Note that you will want to unlock the clocks when you are done with your testing. The device will unlock them on reboot,

If you’re writing logs to a file, make sure they are stored in a separate disk that has no impact on the running application (e.g., you can take a dedicated location from a separate server and mount it to the application servers). Also, understand the log frequency and growth pattern of the log files. Make sure you have a log rotation policy with proper file-naming conventions (e.g., append a timestamp to the file name when creating each log file) to keep log files at a fine length and quantity. Also, there should be mechanisms to back up old logs to safe locations and clean up the log storages regularly. Based on the industry you operate in, you can decide the backup expiration time (usually a few months or years) and, at the end of that period, destroy all the past log files.

I would wake up first thing in the morning and take a long jog. I know that no one would eye me suspiciously. I know that the local police that usually patrols my small village in Geneva, Switzerland won’t think I was trying to get away after robbing someone’s house.

[ec2-user@ip-XXX-XX-X-XXX logs]$ ls .. APIM_V2_I02-2020-11-20_04:38:43.log APIM_V2_I02-2020-11-23_02:05:35.log APIM_V2_I02-2020-11-24_04:38:17.log APIM_V2_I02-2020-11-27_03:28:37.log APIM_V2_I02-2020-11-27_12:06:45.log ...

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had apparently all been for this numb journey through fenland and fields on a golden summer evening with everything I knew about my life shattered into tiny pieces. It had all been such a waste. I couldn’t see in any of it even the ghost of who I had once known myself to be.

Later on that day, I’ll go for a walk in the park. I’ll be able to walk around freely, enjoying the fresh air, without a worry in the world. No one would clutch their bags closer to their chest when they see me, no one will stare at me as though I don’t belong.

After shopping, I would head to a restaurant for lunch. I know I’ll get the table right by the window that I love. I know I won’t have to negotiate to be seated there, my white privilege would do all the work for me.

[1000508] Request Body: { ”user_id”:”XXXXXXXXXX”, ”personal_details”:{ ”firstName”:”XXXXXXXXXX”, ”lastName”:”XXXXXXXXXX”, ”DOB”:”XXXXXXXXXX”, ”gender”:”Male”, ”proffessional”:”Software Architect”, ”industry”:”IT”, ”SSN”:”XXXXXXXXXX” }, ”address_history”:[ {”streetAdress”:”Street No 1″,”zipcode”:”XXXXX”,”state”:”CA”}, {”streetAdress”:”Street No 2″,”zipcode”:”XXXXX”,”state”:”NY”}, {”streetAdress”:”Street No 2″,”zipcode”:”XXXXX”,”state”:”AL”} ], ”card_info”:[ {”type”:”amex″,”card_number”:”XXXXXXXXX”,”credit_limit”:”XXXXX”}, {”type”:”visa″,”card_number”:”XXXXXXXXX”,”credit_limit”:”XXXXX”} ] }

In most cases, it is a legal requirement for systems to mask and/or encrypt the sensitive information of the users and the internal systems. Based on the industry you operate in and the geographical region you belong to, the compliance requirements may change. Therefore, do proper research and implement the correct procedures in your application. In some cases, before getting the application up and running, you may need to present the logging strategy to security authorities and get their approvals/certifications, too.

After my run, I would go do some grocery shopping. I’d be able to walk around the store freely – checking all the labels on different foods, taking my time. I know that there will be no security guard following me around the store, ready to pounce if they suspected I had shoplifted something.

I would jog freely without a worry in the world, knowing fully well that no one would ever stop me, or give me “the look” that unequivocally means, “What are you doing here?”

Writing custom log parsers and filters is a feature integrated in most log monitoring tools — aka security information and event management (SIEM) integration. Such parsers help us store the log data in more organized formats and querying becomes a lot easier and quicker. Also, properly organized log data can be fed into the log monitoring and anomaly detection systems to proactively monitor the system and forecast future events, too. These tools are so advanced that they provide a great visual experience via interactive dashboards based on time series and by real-time event analysis based on log data and other sources.

Almost all the log monitoring tools include features to define custom thresholds at certain levels. When the system hits those levels, the monitoring tool will proactively detect them with the help of log data and notify SysAdmins via alarms, push notification APIs (e.g., Slack Audit Logs API), emails, etc. Also, they can be preconfigured to trigger automated processes like dynamic scaling, system backup, changeovers, etc. However, if you invest in commercial software for log monitoring purposes, make sure you do a proper analysis because, for most small to medium software systems, this can be overkill.

Ideally, I wouldn’t need an article to explain how to do all of this. And honestly, you don’t need all of the explanation above. (But it’s always more interesting to know how and why things work, isn’t it?) All you really need is the single for() loop shell command, along with the optional approach of locking the clocks.

Having a central, accessible server/location to aggregate the logs is a very common practice among enterprise software developers. Usually, these log aggregators keep track of not only the application logs but also the other log data such as device/OS logs (e.g. Linux Syslog), network/firewall logs, database logs, etc. Also, they decouple the log files from the application servers and let us store all log data in more secure, organized, and efficient formats for a longer period of time. In some industries (e.g. banking and finance), it is mandatory to keep these logs preserved both locally and in central storage to make it hard for intruders and cybercriminals to access both locations and delete evidence of their activity at the same time. Due to this log redundancy, the mismatch between two locations can suggest red flags and help us prevent breaches from going unnoticed.

After locking the clocks, I had everything in place: a system that could reproduce my startup situation with reliable consistency, and a simple command-line I could execute that would return a stream of results. I was able to copy the results, paste them into a spreadsheet, and analyze them (by comparing my startup averages to various before/after situations I wanted to experiment with).