This article will be from IBM http://www.aliyun.com/zixun/aggregation/13696.html ">smartcloud monitoring creator Insight Product Overview and framework, Prerequisites, Smai product installation and SSL configuration, product login, Demo examples and several other aspects of IBM SmartCloud Monitoring creator Insight this product.
With the IT industry reform, cloud services are increasingly favored by all walks of life. Companies are moving rapidly to cloud computing applications to speed time-to-market, improve availability, and reduce costs. IBM has also been working on the research and development of cloud computing Services (Smart Cloud) in recent years, but the traditional cloud services monitoring products only serve cloud providers and are in the margins of the customer-level cloud consumer market.
IBM's newest product, IBM SmartCloud monitoring creator Insight, breaks this rut and opens the market for personal and corporate cloud consumer demand. As a cloud consumer, you can use the IBM smartcloud monitoring creator Insight to monitor your cloud virtual machine applications, ensure that they have the best performance, and ensure efficient use of resources. Creator Insight can be expanded or scaled down depending on the performance increase or contraction, and can provide monitoring for most workload deployments. Monitoring technology can be automatically embedded in the basic image of the virtual machine, and when new workloads are based on these mirrored deployments, Smai monitoring can be automatically started.
IBM SmartCloud Monitoring Creator Insight Overview
Based on the above background, this article will focus on the IBM SmartCloud monitoring creator Insight Overview and framework, prerequisites, Smai product installation and SSL configuration, product login, Demo example, and several other parts, Describes its product features and how to integrate configurations. The Smai product contains two parts--smai consumer and Smai fabric.
Figure 1.IBM SmartCloud monitoring creator Insight Product overview
Figure 1 is an overview of the Smai product, which mainly describes the relationship between Consumer and Fabric in the Smai product. As you can see from the diagram, Consumer can be a variety of agents that show the state of your environment, and Fabric can detect the current state of Consumer by Gaian Db or VTI, thus revealing the information you need.
Figure 2.SMAI Consumer user status in the product
Figure 2 mainly illustrates the relationship between Consumer users and other users in the Smai product. Consumer users can interact with the cloud services platform and other cloud detection tools by creating mirrors, detecting workloads, and requesting services, and are exposed to more information than needed.
By using Smai products, it allows users to see the required near-real-time data within a short period of time after initial deployment, and the user does not need additional operations when monitoring, and smai can be well integrated with the cloud service provider's platform, Smai supports multiple users at the same time, And each user can only see their own data, security is guaranteed.
Smai can be used to monitor multiple objects, including users, intermediaries such as was or DB2, operating systems such as Linux or Windows, Hypervisor, private clouds, and so on, and will also support users to monitor more objects in subsequent releases.
Figure 3. Smai Product Interface Diagram
Figure 3 is a diagram of the interface of the Smai product, through which the user can see the following:
Cloud Virtual Machine usage: Memory usage, CLIU usage, etc. main event information: including success, failure, alarm, reminders, etc middleware products such as was or DB2: How much storage, what services are running, etc. reaction time; proxy Data Warehouse usage ; other relevant Agent situations;
Smai Product and ITM series products closely combined. By monitoring the ITM agent for IS, the ITM agent for DB2, the ITM OS agent for Linux, the ITM OS agent for Windows, and so on, users can see the environmental information represented by these agents in the interface of the Smai product, Usage, current status, configuration, and so on. In this way, users can get more intuitive impression, more real-time reminders, more accurate analysis, and ultimately maximize the help.
Installation Environment and Prerequisites:
The Smai consumer part needs to be installed in more than 6 of Red Hat Enterprise Linux, while the Smai fabric section needs to be installed on 64-bit systems in Red Hat Enterprise Linux 6. Smai consumer and Smai fabric can be installed on the same machine or on different machines.
Before installing the Smai consumer product, make sure that the Ksh is already installed in the environment.
Before you install Smai fabric products, make sure that Ksh and libstdc++.so.6 are installed in the environment.