OCP Datacomm RedHat - Kubernetes Launch
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This document provides an overview of cloud-native development and Red Hat OpenShift: - It discusses moving to cloud-native development through optimizing existing applications, developing new applications faster, and automating infrastructure. - Red Hat OpenShift is positioned as the enterprise solution for running Kubernetes in production, as it addresses limitations of "raw" Kubernetes through features like developer tools, operations automation, and additional services. - New features are highlighted for OpenShift 4.6, including improved application topology and monitoring, a new log forwarding API, and enhancements to the developer experience.
![What's new in OpenShift 4.6
Abstract Fluentd configuration by introduce new log
forwarding API to improve support and experience
for customers.
● Introduce a new, cluster-wide ClusterLogForwarder CRD (API)
that replaces needs to configure log forwarding via Fluentd
ConfigMap.
● The API helps to reduce probability to misconfigure Fluentd
and helps bringing in more stability into the Logging stack.
● Features include: Audit log collection and forwarding, Kafka
support, namespace- and source-based routing, tagging, as
well as improvements to the existing log forwarding features
(e.g. syslog RFC5424 support).
● WARNING: We will not automagically migrate old Tech
Preview CRs into a GA CR.
Infra
App
Audit
Forward logs to
different systems
based on their
“inputSource”.
inputSource=app
inputSource=audit
apiVersion: "logging.openshift.io/v1"
kind: "ClusterLogForwarder"
spec:
outputs:
- name: MyLogs
type: Syslog
syslog:
Facility: Local0
url: localstore.example.com:9200
pipelines:
- inputs: [Infrastructure,
Application, Audit]
outputs: [MyLogs]
Introduce new log forwarding API
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OCP Datacomm RedHat - Kubernetes Launch
- 3. Going cloud native: Where to start? 3 Optimize what you have and Innovate your new future Speed - Safety - Scale Develop & deploy new applications faster Modernize & integrate existing applications Automate & optimize application infrastructure Cloud Native Development
- 4. What kind of application platform will you need? 4 Process Infrastructure Architecture Waterfall Datacenter Monolith CICD DevOps Any Cloud (Micro)Services Lean, collaborative and fully automated software delivery lifecycle Write once, run anywhere. On- demand Scale, Fault tolerant by design and advance deployments. Loosely-coupled, modular apps are easier to build, test, deploy, update and change. Manage change by structuring teams & their work to utilize automation and architecture of cloud computing to boost innovation velocity Cloud Native Development
- 5. RED HAT TECH READY 2020 CONFIDENTIAL - INTERNAL AND PARTNER UNDER NDA USE ONLY 5 (Micro)services Containers Domain modeling APIs + Integration Architecture and design practices Agile, DevOps team structures Cloud-native team enablement Value delivery on open hybrid cloud Development workflow Secure, automated container pipeline Applications Public | Private | Hybrid Cloud-native development journey Iterative feedback Measured outcomes
- 6. GENERAL DISTRIBUTION Kubernetes: Container Orchestration Engine 6 DevOps with Containers and Kubernetes IMAGE REGISTRY SELF-SERVICE APP. SERVICES APP. LIFECYCLE MANAGEMENT MONITORING AND LOGGING OVERLAY NETWORK
- 7. F26173-201211 CONFIDENTIAL Designator DIY K8s vs Red Hat Openshift 7
- 8. What’s needed to put Kubernetes into production? Enterprise Linux Cluster services monitoring, showback, registry, logging Application services middleware, functions, ISV Service mesh Developer services dev tools, automated builds, CI/CD, IDE Automated operations certified Lacks many essential components 1. Operating system 2. Developer tooling and UX 3. Container runtime (CRI-O, Containerd, Docker, etc). 4. Image registry 5. Software-defined networking 6. Load‐balancer and routing 7. Log management 8. Container metrics and monitoring 9. DNS 10. Ingress 11. RBAC 1 2 11 10 3 6 7 4 5 8 9 The customer (or third-party) must configure, integrate, operate and support additional components to be fully operational.
- 9. “Kubernetes” vs. Red Hat OpenShift
- 10. Developer Productivity Cluster Services Automated Ops ⠇Over-The-Air Updates ⠇Monitoring ⠇Registry ⠇Networking ⠇Router ⠇KubeVirt ⠇OLM ⠇Helm 10 Kubernetes Developer CLI ⠇VS Code extensions ⠇IDE Plugins Code Ready Workspaces CodeReady Containers Service Mesh ⠇Serverless Builds ⠇CI/CD Pipelines Full Stack Logging Chargeback Databases ⠇Languages Runtimes ⠇Integration Business Automation 100+ ISV Services Platform Services Application Services Developer Services Physical Virtual Private cloud Public cloud OpenShift Kubernetes Engine Build Cloud-Native Apps Manage Workloads Multi-cluster Management Discovery ⠇Policy ⠇Compliance ⠇Configuration ⠇Workloads Advanced Cluster Management OpenShift Container Platform Managed cloud (Azure, AWS, IBM) Red Hat Enterprise Linux & RHEL CoreOS OpenShift is 100% certified Kubernetes Red Hat OpenShift = Enterprise Kubernetes
- 11. Based on the open Eclipse Che project (>10M pulls) Devfiles provide developer environments as code Extensible with VS Code extension compatibility Code Ready Workspaces 11 Cloud-Native IDE for secure and fast code development Onboard developers faster Easily monitor and operate with Prometheus and Grafana dashboards Reduce risk of security vulnerabilities in applications
- 12. What's new in OpenShift 4.6 Connectivity mode - Allows developers to focus on the composition of their application, both on how it’s managed as well as how things are connected. Parity between List & Graphical - Display Options - Filters - Find Admin’s Project-> Workload tab has an increased feature set Consumption mode - Allows developers to focus solely on components consuming resources. - Thus, no connectors are shown (Service Binding, Visual, Traffic, Triggers, etc), nor groupings. Pod count is shown by default. Application topology 12
- 13. What's new in OpenShift 4.6 Monitor your applications with ease! ● Improved discoverability of alerts in topology and Monitoring ● Easy access to Alert Details ● Alerts tab allows users to view application alerts & silence them as as needed ● Monitoring your sample application Quick Start available to show users how to access basic monitoring features Product Manager: Christian Heidenreich 13 Application Monitoring & Troubleshooting
- 14. What's new in OpenShift 4.6 Abstract Fluentd configuration by introduce new log forwarding API to improve support and experience for customers. ● Introduce a new, cluster-wide ClusterLogForwarder CRD (API) that replaces needs to configure log forwarding via Fluentd ConfigMap. ● The API helps to reduce probability to misconfigure Fluentd and helps bringing in more stability into the Logging stack. ● Features include: Audit log collection and forwarding, Kafka support, namespace- and source-based routing, tagging, as well as improvements to the existing log forwarding features (e.g. syslog RFC5424 support). ● WARNING: We will not automagically migrate old Tech Preview CRs into a GA CR. Infra App Audit Forward logs to different systems based on their “inputSource”. inputSource=app inputSource=audit apiVersion: "logging.openshift.io/v1" kind: "ClusterLogForwarder" spec: outputs: - name: MyLogs type: Syslog syslog: Facility: Local0 url: localstore.example.com:9200 pipelines: - inputs: [Infrastructure, Application, Audit] outputs: [MyLogs] Introduce new log forwarding API 14