He is also the co-author of Mastering vRealize Operations Manager .. found at smeltitherabpigs.tk Manage vRealize operations manager effectively using this comprehensive guide. Managing Custom Object Groups in VMware vRealize Operations Manager 79 You can export the report in a PDF or CSV file format for further reference. NOTE You cannot remove the vRealize Operations Manager master node.
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If you are an administrator of a virtual environment and have used vROps before but want to gain a professional understanding by implementing complex tasks. Mastering vRealize Operations Manager. PDF Free Books Download PDF / Free Books Online / Free eBook Download PDF / Free eBook Download PDF. Editorial Reviews. About the Author. Scott Norris. Scott Norris is currently a senior consultant in Mastering vRealize Operations Manager site Edition.
The user interface In vROps 6. Unlike the vCOps 5.
Remote collectors will be discussed in more detail in the next section. The Admin UI is purposely designed to be separate from the Product UI and always be available for administration and troubleshooting tasks. A small database caches data from the Product UI that provides the last known state information to the Admin UI in the event that the Product UI and analytics are unavailable. The Admin UI is available on each node at https: GemFire is part of the major underlying architectural change of vROps 6.
Mastering vRealize Operations Manager - Sample Chapter
Collector The collector's role has not differed much from that in vCOps 5. The collector is responsible for processing data from solution adapter instances. As shown in the following figure, the collector uses adapters to collect data from various sources and then contacts the GemFire locator for connection information of one or more controller cache servers.
It is important to note that although an instance of an adapter can only be run on one node at a time, this does not imply that the collected data is being sent to the controller on that node.
This will be discussed in more detail later under the Multi-node deployment and high availability section.
Controller The controller manages the storage and retrieval of the inventory of the objects within the system. The queries are performed by leveraging the GemFire MapReduce function that allows you to perform selective querying. This allows efficient data querying as data queries are only performed on selective nodes rather than all nodes. We will go in detail to know how the controller interacts with the analytics and persistence stack a little later as well as its role in creating new resources, feeding data in, and extracting views.
Analytics Analytics is at the heart of vROps as it is essentially the runtime layer for data analysis. The role of the analytics process is to track the individual states of every metric and then use various forms of correlation to determine whether there are problems. The vCOps 5.
However, these remote DT processors only support dynamic threshold processing and do not include other analytics functions. Although its primary tasks have not changed much from vCOps 5.
Persistence The Persistence layer, as its name implies, is the layer where the data is persisted to a disk. The layer primarily consists of a series of databases that replace the existing vCOps 5. Understanding the persistence layer is an important aspect of vROps 6.
These services include: Common name. Sharding is the term that GemFire uses to describe the process of distributing data across multiple systems to ensure that computational, storage, and network loads are evenly distributed across the cluster.
Norris S., Slater C. Mastering vRealize Operations Manager
We will discuss persistence in more detail, including the concept of sharding, a little later under the Multi-node deployment and high availability section in this chapter. The majority of this data is user configuration data that includes:.
As Global xDB is used for data that cannot be sharded, it is solely located on the master node and master replica if high availability is enabled. More on this topic will be discussed under the Multi-node deployment and high availability section. This information then gets converted into vROps alarms based on active policies.
The FSDB contains all raw time series metrics for the discovered resources.
Mastering vRealize Operations Manager - Sample Chapter
This ensures that the multiple components that make up the persistence of a given resource are always located on the same node. Before a node can be added to an existing cluster, a role must be selected.
Although deployment will be discussed in detail in the next chapter, from a design perspective, it is important to understand the different roles and which deployment model best fits your own environment.
It contains all vROps 6. These include:. As previously discussed, Global xDB contains all of the data that we are unable to shard across the cluster.
This data is critical to the successful operation of the cluster and is only located on the master node. Although the process of the replica DB's promotion can be done online, the migration of the master role during a failover does require an automated restart of the cluster.
As a result, even though it is an automated process, the failure of the master node will result in a temporary outage of the Operations Manager cluster until all nodes have been restarted against the new master. The master also has the responsibility of running both an NTP server and client. On initial configuration of the first vROps node, you are prompted to add an external NTP source for time synchronization.
The master node then keeps time of this source and runs its own NTP server for all data and collector nodes to sync from.
The final component that is unique to the master role is the GemFire locator. The GemFire locator is a process that tells the starting or connecting data nodes where the currently running cluster members are located. This process also provides load balancing of queries that are passed to data nodes that then become data coordinators for that particular query.
The structure of the master node is shown in the following figure: Storage Adapter Other Adapters. The data node The data node is the standard vROps 6. It provides the core functionality of collecting and processing data and data queries as well as extending the vROps cluster by being a member of the GemFire Federation, which in turn provides the horizontal scaling of the platform. The remote collector node The remote collector role is a continuation of the vCOps 5.
Remote collectors do not process data themselves; instead, they simply forward metric data to data nodes for analytics processing. Remote collector nodes do not run several of the core vROps components including:.
As a result of not running these components, remote collectors are not members of the GemFire Federation, and although they do not add resources to the cluster, they themselves require far fewer resources to run, which is ideal in smaller remote office locations. An important point to note is that the adapter instances will fail over other data nodes when the hosting node fails even if HA is not enabled. An exception to this is the remote collectors, as adapter instances registered to remote collectors will not automatically fail over.
Storage Adapter. Multi-node deployment and high availability So far, we have focused on the new architecture and components of vROps 6. Now, before we close this chapter, we will dive down a little deeper into how data is handled in a multi-node deployment and finally, how high availability works in vROps 6.
With this change, it is better to think of the Controller, Analytics, and Persistence layers as components that span nodes rather than individual components on individual nodes. Master Node. During deployment, ensure that all your vROps 6.
This is because from a load balancing point of view, the Operations Manager expects all nodes to have the same amount of resources as part of the controller's round-robin load balancing. The migration to GemFire is probably the single largest underlying architectural change from vCOps 5.
Elasticity and scaling: Nodes can be added on demand, allowing vROps to scale as required. This allows a single Operations Manager instance to scale up to 8 nodes and up to 64, objects. When GemFire's high availability is enabled, a backup copy of all the data is stored in both the analytics GemFire cache and the persistence layer.
Even if GemFire's high availability mode is disabled, in the event of a failure, other nodes take over the failed services and the load of the failed node assuming that the failure was not in the master node.
Data partitioning: Operations Manager leverages GemFire Data partitioning to distribute data across nodes in units called buckets. A partition region will contain multiple buckets that are configured during a startup or that are migrated during a rebalance operation. Data partitioning allows the use of the GemFire MapReduce function. This function is a "data aware query," which supports parallel data querying on a subset of the nodes.
The result of this is then returned to the coordinator node for final processing. GemFire sharding When we described the Persistence layer earlier, we listed the new components related to persistence in vROps 6. Now, it's time to discuss what sharding actually is.
GemFire sharding is the process of splitting data across multiple GemFire nodes for placement in various partitioned buckets. It is this concept in conjunction with the controller and locator service that balances the incoming resources and metrics across multiple nodes in the Operations Manager cluster.
It is important to note that data is sharded per resource and not per adapter instance. For example, this allows the load balancing of incoming and outgoing data even if only one adapter instance is configured. From a design perspective, a single Operations Manager cluster could then manage a maximum configuration vCenter with up to 10, VMs by distributing the incoming metrics across multiple data nodes. The Operations Manager data is sharded in both the analytics and persistence layers, which is referred to as GemFire cache sharding and GemFire persistence sharding, respectively.
Just because the data is held in the GemFire cache on one node does not necessarily result in the data shard persisting on the same node. Adding, removing, and balancing nodes One of the biggest advantages of the GemFire-based cluster is the elasticity of adding nodes to the cluster as the number of resources and metrics grow in your environment.
This allows administrators to add or remove nodes if the size of their environment changes unexpectedly, for example, a merger with another IT department or catering for seasonal workloads that only exist for a small period of the year. Although adding nodes to an existing cluster is something that can be done at any time, there is a slight cost incurred when doing so.
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Paperback pages. Book Description In the modern IT world, the criticality of managing the health, efficiency, and compliance of virtualized environments is more important than ever. Table of Contents Chapter 1: Going Ahead with vRealize Operations. Chapter 2: Chapter 3: Initial Setup and Configuration.
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We also walkthrough the important initial vApp deployment steps and other important deployment considerations, such as designing vROps for scaling and how to add additional nodes. We will discover the differences between badges in Operations Manager 5. We dive into the details of how badges are calculated and tune them to best suit our environment.
This chapter provides a useful reference for all the major changes and provides a walkthrough for all the relevant components. Chapter 5, Policies in vRealize Operations Manager 6. We show what improvements have been made in vROps 6. Chapter 6, Capacity Management Made Easy, dives into the detail around Operations Manager capacity management, including the major improvements made in version 6.
We will also cover the capacity management policies in detail and understand how they need to be tuned for your environment to ensure that the recommendations are of the highest quality. Chapter 7, Dashboard Design, discusses and shows what a custom dashboard is and more importantly, how to create one. This will give you the foundation to create and build custom dashboards that will suit any environment, application, or object being managed.
Chapter 8, Reporting and Views, covers the new vROps 6. You will discover the major improvements that these features bring in to effectively manage your environment, as well as examples on how to create your own views and reports.
Chapter 9, Super Metrics, discusses the well-proven concept of super metrics and assists in defining the difference between metrics, objects, and attributes. After going through the various types of super metrics, we will walk through a step-by-step guide on how to create your own super metrics. Chapter 10, Administering vROps 6.After deploying all your vROps nodes and enabling HA, ensure that a DRS affinity rule is created to keep all nodes on separate vSphere hosts under normal operation. This process also provides load balancing of queries that are passed to data nodes that then become data coordinators for that particular query.
The second reason for writing this book was because we noticed that in some environments that had the product deployed, many of the concepts, terminology, and settings were not understood well enough. Sorry required within 3 to 5 gunsmith purposes. It is important to note that data is sharded per resource and not per adapter instance. These services include: