It’s safe to say that cloud computing is just a trend. Yes, there is no doubt: companies today turn to the cloud or seriously investigate it.
The cloud, combined with other technological trends such as virtualization, helps create large, highly automated arrays of computing resources that can grow and shrink with traffic, quickly redistribute for new purposes, and even bypass many types of downtime, making it easier to self-service. users are available. Cloud environments have much less in terms of: fewer hardware using multiple virtual machines on each host, fewer support resources, and fewer bugs because users are directly connected to cloud services.
But in terms of management, cloud environments create a lot of new problems compared to traditional data center. There’s more to the cloud: more users, more changes, and most importantly, more data.
And for many businesses, cloud management is a secondary task, which means that cloud applications are used to performance levels, which is a hard-to-reach business.
Thus, by using tools that combine detailed analysis of massive configuration data with meaningful classification, IT operations can extract useful information, analytics, and transparency for smart cloud management.
The problem of working in the cloud
While the cloud has eliminated many environmental management problems, especially in terms of implementation, it has also created new ones. For example, when it comes to monitoring changes and managing configurations, many assume that monitoring applications in the cloud is only slightly different from monitoring traditional internal enterprise applications.
New cloud conditions
Which of the new features complicate management:
Instead of having servers, software, applications and storage for specific tasks, it’s all abstract for users and even for an IT manager.
One of the most powerful features of the cloud is to automatically scale and reduce IT resources.
The cloud automatically adds and removes the machines available in the system, dynamically reconfiguring the cloud.
Create dynamic servers
Additional virtual servers needed to support operations can be created and prepared automatically
IP may be different
Each of the several dynamically appointed and deactivated servers can support the same service and will receive a new IP address after separation.
Lots of small changes
Rapid changes and impermanence can quickly lead to processing overload
Successful management of any business system requires checks and balances, and the volume of automation of changes in the cloud makes it difficult to constantly analyze and compare expected results.
A new generation of tools
Next-generation IT management tools should be able to aggregate dynamic information from multiple cloud providers and translate that data into valid statistics. These tools need to be easily integrated into dynamic resource management and automatic deployment so that they can recognize and maintain traditional software stacks and basic virtual and cloud infrastructure.
The new generation of tools must take into account and overcome the dynamic nature of the cloud by:
Identifying new authorities
When a new instance of the server is split, you want to start monitoring and managing that instance as soon as it becomes active.
Help with disassembly and disassembly
Recognize scaling and decommissioning instances as scheduled events, not system failures
Connect to instances
Automatically adjust the monitoring area according to the changing content of the instance
Body type identification
Link their observations to the type of cases. Because the amount of information generated by tools can be a significant ability to aggregate data according to instance type, this can be critical to ensuring monitoring is manageable.
Not preparing for IT
The dynamic nature of cloud platforms generates large volumes of events and high-frequency data. Although everything seems to work and there are no problems, in fact, it leaves IT operations unprepared for delays or incidents. Despite the automatic state of the cloud, IT departments still need to be able to act proactively and respond quickly to service disruptions.
For example, when self-scale, the hardest part is to maintain all configuration and lifecycle management while successfully launching new servers into production. When a large number of events occur, the editing console receives information to monitor many events and does not distinguish the cause of these events. So you need to know the context of these events. Do you have a large workload and servers are automatically initialized, or is there an error that creates new instances and reduces performance?
Managing business tools in the cloud is different
Cloud management tools play a vital role in providing high-quality IT services. So you don’t want these tools to become a new system-type administrative problem that prevents the cloud from achieving the desired efficiency. You don’t want to waste the benefits of moving to the cloud to deploy and manage cloud management tools. These tools should hide the complexity of cloud control and management and provide a simple installation, minimal administrative costs, maximum stability, and an easy way to deliver information to users.