A selection of the top articles and videos from the last week on SystemsDigest.com. Don't forget to check back regularly for daily updates from around the globe.
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"I have no particular talent, I am just passionately curious"— Albert Einstein When was the last time you thought about optimizing your analytics toolset for curiosity? Yet what is the value of all the data and analytics in the world if not paired with human curiosity?
With the rise of cloud-based and distributed systems, messaging solutions appear to be everywhere. Rather than direct client-server communication, messaging and event-driven architecture allow loosely coupled components to communicate with each other and results in better scalability of the system.
In this blog post we use podtato-head to demonstrate how to load test kubernetes microservices and how Speedscale can help understand the relationships between them. No, that’s not a typo, podtato-head is an example microservices app from the CNCF Technical Advisory Group for Application Delivery, along with instructions on how to deploy it in numerous different ways: There are more than 10 delivery examples, you will surely learn something by going through the project. We liked it so much we forked the repo to contribute our improvements here.
AWS Lambda has been around for a few years now, and it remains the most popular way to experiment with serverless technology. If you're not familiar with serverless, it's a model of development in which managing, provisioning, and scaling servers is abstracted away from application development. Servers do exist in a serverless world, but they are completely managed by the cloud provider, allowing developers to focus on packaging their code for deployment. AWS Lambda is a type of Function-as-a-Service(FaaS) offering that allows code execution on demand in response to preconfigured events or requests. This post will introduce you to AWS Lambda and guide you on creating and deploying Lambda functions with Node.js and AWS SAM.
The world is entering a new age of technology. Low-code/no-code tools are already becoming a mainstay for many global teams. By going no-code/low-code, teams can now fill in the gap between the accelerating demands of application delivery and team skill sets. While these tools are nicely on their way to becoming mainstream for development, similar ones for test automation are pushing their way into the market.
Sound static analysis is a beneficial practice when developing software that needs to be safe, secure, and compliant. Here we discuss what makes sound analysis different, in terms of static analysis, why it is important, and how sound static code analysis works. Read along or jump ahead to the section that interests you the most: ➡️ Sound static analysis Free Trial
This is the last part of the Google Chrome Developer tools article. In this post we will share show you more of the new Developers Tools that Google has added to Chrome. Remember that Google Chrome Dev Tools is a set of powerful tools that help developers to build better webs. If you haven’t done it yet, you can read the first article of the series and the second one.
The world is entering a new age of technology. Low-code/no-code tools are already becoming a mainstay for many global teams. By going no-code/low-code, teams can now fill in the gap between the accelerating demands of application delivery and team skill sets. While these tools are nicely on their way to becoming mainstream for development, similar ones for test automation are pushing their way into the market.
Organizations worldwide are adopting open-source software to drive technological innovations. Testers look beyond the obvious benefit of cost while embracing open-source test automation tools. The reliability, transparency, flexibility are added benefits of choosing an open-source test automation tool. Saving time is saving money! Open-source tools save time reinventing the wheel to build your test automation framework from scratch. “There is a wide range of open-source test automation tools available in the market today, but which one to choose?”
There are a wide variety of e-commerce software platforms out there—Shopify, BigCommerce, Magento, WooCommerce, PrestaShop, Ecwid, and more—each with its own e-commerce features and functionality. But beyond the question of the "best e-commerce platforms," how can you enhance these platforms with third-party integrations? As we all know, integrating your e-commerce store with other apps and services helps you run your business more efficiently and effectively. But what are the best e-commerce integrations, add-ons, and plugins? To get a head start on this topic, see this article.
Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”). As a distributed database, your data is partitioned into “shards” which are then allocated to one or more servers. Because of this sharding, a read or write request to an Elasticsearch cluster requires coordinating between multiple nodes as there is no “global view” of your data on a single server. While this makes Elasticsearch highly scalable, it also makes it much more complex to setup and tune than other popular databases like MongoDB or PostgresSQL, which can run on a single server.
As a part of the research for our latest report about mobile product success in finance and banking, we talked to leads of mobile teams and asked three crucial questions. Check out the results!
The digital revolution has truly transformed modern organizations, embedding data and analytics in every business process and customer interaction. Advances in technology enable smart supply chains with predictive analytics, automated logistics for same-day delivery, and AI advisors that reduce medical errors. As this continues, workers in all roles will need new a new skill—data literacy—to collaborate with these systems and each other. Data and analytics can provide people with a clear understanding of a situation and their options, but only if they have confidence in their data literacy skills. And many do not.
The KPIs that apply to each product are as different as products come. There are infinite variables that come into play when determining what exactly a KPI should be. Because these KPIs are centered around customer journeys, they are all user-based and purposely omit technical-based KPIs (such as crashes or errors). In a recent article in our Product Analytics Academy, we covered what makes a strategy a good one when understanding and choosing relevant metrics to form KPIs based on product analytics. In this article, we explore the KPIs crucial to creating a satisfying and engaging customer journey.
There are many excellent authorization libraries for Rails, but did you know it's not that hard to build this functionality yourself? In this article, Renata Marques shows us how to use the Policy Object Pattern to implement access control in our Rails apps.
It’s always great to build something that makes money. The most successful businesses often find the easiest and most efficient ways to make money, while keeping costs and support to a minimum. After all, the best businesses and products are simply the ones that know how to build revenue. Many companies now look to monetizing their APIs as part of their overall monetization strategy. API monetization isn’t always easy though. It generally takes a lot of integrations, a fair amount of code and customization, and can also lead to a large support burden. This is especially true when billing issues arise. In short, there are challenges both during implementation, and once the billing system is up and running.
The proliferation of microservices has led to many new innovative approaches in the software world. However, building robust, quality APIs that consistently deliver the business outcomes you desire can be a complex task. It’s no wonder a recent survey of organizations adopting microservices found that nearly 30% of the respondents listed “API quality” as one of their biggest challenges. API-based applications don’t just come in one flavor. Each API format has a unique set of advantages and disadvantages, and choosing which to use depends heavily on your specific application requirements.
I’ve been blogging for about a year about the power of misinformation and our obligations as data professionals to combat it. In a March 2021 blog post, titled “The Power of Misinformation,” I outlined some of our biological instincts that make us susceptible to misinformation and how tricksters exploit them. In an August 2021 blog post, titled “Combatting Misinformation,” I highlighted efforts of academic institutions to teach data literacy skills, the strengths of thinking like a fact-checker, and some interesting ideas around “pre-bunking.”
When it comes to modern integration, the ETL or Extract, Transform, Load process serves as the backbone. Essentially, the ETL process works to efficiently migrate massive quantities of information or data into target data warehouses or data lakes. And with the ever-growing importance of data in business, handling and processing data efficiently is becoming far more important than ever. If you’ve been looking for an efficient way to work with or extract data sets that are too large or complex for traditional data-processing software, then Integrate.io is here to help. Ultimately, Integrate.io has all the answers when it comes to finding the best ETL tools for big data analysis.
