TSCO-10.0-Managing Capacity in an OpenStack environment

Connect with BMC TrueSight Capacity Optimization
v10.0 Managing capacity in an OpenStack environment
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Connect with BMC TrueSight Capacity Optimization 10.0
Managing capacity in an OpenStack
environment
—
Speaker
Sudheer Apte, Product Development Architect
April 28, 2015
Connect with BMC TrueSight Capacity Optimization
Agenda
Managing capacity in an OpenStack Environment
• Introduction to OpenStack
• OpenStack configurations and evolution
• Collecting data into TrueSight Capacity Optimization
• Managing Capacity of OpenStack
Introduction to OpenStack
—
Connect with BMC TrueSight Capacity Optimization 10.0
What is OpenStack?
“Cloud operating system”
Infrastructure as a Service (IaaS) software.
Manage compute, storage, network.
Open source, public APIs
Heat = service orchestration
What can it do?
IaaS
Examples:
- start, stop, resume an instance
- create, attach a volume
- take snapshots
Horizon dashboard
For cloud provider and for tenant user
OpenStack terminology
OpenStack term
Meaning
Server, instance
Virtual machine
Compute node, hypervisor node
Virtual host. Can be KVM, XenServer, VMware cluster…
Image
Virtual machine template
Volume, block volume
Virtual disk attached to a virtual machine
Ephemeral volume
One having the same lifetime as its virtual machine
Persistent volume
One created independently and attached to VM
Block storage service
Service to create, delete, and manage block volumes
Image service
Service to create, delete, and manage VM templates
Object storage service
Service for URL-accessible files, like Amazon S3
OpenStack configurations and evolution
—
Connect with BMC TrueSight Capacity Optimization 10.0
OpenStack Foundation
Platinum, Gold
Plus over 100 corporate sponsors and supporters
Key OpenStack service APIs
Purpose
OpenStack component service API
Identity (Authentication, Authorization)
Keystone
Compute
Nova
Object storage service
Swift
Image storage service
Glance
Block storage service
Cinder
Network
Neutron (old name: Quantum)
Horizon
Swift
Neutron
Nova
Cinder
Keystone
Glance
Example with Nova networking
Public network
Flat network
Cloud controller node
Database
Scheduler
Message queue
Identity
API services
Image
Block storage
Management network
Compute node
Block storage node
Hypervisor
SCSI target
API service
Cinder-volume
Nova network
NFS server
Nova implementations and features - 1
Nova implementations and features - 2
Nova implementations and features - 3
Cinder implementations – 1
Cinder implementations – 2
Cinder implementations – 3
Ephemeral disk vs “block volume”
Block volume
ephemeral disk
guest
Cinder storage host
KVM host
storage
pool type = “network”
directory
/cinder/vols
Partitions
Devices
/root
sda
/data
/home
In releases up to kilo:
KVM host sees an iSCSI disk,
which is presented to guest.
In releases from kilo:
It is possible to import the iSCSI
disk as a “network” type, which is
directly presented to the guest.
Storage
Evolution of OpenStack
Feature
Keystone
Nova
2013
2014
2015
Folsom, Grizzly, Havana
Havana, Icehouse
Juno,Kilo, Liberty
Request verification
UUID tokens
PKI tokens, domains
Integration with auth
LDAP with write access
Read-only LDAP
Hypervisor drivers
Libvirt (KVM), XenServer, HyperV, VMware, PowerVM
PowerVM removed
Quotas
Project (tenant) level
User-level; default
Storage attach
GlusterFS via FUSE
GlusterFS native; iSER
Scheduling
Utilization-aware
scheduler
Glance
Back-ends
Sheepdog, Cinder
GridFS, VMware
datastore
Networking
Floating IP module
Cisco, Nova plugin
Brocade plugin
Routers, Load balancers
HAProxy-based
OpenStack components
Quantum now called Neutron
Attach technology
Fibre Channel
Back-end drivers
EMC, 3Par, GlusterFS, many more
Cinder
Federated auth
Configurations and evolution
Summary
Conclusions
Multiple components built and released by distributed teams
Open source software (OSS) projects
•
GNU/Linux
•
Libvirt
•
KVM
•
Nova, Cinder, Swift, Glance, Keystone, …
Plug-ins and drivers contributed by large constellation of vendors
Bundled “distributions” of OpenStack created by multiple groups
and companies
•
Always contain Nova
•
Almost always based on KVM hypervisor
Supporting additional OSS components are becoming popular
•
Ceph (distributed storage)
“Do you support OpenStack?”
• Not a simple question
• Look at exact combination deployed
•
•
•
•
Understand additional supporting
components
•
•
•
Hypervisor
Object storage
Ephemeral versus block storage policy
Commercial
OSS
Exact releases deployed
•
•
In test
In production
Collecting data into TrueSight Capacity
Optimization 10.0
—
Connect with BMC TrueSight Capacity Optimization 10.0
Connect with BMC TrueSight Capacity Optimization
Agenda
Managing capacity in an OpenStack Environment
• Introduction to OpenStack
• OpenStack configurations and evolution
• Collecting data into TrueSight Capacity Optimization
• Managing Capacity of OpenStack
Data sources relevant to OpenStack
Openstack Admin UI
Nova API
Openstack controllers
Nova DB
scheduler
Available in 10.0 OOTB
Hypervisors, VMs, relationships and some configuration
Host Aggregates, Availability Zones, Regions, relationships
Tenants, VMs, relationships and some configuration
•
•
•
Nova API
OS access (depending on controller node type)
MQ
•
•
OS performance data
OpenStack components (database, MQ, services) process
and workload performance data
Available in 10.0 OOTB
Ceilometer components
Ceilometer
store
Ceilometer
API
Hypervisor
Clusters/hosts
VM
Guest OS
Hypervisor
API
Ceilometer (optional component)
•
•
•
Hypervisor performance data where collected and configured
VM performance data where collected and configured
Other (storage) performance data where collected and configured
Hypervisor access (depending on hypervisor type)
•
•
Hypervisor performance data
VM performance data
Available in 10.0 OOTB:
•
•
Via GW + Agents – most platforms
Via RHEV-M – for RHEV-M KVM
OS access (depending on hypervisor type)
•
OS, application performance data
Available in 10.0 OOTB
OOTB Connector for OpenStack (Nova)
OpenStack
–
Open-source Cloud OS - also packaged by ISVs (e.g., RedHat)
– Support for multiple hypervisor technologies, including RedHat Enterprise Virtualization
(RHEV), Linux KVM and VMware vSphere
– Pooling constructs (e.g. Host Aggregates, Availability Zones)
– Tenants (aka “Projects”)
– Admin dashboard for Cloud Admin
– Self-provisioning web interface for End Users
New OpenStack API Extractor ETL
–
–
Supports OpenStack versions Grizzly, Havana and Ice House
Leverages OpenStack Nova APIs to import infrastructure entities and tenants into TSCO:
• Basic configuration metrics (e.g., number of vCPUs requested) - more conf and performance
metrics need to be collected from other ETLs, depending on which hypervisor is being adopted
• Cloud topology relationships, that is:
– Infrastructure hierarchy (host aggregate – host – VM)
– Tenant hierarchy (tenant – VM)
TrueSight Capacity Optimization 10.0
Data flows for managing OpenStack cloud capacity – KVM example
Openstack controller nodes (Linux)
Cloud Admin
Nova DB
Message queue
scheduler
Image service
Object store
Network controller
Compute node (KVM)
TSCO Console
Openstack Admin UI
Capacity Planner
BMC TrueSight
Capacity Optimization
Nova API
Keystone
Block storage
service
Import resource and tenant hierarchies
TSCO OpenStack ETL
TSCO
CDB
Agent
Volume controller
import system and
workload data
Compute controller
TSCO Gateway Server
VM
TSCO vis parser ETL
Agent
Agent
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OpenStack hierarchy in TSCO
Hierarchy representing OpenStack relationships: mapping from Host Aggregates to
Hosts and from Host to VMs
Data aggregated at Cloud level from underlying Host Aggregate level
Data aggregated at Host Aggregate level from underlying Hosts data
Hierarchy representing Tenants (Projects) and their relationship to VMs from
OpenStack environment
Tenant (Project) and VMs in use
Cloud hierarchy
Host Aggregate hierarchy
Tenant hierarchy
OpenStack entities in workspace
Collected from OpenStack
Configuring OpenStack connector
Setup connection parameters
• Identity service URL: value of OS_AUTH_URL parameter
from stack.sh on Keystone server (identity service used by
OpenStack for authentication)
• Username and password (for an authenticated user with
"admin" role): value of OS_USERNAME parameter (typically
"admin“) from stack.sh on Keystone server
• Tenant name: value of OS_TENANT_NAME parameter
(typically "admin" tenant) from stack.sh on Keystone server
Sharing entity catalog with
performance ETLs
Share Entity Catalog with other ETLs collecting performance/capacity data
Capacity Agents and Gateway Server
Console
ETL Engine Server
VIS file integration
Gateway Server
Other data sources
Agent data collection
Database Server
Application Server
Extracting agent data – platform selection
Easier configuration of the
collected metrics –
including Virtual Nodes
Automatically configuring vis parsers
“Auto-create” option for Gateway Server configuration
Viewing Gateway Servers and connectors
Red Hat Enterprise Virtualization Manager (RHEV-M)
Datacenter D1
Virtual clusters contain physical hosts
–
Running VMs
Storage clusters contain storage hosts
–
–
Implementing “storage domains”
Storage domains are used by Virtual clusters for storage
Virtual Cluster VC1
VH1
VH2
VM1
VM3
VM2
VM4
uses
Datacenters contain clusters
–
–
Both Virtual Clusters and Storage Clusters
Organize clusters into larger units for management
Storage Cluster SC1
SH1
SH2
Storage Domain D1
RHEV – Extractor Service
Datacenter
Virtual Cluster
Virtual host
Virtual machines
Domain Tree imported by
RHEV – Extractor Service
Storage domain
Storage cluster
Storage host
KVM Views with RHEV – Extractor Service
RHEV data gets populated into existing KVM Views
–
There are metrics that RHEV connector does not support the Network, File System and Disk
metrics from the Host and Partition detail pages (displayed as “No data available”)
Comparison of Metrics
Capacity Agent vs. RHEV – Extractor Service
Virtual host KVM
BCO Metric
RESNAME
ALIAS_NAME
BYAPP_ACTIVE_PROC
BYAPP_CPU_UTIL
BYAPP_CPU_UTIL_SYSTEM
BYAPP_CPU_UTIL_USER
BYAPP_DISK_READ_RATE
BYAPP_DISK_WRITE_RATE
BYAPP_PAGE_FAULT_RATE
BYAPP_THREADS
BYBENCHMARK_COMP
BYBENCHMARK_DATE
BYBENCHMARK_SOURCE
BYBENCHMARK_VALUE
BYCPU_CPU_UTIL
BYCPU_CPU_UTIL_IDLE
BYCPU_CPU_UTIL_SYSTEM
BYCPU_CPU_UTIL_USER
BYCPU_CPU_UTIL_WAIO
BYDISK_BLOCK_SIZE
BYDISK_MODEL
BYDISK_NONPAGING_IO_RATE
BYDISK_PAGING_IO_RATE
BYDISK_PAGING_TYPE
BYDISK_PHYS_DEV
BYDISK_PHYS_IO_RATE
BYDISK_PHYS_IO_READ_RATE
BPA RHEV
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Virtual host KVM
BCO Metric
BYDISK_PHYS_IO_WRITE_RATE
BYDISK_QUEUE_SIZE
BYDISK_SERVICE_TIME
BYDISK_SIZE
BYDISK_TRANSFER_RATE
BYDISK_TYPE
BYDISK_UTIL
BYFS_FREE
BYFS_FREE_INODES
BYFS_SIZE
BYFS_TOTAL_INODES
BYFS_USED_INODES_PCT
BYFS_USED_SPACE_PCT
BYIF_BANDWIDTH
BYIF_COLLISION_RATE
BYIF_DUPLEX_STATUS
BYIF_ERROR_RATE
BYIF_IN_BYTE_RATE
BYIF_IN_PKT_RATE
BYIF_OUT_BYTE_RATE
BYIF_OUT_PKT_RATE
BYUSR_ACTIVE_PROC
BYUSR_CPU_UTIL
BYUSR_CPU_UTIL_SYSTEM
BYUSR_CPU_UTIL_USER
BYUSR_DISK_READ_RATE
BYUSR_DISK_WRITE_RATE
BPA RHEV
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Virtual host KVM
BCO Metric
BYUSR_PAGE_FAULT_RATE
CPU_CORES_PER_SOCKET
CPU_DESCRIPTION
CPU_MAX_PROCESSORS
CPU_MHZ
CPU_MODEL
CPU_MT_TYPE
CPU_NUM
CPU_RUN_QUEUE
CPU_THREADS_PER_CORE
CPU_TOTAL_MHZ
CPU_UTIL
CPU_UTIL_IDLE
CPU_UTILMHZ
CPU_UTILSPEC
CPU_UTIL_SYSTEM
CPU_UTIL_USER
CPU_UTIL_WAIO
CPU_VENDOR
DESCRIPTION
DISK_IO_RATE
DISK_NUM
DISK_READ_RATE
DISK_SIZE
DISK_TRANSFER_RATE
DISK_WRITE_RATE
GM_NUM
BPA
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
RHEV
x
x
x
x
x
x
x
x
x
x
x
Comparison of Metrics – 2
Capacity Agent vs. RHEV – Extractor Service
Virtual host KVM
BCO Metric
GM_ON_NUM
HOST_ID
HW_DESCRIPTION
HW_MODEL
HW_VENDOR
LCPU_NUM
MEM_BUFFERED
MEM_CACHED
MEM_COMMITED_AS
MEM_FREE
MEM_PAGE_IN_RATE
MEM_PAGE_OUT_RATE
MEM_PAGE_SIZE
MEM_REAL_CONSUMED
MEM_REAL_UTIL
MEM_SYSTEM
MEM_USED
MEM_USER
MEM_UTIL
MEM_UTIL_CACHED
MEM_UTIL_SYSTEM
MEM_UTIL_USER
NET_BIT_RATE
NETIF_NUM
NET_IP_ADDRESS
NETWORK_DOMAIN
OS_TYPE
BPA RHEV
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Virtual host KVM
BCO Metric
OS_VER
TOTAL_FS_SIZE
TOTAL_FS_USED
TOTAL_FS_UTIL
TOTAL_LDISK_SIZE
TOTAL_LDISK_USED
TOTAL_REAL_MEM
UPTIME_PCT
W_CPU_UTIL
W_DESCRIPTION
W_MEM_PRIVATE_ACTIVE
W_MEM_PRIVATE_INACTIVE
W_MEM_SHARED_ACTIVE
W_MEM_SHARED_INACTIVE
W_RESPONSE_TIME
W_TRANSACTION_RATE
SWAP_SPACE_FREE
SWAP_SPACE_TOT
SWAP_SPACE_USED
SWAP_SPACE_UTIL
TOTAL_REAL_MEM
BPA RHEV
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Virtual guest KVM
BCO Metric
RESNAME
CPU_CORES_PER_SOCKET
CPU_LIMIT_MHZ
CPU_NUM
CPU_RESERVED_MHZ
CPU_SHARES
CPU_UTIL
CPU_UTIL_OVERHEAD
CPU_UTILMHZ
DISK_TRANSFER_RATE
HOST_ID
HOST_NAME
LDISK_NUM
MEM_ALLOCATION
MEM_CONSUMED
MEM_FREE
MEM_RESERVED
MEM_UTIL
NET_BIT_RATE
NET_IN_BYTE_RATE
NET_IN_ERROR_RATE
NET_OUT_BYTE_RATE
NET_OUT_ERROR_RATE
NET_MAC_ADDRESS
OS_TYPE
TOTAL_LDISK_SIZE
TOTAL_REAL_MEM
BPA RHEV
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Managing OpenStack Capacity
—
Connect with BMC TrueSight Capacity Optimization 10.0
Capacity use cases for clouds
Category
Use cases
Typical role of TrueSight CO
Capacity visibility
Views and reports showing aggregated CPU,
memory, disk, network, used and spare capacity
Analyses, Views
Capacity analysis
Manual analysis; Early warning of capacity risks;
detection of opportunities for savings
Workspace; Capacity Pool Views:
recommendations and alerts
Cloud metering
Show-back usage reporting for tenants.
Chargeback.
Capacity planning
Sizing of servers and services; hardware sizing
P2V, V2V studies
Integrated demand
and capacity mgmt
Reserve capacity for projects in advance; plan
hardware deployments
Reservations.
Placement during
cloud provisioning
Placement advice during instance creation
Capacity-aware placement advice
(CAPA)
Rebalancing or
“defrag”
Batch-mode optimization of a large environment
by moving workloads to “rebalance” clusters.
Recommendations for source cluster;
V2V study to find destination cluster.
Types of OpenStack nodes
•
Compute nodes: appear as KVM hosts; relationships extracted via Nova API.
•
•
Instances: appear as KVM guests; relationships extracted via Nova API.
•
•
•
Payload
resources
Grouped into Availability Zones and Regions.
Belong to individual Tenants.
Cloud storage nodes: could appear as:
•
•
•
Grouped into Host Aggregates, Availability Zones, and Regions.
KVM guests. (Option 1) OR
Standalone Linux machines (Option 2)
Cloud controller nodes: could appear as:
•
•
KVM guests. (Option 1) OR
Standalone Linux machines (Option 2)
Control resources
Capacity visibility for payload resources
Compute (Nova)
• CPU, memory, ephemeral disk space on compute nodes
•
•
Size, used, available
Aggregated by:
•
•
•
Host aggregates – groups of hosts
Availability zones – user-visible groups of hosts
Regions – administrator-defined geographic partitions
Storage (Cinder)
• Storage volumes – size, used, available
•
Depends on storage host types (cinder backends)
• RHEV storage nodes running Gluster
• Ceph storage clusters
• iSCSI on LVM
Capacity analysis: Analyses, Models
Time – Line Analysis:
CPU and Memory Utilization % over last 2 months
at Host Aggregate level
Time Forecasting Model:
for Memory Utilization % over the next 2 months
at Cloud level
Capacity analysis: By-exception reporting
Capacity visibility for control resources
Controller node
• Generic name for any host
that runs OpenStack
services
• Great flexibility in
deployment on machines
•
Could run some services
on compute nodes, too
Machine type
• Any Linux machine
• Could be a VM
Typical modes for resource usage
Instance provisioning
•
Authentication steps not shown
Compute server
Nova API
provision
Instance create
update
Scheduler
update
Nova DB
Glance service
GET image
Swift service
GET object
Control resources
visible as process
usage on controller
nodes
Find active intervals in Gateway Server Console
Process statistics for top-10 processes
UNIX process aggregation report
By-user summary for workloads
Workload analysis in Workspace
Capacity in OpenStack environments
Summary
All standard TrueSight Capacity
Optimization use cases for clouds
• Data collection OOTB in most
cases
• Payload resources can be
managed using OOTB views,
chargeback, reservations, etc.
• Control resources often require
some manual interpretation
•
Controller nodes can be
configured in many ways
Conclusions
“Do you support OpenStack?”
• Many possible deployment
options
• Rapidly evolving
Understand key drivers
• Payload capacity
• Controller capacity
BMC TrueSight Capacity Optimization 10.0
—
Reference Material
TrueSight Capacity Optimization 10.0
New Welcome Page and How-to videos
How to videos
More to come …
TrueSight Capacity Optimization v10.0
BMC Communities
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mmunity/bmcdn/service_assuranc
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TrueSight Capacity Optimization 10.0
Documentation
https://docs.bmc.com/docs/display
/btco100/Home
One single tree with updated and new sections
More to come…
TrueSight Capacity Optimization 10.0
Collaterals
http://www.bmc.com/itsolutions/capacity-optimization.html
 new 10.0 datasheet
 new TrueSight solution brief
 new videos (10.0 demo about reservations
and Engage session from Product Mgmt)
 new research papers (Forrester)
 (more to come)
TrueSight Capacity Optimization 10.0
AMIGO program now available
https://communities.bmc.com/docs/DOC-33065
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