What is cloud management?
Cloud management is the process of maintaining oversight and administrative control of cloud computing products and services, whether deployed in public, private, or hybrid cloud environments. The practice of cloud management combines different software products and technologies together to provide a cohesive management strategy and process.
Key takeaways
- The practice of cloud management combines different software products and technologies together to provide a cohesive management strategy and process.
- As IT organizations increasingly buy into the infrastructure-as-a-service (IaaS) business model and deploy more applications into the cloud, there is an increased need for structured cloud management processes.
- Cloud management enable organizations to monitor their cloud-based applications for compliance and security, facilitate workflow automation, and drive timely decision-making and cost savings.
- A cloud management platform is a software solution characterized by robust and extensive APIs to pull data from every corner of the IT infrastructure.
Why cloud management?
IT organizations are increasingly choosing to reduce their up-front investments in IT infrastructure by deploying their applications into cloud environments. These environments offer on-demand availability of data storage and computing power that organizations need to handle high volumes of data and fluctuating or growing demand for application access and services. Today, there are three common deployment models for cloud computing services:
Private cloud infrastructure is operated solely for a single organization. It can be managed internally or by a third party. Private cloud systems can provide flexible storage capacity and computing power for different areas of business, but they lack the element of hands-off management that makes cloud computing an attractive economic model for leveraging IT infrastructure.
Public cloud services are delivered over a network open for public use. In this model, the IT infrastructure is owned by a private company (Amazon Web Services, Google, Microsoft or Oracle are popular providers), and the public can purchase or lease data storage or computing capacity as needed.
Hybrid cloud environments are comprised of a combination of public and private cloud services from different providers. Organizations may want to keep some data on private cloud servers for privacy and security reasons while leveraging public cloud applications at a lower price point for less sensitive information. When these public and private environments are interconnected, the result is a hybrid cloud environment.
As IT organizations increasingly buy into the infrastructure-as-a-service (IaaS) business model and deploy more applications into the cloud, there is an increased need for structured cloud management processes that enable organizations to monitor their cloud-based applications for compliance and security, facilitate workflow automation and drive timely decision-making and cost savings.
What is a cloud management platform?
To achieve the visibility and control required to manage effectively, IT organizations need to be able to leverage APIs that pull data from every application in the organization's hybrid cloud or multi-cloud environment –– they need a cloud management platform (CMP).
A CMP allows an IT organization to establish a structured approach to security and IT governance that can be implemented across its entire cloud environment. Cloud management software platforms allow enterprise IT organizations to optimize and secure their cloud applications, manage compliance and configure real-time monitoring and alerts to prevent data breaches and cyber-attacks.
There are several reasons why more enterprise organizations are adopting the cloud computing model and subscribing to infrastructure-as-a-service (IaaS). The first and most important reason is cost reduction. It is much cheaper to lease data storage capacity and computing from a third party on an as-needed basis than to develop the same capabilities in-house.
The proliferation of cloud technologies in the business environment has changed how CIOs and IT managers must approach IT costs, compliance, security and asset management. Cloud management platform software solutions make it easier for enterprise CIOs to maintain control of an increasingly disparate ecosystem of cloud computing technologies.
Cloud management software features
Cloud management platforms can perform various functions, including asset inventory management, self-healing and workflow automation, security and compliance activities, monitoring and metering, access control, provisioning and orchestration, cost optimization and more. Here are just three areas where cloud management software is making an impact in IT organizations today.
Cloud management and big data analytics
Cloud management platforms are purpose-built to extract massive volumes of data from your application stack through automatically generated computer logs. Log files contain information about every event in your cloud environment, and analysis of those files can yield information about errors, security vulnerabilities, compliance and more. Applications like Sumo Logic leverage machine learning and big data analysis to get your IT organization the insights it needs to optimize each application.
Cloud management and compliance
Organizations without cloud management platforms can spend hundreds of hours each month collecting, normalizing and analyzing data to understand the performance and compliance status of cloud-based infrastructure and applications. With a cloud management platform, your IT organization can aggregate log and performance data from multiple cloud service providers into a single platform, monitor in real-time, and even generate customized reports.
Sumo Logic cloud management and security services
Cloud management platforms can play an important role in managing the security status and vulnerability of your IT assets in a cloud-dominated IT environment. Leading CMP platforms, like Sumo Logic, combine the information management and event monitoring features of a traditional SIEM with analytics-driven machine learning to offer a robust threat detection system and accelerated forensic investigations.
Complete visibility for DevSecOps
Reduce downtime and move from reactive to proactive monitoring.