrastructure, but their Kubernetes resources as well. Jim will cover git repository structure and layout, as well as when it makes sense to split configuration into multiple repositories. Once the structure is created, Jim will go over how to best test and apply the configuration changes from development to production. Other talks at this conference 🚀🪐 https://www.conf42.com/cloud2022 — 0:00 Intro 1:27 Talk