Azure Advisor Complete Guide

Why Continuous Cost Optimisation is Essential for Azure Environments

In the dynamic realm of cloud computing, Azure environments are seldom static. As organisations modernise their applications, migrate legacy systems, and embrace expansive AI-driven workloads, the complexity and scale of their cloud infrastructures escalate rapidly. This growth introduces a range of challenges, such as escalating cloud costs that can be difficult to decipher, performance bottlenecks that are hard to diagnose, security misconfigurations that increase risk exposure, and gaps in reliability that can directly impact business continuity.

Today’s modern cloud environments require ongoing optimisation rather than serving merely as deployment platforms. This is where Azure Advisor steps in. Essentially, it acts as Microsoft’s embedded, customised cloud consultant. It performs automated health checks on your infrastructure, scanning resources to identify issues and suggest remedies. While Azure Advisor spans multiple domains, its Cost Optimisation module is frequently the feature in highest demand today. In an era where the mantra is “doing more with less,” pinpointing and eliminating waste has become a top priority for cloud stakeholders.

What is Azure Advisor?

Azure Advisor acts as a native, digital consultant that leverages telemetry from your resource configurations and usage to deliver personalised recommendations. Its primary role is to align your infrastructure with the Microsoft Azure Well-Architected Framework. By providing actionable guidance, Azure Advisor ensures that your cloud environment is not only effective but also efficient, secure, and resilient.

Azure Advisor’s Role in the FinOps Lifecycle

Within the FinOps (Cloud Financial Management) lifecycle, Azure Advisor serves as an integral tool. Its utility primarily lies within the “Inform” and “Optimise” phases. It supplies the granular data necessary for teams to understand their spending patterns and identifies straightforward opportunities for cost reduction. Unlike manual audits that offer a snapshot of a particular moment, Advisor functions continuously, contrasting your live environment against Microsoft’s internal benchmarks for best practices. This process assists engineers in bridging the gap between raw data and crucial business decisions, ensuring they have the technical evidence to advocate for specific architectural changes to financial teams.

Overview of Azure Advisor’s Modules

To provide a comprehensive view of your cloud’s health, Azure Advisor categorises its insights into five key pillars:

• Cost: The primary focus is on efficiency, finding underutilised resources, and recommending strategies to save on your monthly expenses without sacrificing quality.
• Performance: This module ensures that your applications run smoothly by identifying bottlenecks and suggesting SKU upgrades or network changes to enhance speed.
• Security: Deeply integrated with Microsoft Defender for Cloud, this module protects your resources from cyber threats and configuration errors.
• Reliability: Previously known as High Availability, this module ensures business continuity by keeping your services active even during regional outages or hardware failures.
• Operational Excellence: This module aids in managing your environment efficiently, promoting resource organisation and governance.

Exploring the Azure Advisor Cost Module

The financial driving force within Azure Advisor is the Cost module, designed to maximise value for every pound spent on Azure. It monitors your resource use—computing, memory, and network telemetry—over a typical rolling period of 7 to 30 days.

How Azure Advisor Estimates Potential Savings

Advisor estimates potential savings by identifying resources that are either oversubscribed (too powerful for their tasks) or idle (inactive). It then compares current spending on these resources with what a recommended, more efficient configuration would cost. For instance, if a virtual machine costs £500 a month yet utilises only 3% of its power, Advisor will illustrate how much you could save by switching to a £100 per month option, thus providing a clear, prioritised list of actions for stakeholders to reclaim their budgets.

Azure Advisor’s Cost-Saving Recommendations

Here are some common strategies through which Azure Advisor assists in cost savings. Learn more about best practices for Azure Advisor’s cost recommendations here.

Right-Size Underutilised Virtual Machines

Over-provisioning in the cloud is a widespread issue; engineers often opt for larger VM sizes “just in case.” Advisor monitors these VMs, flagging those with low CPU utilisation (below 5%) and minimal network utilisation over extended periods. Advisor may recommend a specific SKU downgrade, such as transitioning from a D-series to a burstable B-series VM, ensuring you’re only charged for what you utilise.

Identify Idle Virtual Machines

Idle resources can silently drain your budget. Advisor identifies VMs that are stopped but not deallocated. In Azure, shutting down a VM from the OS still counts as reserved hardware, incurring charges. Advisor also flags VMs that are technically “on” but have had no activity for several days. Properly shutting these down can lead to complete savings on those compute costs.

Invest in Reserved Instances (RI)

For predictable workloads that run continuously, the Pay-As-You-Go model is often the costliest option. Advisor utilises your 30-day usage history to suggest Reserved Instances. By committing to a one- or three-year period, you can save up to 72% on resources like VMs, SQL Databases, and App Service plans.

Consider Savings Plans

A newer offering, Azure Savings Plans for Compute, provides more flexibility than Reserved Instances. Unlike RIs, which are tied to specific regions or instance families, Savings Plans apply discounts to various compute services worldwide, based on an hourly expenditure commitment. Advisor helps you decide which model suits your resource demands better.

Eliminate Unattached and Orphaned Resources

When a VM is removed, associated components sometimes remain, accumulating charges. Advisor identifies:

• Unused Disks: Unattached managed disks
• Unused Public IPs: Addresses charged without allocation to a resource.
• Idle NICs: Network interfaces no longer in use.
• Unused Gateways: ExpressRoute or VPN gateways not processing any traffic.

Accessing Azure Advisor’s Cost Recommendations

Gaining access to these insights is straightforward, depending on your technical preference:

• Azure Portal: This graphical dashboard is the most common access point, offering a visual summary and “Quick Fix” buttons for immediate changes.
• Azure Advisor API: Ideal for developers and automation specialists looking to integrate recommendation data into internal reports or monitoring tools.
• CLI and PowerShell: Best for infrastructure-as-code teams needing to export extensive recommendation lists for auditing across several subscriptions.

Accuracy of Azure Advisor’s Cost Savings Estimates

While Advisor’s calculations typically perform well, it is crucial to understand the nuances behind these figures. Savings estimates usually reflect retail prices (Pay-As-You-Go). If your organisation has a bespoke arrangement with certain vendors via an Enterprise Agreement (EA) featuring special discounts, the portal’s numbers may exceed your actual savings.

Additionally, the accuracy of estimates can be influenced by seasonal workload variations. Since Advisor generally reviews data from the past 7 to 30 days, it might suggest downsizing a VM that is currently “quiet” but expected to experience heavy load during busy periods, such as quarterly reports or holiday sales. Always assess the business context before acting on recommendations.

Limitations of Azure Advisor’s Cost Module

Despite its many benefits, Advisor does have shortcomings that large organisations and MSPs must address:

• Single-Subscription Visibility: It can be challenging to achieve unified visibility across 50 or more subscriptions by default.
• Historical Depth: It lacks extensive historical data necessary for complex forecasting.
• No Business Context: Advisor cannot ascertain if a “low-utilisation” VM is actually critical for disaster recovery and should remain active.
• No Native Automation: Advisor provides recommendations but does not automate the implementation of these changes at scale.
• Ownership Gaps: It cannot identify which department is accountable for certain resources, making it difficult to hold specific teams responsible.

Azure Advisor’s Performance Module

The Performance module focuses on the speed and user experience of applications. It identifies resources under strain based on their current load. For instance, if your Application Gateway approaches its throughput limit, Advisor will recommend a SKU upgrade. It may also suggest migrating to Premium SSDs for databases sensitive to latency and identify network setups that are slowing your cross-region traffic.

Azure Advisor: Security Module

Security is integrated with Microsoft Defender for Cloud. This module scans for easily fixable vulnerabilities, such as open RDP/SSH ports that could facilitate brute force attacks. It also identifies lacking Multi-Factor Authentication (MFA), unencrypted storage accounts, and outdated operating systems. Following these recommendations helps organisations uphold a robust security posture against evolving threats.

Ensuring Reliability with the Azure Advisor Module

Reliability is crucial for maintaining operational continuity. Advisor recommends architectural changes to prevent downtime, such as implementing Availability Zones to safeguard against data centre failures. It also assesses your backup configurations; for example, if a crucial SQL database lacks cross-region backup, it will highlight this as a high-risk area for business continuity.

Promoting Operational Excellence with Azure Advisor

This module is all about implementing best practices in governance. For instance, it advises using Azure Policy to enforce resource tagging. It also identifies legacy resources, such as older API versions, that should be upgraded to more modern equivalents for better long-term support and manageability.

Azure Advisor vs Azure Cost Management

These two tools are often confused, but they serve different purposes:

• Azure Cost Management focuses on tracking and analysis, detailing where funds have been allocated (billing, budgets, and forecasting).
• Azure Advisor is geared towards optimisation, offering insights on how to reduce future spending by reconfiguring resources.

Think of Cost Management as your bank statement and Advisor as your financial planner. For more details, read an in-depth guide on Azure Advisor versus Azure Cost Management and Turbo360.

Azure Advisor Compared to Third-Party Cost Optimisation Tools

While Azure Advisor provides a solid foundation, enterprise-grade tools like Turbo360 offer enhanced functionality:

• Advanced Discovery: Third-party tools often detect resources commonly considered “zombie” (like unneeded old snapshots or idle test labs) that Advisor may overlook.
• Cross-Cloud Visibility: For organisations using both AWS and Azure, third-party tools streamline management by providing a single comprehensive view.
• Automation: They can facilitate “self-healing” workflows, such as automatically deleting unattached disks after 30 days of inactivity.

Enhancing Azure Advisor’s Capabilities with Turbo360

Turbo360 transforms Azure Advisor’s raw data into actionable insights for large enterprises and MSPs.

• Centralised Visibility: Turbo360 consolidates recommendations from numerous subscriptions into a unified dashboard, eliminating the need to navigate through multiple portal views.
• Advanced Cost Optimisation: It goes beyond basic compute metrics to uncover intricate patterns of waste that Advisor might miss.
• Automated Remediation: Turbo360 can be programmed to automatically identify and alert you about cost spikes or idle resources in real-time, allowing for “set-and-forget” governance.
• FinOps-Ready Reporting: It generates executive-level reports showing not just “potential” savings but the actual return on investment (ROI) from your optimisation efforts.

Real-World Scenarios and Use Cases for Azure Advisor

• Rightsizing: A tech firm benefited from Advisor by identifying 40 over-provisioned VMs, leading to a monthly savings of £4,000 without performance complaints.
• Reservations: An MSP leveraged RI recommendations to advise a client in transitioning their steady-state database workloads to Reserved Instances, resulting in yearly savings of £80,000.
• Cleanup: A development team utilised Advisor to locate and eliminate £1,500 worth of unclaimed managed disks left from a previous project that concluded six months ago.

Best Practices for Leveraging Azure Advisor

To maximise the value of Azure Advisor, establish a regular review routine:

• Review Frequency: Consistently check your recommendations at least weekly, as cloud environments evolve daily and waste can accumulate rapidly.
• Implement Tagging and Ownership: Resource tagging enhances accountability. If Advisor recommends deleting a VM, ensure you can identify its creator to verify whether it’s necessary.
• Validation: Always review at least 30 days of performance data before downsizing any resource. Avoid making decisions based on a single week of low activity for critical applications.

Azure Advisor Usage Checklist

Use the following checklist to maintain a cost-effective and healthy Azure environment:

• Weekly: Review all high-impact cost recommendations.
• Monthly: Validate the utilisation of VMs and right-size as needed.
• Monthly: Evaluate any new options for Reserved Instances and Savings Plans.
• Quarterly: Audit security and reliability metrics to avoid configuration drift.
• Always: Employ tools like Turbo360 for automated waste detection across multiple tenants.

FAQs

What is Azure Advisor used for?

Azure Advisor provides personalised suggestions to enhance the cost-efficiency, security, and reliability of your Azure resources.

Is Azure Advisor a free service?

Yes, Azure Advisor is complimentary and included with every Azure subscription.

How often does Azure Advisor update?

Recommendations are typically refreshed multiple times a day based on your latest usage data.

Does it identify all types of waste in Azure?

No, it primarily focuses on significant resources such as VMs and SQL. For a more detailed analysis of waste, third-party tools may be necessary.

Can Azure Advisor automate fixes?

The native Advisor does not automate changes; implementations must be made manually or facilitated through an external platform like Turbo360.

Is Azure Advisor sufficient for FinOps?

While it’s a crucial starting point, mature FinOps teams often require additional reporting and multi-tenant visibility that Azure Advisor lacks.