Ahoy, mateys!
My development journey of the first version of the geo-distributed messenger has ended. So in this last article of the series, I’d like to talk about multi-region database deployment options that were validated for the messenger. 

In 2017, Amazon faced an unfortunate four-hour outage, causing S&P 500 companies to lose $150 million. What was the cause? An erroneous command removed more servers than intended, causing system downtime. Although downtime is not an alien topic for developers, its impact can be deeply felt. Gartner estimates the average cost of downtime to be as high as $5600 per minute, which may build up to over $300k per hour. These are definitely scary numbers for any organization.
But there’s no need to panic just yet!

More often, claims like “data are the new oil” or “data is the new electricity” appear in board meetings, research articles, and presentations, highlighting the data’s power and potential worldwide. However, with such global attention to data developments, one type of data has been largely overlooked – zero-party data.
What Is Zero-Party Data and Why Is It Important?
The term “zero-party” data was first introduced by Forrester Research in 2022, defining this type of data as data that customers intentionally and proactively share with a brand. Zero-party data can include purchase intentions, preference center data, personal contexts, and how an individual wants to be recognized by a brand. With GDPR, CASL, and CCPA guidelines, along with Google phasing out the third-party cookies support by 2023, companies across the globe are having a hard time collecting data as these regulations directly impact their ability to run effective marketing campaigns and serve customized content. These data laws make it difficult for companies to understand customers and their brand aspirations.

Data visualization is required for the UI/dashboard of any program that focuses on data. It can be challenging to create accurate charts and infographics, but fortunately, many JavaScript libraries are available. However, there can be an overwhelming variety of options, each with advantages and disadvantages. You can use this article to choose a JavaScript data visualization library and learn more about its features.
Here are the most important factors to consider while choosing the right JavaScript data visualization library for your project. 

If we’re preparing to reformat an image for a specific purpose online, the new format we choose needs to accurately reflect the use case we envision.  Otherwise, we’ll inadvertently stifle our own efficiency and, most importantly, run the risk of slowing down our web page loading speeds.  The same can be said for most file format selections: we wouldn’t use Microsoft Word to create a spreadsheet, and we wouldn’t use Excel to write an essay (even though both technically can be done).
Choosing which image format to use requires us to think about the exact purpose we expect that file to serve. While the most ubiquitous formats we encounter online – namely JPG and PNG – provide well-known benefits for their respective use cases, they also come up short in certain key areas.  For example, while the JPG format is widely used on website pages due to its high degree of compression (allowing web pages to run faster), this degree of compression sacrifices a meaningful amount of image quality, which we may not always be willing to lose.  While PNG is a lossless format with built-in transparency features – perfect for displaying things like graphs, logos, and illustrations on a solid background – it notably lacks the ability to fit common online use cases such as image animation when the need arises.

In Angular, we use the ngTemplateOutlet directive to insert an external template into our component’s view. This powerful feature allows us to reuse templates and keep our code DRY.
The ngTemplateOutlet directive takes a template reference as its input. This template reference can be a local variable declared in our component’s template or a reference to an external template.

A successful and high-yield generating software is one that offers potential customers what they are looking for. It helps solve their challenges and meet their certain requirements. In a software product development process, the whole team puts their energy into ensuring that the developed product offers what they want to achieve.
During a software development process, you may need help finding a set of standard metrics to use in the process. However, you can choose from a range of effective KPIs and metrics according to your goals and long-term objectives. You may use the below-mentioned metrics for your project:

What Is Service-Oriented Architecture?
Service Oriented Architecture (SOA) involves splitting different parts of your application into services. That way, you can have services for Authentication, Batch-Processing, Managing Videos, Notifications, etc.
Separating core functionalities into services help your platform to scale appropriately. You also get to enjoy the benefit of the whole system not breaking down when one service malfunctions. In addition, you can improve each service without tampering with others.

It is clear today that the year 2021 will go down in the annals of IT security as the year when organizations really became aware of their inevitable dependence on open-source, and more importantly, of the risks posed by unsupervised supply chains.
High-profile security incidents like the SolarWinds, Kaseya, and Codecov data breaches have shaken enterprises’ confidence in the security practices of third-party service providers.

TL; DR: When Should a Team Stop Using Scrum?
When is the time to look beyond Scrum? After all, many things—ideas, practices, mantras, etc.—outlive their utility sooner or later; why would Scrum be an exception? Moreover, we are not getting paid to practice Scrum but solve our customers’ problems within the given constraints while contributing to the sustainability of our organization. Scrum is a tool, a helpful practice but neither a religion nor a philosophy. Which brings us back to the original question: Is there a moment when a Scrum team should stop using Scrum?
Setting the Context of Using Scrum To Your Benefit
When I ask whether there is a moment when a Scrum team should stop using Scrum, I am not referring to a situation in which using Scrum is useless, to begin with. For example, if you look at the Stacey Matrix below, you will notice areas colored in red—Simple and Chaotic: