Organizations managing multiple cloud environments waste an average of 32% of their cloud spend due to inefficient resource allocation and lack of proper management tools, according to Flexera’s 2024 State of the Cloud Report. With enterprises running an average of 2.6 public clouds and 2.7 private clouds simultaneously, selecting the right multi-cloud management platform has become a critical decision that can make or break your cloud strategy.
Recent studies show that more than 89% of businesses use a multi-cloud strategy. This startling figure suggests a significant change in how companies handle their IT infrastructure. Multi-cloud management, which was once considered a specialized approach, has now become an essential component of contemporary IT procedures. But why are so many businesses using this strategy, and what does it signify for IT management going forward?
In this article, we’ll discuss the essentials of multi-cloud management, looking at its advantages, drawbacks, and some solutions that can help companies succeed in this complicated digital environment.
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What is Multi-Cloud Management?
Multi-cloud management refers to the tools, processes, and strategies used to oversee and control applications and workloads deployed across multiple public clouds (like AWS, Azure, GCP) or a combination of public and private clouds. It’s essentially the conductor of a complex orchestra, ensuring all the cloud environments work together in harmony.
The goal of multi-cloud management is to reduce dependence on any single cloud provider and increase flexibility by mitigating risks associated with vendor lock-in and potential downtime. It involves tasks such as migration, integration, and the orchestration of workloads across different cloud environments.
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Difference Between Multi-Cloud and Hybrid Cloud Management
Both multi-cloud management and hybrid cloud management deal with overseeing cloud deployments, but they differ in the scope of the cloud environments involved.
Multi-Cloud Management
Focuses on managing workloads and applications deployed across multiple public cloud platforms from various vendors (e.g., AWS, Azure, GCP).
Aims to achieve consistency, automation, and cost optimization across these public cloud environments.
Key considerations:
- Interoperability: Ensuring different cloud services work together seamlessly.
- Vendor Lock-In Avoidance: Avoiding dependence on a single cloud provider.
Hybrid Cloud Management
Deals with managing a combination of cloud environments, including on-premises data centers, private clouds, and potentially one or more public clouds.
Focuses on integrating and managing workloads across these diverse environments.
Key considerations:
- Standardization: Ensuring consistent management practices across on-premises and cloud deployments.
- Security: Maintaining robust security controls across all environments.
Feature | Multi-Cloud Management | Hybrid Cloud Management |
Cloud Environments | Multiple Public Clouds | Public Cloud + Private Cloud |
Focus | Consistency & Optimization | Integration & Orchestration |
Complexity | High (diverse platforms) | Moderate (fewer environments) |
Vendor Lock-In Risk | Lower (multiple vendors) | Higher (reliance on private cloud) |
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Reasons for Increasing Shift Towards Multi Cloud Strategies
1. Avoidance of Vendor Lock-In
Organizations seek to avoid dependency on a single cloud provider to prevent vendor lock-in. This strategy provides greater flexibility and negotiating power, allowing businesses to switch providers if needed without significant disruptions.
2. Improved Disaster Recovery and Business Continuity
Multiple cloud providers are better for disaster recovery. When one provider is down, other clouds can be used to keep services going so that businesses continue operating.
3. Optimized Performance and Cost
Various cloud providers have different strengths in areas such as performance, pricing, or specialized services. By adopting a multi-cloud strategy, enterprises can optimize their usage of cloud services by selecting the best features from each provider, e.g., using one provider for high-performance computing tasks while another for cost-effective storage solutions.
4. Compliance and Data Sovereignty
Regulations often define where data should be stored and processed. Multi-cloud strategies allow organizations to remain compliant with these rules by choosing particular vendors that adhere to local laws on data sovereignty.
5. Enhanced Innovation and Agility
In multi-cloud environments, teams can leverage different cloud service tools and experiment with them to innovate faster. This enables businesses to respond quickly to changes in market conditions and technological advancement.
6. Scalability and Flexibility
Different workloads have different requirements. A multi-cloud strategy gives the flexibility required when scaling resources up or down for diverse workloads across different providers, ensuring the best performance at the lowest costs depending on workload requirements.
7. Risk Mitigation
The risks of depending on a single cloud provider, such as security flaws or unstable finances, are reduced by diversifying your cloud provider base. This diversity improves overall security by distributing risk.
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Business Challenges: The client is a prominent Spend Management Company that wanted to ensure a smooth migration to their newly developed cloud-native platform, without disrupting the customer experience.
By leveraging Informatica and Kafka technologies, Kanerika has offered the following solutions to address the client’s problems:
What Does a Multi-cloud Management Process Include?
1. Cloud Management Platforms (CMPs)
Centralized View: Your multi-cloud environment’s command center is your CMP. They offer a single dashboard for managing, allocating, monitoring resources from various cloud service providers. By doing away with the requirement to log onto separate provider consoles, this simplifies processes and boosts visibility.
Standardized Workflows: Across a range of cloud platforms, CMPs can automate regular processes like patching, configuration management, and provisioning. By doing this, you can maintain consistency in your cloud deployments while minimizing errors and human labor.
Cost Optimization: CMPs provide information on how resources are used and how much is spent with various cloud providers. With the help of these insights, you may find areas where you can cut costs, allocate resources as efficiently as possible, and select the solutions that will work best for your job.
2. Cloud Governance and Security
Policy Enforcement: Multi-cloud setups necessitate uniform security guidelines and access restrictions on all platforms. CMPs may assist in defining and enforcing these policies, guaranteeing adherence to industry standards and security best practices within your company.
Identity and Access Management (IAM): It might be difficult to manage user permissions and access across multiple cloud providers. By offering centralized management over user identities, roles, and access rights and guaranteeing that only authorized users have access to particular resources, CMPs with integrated IAM capabilities streamline this process.
Security Information and Event Management (SIEM): It’s critical to keep a uniform security posture across all clouds. By integrating SIEM tools, you can monitor security events, logs, and warnings from several cloud providers centrally, improving your ability to recognize and address possible threats.
3. Application Performance Management (APM)
Performance Monitoring: For the best user experience, it’s critical to monitor how well an application performs across various cloud environments. When used with APM tools, CMPs offer real-time insights into application performance indicators including errors, latency, and resource usage. With the help of this all-inclusive view, you can locate bottlenecks and enhance application performance on all clouds.
Workload Management: Using real-time performance data, CMPs can help you scale workloads across multiple cloud providers and orchestrate their deployment. This guarantees the best possible use of available resources and prevents overprovisioning, which lowers costs and improves application performance.
4. Cloud Cost Management
Cost Visibility and Monitoring: It can be difficult to precisely track and optimize cloud expenditures across multiple providers. With the use of comprehensive cost reports and visualizations provided by CMPs, you can identify cost trends, underutilized resources, and possible areas for savings. You will be able to make informed decisions regarding pricing models and resource allocation with this data-driven strategy.
Showback and Chargeback: Cost allocation becomes more complex in multi-cloud scenarios. Showback—which reports resource usage to particular teams or departments—and chargeback—which allocates expenses to particular teams or departments based on usage—can both be facilitated by CMPs. Teams are motivated to maximize their use of cloud resources as a result, which promotes accountability
5. Integration and Automation
Standardized APIs: Working with APIs from different cloud providers is necessary in multi-cloud settings. This process is made simpler by CMPs with standardized API connectors, which give you a uniform interface to manage resources and automate processes across several platforms.
Workflow Automation: For maximum productivity, it is essential to automate repetitive tasks like configuration management, provisioning, and scaling across clouds. With the process automation features that CMPs provide, you can minimize manual errors, increase operational efficiency, and free up IT resources for other important projects.
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Proven Strategies for Effective Multi-Cloud Management
Mastering a multi-cloud environment requires a well-defined strategy that addresses deployment, monitoring, management, and the crucial aspect of interoperability between cloud services. Below are the best practices to ensure a smooth-sailing multi-cloud journey:
1. Deployment Strategies
Planning and Assessment: Carefully plan your multi-cloud deployment before you get started. Determine the advantages of various cloud providers, assess your workload requirements, and establish specific objectives for your multi-cloud approach.
Workload Distribution: Avoid placing everything in the cloud with a “lift-and-shift” mentality. Examine your workloads and divide them up across several cloud providers in a methodical manner according to aspects such as price, service offers, and performance needs.
Standardized Deployment Templates: To guarantee uniformity and reproducibility across various cloud environments, create standardized deployment templates for apps and infrastructure. Tools for Infrastructure as Code (IaC), such as Terraform, can be helpful in this context.
2. Monitoring and Management Strategies
Centralized Management Platform (CMP): Implement a strong Centralized Management Platform (CMP) to give your multi-cloud deployments a unified view and control panel. Provisioning, monitoring, and management activities on all cloud platforms are streamlined as a result.
Standardized Monitoring Metrics: Establish a set of KPIs (key performance indicators) so that your cloud environments are regularly monitored. This enables you to monitor resource use, application performance, and any problems your cloud installations.
Automated Alerts and Notifications: Set up automated notifications and alerts to proactively find and fix problems in your multi-cloud architecture. This reduces downtime and allows you to respond swiftly to possible issues.
Cost Management: Make use of the resources offered by cloud providers or by your CMP to manage costs. These tools help you find opportunities for optimization and provide insights into your cloud spending. To cut expenses, make use of features like savings programs and reserved instances.
3. Interoperability and Integration Strategies
Standardized APIs: Whenever possible, leverage standardized APIs provided by cloud providers for communication and integration between services. This promotes interoperability and simplifies application development in a multi-cloud environment.
API Gateways: Consider API gateways to manage and secure APIs across different cloud platforms. These gateways act as a single point of entry for your APIs, simplifying access control and ensuring consistent API behavior for your applications.
Containerization Technologies: Containerization technologies like Docker and Kubernetes can be powerful tools for ensuring application portability and consistent deployment across different cloud environments. Containers package applications with their dependencies, allowing them to run seamlessly on any platform that supports the container runtime.
Tools with Integration Capabilities: Many multi-cloud management systems come with inbuilt integration tools that let you connect to and manage services from various cloud providers. Seek solutions with strong integration capabilities and support for popular cloud platforms.
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VMware’s CloudHealth is a powerful cloud management platform that enables enterprises to maximize savings, guarantee governance throughout their multi-cloud deployments, and provide unified visibility. It provides attributes such as:
- Cost Management and Optimization: Finds possible cost savings across all of your cloud environments and offers detailed cost insights.
- Automated Cloud Optimization: Makes suggestions for how to cut down on cloud expenses and maximize resource usage.
- Multi-Cloud Visibility: Provides an integrated perspective of your cloud expenses, security stance, and resources from several cloud service providers.
- Security and Compliance Management: Ensures that all of your multi-cloud infrastructure is compliant with security standards and compliance guidelines.
This is a user-friendly, no-code multi-cloud management platform that simplifies provisioning, configuration, and management of resources across various cloud platforms. It offers features like:
- No-Code Automation: Enables drag-and-drop automation of cloud deployments and workflows, eliminating the need for complex scripting.
- Hybrid Cloud Management: Supports management of both public cloud and on-premises infrastructure in a unified manner.
- Self-Service IT: Provides a self-service portal for authorized users to provision and manage their own cloud resources within defined governance parameters.
- Integration with Popular Cloud Providers: Integrates seamlessly with major cloud providers like AWS, Azure, GCP, and more.
IBM MultiCloud Manager is a comprehensive platform designed to manage deployments across various cloud environments, including public clouds, private clouds, and on-premises infrastructure. It offers features like:
- Workload Placement and Optimization: Intelligently distributes workloads across different cloud platforms based on cost, performance, and compliance requirements.
- Cloud Agnostic Management: Provides a consistent management experience across heterogeneous cloud environments.
- Automated Operations: Automates routine tasks like provisioning, configuration management, and patching, streamlining cloud operations.
- Built-in Security Features: Offers built-in security features to protect your cloud deployments and ensure compliance with industry regulations.
Azure Arc by Microsoft extends Azure management capabilities to manage and govern any infrastructure, on any cloud, or on-premises. It offers features like:
- Hybrid and Multi-Cloud Management: Enables consistent management of resources across Azure cloud, other public clouds, and on-premises environments.
- Infrastructure as Code (IaC) Support: Integrates with popular IaC tools like Terraform and Bicep for deployment and configuration management.
- Automated Operations: Automates infrastructure provisioning, configuration, and management tasks across different environments.
- Security and Governance: Provides security and governance tools to ensure consistent policies and compliance across your hybrid and multi-cloud deployments.
While not a single tool, AWS offers a comprehensive suite of cloud management tools designed to provide visibility, control, and optimization for your AWS deployments. These tools include:
- AWS Management Console: A web-based interface for provisioning, managing, and monitoring AWS resources.
- AWS CloudFormation: An IaC service for managing and automating the provisioning of AWS resources.
- AWS Cost Management Service: Provides insights into your AWS spending and helps identify opportunities for cost optimization.
- AWS CloudTrail: Monitors and records API calls made to your AWS account, enabling activity tracking and auditing.
It provides a cloud management platform that goes beyond infrastructure and encompasses software asset management across your multi-cloud environments. It offers features like:
- Integrated Cloud Management: Combines infrastructure and software asset management for a holistic view of your multi-cloud deployments.
- Cost Optimization: Analyzes cloud spending across infrastructure and software licenses to identify optimization opportunities.
- Risk Management: Identifies and mitigates potential security risks associated with software licenses and cloud deployments.
- Compliance Management: Ensures adherence to software license agreements and compliance regulations across your multi-cloud environments.
While Dynatrace isn’t exclusively a multi-cloud management platform, it offers robust cloud monitoring and application performance management (APM) capabilities that are crucial for effective multi-cloud management. It provides features like:
- Unified Monitoring Across Clouds: Monitors application performance and health across different cloud platforms, offering a holistic view of your multi-cloud environment.
- Automatic Root Cause Analysis: Identifies the root cause of performance issues across cloud infrastructure, application code, and network layers.
- Digital Experience Monitoring (DEM): Monitors user experience across different cloud deployments and identifies potential problems impacting user journeys.
- Cloud Security Monitoring: Provides cloud security insights and helps detect potential threats across your multi-cloud infrastructure.
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Key Considerations in Multi-Cloud Management
While multi-cloud strategies offer numerous benefits, effectively managing multiple cloud environments comes with its own set of hurdles.
1. Increased Complexity
Juggling Multiple Platforms: It may be very difficult to manage resources, services, and configurations across various cloud providers with different billing models, interfaces, and APIs.
Standardization Difficulties: Ensuring consistent practices (security policies, deployment processes) across diverse cloud environments can be a challenge.
Skills Gap: To properly administer different cloud platforms, IT teams may need specific skills and knowledge.
2. Security Concerns
Maintaining Consistent Security Posture: Enforcing consistent security policies and configurations across multiple cloud providers can be complex.
Visibility and Control: Complete visibility and control over security threats and access management in various cloud settings can be challenging to maintain.
Data Security and Compliance: Ensuring data security and compliance with regulations across multiple cloud providers can be challenging.
3. Integration and Interoperability
Compatibility Issues: Services and applications running on different cloud platforms might not integrate seamlessly due to compatibility issues.
API Management: Managing and governing APIs across different cloud providers to ensure smooth communication and data exchange can be complex.
Vendor Lock-In Risk: Reliance on proprietary tools or services from specific cloud providers can lead to vendor lock-in, making it difficult and expensive to switch later.
4. Cost Management
Hidden Costs: Optimizing costs across multiple cloud providers with different pricing structures and billing models can be a challenge.
Unused Resources: Identifying and eliminating unused resources across different cloud environments can be tricky, leading to wasted spending.
Cloud Sprawl: Uncontrolled provisioning of resources across multiple clouds can lead to cloud sprawl, increasing costs and management complexity.
5. Performance and Scalability
Monitoring Performance: Monitoring application performance and resource utilization across various cloud environments can be complex.
Network Latency: Data transfer between geographically dispersed cloud environments can introduce latency issues, impacting application performance.
Scalability Challenges: Scaling resources up or down dynamically across multiple cloud platforms might require additional tools and expertise.
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Kanerika: The Ultimate Choice for All Your Cloud Management Needs
Effective cloud management is crucial for business success these days. Kanerika stands out as the number one choice for all your cloud management needs, offering unparalleled expertise and innovative solutions.
Our comprehensive cloud management services ensure seamless integration, optimized performance, and robust security across multi-cloud environments. We help businesses achieve greater flexibility, reduce costs, and enhance scalability.
Our dedicated team of cloud experts works tirelessly to tailor solutions that meet your unique requirements, providing continuous support and proactive management. Trust us to transform your cloud infrastructure into a powerhouse of efficiency and reliability. Experience the difference with Kanerika’s top-tier cloud management solutions today.
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Frequently Asked Questions
What is multicloud management?
Multicloud management is like being the conductor of a complex orchestra, where each instrument represents a different cloud provider. You manage the overall performance, ensuring everything plays in harmony, while also optimizing for individual strengths and minimizing redundancy. This means ensuring your data is safe and accessible across different cloud platforms, maximizing cost efficiency, and ensuring seamless application deployment.
What is an example of a multi-cloud?
A multi-cloud setup is like having your digital eggs in multiple baskets. Imagine using Amazon Web Services (AWS) for your primary storage and computation, while using Google Cloud Platform (GCP) for specific data analytics tasks. This allows you to leverage the strengths of each cloud provider, maximizing flexibility and avoiding vendor lock-in.
What is a multi-cloud strategy?
A multi-cloud strategy is like having your eggs in multiple baskets. Instead of relying solely on one cloud provider, you use several, spreading your workload and minimizing the risk of dependency on a single platform. This offers flexibility, cost optimization, and resilience by taking advantage of the strengths of each cloud provider.
What is the difference between Multicloud and multi-cloud?
"Multicloud" and "multi-cloud" are often used interchangeably, but there's a subtle difference. Multicloud refers to a strategic approach where you use multiple cloud providers (like AWS, Azure, and Google Cloud) to meet your diverse needs. Multi-cloud, on the other hand, simply means using more than one cloud service, even if they're from the same vendor. So, while both involve multiple clouds, multicloud emphasizes a deliberate strategy while multi-cloud just describes the technical setup.
Is AWS a Multicloud?
AWS itself is not considered a multicloud platform. Multicloud refers to using services from multiple cloud providers, like AWS, Azure, and Google Cloud, within a single environment. While AWS offers tools to manage other cloud providers, it primarily focuses on its own services. Think of it as a single, expansive cloud ecosystem rather than a platform designed for bridging multiple clouds.
How many companies use Multicloud?
It's impossible to give an exact number of companies using multicloud. However, the trend is rapidly accelerating. Many businesses are realizing the benefits of spreading their workloads across multiple cloud providers, leveraging the strengths of each platform. This approach offers greater flexibility, resilience, and cost optimization.
What is multi-cloud in Azure?
Multi-cloud in Azure refers to using Azure alongside other cloud providers like AWS or Google Cloud. It's like having a "best-of-both-worlds" approach, leveraging each platform's strengths for specific tasks. This allows for flexibility, resilience, and cost optimization by avoiding vendor lock-in and accessing diverse services across different clouds.
What is the limit of Multicloud?
The "limit" of multicloud isn't a single, fixed point. It's more about reaching the point where managing multiple cloud providers becomes overly complex and costly. This can happen when organizations haven't carefully planned their cloud strategy, leading to inconsistent security, governance, and data management across platforms. The key is to balance the benefits of multicloud with the operational overhead it can bring.
Why cloud management?
Cloud management simplifies the complex world of cloud computing. It provides a centralized platform to control, monitor, and optimize your cloud resources, from servers and storage to applications and security. By automating tasks and providing insights into performance and costs, it saves time, reduces errors, and ultimately, helps you get the most out of your cloud investments.
How to manage multiple cloud environments?
Managing multiple cloud environments effectively requires a strategic approach. It involves centralized control through tools like cloud management platforms, automation for consistent deployments and configurations, and consistent security policies across all environments. This ensures efficient resource allocation, streamlined operations, and enhanced security posture.
What is the difference between cloud and Multicloud?
"Cloud" refers to using computing resources like servers and storage over the internet, provided by a single vendor like AWS or Azure. "Multicloud" means using services from multiple cloud providers simultaneously, like using AWS for storage and Google Cloud for analytics. This offers flexibility, redundancy, and avoids vendor lock-in.