I confess that I like simplicity, especially when it comes to computing infrastructure. For start-ups and small businesses, it’s easier to run a business by combining applications hosted in one public cloud with software as a service (SaaS) with data. Many organizations run in private clouds, legacy data center infrastructures, and hybrid clouds with applications and data split between selected public clouds.
However, many medium and large enterprises choose to run in multiple public clouds or fall into such a situation to support innovation, regulation, service levels, price negotiations, or acquisitions. .. There are choices and trade-offs in cloud strategy. When working with IT, it’s important to understand architectural options and better understand your organization’s IT cloud governance model.
I wrote recently Checklist for multi-cloud Includes tips on strategy, cloud readiness, and DevOps practice. Next, we’ll follow up on some of the technologies that enable hybrid and multi-cloud architectures.
Hyper-converged infrastructure simplifies private cloud scaling
Data centers were filled with network equipment, servers, and storage from various manufacturers and management tools. Specialists were needed to support this infrastructure, and scaling up and down computing capabilities has never been easier.
Many companies are deploying today Hyper-converged infrastructure It’s a building block appliance that combines network, compute, and storage. In addition, management tools allow administrators to virtualize compute clusters and allocate resources based on the computing needs of their applications.
Tiwan Nicholson, Director of IT Services Operations at UNOS, Nutanix Let’s talk about the benefits. “Compared to previous infrastructure, which took days to do some of the big data and detailed analytics work, we’ve improved our tedious workloads by 30%. Now, generalist infrastructure engineers are dedicated. You can manage your hardware and virtualization layers without the specialized skills you need for big data databases, blade servers, and all the different layers of your stack that you previously had to manage. “
In addition to Nutanix, Cisco, Dell, HPE, VMware, etc. Hyper-converged infrastructure products..
Multi-cloud management tools enable self-service and managed provisioning
One of the main benefits of public and private clouds is the self-service provisioning capabilities for developers, data scientists, and business analysts. Instead of waiting weeks for infrastructure, IT implements computing options, automation, governance, and chargeback pricing, and cloud management tools provide portals and reports.
Organizations that optimize self-service provisioning in one cloud can use vendor self-service tools, while organizations that want multi-cloud capabilities can work in AWS, Azure, Google Cloud Platform, VMware, and other clouds. You need a management platform to do. For example BMC, IBM, Micro Focus, etc. Providing a multi-cloud management platform Key value This includes self-service tools, security controls, DevOps tool integration, templates, and automation.
Improve Restoring Force with Cloud Data Management
Multi-cloud security There are some challenges, best practice You need to design multi-cloud identity and access management (IAM), network architecture, and cryptographic standards. While these security considerations are important for single and hybrid clouds, they can be difficult to implement in a multi-cloud architecture.
One of the important security considerations for all organizations is cloud data protection. Ransomware is a big problem,When Attacks affecting schools, hospitals and other critical institutions..
Protecting data on all clouds is of paramount concern to security and IT leaders, and cloud data management platforms encrypt and replicate data while monitoring storage systems for ransomware-like attacks. Provides a solution for archiving, archiving, and restoring.
Amir Kioumars, Data Systems Supervisor at Novato Unified School District, Lubrik Protect mission-critical data. Kioumars shares his thoughts“I was attacked twice by ransomware in the area where I used to work and went down for 10 days. I was worried that the same thing would happen at any time in Novat.”
Other cloud data management platforms Includes Veeam, Dell, Cohesity Commvault and more.
Avoiding cloud silos with low-code integration
Organizations working on multi-cloud management and security have the opportunity to accelerate strategic initiatives such as developing microservices, enhancing customer applications, scaling machine learning initiatives, and reengineering enterprise workflows. The challenge is to avoid silos where applications on one cloud cannot easily integrate with microservices on the second cloud, machine learning models on the third cloud, or other SaaS platforms.
Organizations targeting multi-cloud strategies are integrated and Integrated platform as a service (IpaaS) Allows you to connect data, microservices, and APIs between cloud, SaaS, and enterprise systems. Low code integration platform Simplifies connecting to common sources, automating conversions, cleansing data, and providing API management capabilities.
Tara Gambill, Senior Director of Enterprise Systems at MODPizza, Boomi Connect SaaS, data, and applications. Gambir says“It was important for our 100% SaaS business to have a cloud-native integrated platform. It’s not just the ability to enable fast and seamless employee onboarding, and also for data. It also improves accuracy and reliability, which allows staff to spend more time on more influential tasks. “
Other IPaaS platforms include: Informatica, Workato, and SAP compete for ease of development, out-of-the-box integration, data management, and operational capabilities.
Automate and monitor multi-clouds with AIops
IT departments that manage multi-clouds need automation, monitoring, and incident management tools that process large amounts of real-time datasets and provide a variety of automation capabilities. Applying Machine Learning and Automation in AIops, or IT OperationsIs a new feature needed to support multi-cloud.
The AIops platform has a variety of capabilities, but most often start with alert aggregation, data monitoring, observable data, and system configuration, and correlate information to support incident management. Higher platforms also include automation tools. Discovery and dependency mapping capabilities,and Analysis for site reliability engineers to manage service level goals..
Scott Johnson from Equifax BigPanda We share the reality of operating in multiple clouds. Johnson admits, “Running the always-on cloud-native paradigm and running on-premises is a very difficult environment. Troubleshooting, correlation of events. Changes to what you did on-premises are in the cloud. Did you blow up something? It’s hard to manage in that hybrid state. “
Other AIops platforms Includes Moogsoft, OpsRamp, and Resolve Systems to compete for multi-cloud and AI-driven automation, monitoring, alerting, dependency mapping, and other features.
Is the future of the cloud multi-cloud?
Will more organizations adopt a multi-cloud strategy, or will the cost and complexity of operating multiple clouds efficiently, securely, and reliably outweigh the benefits? Will public cloud providers outperform innovation, or will competing technology platforms provide a single glass platform that enables IT to efficiently manage multi-clouds?
These questions are worth pondering, but a better question is how your organization is investing in the configuration, management, protection, integration, and monitoring of public or private clouds. How much does the selected platform enable the multi-cloud hosting option?
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