Continuous Monitoring: Everything you need to know

Last Updated

DevOps has become the most effective software development strategy in the past few years. Previous methods used by businesses to assess their software operations often provided unreliable outcomes. This resulted in security threats that went undetected, leading the companies to pay heavy compliance fines. However, the incorporation of the DevOps lifecycle in the software development process has significantly eliminated such defects. Since it has a continuous delivery and deployment model, the efficiency of the companies has increased multifold and the main reason behind continuous delivery is continuous monitoring. Let’s deep dive into this essential part of the DevOps lifecycle.

What is Continuous Monitoring in DevOps?

Continuous Monitoring in DevOps

Continuous monitoring helps companies review and monitor their processes for identifying any security risks and non-adherence to standard performances throughout the DevOps lifecycle. The biggest benefit of Continuous Monitoring is it helps solve the issues in real-time and gives relevant insights to the developers. Also known as Continuous Control Monitoring (CCM), this process improves the security throughout the company operations as well as the health of your IT infrastructure.

Types of Continuous Monitoring in DevOps

Companies usually check certain metrics to detect the risks and mitigate them in order to prevent any infrastructure or operations issues. To implement such security checks, companies monitor error codes, server-related issues or customer activities, etc. Here are some of the monitoring types that are typically conducted to ensure security threats stay at bay.

Application Monitoring

Application monitoring helps in gauging the overall health of an application. This includes – application performance, runtime, log checks, and security level of the application with the help of application monitoring tools.

Network Monitoring

This kind of monitoring involves tracking networking components like servers, routers, switches, and VMs. Network Monitoring Systems are generally used to measure the components of performance to check network failures or downtime.

Database Monitoring

Database monitoring as the name suggests includes monitoring of database connections, performance, run time, CPU or system errors, user sessions, buffer cache, etc.

Security Monitoring

Security Monitoring includes real-time monitoring of collecting data and analyzing it for security threats.

What are the benefits of Continuous Monitoring?

Benefits of Continuous Monitoring

Continuous monitoring enables companies to keep a check on their networks, applications, softwares, and other infrastructure. Since it provides critical data in real-time, it helps organizations in taking critical risk management decisions. There are ample benefits that continuous monitoring delivers. Some of them are mentioned below:

Quick threat management

Continuous monitoring mitigates security issues more quickly by providing immediate alerts to the threats. Since the system is monitored constantly, the team is able to respond to such alerts rapidly. This reduces the prospective damage leading to application failure.

Performance catalyst

Continuous monitoring eliminates the issues of applications and protects businesses against losses. The cybersecurity performance indicators (CPI) provided by monitoring tools can help identify loopholes and security gaps.

Provides network transparency

Continuous monitoring helps in collecting and analyzing critical data automatically and makes sure to report if any event is missed by the system. It gives insight into the possible cyber threats to remediate the system faults and risks immediately.

Eliminates periodic testing

Continuous monitoring has eliminated the need for test wrist straps and to log the results. By utilizing the procedure of continuous monitoring, customers are ensuring that their products are manufactured in an ESD-protected environment. Moreover, this process doesn’t require daily maintenance of test logs and significantly reduces the time consumed in daily tests.

Reduces the system downtime

Technical glitches in the application can lead to prolonged system downtime and service interruptions. Continuous monitoring eliminates such performance issues because the software is being monitored all the way and all the issues that come up are immediately resolved.

Risk management with continuous monitoring in DevOps

Continuous monitoring plays a vital role in the Risk Management Framework (RMF). For the authorization of systems and ongoing assessments, RMF depends on Continuous Monitoring. For holistic risk management, Continuous Monitoring tools must be selected only after the risk management plan is in place.

It is essential to understand the level of damage an organization can resist, which factors have high-value risk, to what level the confidentiality of data must be maintained, or how security breaches or software and hardware issues can affect the organization.

Best practices to implement continuous monitoring

Just like continuous integration and continuous development, Continuous Monitoring is also a part of the DevOps lifecycle. It enables organizations to offer healthy, high-performing, and reliable applications as it continuously moves from developers to production to customers. However, to implement continuous monitoring it is necessary to take measures which are as follows:

  1. Enable web applications and services monitoring for complete observation.
  2. Monitor all relevant components of infrastructure like servers, security, networks, performance, etc.
  3. Maintain separate instances for monitoring multiple deployment environments in order to maintain data relevancy across all platforms, be it apps or infrastructure.
  4. Prepare workbooks with metric charts, log queries of guides for troubleshooting basic problems.
  5. Configure actionable alerts for any possible issues or failures.

Best DevOps tools for continuous monitoring

Here are some of the most popular and highly rated DevOps continuous monitoring tools that provide accurate risk alerts:


AppDynamics is a continuous monitoring tool that monitors cloud computing environments and on-premises environments. It supports infrastructure, application, and network monitoring.

Akamai MPulse

Akamai MPulse collects and analyses behavior data and experiences of users visiting the application or website. It can capture performance metrics and real-time user activities from each user session by adding a snippet to the page it needs to analyze.

BMC Helix Operations Management

BMC Helix is an automation tool that follows a SaaS-based business model. This tool provides predictive alerts to monitor the performance of hybrid and on-premise environments.


Librato gives real-time operations analytics for creating metrics for real-time aggregation, transformation, alerting, anomaly detection, etc. It also gives notifications on the completion of activities on multiple metrics.


Splunk searches, monitors, and analyses machine-generated log files. These log files are indexed in such a brilliant way in a central repository that it simplifies information access.

TaskTop Integration Hub

Tasktop Integration Hub takes care of software delivery integration requirements and contains all the tools in an organization in a single application.


Kibana is another analytics and visualization tool that searches, views, and interacts with the data stored as log files. By analyzing the log files, Kibana helps identify issues in the production. Moreover, it has a simple setup procedure and is easy to use.


Though none of the systems are 100% safe, incorporating continuous monitoring reduces that risk by 97%. Continuous monitoring helps you understand business objectives which can then help determine the correct continuous monitoring solutions for your business requirements. Therefore, in order to implement CM effectively, ensure that the correct monitoring tools are used and the best practices are followed diligently.

Get Quote

Meenakshi Kalyani

Meenakshi is a writer at OpenXcell. Her writing is a reflection of the deep knowledge that she has of the silicon world. Corroborated by intriguing facts and innovative ideas, her articles present every aspect of constant technological evolution. When she is not penning, you will find her painting, traveling, or introspecting her emotions to craft a piece on @sutured_emotions.


Software Development - Step by step guide for 2024 and
beyond | OpenXcell

Learn everything about Software Development, its types, methodologies, process outsourcing with our complete guide to software development.

Headless CMS - The complete guide for 2024 | OpenXcell

Learn everything about Headless CMS along with CMS, its types, pros & cons as well as use cases, and real-life examples in a complete guide.

Mobile App Development - Step by step guide for 2024 and beyond | OpenXcell

Building your perfect app requires planning and effort. This guide is a compilation of best mobile app development resources across the web.

DevOps - A complete roadmap for software transformation | OpenXcell

What is DevOps? A combination of cultural philosophy, practices, and tools that integrate and automate between software development and the IT operations team.



Remember the days when grocery shopping meant battling crowded places and overflowing carts? Those days are like distant memories now. Because apps like Instacart have taken over with new surprises…

23 Best Apps Like Instacart: Unlock a World of Fresh Options

“AI in fintech is expected to go from 44.08 billion USD(2024) to 50 billion USD in 2029, with an expected growth rate of about 2.91%” (Statista 2024)  Suppose you enter…

Role of AI In Fintech: Its Use Cases, Benefits And Challenges

Getting an insurance policy no longer requires a lengthy process and physical visits to the office. Through an insurance mobile application, you can access everything at your fingertips. Insurance businesses…

Exploring Insurance Mobile App Development: From Vision To Reality