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Lab Assignment 1.1-Philosophv of Monitoring This lab will focus on thinking through bow we develop a monitoring strategy. Before you begin moniroring you need to

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Lab Assignment 1.1-Philosophv of Monitoring This lab will focus on thinking through bow we develop a monitoring strategy. Before you begin moniroring you need to think about whar you need to know nbour a system to address porentinl issues, predict failures, and evaluate trads. Thas lab will look at questions regarding monitoting design and data analysis. By answering these quaestions students will prepare to analyze moniuss created larer in class and answer questions regarding best practioes for monitoring. Objective: The student will answer questions related to discussion points frum the lecture, readings, and data presented in the lab. The stusient may sosculate as part of the reviewing munitaring data is creating a hypothesis about what is happening then comparing data to the bypothesis to see if the data supports it Answer cach question completely following instructions for each. Task 1: Monitoring Questions Answer the belaw questions with coxmplete answers. Remember, you can erulate abut what you are seeing, Tnclude why you believe yoar answer is possible. NOTE: Answers should be at least two complete sentences with three to four sentences being more likely for a complete answer. 1. Why is it important to understand all the dependencies that make your system run regarding moailaring? 2. Explain a network dependency that sbould be monilored that if unavailable could impact a weh application? 3. What types of dependencies may require a service level agreument? A service level agreement is a guarantee that a service will remain availahle within thresholds. Think about the music streaming service we described in the lecture. What services should bave a service level agrecment? 4. Revien the In The Nens Slide from lecture. What data coald have boen used to predict the influx of traffic? Can a webrite be infinitely elastic based on required lead? Why ar why not? 5. Look an the below charl. When do the peaks happen? Speculate wa the type of service that may have user's login that could create this type of trend. What type of service may have this kind of login treed? 6. Using the chart fram question 5 during what months would it be best to perform maintenance on the systems based on the user logins? Which month would he best? Ise the data to explain why. 7. Look at the chart below. The chart represents Web Servers with identical configurations (Web1, Web2, Web3, and Web4). Each server has a conterpart on the West Coast and East Coast. Based on the chart below, is there an even balance between the web servers? Are the servers located on one coast more utilized that the other? Why or why not

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