Access to key data, optimizing information retrieval, and securing data access are key factors in ensuring the flow of information on the road to operational success.
But how do DevOps professionals look at data to find relevant insights? What tools and strategies can facilitate the process of finding information without compromising security? In a world where data breaches are all too common, how can teams ensure that database security is a priority while their access to it is not hindered? In the following sections we will answer these and many other questions.
Access to the right information
The first skill that matters to a DevOps operator is to wade through the flood of information to find the data needed to solve a problem.
What data do we usually focus on?
Relevant data includes application-generated logs, standard key performance indicators (KPIs), and graphical representations created using advanced tools such as Grafana. The variety, amount of data and the possibilities of its presentation are enormous, which poses a serious challenge in identifying the most relevant information necessary for effective decision making.
In Search of Relevant Data
The problem grows when we consider the dynamic nature of DevOps environments. Data streams are continuous here, and the landscape is rapidly evolving. Continuous volatility means that what was relevant yesterday may not have the same value today. Even new data points can emerge as critical indicators of system health or performance bottlenecks.
Moreover, the dispersed nature of these data sources makes complications mount. Logs can be scattered across different systems. KPIs can be defined in different monitoring tools, and graphical data can be on different dashboards or platforms. This dispersion forces DevOps teams to spend a significant amount of time collecting data themselves, even before they even begin the actual analysis.
Another challenge is the potential data gaps. In the rush to solve urgent operational problems, logs may be overwritten, some metrics may not be captured. This leads to blind spots in understanding the behavior of the system over time. These vulnerabilities can make it difficult to perform root cause analysis or to effectively predict future system performance issues.
Advantages of DBPLUS PERFORMANCE MONITOR
Infinite Data Retention for Historical Analysis:DBPLUS PERFORMANCE MONITOR maintains a comprehensive database of historical metrics. This allows for retrospective analysis, which helps in solving current problems and allows analysis of future trends. Thus, it ensures that no valuable data will ever be lost due to time constraints.
User-friendly dashboard: The dashboard is designed to break through the noise, presenting relevant information in an accessible format. This aspect of the DBPLUS PERFORMANCE MONITOR is essential to quickly diagnose and respond to problems. As a result, users are able to immediately assess the health of their databases and the performance of the application.
Ergonomic data presentation for Oracle systems: Specializing in Oracle systems, DBplus leverages extensive experience to tailor the presentation of data specifically to the nuances and requirements of these environments. Ergonomic design ensures that information is not only accurate, but also presented in a manner consistent with the way of working and analytical needs of Oracle database administrators.
Performance in information retrieval
Response times are benchmarks that describe the operational performance of the entire database system. Long response times, in addition to delaying troubleshooting, exacerbate trouble, affecting end-user experiences and potentially leading to significant downtime. The effect of these delays can disrupt the precisely balanced ecosystem of services and operations that DevOps teams meticulously maintain.
How DBPLUS PERFORMANCE MONITOR can help
Ability to simultaneously manage hundreds of databases, user queries and create reports: One of the distinguishing features of DBPLUS PERFORMANCE MONITOR is its ability to scale and manage a wide range of databases and user queries. As the amount of data, the number of databases and the number of end users increase, DBPLUS PERFORMANCE MONITOR remains extremely fast.
Designed for as little trace of use as possible: The system is designed for no-load insight into database performance issues. By minimizing the consumption of monitored databases and ensuring that data collection processes are efficient and non-invasive, DBPLUS PERFORMANCE MONITOR ensures that performance information is up to date. This allows you to analyze and react to potential bad changes without any noticeable impact on the monitored database or application. DBPLUS PERFORMANCE MONITOR, for collection, does not use local programs (agents) which significantly affects the cost and safety of maintenance of this product.
Historical data
Understanding the trend of system performance, configuration changes, and the impact of updates and network changes is the basis for contextualizing historical data. This is about determining when and why performance peaks and falls occurred and how various changes affected the performance and reliability of the system.
How DBPLUS PERFORMANCE MONITOR takes data analysis to a new level
Long-term trend analysis: DBPLUS PERFORMANCE MONITOR records an infinite timeline of data. Thus, it allows teams to trace the history of system performance, uncovering patterns and anomalies spanning up to years.
Graphical representation of system components: The software transforms complex datasets into intuitive and easily tunable charts.
Improve understanding and management of DevOps: By contextualizing historical data and presenting it with user-friendly visualizations, DBPLUS PERFORMANCE MONITOR greatly improves your understanding of application operation, and database management. At the same time, it allows for a quick analysis of the problems that occur.
Security of access to data
A critical part of monitoring is the need to ensure fast and uninterrupted access to relevant system data. The goal is to monitor and fine-tune performance, while protecting that data from unauthorized access or breaches.
Increased security in the DBPLUS PERFORMANCE MONITOR:
Active Directory Integration: It ensures that only authorized users can access the system. This integration is fundamental to create a secure circuit around the tool, controlling metric access through a known and trusted structure. Enables precise management of user rights, and ensures that individuals only have access to data and functions related to their roles, such partitioning thus minimizes the risk of insider threats and data breaches.
Automatic logout to prevent unauthorized access: Idle sessions are potential hazards. For this reason, DBPLUS PERFORMANCE MONITOR automatically logs users out after a given period of inactivity. This proactive security measure significantly reduces the vulnerability of the system to unauthorized access. This acts as an automatic protection against potential vulnerabilities that could occur if the user's session was left unattended.
The principle of least rights in access to data. In accordance with security best practices, DBPLUS PERFORMANCE MONITOR is designed to ensure that monitoring activities are limited to system metadata, excluding direct access to user data. This distinction is critical to preserving user privacy and data protection, highlighting the tool's role in monitoring performance without going beyond the realm of handling sensitive data.
Encrypted data exchange: Security of access to data goes beyond the limits of the monitoring tool itself, including the integrity of data in transit. DBPLUS PERFORMANCE MONITOR uses encryption in the exchange of data with databases, protecting data from interception or manipulation. For Oracle, Oracle Database Native Network Encryption is used.
