How Tracing & Monitoring Can be Useful in Microservices

Today most of the organizations are rushing into Microservices. But sometimes they are not able to understand some of the most critical components of a successful deployment with the help of microservices. Tracing and Monitoring are ranking high on this list. Leverage monitoring and tracing can improve your microservices but it is important to follow each and every step with proper understanding to get the most benefits out of it. A good Microservices Training will provide depth knowledge and guidance by clearing each step to involve in this industry and provide a good opportunity to get a better job. 

There will be no mistake that ever-increasing migrations to the microservices architecture will continue years after years. The flexibility, agility, and scale rewards of replacing bulky monolithic applications with decoupling services that DevOps teams, engineers and developers can deploy independently. But getting all the things in the right way is not always as easy as it looks. Many companies are working on this without even understanding some of the most critical components of a successful deployment. 

Groups of Microservices sometimes act as a Singular application, even after requests are routed through multiple services. Now, if any problem happens, developers need to sort out a way to trace the issue along that rather complex route. Even the systems that otherwise work well can include traceable issues like poor latency. So, to optimize microservices, developers need a way for tracing latency between services and collating service logs while also need to minimize logging overhead. 

Now, the main concern is that Logging, Monitoring and tracing are not the same things for microservices but these are often conflated. So, the difference needs to be understood – 

Logging – It is the first tool operators use to react to and investigate any service errors or security events. It mainly delivers microservice-level auditing capabilities. 

Monitoring – It allows the operators to understand service responses to requests by using proactive metrics. These include key-infrastructure metrics like Memory, CPU, and I/O as well as runtime metrics from the application like thread count, heap size, and memory management (garbage collection)

Tracing – Tracing will enable performance optimization by recording multiple physical requests to achieve a single application-level logical request across a chain of services. Tracing can capture any errors and exceptions that each request encounters including important Metadata and valuable timing information such as response code and headers. This is the main reason why Tracing has become a valuable diagnostic tool. 

While Logging is important, similarly tracing and monitoring is also very important because of the high utility they offer across multiple services. Let’s have a depth look in Tracing.

Tracing: Tracing mainly starts at the locations where a request enters into an application (which is often termed as endpoint) and then generates a unique Id for the requests. Each following service in the flow of traffic will add more data to the trace like the requests’ time of arrival and the total processing time. To control that data, operators can able to build alerting policies, service level objectives and visualize the call flow by using open source technologies like Elastic APM or Jaeger. In so many cases, operators will use the data collection by tracing to help supplement the understanding of their monitoring data.

For the most popular framework and runtimes, libraries and tools are obtainable to instrument tracing within a microservices application. Teams are also able to develop their own solution to cut off calls, add headers to downstream requests or attach metadata to trace traffic.

Tracking & Monitoring:

So, Monitoring and Tracing both are powerful methods whether used separately or together and developers can influence monitoring and tracing is entirely at their judgment. 

Many organizations today often start by bringing in monitoring metrics as it is easier to implement. Tracing may take greater effort to collect, store and analyze huge amounts of trace telemetry but it will also give a greater width and visibility depth. 

Monitoring and Tracing each can assist in detecting anomalous behavior in individual services.  Both can provide nice returns when building microservices applications that are reliable and in good performance. But it is also necessary to know each part of microservices by going through proper microservices training in Hyderabad or other parts of India or the world online or offline because proper training can only provide depth knowledge, practical experience, and high skill to work on this.

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