Defect/Bug Management

who doesn’t love bugs? they are small yet beautiful…ly ruining our life 🙂. Bug is inevitable, choosing 0 Bug as your OKR/KPI is an insane choice, it’s not impossible but it will astronomically hit your productivity & cost, your best bet is to manage it properly. So how are you organizing and managing these bugs? Assigning the right priority(by assessing its severity) is the key, inspired by a couple of references, here is how I typically categorize them.

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On Observability

Running an application without having a proper monitoring is akin to driving without a dashboard. You don’t really know if you still have enough gas, or if you are within the speed limit, or how far are you till your next oil change. There are many uncertainties involved in running an application. Monitoring is instrumental in getting first hand awareness on possible incident or help predict that an incident is about to happen so we can prevent it.

This post outlines some observables that we can monitor and setup alert for along with some recommended practice.

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Software Fragmentation – The Golden Path

There is a direct correlation between teams that give their engineers autonomy to own their technical decisions and the team’s ability to hire and retain A-class or Senior talent. There is a tradeoff, but an acceptable level of chaos in exchange for a stronger sense of individual/team ownership is usually the right one and leads to higher performing teams in the long run – at least this is what I’ve been seeing if a couple of companies in Indonesia.

So, how to make sure these “chaotic” things are manageable and actually give the benefit to the team?

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Manager Manifesto

Manifesto

  • Giving critical feedback or having difficult conversations
  • Assessing whether a product is ready for launch
  • Designing and executing a realistic roadmap
  • Setting good goals with accountability
  • Building viable new products
  • Managing a team during “war time” versus “peace time”
  • Defining quality
  • Determining who to hire
  • Understanding people’s skills, strengths, and growth trajectories
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Engineering Initiative, where to start?

Performance improvement we must do, but where to identify it? Sometimes this kind of things might not obvious as they are, as experience and frame of reference from each of the individual engineer within your team might vary.

This post intended to share questions and framework that I’ve been using (and pushing) to my team to give cue and where to start on finding room for engineering improvements.

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Excerpt on Regulated Data : Amount, Duration Data Holding, and Archiving

Data subjects are entitled to request the ESO delete their PII, and the ESO must do so accordingly. If the data subject does not request such deletion, under MoCI Regulation 20, an ESO shall comply with a five-year minimum statutory retention period or as otherwise required by the relevant supervisory authority. This retention period is calculated from the moment the data subject terminates the use of services of the ESO. 

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Engineering North Star Metrics

In the world where all of the metrics are available to be fetch and tracked, we end up on too many things being measured or worst, too little things that are being measured. It is impractical to make smart decisions based upon all available data and impossible to make any decision without data, and virtually impossible to make every metric as a priority worthy of improvement. The first challenge is deciding on what to measure, this article is intended to propose following metrics as the de jure metrics that being tracked and constantly improved going forward within tech team that I led so far.

The 4 Layers of A Team
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Guidance on Creating New Service

something that we definitely don’t want to happen to us 🙂

At any tech company, we work with a lot of legacy systems and monoliths. As engineers, our first instinct would be to decouple these monolithic applications into microservices architectures so we can have cleaner code and an easier system to maintain. While this is definitely a good goal to have, sometimes we focus too much on the technical side of things (architecture, scalability, implementations) and lose sight of the bigger picture. Hopefully, this document can be guidance on other aspects we should think about.

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On Regulated-Tech in Indonesia

Note that this document created in mid-2020 where on 24 January 2020, President Joko Widodo signed the Personal Data Protection (PDP) Bill which is currently being finalized by the Indonesian House of Representatives (DPR). Upon finalization of this PDP Bill, Indonesia will become the fifth country in ASEAN to implement regulations regarding Personal Data Protection. 

For the existing Personal Data Controller, there will be a two-year period before the PDP Bill is fully effective and achieves full compliance.

The protection of personal data in Indonesia was initially focused on protection from a privacy perspective. Under the Indonesian Constitution,  the concept of privacy rights has been recognized and protected as part of the general concept of human rights. With the need to cover the sector yet to be regulated, specifically, that of the internet and electronic transaction-related activities, Law No. 11/2008 on Electronic Information and Transactions as amended by Law No. 19/2016 (collectively, the EIT Law) was passed. Even though most of the provisions of the EIT Law focus on electronic transactions, there is a notable provision that deals with personal data in the EIT Law. 

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