CloudEXPO | DevOpsSUMMIT | DXWorldEXPO

Six Kubernetes Pain Points and How Cloud Can Solve Them

With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.

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When the Clouds Part: How to Better Manage Your Cloud Infrastructure

On-premise or off, you have powerful tools available to maximize the value of your infrastructure and you demand more visibility and operational control. Fortunately, data center management tools keep a vigil on memory contestation, power, thermal consumption, server health, and utilization, allowing better control no matter your cloud’s shape. In this session, learn how Intel software tools enable real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you’re forecasting for tomorrow.

Serverless Architecture Security Patterns

Serveless Architectures brings the ability to independently scale, deploy and heal based on workloads and move away from monolithic designs. From the front-end, middle-ware and back-end layers, serverless workloads potentially have a larger security risk surface due to the many moving pieces. This talk will focus on key areas to consider for securing end to end, from dev to prod. We will discuss patterns for end to end TLS, session management, scaling to absorb attacks and mitigation techniques.

Cloud-Native: A New Ecosystem for Putting Containers into Production

The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications.

Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more.

In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.

Serverless Architecture: Separating Logic From Plumbing and Paving the Way to Decentralized Execution

Technological progress can be expressed as layers of abstraction - higher layers are built on top of lower layers treating them as abstract black boxes with known interfaces. A serverless approach represents an inflection point that entirely separates the runtime layer from the underlying execution infrastructure. This paves a way for computations where the ultimate execution environment is not known in advance.

Dev How You Want. Run Where You Want: Application Portability with Kubernetes

Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.

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AWS ECS, like Kubernetes, is a container orchestration solution. It makes us easier to deploy, manage, and scale out container workloads. However, with ECS we are still responsible for the availability, capacity, and maintenance of the underlying infrastructure. AWS Fargate is a technology that we can use with ECS to run containers without having to manage servers or clusters of EC2 instances. With AWS Fargate, we no longer need to provision, configure, and scale clusters of virtual machines to run containers. This removes the need to choose server types, decide when to scale your clusters, or optimize cluster packing.
In this session we will do a live demo of a CICD pipeline which automate the build and deployment of microservice application onto AWS ECS and Fargate. The CICD pipeline will continuous deliver into various environments and various pipeline stages. The demo will utilize only AWS services including AWS CodeCommit, Codebuild, code pipeline, ECR, ECS and Fargate.

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Cloud server and storage performance is highly dependent on the actual (real world) application workload. New IO Capture tools allow for the capture, analysis and test of real world workloads on cloud server storage. See how a Retail Web Portal 24 hour workload for 2,000 retail outlets is used to analyze load and traffic, create a test workload and used to compare performance on a variety of cloud and datacenter storage.

Serverless Architecture on Amazon Web Services (AWS)

Serverless Architecture is the new paradigm shift in cloud application development. It has potential to take the fundamental benefit of cloud platform leverage to another level.

“Focus on your application code, not the infrastructure”

All the leading cloud platforms provide services to implement Serverless architecture : AWS Lambda, Azure Functions, Google Cloud Functions, IBM Openwhisk, Oracle Fn Project.Key takeaways for the audience:

• What is Serverless architecture ?
• Serverless architecture essential features and benefits
• Pros and Cons, criteria for selection
• Serverless Archtiecture design patterns
• How to design Serverless backend APIs for mobile and web applications on the AWS
• Contributing technologies : UI, API gateway , Databases, Workflows, Security

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