You’ve likely been there as a Data Engineering Lead:
- Pipelines stop working for no reason
- Your bill suddenly spikes
- You cannot see all of your infrastructure as it is getting bigger
- Your team members work in isolation
Eventually, you realise that even though you are running a modern data stack, you have no visibility or control over the way it operates.
This is a clear example of flying blind in 2026.
This is also the exact problem that cloud infrastructure management was created to solve.
What is Cloud Infrastructure Management?
Cloud infrastructure management includes the tools, processes, and practices used to monitor, control, optimise, and automate all cloud resources (compute, storage, networking, and security) within all environments.
It can be applied:
- To public cloud platforms
- To private cloud environments
- To hybrid/multicloud setups
In the simplest form, cloud infrastructure management provides the visibility and control to everything you have running inside your cloud environment.
Cloud Infrastructure Management and Cloud Computing
A common question that is also asked is:
What is cloud infrastructure management in cloud computing?
It is the operational layer of cloud management that ensures that:
- Resources are provisioned correctly
- Systems operate reliably
- Costs are optimised
- Security compliance policies are enforced
Without cloud infrastructure management, the cloud can quickly become chaotic.
The Reason Why Everyone Is Flying Blind
As most teams never start from chaos. The first step to success in the cloud is speed.
The initial velocity to launch new products, build features and scale infrastructure can create a chaotic environment.
When infrastructure and tools are built too quickly, they will lead to fragmented tools; blurred lines of ownership; the creation of observability gaps and, finally, issues that will be buried until they become a problem.
If you are a leader of a data team that may resonate with you:
- You are not able to identify what workloads are causing you the greatest costs
- You have alerts that react only and not those that are predictive
- You do not have a clear understanding of how to manage your infrastructure dependencies
- You are unable to accurately predict your capacity needs
This leads to the insight: when you grow without governance, then you are introducing hidden risk into your infrastructure.
The Five Core Elements of Cloud Infrastructure Management
The fundamental problem with the lack of visibility is that you can only know what you are managing once you identify what it is.
Core Elements of Cloud Infrastructure Management:
Resource Provisioning and Orchestration
Move to automation in infrastructure provisioning.
- Use Infrastructure as Code (IaC)
- Automatically scale workloads
Monitoring and Observability
Leaders' often ask: how do I efficiently monitor my Cloud Infrastructure.
Key Monitoring and Observability Functions include:
- Real-Time Metrics (CPU/Memory/Latency)
- Distributed Tracing
- Log Aggregation
Cost Management and Optimization
Your overall Cloud Spending is a high Growth line item in your budget.
Properly Executed Cloud Infrastructure Management will provide:
- Attribution of Cost by Workload
- Budget Tracking
- Waste Identification
Security and Governance
Another key area of concern is Best Practices on how to secure workloads in an Environment of Major Public Cloud Provider?
The key areas associated with Security and Governance which are critical include:
- Identity and Access Management
- Policy Enforcement
- Compliance Monitoring
Automation and Scaling
- Automatically Scale Workloads
- Self-Healing Systems
- Automate Processes
Key Elements of a Cloud Infrastructure Strategy
High-Performance Systems are Made of Architecture not Magic Tools.
The Hard Elements of a Cloud Infrastructure Strategy are as follows:
- Unified Visibility Layer: Single/Pan of Glass for all Cloud
- Automation-First/Design: Reduce Manual Operations
- Cost Intelligence: Align Infrastructure with Business Value
- Security and Compliance: Build Security into Strategy
Securing Your Workflows from the Start
When you're developing your workflows, build in any necessary governance.
The ability to grow your number of tasks is important; therefore, if possible, you should be able to add a significant number of tasks without having to do any extra work.
Key Tools for Enterprises to Use to Manage Their Cloud Infrastructure
Things that data leaders should do:
Which tools are the best for enterprises that need to manage their cloud infrastructure?
Cloud Specific Tools
- AWS CloudWatch
- Azure Log Analytics
- Google Cloud Operations
Cross Cloud Tools
- Datadog
- New Relic
- Dynatrace
Infrastructure Automation Tools
You should also consider:
What are the best tools available to automate the management of your cloud infrastructure?
- Terraform
- Pulumi
- AWS CloudFormation
Cost Management Tools for Cloud Infrastructure
- CloudHealth
- Spot by NetApp
- Finout
In conclusion, there is not one single solution; therefore, the objective is to connect your tools together, rather than to try to replace them.
Cloud Infrastructure Management Tool vs Cloud Infrastructure Management Service
Many people mistakenly believe that they are the same:
What is a cloud infrastructure management service?
It’s a service that is provided by an external service provider, whereby they:
- Monitor the operation of your Infrastructure
- Optimize the performance of your Infrastructure
- Run the systems needed to support your Infrastructure
Tools vs Services
- Control → High (Tools) / Medium (Services)
- Effort → High (Tools) / Low (Services)
- Cost → Long-term (Tools) / Ongoing (Services)
Hybrid Cloud Infrastructure Management
The majority of businesses will never operate solely in the cloud.
Defining Hybrid Cloud Infrastructure Management:
Using a single way of managing multiple types of infrastructure:
- On-Premises
- Private Cloud
- Public Cloud
All of the tools used to manage your cloud-based infrastructure will provide different types of management tools, and will therefore provide you with different types of visibility into your cloud-based infrastructure.
Centralized Management Platform Provides the Solution.
Understanding the components of Cloud Infrastructure Management will assist you in determining which tools will best suit your needs.
Cloud Infrastructure Management Key Features
- Real Time Monitoring
- Automated Provisioning
- Policy Enforcement
- Cost Analysis Tool
- Integration with DevOps Tools
Cloud Infrastructure Management Interface and Importance of Usability
One item that is often missed is:
What is the Cloud Infrastructure Management Interface?
The dashboard/control structure is where teams have the ability to:
- Observe the systems
- Trigger the workflows
- Analyze the metrics of the system
Insight: Bad UX = Low Employee Adoption
Even if you provide the best tools, teams are unable to use them if the tools don’t have the proper UX.
How Do Pricing Models Compare Between Cloud Infrastructure Management Solutions?
This is another very important question you should be asking yourself?
Pricing models will greatly depend on:
- What will be used (metrics, logs, compute)
- Amount of nodes or instances
- Their feature set
Commonly Used Pricing Models:
- Based on usage
- Subscription based
- Mixed
Important: The cheapest tool is not the most cost-effective when you factor in your volume.
Strategies for Reducing Cloud Costs Across Multiple Providers
Cloud cost optimization is no longer optional, it’s a must.
How do you reduce your cloud costs since you are using multiple cloud service providers?
- Rightsizing Resources
Match compute resources to workload - Reserved Instances
Use reserved instances to significantly reduce your long-term costs - Spot Instances
Use reserved instances for workloads that are not impact critical - Eliminate Idle Resources
Shut down idle infrastructure (not being used) - Multi-Cloud Optimization
Reduce your exposure to vendor lock-in pricing traps
Cloud Infrastructure Entitlement Management (CIEM)
An emerging category:
What is cloud infrastructure entitlement management?
CIEM will include:
- Managing permissions
- Reducing over-privileged access
- Improving the security posture of your organization
What Is Important: The vast majority of breaches are due to misconfigured access versus infrastructure failure.
Challenges in Managing Cloud Infrastructure
Even if you use the correct tools, there are still challenges in managing your cloud infrastructure:
- Cloud Tool Sprawl
Too many tools that aren’t integrated - Visibility Gaps
You cannot monitor your entire environment without a unified monitoring layer - Cost Overruns
You have zero accountability for your cost - Security Risk
Due to misconfigured permissions - Gaps in Skills
Team member capabilities and experience in working in the cloud
How to do your work: A step-by-step process aid to help you not fly blind
Step 1: Centralize Observability
Use one platform to create observability for all of your systems.
Step 2: Infrastructure standardization
Utilize an Infrastructure as Code approach.
Step 3: Implement Cost Governance
Track spending by each of your teams and workloads.
Step 4: Automate Everything
Reduce your human mistakes with process automation.
Step 5: Build Continuous Loops of Feedback
Continuously make improvements to your systems.
Example / Use Case from the Real World
A data team expanded rapidly.
- Unpredictable costs associated with using the cloud
- Frequent failures in the pipelines
- Total lack of visibility into successful operations or failures
By implementing a cloud infrastructure management strategy, they were able to:
- Reduce costs associated with using the cloud by 30 %
- Improve incident response time by 40 %
- Improve deployment speed
The Future of AI (Artificial Intelligence) for Cloud Infrastructure
Another trend we have seen is the capability to utilize artificial intelligence to assist with managing cloud infrastructure.
This will allow us to:
- Adjacently scale resources automatically based on predicted needs
- Detect failure, e.g., performance concerning "anomaly detection." (i.e. deviation from expectations)
- Automatically repair itself
Key-Point: The future for infrastructures will be autonomous!
What does it mean to manage cloud infrastructure?
What are the best tools for cloud infrastructure management?
How do I access my infrastructure performance metrics?
What is Meant by Cloud Infrastructure Management Services?
What is Meant by Hybrid Cloud Infrastructure Management?
Key Points to Take Away
The Cloud does not create problems, however, mistakes created due to lack of visibility can prevent a seamless transition to the Cloud.
Without a cloud infrastructure management plan, the most technically advanced database stack will:
Its costs will be extremely high. Will be very fragile. Will be extremely unpredictable.
Logiciel's Position
Logiciel Solutions is capable of helping data teams to transition from manually operated infrastructures into intelligent, observable, and automated infrastructures.
We create capabilities to support:
Artificial intelligence driven monitoring for informing decision-making regarding cloud infrastructure. Implementing frameworks to optimize costs associated with cloud infrastructure; and scalable infrastructures to be utilized within your database stack.
Management of cloud infrastructure is only a portion of what is now being accomplished. You will see your infrastructure; understand your infrastructure; and control your infrastructure!
