App Connect

App Connect

Join this online user group to communicate across IBM product users and experts by sharing advice and best practices with peers and staying up to date regarding product enhancements.


#Applicationintegration
#App Connect
#AppConnect
 View Only

IBM App Connect Enterprise on OpenShift (Bare-Metal)

  • 1.  IBM App Connect Enterprise on OpenShift (Bare-Metal)

    Posted 12 hours ago

    Architecture & Migration Discussion - What Breaks First and Why

    Most ACE on OpenShift discussions assume cloud or virtualized clusters.
    But in many
    banks, refineries, utilities, and industrial plants, OpenShift runs on bare-metal hardware - and that changes everything.

    The architecture looks clean on slides.
    In reality,
    hardware decisions leak into integration runtime behavior.

    Bare-Metal Foundation Layer

    Typical setup

    • Dedicated x86 servers (HPE / Dell / Lenovo)

    • No hypervisor abstraction

    • High-performance NICs

    • Local NVMe / SAN-backed storage

    • Dual power & network paths

    Why enterprises choose bare metal

    • Deterministic latency

    • Higher throughput

    • Regulatory isolation

    • OT / plant network integration

    But… OpenShift expects cloud-like elasticity. Bare metal doesn't forgive mistakes.

    OpenShift Cluster on Bare Metal

    Key components

    • Control plane nodes

    • Worker nodes (often CPU-pinned)

    • SR-IOV or bonded NICs

    • MetalLB / BGP for ingress

    • Local or external storage (ODF / SAN)

    Common assumptions that break

    • "Pods will reschedule fast" → Not when nodes are pinned

    • "Storage is fast" → Not if PVCs are misaligned

    • "Network is stable" → Not when MTU mismatches exist

    ACE doesn't crash - it waits.

    ACE Runtime Layer (Containers)

    Deployed as

    • Integration Servers / Integration Runtimes

    • BAR files packaged into images

    • ConfigMaps + Secrets

    • Persistent volumes (for stateful flows)

    Silent failure zones

    • CPU throttling under sustained load

    • Memory pressure causing GC stalls

    • Disk I/O latency blocking MQ flows

    • Pod restarts losing in-memory state

    Bare-metal issues surface as "slow flows", not errors.

    Networking: The #1 Root Cause

    Typical enterprise setup

    • Multiple VLANs

    • Firewalls between tiers

    • OT / IT network segregation

    • MTLS everywhere

    What breaks

    • MTU mismatches (9000 vs 1500)

    • Asymmetric routing

    • Firewall idle timeouts

    • DNS resolution delays

    • Service IP vs external IP confusion

    Symptoms:

    • MQ channels connect but don't transmit

    • TCP handshake works, data stalls

    • HTTPS calls hang without error

    Stop checking ACE logs.Start tracing packets.

    Storage & State (Often Ignored)

    Where state hides

    • Message aggregation

    • File-based flows

    • Large payload transformations

    • Persistent cache patterns

    Bare-metal pitfalls

    • Local PVs tied to nodes

    • SAN latency under load

    • PVC reclaim issues

    • Pod reschedule = state loss

    ACE appears healthy.Messages don't move.

    Security Translation Trap (VM → Container)

    On VMs

    • Filesystem-based keystores

    • OS-level certs

    • Static user accounts

    On OpenShift

    • Kubernetes Secrets

    • Mounted volumes

    • Namespaced isolation

    Problem

    Secrets exist ≠ ACE uses them

    Explicit mapping is mandatory:

    • Secrets → ACE credential aliases

    • Cert chains → ACE truststores

    • MQ certs → container keystore paths

    Security migration is never lift-and-shift.

    Observability: Where Most Teams Realize They're Blind

    Bare-metal failures don't scream.
    They whisper.

    Without:

    • Message-level tracing

    • Flow latency metrics

    • Correlation IDs

    • Node-level telemetry

    • AIOps-style analysis

    You won't know:

    • Where messages stop

    • Which hop delays

    • Which node throttles

    If you can't trace the message,
    you can't operate ACE on bare metal.

    Key Takeaway

    ACE on OpenShift + bare metal is powerful - but unforgiving.

    Most failures are:

    • Environmental

    • Stateful

    • Network-driven

    • Invisible at pod level

    When flows stall:
    Don't blame BAR files
    Don't restart pods blindly
    Instead
    Chase the message
    Inspect the hardware assumptions

    1️What was your first "ACE worked on VM but stalled on bare-metal OpenShift" issue?
    2️
    Which layer hurt the most - network, storage, or CPU throttling?





    ------------------------------
    [Karthik kumar] [T] [SVP Technology]
    [Cannyfore Technology]
    [+91 9600929239]
    [karthik.kumar@cannyfore.com]
    ------------------------------