Exploring Cloud Observability vs Cloud Monitoring
Posted by: Romke de Haan
If you have anything to do with cloud computing, you have probably heard the word observability. It sounds a lot like monitoring, but in reality, they are different. One deals with capturing generated information for presentation or alerting, whereas the other focuses primarily on the content and ability to make decisions on the generated data. Let’s dive into what is different about them and what approach you should take when looking at the cloud’s observability.
What is Cloud Monitoring?
Cloud monitoring is a systematic process that involves the continuous observation and management of cloud-based services and infrastructure. This practice helps you detect and respond to performance issues, security threats, and system failures in real-time, ensuring the availability, reliability, and optimal performance of cloud resources. By leveraging specialized tools, cloud monitoring provides critical insights and alerts regarding the health and status of cloud deployments.
Cloud monitoring is an essential part of an organization’s broader cloud security assessment; it ensures that organizations can proactively identify and address security risks, thus maintaining the integrity and confidentiality of data as they navigate the complexities of digital innovation. This proactive stance on monitoring is essential for any organization aiming to maximize the benefits of cloud computing while minimizing potential disruptions to their operations.
Cloud Observability
Now with observability, it’s not about taking all the logs that are generated necessarily. It is the information that’s contained within the logs that defines observability. It is more about the capability to monitor and analyze the logs generated by our systems, specifically those that give us actionable insights. Observability can be enhanced in the cloud with three main data formats that are generated:
- Event Logs
- Metrics
- Tracing
It comes down to the fact that if the system can’t identify its state information, it lacks the observability to notify of issues or failures. Observability in the cloud means understanding the systems and services in operation and having the capability to ask new questions and generate novel, relevant data. Focusing on the metadata that connects the systems and services as the data flows through the platform.
Applying Observability To Our Cloud Environments
The approach to observability is focused on enabling the following:
- What actions are being taken by whom?
- What’s in transit on my network?
- What information is necessary to not only answer questions now, but also what might be asked?
- Is all of this information centralized and accessible to those who make changes in the environment?
Beginning with the basic foundation layer, our questions become, “What is happening in my cloud?”
Does the organization have the configurations and services in place to answer this question at any time? Beyond just the “What actions are being taken by whom?”
These are important questions to start with and which must be answered in order to gain observability. We need to know if we can get this information out of the systems we have in place and what is contained within those messages. The next layer brings the following questions:
- Does the organization understand what those actions and activities represent?
- Does the security team have insight into the design process?
- Better yet, is the security team involved in the design process?
Security observability should extend into all aspects of the business and teams. Information traversing through the cloud environment must have a steward, an owner who understands the whole path. The Cloud Center of Excellence (CCE) should maintain a holistic view of the proposed solutions and implement them within the environment.
The CCE should be producing the architectures and frameworks necessary to solve business needs as driven by the requests from the business owners. These efforts should be focused on cloud-native, expandable frameworks that leverage cloud providers’ well-architected scaffolds.
We should be leveraging the tools and services already in the portfolio to the fullest extent before introducing new tools. This way, we start our observability journey right and avoid building on top of a broken architecture. When the groundwork is laid correctly, implementation of the other steps becomes much more manageable. With observability, thinking more holistically becomes key and sets us up to be more successful.
Empowering businesses to apply observability
By developing robust architectures and frameworks, the CCE ensures that organizations can effectively monitor, analyze, and respond to security challenges within their cloud environments. One key area of focus is the integration of comprehensive observability platforms that aggregate logs, metrics, and traces from cloud services and applications. This holistic approach allows IT teams to gain deep insights into system performance and security posture in real-time.
The CCE often leverages tools like Amazon CloudWatch or Azure Monitor to implement a unified observability framework. These tools enable organizations to collect and analyze a wide range of data points across their cloud infrastructure and applications. By setting up custom dashboards and alerts, teams can proactively identify and mitigate potential security threats before they escalate.
Additionally, the CCE advocates for the use of advanced network security and management tools, such as AWS VPC Flow Logs or Azure Network Watcher, to enhance visibility into network traffic and detect anomalous activities. By integrating these services into the CCE’s portfolio, organizations can extend their security observability to cover network interactions, ensuring that all aspects of cloud operations are under continuous surveillance.
These examples demonstrate how the CCE is empowering businesses to apply observability in their cloud environments effectively, leveraging existing tools and services to maintain a secure and resilient digital infrastructure.
Romke de Haan
Romke de Haan has over 22 years of experience as a technical & business leader and technology strategist. Romke has worked with commercial corporations such as Microsoft, Razorfish, & Kohl’s as well as federal agencies including the General Services Administration, Environmental Protection Agency, and Transportation Security Administration.
Romke has provided technology leadership in digital transformation and innovation through the design of data driven and UI-focused systems hosted both in the cloud and on-premise. In working with federal agencies such as the TSA, Romke helped lead cloud migration initiatives by transforming organizational practices from siloed structures and waterfall methodologies to Agile delivery methods such as DevSecOps through CI/CD pipelines.
Romke’s skillset not only includes technology but also includes UI design and business strategy allowing him to better align digital transformation initiatives with the needs of the business. Romke has served in various roles including application architect, developer, mentor to startups across the US and South America, and civic initiatives such as being a founder member of Milwaukee’s Code of America chapter.