Data (dubbed nowadays as the “new oil”) is now a fundamental requirement in any business planning to evolve and compete.
This is why observability and data monitoring are no longer just buzzwords but critical practices that can help you completely transform the way your business operates. They can make it more efficient than ever while minimizing downtime.
In this blog post, we'll explore how these services can benefit your business, showcase some success stories from Syone’s clients, and provide actionable insights on how to get started with observability and data monitoring.
Observability has become popular around the tech world, but what is it really?
In other words, observability is a way to determine how systems behave and their state by building instruments to extract information. That goes deeper than traditional monitoring, letting you find the why and how of system performance problems.
Observability is well-known now because it can provide a comprehensive view of a system’s health by analyzing logs, metrics, and traces.
Monitoring tells you something is broken, observability explains why it's wrong and how to fix it. By knowing more about it, you can react faster and respond better to these events before they impact your operations.
In order to realize the value of observability in its true sense, you need to understand these three primary elements: logs, metrics and traces.
Data monitoring is critical to gaining an extra level of control over your systems’ performance. In the end, it is vital to catch bugs early before they escalate into major issues that interfere with your business. Real-time monitoring allows you to identify anomalies and respond to them instantly.
Data monitoring is also the foundation for observability. Without adequate monitoring, true observability can be difficult to obtain. The monitoring tools collect this data and create a larger picture with more information about system health.
Building observability and data monitoring into your operations can bring several benefits:
Real-world success with observability and data monitoring
Let's examine some examples from Syone customers in depth to show how much of an impact good observability and data flow monitoring can have.
As a multinational utility company, EDP generated large volumes of data through its SAP-based integration platform. However, its monitoring tools were unable to effectively capture all necessary raw data, which led to setbacks and slow issue resolution efforts.
Syone implemented a comprehensive observability solution using Elastic, which allowed EDP to parse unstructured log data into structured, queryable insights. As a result, EDP reduced the time required to perform event analysis from days to mere seconds, dramatically improving its operational efficiency.
This solution not only streamlined EDP's data management processes but also provided the scalability needed to handle its growing data volumes. By leveraging observability, EDP gained deeper insights into its operations, leading to better decision-making and more reliable service delivery.
Learn More here - https://syone.com/media/client-cases-edp-achieve-business-innovation-with-data-inisights
Pingo Doce is one of Portugal's leading supermarket chains, operating over 470 stores across the country. Managing such a large and dispersed network posed significant challenges, particularly in terms of data monitoring and operational visibility. The company's outdated and decentralized infrastructure made it difficult to respond to operational issues in real-time.
Syone proposed and implemented a new infrastructure designed to centralize data inputs across all stores. This included migrating to the latest version of Zabbix, a powerful open-source monitoring solution, and configuring custom dashboards tailored to Pingo Doce's specific needs.
As a result, Pingo Doce gained real-time monitoring capabilities across its entire operation, enabling it to identify and resolve issues more quickly than ever before. This not only improved its operational efficiency but also reduced the risk of disruptions to its business.
Learn More here - https://www.syone.com/pingo-doce-data-driven-revolution-case-study
Implementing observability or data monitoring may sound a little confusing, but we can manage that smoothly with the right approach and tools. For you to kick-start, here are few steps:
1) Assess Your Existing Monitoring Capabilities: The first step is to comprehensively evaluate your current monitoring tools and practices(if any). Identify any gaps or limitations in your current setup and determine what additional data you need to collect to achieve true observability.
2) Select the Necessary Tools: Different observability tools have pros and cons, and there are many available on the market. Select tools based on your needs and consider points such as usability, scalability, integration capability, and cost.
3) Implement Monitoring and Instrumentation: Start by instrumenting your systems to collect logs, metrics, and traces. This might include deploying monitoring agents, setting up dashboards, and creating alerting hooks. Your monitoring should cover all your system's most important parts.
4) Create a Baseline: You cannot identify anomalies before knowing what "normal" is. Lay out key performance baselines with historical data to help detect variation.
5) Set up Alerts and Automation: To get the most out of observability, you should have targeted automated alerts to keep your team informed about potential issues in real-time. Think about automating common issue responses to lessen manual work.
6) Constantly Monitor and Optimize: Observability is not a one-time project; it's an iterative process. Over time, you should be evaluating the data that is being sent, adjusting your alert rules and thresholds as necessary, and improving observability practices. If something goes wrong, then conduct post-incident reviews to find out what happened so you can learn from it and make your system more resilient in the future.
7) Educate Your Staff: Get your IT and DevOps team to learn the basics of observability and monitoring all data metrics. Train them in how to use these tools and understand data so that they can make sound decisions to respond effectively.
8) Let Syone do the work for you: Whether you're just starting out with monitoring or looking to take your observability practices to the next level, Syone has the tools and expertise to help you succeed.
The role of observability and data monitoring should then increase as businesses further adopt digital transformation. The proliferation of cloud-native architectures, microservices, and distributed systems has increased the complexity of IT environments beyond what traditional monitoring modalities can handle.
We can even see more intelligent and automatic observability solutions in the future. Machine learning, AI will facilitate predictive monitoring systems to predict your problems before you even face one and make decisions to prevent them.
Furthermore, integrating observability with broader business analytics will allow organizations to correlate IT performance with business outcomes. This will enable more strategic decision-making, as businesses can see how changes in their IT environment impact key metrics such as revenue, customer satisfaction, and market share.
Until now, you could get away with not giving observability and data monitoring too much importance in your business operations, but no more. With top-notch solutions from our partners, Syone can assure you that your systems are performing at their best — allowing you to thrive in the new data era.
From real-time monitoring and alerting to advanced data analytics, our services are designed to empower your organization with the insights needed to drive success.