What's Next in OpenShift (Q2CY2022)

What’s Next in OpenShift
Q2CY2022
OpenShift Product Management
1

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What's Next in OpenShift Q2CY2022
2
Speakers
Scott Berens Mark Russell Boaz Michaely Brian Cook
Jeff Brent
Michal Zasepa

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Open Hybrid Cloud
3
Traditional
N-Tier Apps
Cloud Native
Microservices
ISV Packaged
Apps
Physical Virtual Private cloud Public cloud
Red Hat Enterprise Linux
Edge cloud
Red Hat OpenShift
Red Hat Open Hybrid Cloud
Data, Analytics
& AI/ML
Enabling any application, on any infrastructure, in any location

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IDC Survey of 200 US-based $1B companies actively using two
or more “infrastructure clouds” for production applications
81%
Challenges with Hybrid Cloud Management
4
Source:
IDC Multicloud Management Survey, 2019: Special Study, Doc # US45020919, April 2019
*IDC Survey of 200 US-based $1B companies actively using two or more “infrastructure clouds” for production applications
As organizations deploy more clusters
across multiple clouds, new challenges
arise.
▸ Difficult and error prone
to manage at scale
▸ Inconsistent security controls
across environments
▸ Overwhelming to verify
components, configurations,
policies, and compliance
Using multiple infrastructure clouds*
93%
Using multiple public clouds and
one or more private/dedicated
clouds*

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5
Reasons for deploying clusters
Application
availability
Reduced
latency
Address industry
standards
Geopolitical data
residency guidelines
Disaster
recovery
Edge
deployments
CapEx
cost reduction
Avoid vendor
lock-in
Hybrid Cloud and OpenShift Platform Plus

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CONFIDENTIAL designator
• Service mesh | Serverless
• Builds | CI/CD pipelines
• GitOps | Distributed Tracing
• Log management
• Cost management
• Languages and runtimes
• API management
• Integration
• Messaging
• Process automation
• Databases | Cache
• Data ingest and preparation
• Data analytics
• AI/ML
• Developer CLI
• Kubernetes-native IDE
• Kubernetes on laptop
• Plugins and extensions
Developer services
Developer productivity
Kubernetes cluster services
Install | Over-the-air updates | Networking | Ingress | Storage | Monitoring | Log forwarding | Registry | Authorization | Containers | VMs | Operators | Helm
Linux (container host operating system)
Kubernetes (orchestration)
Physical Virtual Private cloud Public cloud Edge
Cluster security Global registry
Multicluster management
Data services*
Data-driven insights
Application services*
Build cloud-native apps
Platform services
Manage workloads
* Red Hat OpenShift® includes supported runtimes for popular languages/frameworks/databases. Additional capabilities listed are from the Red Hat Application Services and Red Hat Data Services portfolios.
** Disaster recovery, volume and multicloud encryption, key management service, and support for multiple clusters and off-cluster workloads requires OpenShift Data Foundation Advanced
Observability | Discovery | Policy | Compliance |
Configuration | Workloads
Image management | Security scanning |
Geo-replication Mirroring | Image builds
Declarative security | Container vulnerability
management | Network segmentation |
Threat detection and response
RWO, RWX, Object | Efficiency |
Performance | Security | Backup |
DR Multicloud gateway
Cluster data management
6
Red Hat Hybrid Cloud Platform

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7
Red Hat OpenShift
Available as self-managed platform or fully managed cloud service
Red Hat OpenShift Dedicated2
Red Hat OpenShift
service on
Amazon Web Services1
Microsoft Azure
Red Hat OpenShift
Red Hat OpenShift on
IBM Cloud1
Managed Red Hat OpenShift services
Self-managed Red Hat OpenShift
On public cloud, or on-premises on
physical or virtual infrastructure3
Source:
1 In preview as of 1/1/2021. Also available as Red Hat OpenShift Dedicated managed service running on user-supplied AWS infrastructure.
2 Red Hat managed service running on user-supplied GCP infrastructure
3 See docs.openshift.com for supported infrastructure options and configurations
Start quickly, we manage it for
you
Cloud managed
You manage it, for control and
flexibility
Customer managed

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Hybrid Cloud
and
Openshift Platform Plus
8
Edge computing with Red Hat OpenShift
What’s Next in OpenShift Q2CY2022

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9
Red Hat Advanced Cluster Management for Kubernetes
Improvements in secrets
management and manifest
signing within software
supply chain.
Cluster deployments using
cloud keys and tokens.
Security Everywhere
Deploy OCP across any cloud
and on-premise infrastructure
using Hosted Control Planes.
Leverage Configuration
Management cloud service
across your fleet.
Platform Consistency
Reduced Security Risk Reduced Complexity
Industry best tooling across
workload delivery, cluster
networking, governance,
compliance, and business
continuity all driven by desired
state management.
Unified Experience
Reduced Total Cost of
Ownership

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Hybrid Cloud Console
10
Managed Cluster Managed Cluster
Managed Cluster
● Extend the fleet level views with new
layered experiences
● Dynamic plugins enable partners &
customers to create native integrations at
the fleet or cluster level
Hub Cluster
● Activate the fleetwide experience and
enable cluster lifecycle from the OCP
Console with the new multicluster
engine operator (MCE)
● Fleet-wide auth for managed clusters
Security
Everywhere
Platform
Consistency
Unified
Experience
New Hub⇆Managed Cluster Intelligence
Uniﬁed OpenShift Platform Plus UX

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11
Hybrid Cloud
Governance &
Compliance
OpenShift
GitOps
Advanced
Cluster
Management
Ansible
Application
Delivery
MLOps
Supply Chain
Security
Edge
Advanced
Cluster
Security
Cluster Lifecycle
Management
Culture of Consistency through Automation

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storage
infrastructure
OpenShift
storage
services
OpenShift
Data Foundation
Essentials
OpenShift
Data Foundation
Advanced
12
Container Storage Interface
Cloud volumes, SAN, NAS,
disk drives, flash arrays, etc)
K8s workload+data protection
(backup/recovery)
K8s-native Disaster Recovery
(orchestrated site fail-over)
Availability tolerant of cloud
zone, node, drive, net failures
Multi-cluster
Orchestration
All-in-one data access methods
(RWO, RWX, S3-compat object)
OCP Console plug-in for monitoring, alerting
● Azure File CSI
● Cloud provider’s CSI migration
● CSI in-line & ephemeral volumes
● CSI resize
● Secrets Store CSI
● Selinux context mount
PV-level encryption with KMS
Cluster-wide encryption
● Multi
`cloud Object Gateway file system
namespace
● ODF LVMO for Single Node OpenShift (TP)
● Richer IOPS, throughput, latency stats in
OCP Console plug-in
● Regional DR: ACM orchestrated failover of
stateful workloads across regional sites
● OpenShift APIs for Data Protection (v1.0),
designed for backup/recovery partners
OpenShift Multi-Cluster Storage

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13
Red Hat Quay
Scanning coverage beyond
container base images (Java /
Go packages)
Trust & verify with signatures
Security Everywhere
New RBAC model for
unprivileged tenants
Granular control over content
creation and growth
Remediate security risk
before production
Consistent permission
model
Visual consistency with a
completely new UI
Integration of quay.io into
console.redhat.com
Unified Experience
Consistent UX from
self-managed to hosted

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Red Hat Advanced Cluster Security
14
● Workload Vulnerabilities
○ Admission controller to validate images signed
with cosign
○ Identify inactive software components for faster
remediation
○ Full host level vulnerability scanning starting with Red
Hat CoreOS
● Network Policy
○ Identify missing network policies
○ Intelligent recommendation for network policy
creation
○ Visual network policy editor
Security Innovation
● Policy Management
○ Bulk operations with resource sets and policy
sets
○ RH ACS / OPA Gatekeeper integration
● New KPI Dashboard
● New Compliance GUI

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Red Hat Advanced Cluster Security
15
● Common compliance experience across RHACM
and RH ACS
● Common scanner experience across RH ACS and
Quay
● Service Mesh
Portfolio Integration Open Source
● Stackrox.io is the upstream project for RH ACS
● Contribute StackRox scanning code to Clair
● Contribute StackRox code to Falco collector
libraries
● Extend KubeLinter to cover Kubernetes
operators
ACS as a Cloud Service

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Telco and Edge
16

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17
Hardware and Accelerators
Infrastructure services including
Networking, Storage, AI/ML in a
separate cluster on ARM cores in
the NIC. Tenant workloads in x86
cluster
SmartNICs
Programmable FPGA support for
resources offload (e.g. firewall, load
balancer, QoS…) and GPUs with 5G
Core and RAN acceleration (GTP, FEC)
Operators to manage Accelerators
Accelerators
Isolation of Tenant and
Infrastructure cluster
High Performance
Network/Services and
resource optimization
Address Telco use cases
with Optimal Platform Tuning and
leverage Specialized Hardware
NextGen Hardware
Agile Infrastructure with the
latest Hardware [Efficient,
Scale, TCO]
Telco 5G Core and Edge

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Future install workflow
1. Install OpenShift
2. Apply the PerformanceProfile
PAO becomes part OpenShift core components
PAO is becoming a sub-controller of the Node Tuning Operator (NTO)
Today’s install workflow
1. Install OpenShift
2. Install PAO Operator
3. Apply the PerformanceProfile
Upgrade workflow: almost transparent
1. PerformanceProfile API is unchanged
2. PAO Operator is automatically uninstalled
a. PerformanceProfile is now implemented by NTO!
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
name: myprofile
spec:
cpu:
isolated: "2-21,26-37"
reserved: "0-1,24-25"
…/…
18

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19
The complexities of edge computing/5G RAN
Different edge sites can vary in
network connectivity, space, and
power/cooling/performance
Variability
Need to deploy and
manage
hundreds to thousands
sites and nodes
Scale
Nodes are tuned so that RAN
realtime workloads can leverage
advanced timing/synchronization
and hardware accelerations.
Advanced Timing and
Synchronization
Versatile footprints and
infrastructure cost
saving
Ease of Management
through RHACM and ZTP
(RAN) Technology Evolution

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20
C W
Single Node OpenShift
➤ Originally introduced in OpenShift 4.9 (Q4 2021) as
bare-metal only:
○ Introducing additional footprints through 2022, starting
with Red Hat OpenStack Platform, Red Hat
Virtualization, and vSphere (all with platform: none)
to support more scenarios
➤ Minimum memory requirement in the process of being
retroactively reduced to 16 GB RAM across all deployment
paths based on further successful testing since GA in 4.9
Combined control plane and worker on a single server for edge use cases that require
resilient in case of no or intermittent connectivity to a central site
➤ Worker node based capacity expansion for edge
scenarios that require more per-site capacity, but not HA
within a site (failover to another site is the HA model
instead)
➤ Default networking for new single node deployments
specifically will switch to OVN-Kubernetes in a future
release to better align with edge networking requirements

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21
Power Optimizations for Telco
BIOS
Hardware
Red Hat CoreOS
Red Hat OpenShift
Telco Workload
Enable application pods to set a
required power performance profile
● Extend PAO/NTO to allow the
user to define a set of CPUs to
offline if not needed
● Tiered performance pools
Develop automation to tune nodes
for power savings prior to Zero
Touch Provisioning
Default all cores to lower power
state at start-up

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OpenShift Cloud Services
22

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23
New Cloud Service areas
Cloud services
Advanced Cluster
Security
Cloud Service
Storage
Cloud Service
Software Supply Chain
Cloud Service
Developer Studio
Cloud Service
GitOps & Pipelines
Cloud Service
Complement our “cluster” Cloud
Services with new “app” services.
Cloud services that share the
same technology investments in
use within OpenShift for
seamless integration
Developer access to
multi-cluster aware tools
without toil
Multi-cluster Workload
Cloud Service
kcp

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24
Management @ console.redhat.com is getting better!
Fleet Admin Workload Explorer Application Service Integrations
Cloud services
Shift past read-only to
active management console.redhat.com
Dive deeper into your clusters
than was possible before
Cluster Create
Wizard
Augment clusters with cloud
application service capabilities
Central and consistent
management tools
xKS
Support
Capacity
Planning
API
Explorer
Team
Workspaces
Your Apps APIs
Fully managed Kube tools

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Cloud services
25
Managed OpenShift Value
Achieve compliance with
more industry certifications
and governmental
compliances
Security Everywhere
If it runs on OpenShift it will
run on managed OpenShift
Offer more flexibility in
the kinds of workloads
that can be run
Reducing the barriers to
adopting managed
OpenShift
Allow users to create all
managed OpenShift clusters
from one single location
Unified Experience
Simplicity of operations

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Cloud services
26
Red Hat OpenShift cloud services
BYO Key for KMS, enabling EBS
encryption as well as
multi-region keys.
Short term token based
credentials across supported
clouds.
Security Everywhere
Only run the platform when
you need it: Pause your
environment (and payments)
when not in use.
Platform Efficiency
Enable additional security
options for our sensitive
customers
Enables most efficient use
of resources
Allow customers more options
when choosing worker nodes
to address many different
workloads or budgets.
Expanded choice
Meet customer where they
are

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27
kcp: transparent multi-cluster for your fleet
Cloud services
Smart Control Plane (kcp)
Cluster 1 Cluster 3
Cluster 2
kubectl create -f app.yaml
↳Namespace
↳Deployment (replicas=5)
↳Service
P P P P P
Namespace
My App Workspace
● Works with any Kube YAML
● Spread workload across clusters
● Don’t worry about clusters
● Solve scale issues by breaking down into smaller clusters
● Apps can be assigned to groups of clusters
● Cordon off a cluster for upgrade, removal, debugging
Transparent multi-cluster for developers
Easier management for infrastructure admins
Open source project: https://github.com/kcp-dev/kcp/
Service launch will be later this year

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Node Node
Pod Pod
● Start securing Kubernetes deployments in minutes
● Secure any supported Kubernetes cluster across your hybrid cloud
● Managed by Red Hat
○ Red Hat SLA
○ 24 x 7 support
● Flexible consumption models
Introducing Advanced Cluster Security as a Service
28
ACS
Node Node
Pod Pod
Node Node
Pod Pod
Node Node
Pod Pod
Private cloud
Node Node
Pod Pod
EKS / ROSA AKS / ARO GKE / OSD
RHOIC OCP

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Core, Platform and
Developer Tools
29

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Installation, Updates, and Provider Integration
30
● Add new platforms
● Add new regions to existing platforms
● Add more instances types and
capabilities
● Agent-based installer
● Hosted Control Planes (HyperShift)
● Composable installation
Installation
Upgrades
Platforms
Enable Hybrid
Cloud
Simplify
onboarding
Mitigate risk
● Improve update behavior and
conditional updates
● Enhance update documentation
Core, Platform and Developer Tools

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31
Compute
● Enable pluggability with
cloud native solutions:
KMS, DNS, LB
● GA Cert-manager
● Enable Pod Security
Admission by default
● Alert when the etcd
container memory
consumption exceeds
threshold
Consistency
● Self-driven control plane with
automated scaling, backups and
DR of the control plane
● Introducing OpenShift CoreOS
Layering
● Improved Audit Logging
● Improved API Server Alerting
Experience
Enables Hybrid Cloud and
accelerates projects
More choice and flexibility
to meet standards and
compliance
● Enable Arm on more cloud
providers
● More IBM P/Z innovations
● Mixed CPU chip
architecture
● DPU/IPU integration with
unique architectural
approach
Platform
Enable new workloads and
reduce TCO

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OpenShift CoreOS Layering
32
● Derive and configure customized RHEL CoreOS
images through a container build pipeline
● The output is a standard OCI container
● Validate the build
● Push to node: rpm-ostree applies the changed
layers to disk (normal block device)
● Maintain a redeployable process
● 3rd party RPMs
● RHEL packages not shipped in RHCOS
● RHEL hotfix packages
Custom
Packages
Build Process
Create a golden
build process
Meet the needs of
your environment
& reduce issue
resolution times

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Multi-cluster End-to-End Networking
33
Gateway API
Platform-Native Load Balancing
Ingress Controller
Physical Virtual
Private cloud Public cloud Managed cloud Edge
Node Node Node
Pod Pod Pod
OVN
OVS
▸ Unified traffic handling so you configure all
your traffic the same way
▸ OVN for advanced traffic workloads
▸ IPv6 single/dual stack across all platforms that support it
▸ eBPF for policy, traffic control, tooling, debugging, observability
▸ Advanced host-level firewall functionality
▸ Observability enhancements across all networking (e.g. SR-IOV)
▸ Multi-NIC support to align host networking
▸ HW Offload (OVS, IPsec, ...) for performance
▸
▸ Any supported platform – add or swap easily,
hybrid scenarios
▸ Flexibility to use native traffic distribution and
filtering (e.g. WAF) for optimal performance
▸ Your traffic, your way: L3-L7, Envoy, by-pass,
custom HTTP header support
Istio Ingress
Internet
Submariner

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Observability
Networking
34
Security
Everywhere
Platform
Consistency
Unified
Experience
Network Traffic Metrics and Tracing
Network Policy and Governance
Network Traffic Flow and Topology
Whether one cluster or one
hundred, developers and cluster
administrators require seamless
connectivity across applications.
Security and regulatory compliance
requires governance of traffic in,
around, and out of networks.
Developers and administrators
require a common understanding of
their traffic within and across cluster
boundaries.
Network Flow Data – New Insight & Presentation
Tabular Netflow data, NOC Dashboard, Pod/Service/Node-specific
Topology, New Metrics, Export options

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Observability
Monitoring, Logging and Distributed Tracing
35
Enhancements to distinguish
between Workload Monitoring &
User Defined Projects to
monitor flexible Hybrid
Workloads and Applications
Observability
"The capacity for human
to ask and answer
questions"
Easy handle on
Distributed
Visualization
Flexibility
Correlation
Consistency
Simplified
Observability
Improved Thanos and
Prometheus Support to extend
using remote write for storage
and platform monitoring for
OpenShift Workloads
Extensible visualization flexibility
enabling Dashboards or OpenShift
Console Visualization Across
Cluster Workloads.
Log Exploration Tools
OpenTelemetry Collector to help
you decide how to best handle
your Telemetry data and bring the
legacy workloads into your
observable focus.
Either for one or many workloads,
Distributed Tracing allows you to
deal with the complexity of
Distributed Workload scenarios
easily.
Data Collection
Integrated

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36
Custom Metric Autoscaler (KEDA)
● KEDA is built on top of Kubernetes
● Use ScaledObject/ScaledJob to define
scaling metadata
● Manages workloads to scale to 0
● Registers itself as k8s Metric Adapter
● Provides metrics for Horizontal Pod
Autoscaler (HPA) to scale on

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OpenShift on Bare Metal
37
More hardware supported through
Redfish improvements.
Hosted Assisted Installer will be
promoted to GA from Tech Preview.
SaaS Installer
Agent-based
Installer
Hardware support
for nodes
Hardware
integration
Improvements
Assisted
Installer GA
Faster, easier
on-premises
installations
Agent-based installer to easily create
initial cluster. Automate on-premises
clusters installations. Install via UI.
Metal3

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OpenShift sandboxed containers
38
Isolation using native Kube
runtime (runtimeClass)
Node Selection and pre-install
Feature Discovery
Monitoring/Metrics from
OpenShift console
Same Experience,
Additional Isolation
Unified Experience
More deployment options for Bare
Metal providers On-Premises and
on Cloud (e.g., AWS)
Reuse existing cloud stacks to
achieve isolation, remove
deployment restrictions
Optionality to lower
barriers of entry
Sandboxed containers policy with
RHACM brings additional isolation
at the fleet level.
Qualifying to run on the various
OpenShift form factors.
Security Everywhere
Secure by Default

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OpenShift Support for Windows Containers
39
Windows nodes will move to
Containerd as the runtime, and
CSI for storage, thus future
proofing consistency and
application portability for Windows
Consistent experience with
upstream
Support for Windows Server 2022,
more networking plugins (Calico
etc) to provide additional
platform choices for Windows
applications running on
OpenShift
Expanding Ecosystem
Broader compatibility
Health Management of Windows
Nodes with self healing will allow for
better resiliency of the Windows
nodes (e.g. recovering from a
Kubelet crash). Horizontal Pod
Autoscaling of Windows pods to
will enable workloads to be scaled
to match demand
Unified Experience
Easy Management of
Windows apps

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40
OpenShift Virtualization
RBAC for VM templates
Isolate Live Migration with
dedicated network
Multi-tenant virtual OpenShift
clusters with Hosted Control
Planes (HyperShift)
Enhanced secondary network
using micro-segmentation on OVN
Security Everywhere
More depl choices with Public
Cloud & Bare Metal providers
RHEL 9 & Windows 11 guests
Network latency checks for telco
and high performance workloads
Enhanced Ecosystem of Data
Protection partners
Enhanced security and
controls for VMs
Broader Compatibility
New VM creation Wizard flow
VM centric overview page
Performance tuned VM templates
Improved flexibility with live
migration policies
Support RHEL High Availability
Unified Experience
Manage VMs at Scale

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● Enable new generic bundle API so OLM supports other package formats (e.g.
Helm charts or raw k8s manifests.)
● Expand bundle packaging to other Java/Quarkus SDK plugin.
● Simplified procedure to create and update disconnected operator catalogs.
● Granular content selection & automated pruning.
● At day0 OLM-managed operator can be included in the cluster lifecycle.
● Operators can define support constraints for cluster configurations.
● Enable Operators to optimize memory usage and network performance.
● Clusters get multi-tenancy with global operators using granular permission
and visibility management.
● Operator developers can introduce additional update graphs without a new
release and promote versions between channels.
● Improved testings around deprecated APIs and promote best practices across
in the SDK and build pipeline.
Enabling Workloads on OpenShift
41
Updates
Composable
clusters + better
scaling and
tenancy.
Disconnected
Disconnected
customers have a
connected UX.
Quality releases
and publish in
channels at ease.
Operators
Ecosystem
Expanding Red Hat
and partner
ecosystem.

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Kubernetes-style multi-tenancy,
GitOps self-service, expand
support on cloud services,
Power/Z/Arm archs
GitOps workflows for CI,
Extended pipeline history
retention, expand support
on cloud services, Arm arch
Pipeline and Task
governance, Curated
Tekton Hub
Secret management guidance,
Secret manager integrations
Helm workflow enhancements,
application and cluster
configurations bootstrapping
Concurrency control,
mono-repo support
CI/CD & GitOps
42
OpenShift GitOps
Security
Everywhere
Platform
Consistency
User Experience
OpenShift Pipelines
Software supply
chain security
Improve User
Experience
Improved
operational
experience

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43
OpenShift Serverless
End to End encryption for
internal and external
services
Broker and Channel
authentication and
authorization
Multi-Tenancy
Security Everywhere
OpenShift Serverless on every flavor of
OpenShift on all managed flavors
OSD/ROSA/ARO, disconnected clusters,
and Single Node OpenShift
Creation of apps in “cluster agnostic”
environment
Default deployment for stateless workload
Reduced exposure and
risk
Increased productivity
Integration for platform
services, Elevated Serverless
Function experience. Event
sources to cover the breadth
of applicability
Unified Experience
Enhance developer
experience for Event
Driven solutions

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44
OpenShift Service Mesh
Secure traffic and manage
application based policies
consistently across a
zero-trust multi-tenant,
environment.
Security Everywhere
A consistent platform with Istio
service mesh across clusters,
cloud providers, regions, and
infrastructure types.
Reduced exposure and
risk across your network
Reduce complexity with a
consistent platform
experience
Improved integrations with
OpenShift Console, cluster
monitoring, API management,
Ingress and more.
Unified Experience
Save time - solving
integrations for you!

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45
Migration Toolkit for Applications
Enable adoption leads to
take informed decisions and
make the migration and
modernization process
measurable and predictable
Gather Insight
Fully integrated toolkit
leveraging multiple Open
Source tools with a seamless
user experience
Extended Scope
Reduce risks Provide value on each
stage of adoption
Help organizations safely
migrate and modernize their
application portfolio to
leverage OpenShift
Migration Guidance
Ease OpenShift adoption

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46
Migration Toolkit for Red Hat OpenShift
MTRHO
migration by developers
directly from OpenShift UI
MTC
mass migration by cluster
admins in dedicated UI
2 migration tools
2 use-cases
Always getting better at supporting
3=>4 migrations and in-place
storage conversions
Migration Toolkit for Containers
MTC
Brand new operator to provide
migration capabilities for
developers directly from the
OpenShift console
Migration Toolkit for OpenShift
MTRHO
Tech preview expected mid-2022 MTC 1.8 expected
later this year

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What's Next in OpenShift (Q2CY2022)

What's Next in OpenShift (Q2CY2022)

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