You might be traveling. You might break into fields. You might try to level up with the next show. You might be ready for the manager’s role. Regardless of the reason, you wonder what you need to learn back for your job interview and the task of “homework”. Even with years of experience, every new show expects you to answer various types of Devops interview questions. You are lucky: Logz.io can help a little on logging and monitoring network performance interview questions.
We can give you a good perspective on what the world search for log management, but our team has experience beyond logging and metric. Even though there are high probability questions, it will be more specific, this will give you a good idea about what to expect. You will also find examples of follow-up or related questions below:
1. How do you know when you have enough logs?
The interviewer will measure your understanding of what makes the log efficient. If you define goals and then focus on certain data to insert, you minimize the cost of storing the data. It also makes parsing information easier – and faster.
The interviewer may enter into more details asking questions like, “around the event where you will set the warning,” or “what should the frequency of the warning?”
2. What should the Siem tool be provided?
There are certain consensus requirements for the Siem system.
The idea here is to get your security instinct. Beware of the things expected from Siem: handling sprawl tools, data inputs and falitive positive filter for example.
If you have experience managing SIEMS, continue more details to show your ability to navigate the tool. Siems, especially the initial spread, complicated.
There are also certain problems that characterize modern challenges to make Siem work: more data than before, increase integration and fire between platforms, and deal with scale problems in a non-security manner.
3. How do you use the log to solve the Kubernetes problem?
Kubernetes or Dashboard Kubernetes has two main log types: log application and log cluster. The log cluster will provide insight into events such as deployment errors.
This can be related to many basic questions like ‘What is micracemary service?’ And ‘what are the different parts of the Kubernet cluster’ for “How do you run the application from the Docker Labor Container?” And “How will you do a debug docker?”
4. How does X work with elastearch? How do you run y with a deer pile?
Integration will be critical, especially in the world of monitoring. In our case, we focus on pile of deer (of course, there are other tools such as Prometheus and Graphy to consider). Preferences are different from organizations to organizations to import logs or metrics from various sources to elastic research or several alternative TSDs and then to visualizer which may not be certain Kibana or graphan.
5. Tell me which tool you often do.
This is similar to points about Kubernetes above, but somewhat more general. Various companies work with various programs with various approaches to make it work together. Of course, all these platforms need to be monitored.
HR and lead engineering do not expect each candidate to have explicit experience with the platform. Instead, they want to see that you can learn the ins and outs of certain systems. If you say you have experience with graphy but not kibana, then you should expect a lot of questions, deep questions about graphy.
Knowing the road around one environment shows the interviewer you can learn to walk in another environment in the same way.
6. Explain site blackouts and how you deal with it.
There is no definite way to deal with blackouts, but clear interviewers in case we want to hear you navigate the system log and metric. Even if you haven’t dealt with a severe situation before, you will want to have a procedure in place.
In addition, you can show your awareness of the problem with how much you have prepared for the scenario. If you can show that you don’t ignore the possibility of disaster blackouts, the interviewer will see you take a job seriously.
7. Your database runs too slowly. How do you speed it up?
There are several standard places to check you can register in this answer – for example, network latency, application processing time or SQL, etc. – but this is also an important moment to show your awareness of log and monitoring. While the first instinct might be to check demand, you can offer detailed answers by distinguishing between various types of problem solving methods depending on the database. This is an opportunity to enter detailed knowledge about your own experience with a certain database.
8. How do you debug Kubernetes or Docker?
Obviously related to one of the above, the debugging of Kubertnetes Pods or port labor containers might make the most of your departmental headache in the future. There are a number of approaches approaches that prefer. In this case, while providing details about certain methods will show experience and competence, it may still not correlate with your interviewer’s method or prospective preferred by the employer. This is still okay. Repeating your flexibility to use different methods (especially when someone doesn’t work). For something like this, pay attention to two or three different options that you can explain briefly. Logz.io has several content about the problem of searching for debugging information on the Kubernetes log.