Many organizations today are using multiple cloud platforms to manage their applications, infrastructure, and daily operations. Some use AWS, while others work with Azure or Google Cloud Platform (GCP). Along with these, Kubernetes and other DevOps tools are also becoming part of their IT environments.
Using multiple cloud platforms gives organizations more flexibility, but monitoring everything separately is not always easy. Teams have to check different dashboards, look at alerts from different tools, and spend time understanding where a problem is coming from.
I feel that having all this information in one place can make cloud operations much easier. This is where multi-cloud observability becomes important.
When companies use more than one cloud platform, keeping track of all the services and resources can become challenging.
For example, if an application is running slowly, the team may need to check the server, application logs, network activity, and other connected services. If this information is available across different tools, finding the actual issue can take more time.
Some common challenges I have noticed with multi-cloud environments are:
- Limited visibility: It becomes difficult to understand the overall health of cloud environments when each platform has a separate dashboard.
- Difficult troubleshooting: Teams may spend more time checking different tools to identify the reason behind an issue.
- Too many alerts: Managing alerts from different platforms can make it difficult to understand which issues need immediate attention.
- Cloud cost management: Tracking spending across different cloud providers, teams, and projects requires proper visibility.
- Application performance: Without connecting application and infrastructure information, identifying performance issues can be challenging.
Having a monitoring solution is important, but having a complete view of all cloud environments is equally important.
A unified observability platform helps teams monitor different cloud environments from one place. Instead of switching between AWS, Azure, and GCP dashboards, teams can view infrastructure and application information through a common platform.
Let's look at some important areas.
1. Infrastructure Monitoring
Infrastructure monitoring helps teams understand the health of their cloud resources, including servers, storage, networks, and other services.
When organizations use multiple cloud platforms, it is useful to monitor all these resources from one dashboard. Teams can check resource usage, identify unusual activity, and understand which areas need attention.
2. Application Performance Monitoring
Sometimes the infrastructure may be working properly, but users may still experience slow applications.
Application Performance Monitoring helps teams understand application response times, errors, service dependencies, and performance issues.
Distributed tracing is also useful because it helps track how requests move between different services. This makes it easier to identify where delays are happening.
3. Centralized Log Management
Logs provide important information about what is happening inside applications and infrastructure.
When logs are available in different systems, finding the required information can take time. Centralized log management helps bring these logs together so teams can search and analyse them more easily.
Connecting logs with metrics and traces also helps during troubleshooting.
4. Alerts and Incident Management
Monitoring is not only about collecting information. Teams also need to know when something goes wrong.
Smart alerts help identify unusual activity, errors, and performance problems. These alerts can be connected with incident management tools and workflows so the right teams can take action.
This helps reduce the time spent identifying issues and managing incidents.
5. Cloud Cost Monitoring and FinOps
Cloud cost management is another important area, especially when organizations are using multiple cloud providers.
Sometimes, resources may remain unused or may not be utilized properly, which can increase cloud spending.
FinOps dashboards help teams understand where their cloud budget is being used. They can monitor costs by team, project, and environment, identify idle resources, and look for opportunities to optimize spending.
6. Security and Compliance Monitoring
Managing security across multiple cloud platforms also requires continuous visibility.
Teams need to monitor configuration changes, policy drift, encryption coverage, and compliance requirements.
Having this information in one place helps teams understand their security posture and maintain better visibility across their cloud environments.
When we talk about observability, four important types of information help teams understand what is happening across their systems.
Metrics: Metrics help monitor CPU usage, memory, disk utilization, application response time, and other performance information.
Logs: Logs provide details about application activities, errors, and system events.
Traces: Traces help teams understand how requests move between different services and identify where delays or errors occur.
Events: Events provide information about deployments, configuration changes, scaling activities, and other important updates.
When these four are connected, teams can understand issues more clearly instead of checking each source separately.
Many organizations are also using Kubernetes, containers, and microservices to manage their applications. These environments involve multiple connected services, and monitoring them individually can become difficult.
For DevOps teams, it is important to understand what happens during and after application deployments.
For example, if an application starts showing errors after a new release, teams should be able to connect that deployment with the changes in application performance.
By connecting CI/CD pipelines with observability, teams can understand what changed and identify possible issues more quickly.
Kubernetes monitoring also helps track clusters, containers, workloads, and service dependencies.
With different cloud platforms, applications, and services involved, managing everything through separate tools can take additional effort.
ZioSet Insights provides a unified platform for multi-cloud monitoring and observability across AWS, Azure, GCP, Kubernetes, and DevOps integrations.
It brings different monitoring capabilities together, including infrastructure monitoring, application performance monitoring, centralized log management, alerts, incident management, and FinOps dashboards.
Some of the important capabilities include:
- Monitoring infrastructure and application performance.
- Collecting and analysing metrics, logs, traces, and events.
- Managing alerts and incident workflows.
- Monitoring cloud spending and identifying cost optimization opportunities.
- Integrating with Kubernetes and CI/CD tools.
- Tracking security posture and compliance.
- Discovering services and mapping infrastructure dependencies.
- Monitoring SLA, SLO, and uptime through dashboards.
Organizations can start with one cloud platform or Kubernetes environment and gradually expand their monitoring as their requirements grow.
As more organizations move towards multi-cloud environments, monitoring different platforms separately can become a challenge. Teams need proper visibility into infrastructure, applications, performance, security, and cloud spending.
In my view, observability should not be limited to checking whether a server or application is running. It should also help teams understand why an issue is happening and what needs to be done to resolve it.
Bringing metrics, logs, traces, and events together can make monitoring and troubleshooting easier. It also helps teams manage cloud resources, improve application performance, and maintain better visibility across their environments.
The main goal is to have a clear understanding of what is happening across all cloud platforms without having to depend on multiple disconnected tools.
