Articles

Introduction to AWS Config: Simplified Cloud Auditing

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Modern cloud environments are ever-changing, and so is the nature of cloud computing. The growing cloud assets accompany the attack surface expansion problem for organizations, which unveils the need for visibility of cloud resources. AWS Config addresses that exact demand. It can be challenging to understand resources within your infrastructure like:

  • Seeing what resources you have
  • Understanding your current configurations
  • Knowledge of configuration changes and change histories
  • Assessing if your resources are compliant with specific governances controls 
  • Having accurate and up-to-date audit information

Depending on the size of your AWS resources or deployment, overcoming these challenges and obtaining this information can become time-consuming and budget-intensive unless you use resource visibility and auditing tool like AWS Config. 

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Secure Your Web Apps With an API Gateway

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API management solutions, also known as API gateways, are a must in the day and age of APIs. However, once you’ve set up such a gateway, you can use it for different purposes unrelated to APIs. Today, I want to show you how to improve the security of web apps.

Prevent Sniffing

Browsers are fantastic pieces of technology that try to make the life of users as comfortable as possible. However, the balance between ease of use and security may sometimes tip on the former to the latter’s detriment. For example, if an HTTP response doesn’t set the content type, the browser may try to infer it:

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The Open Source Way to Rightsize Kubernetes With One Click

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Rightsizing resource requests is an increasing challenge for teams using Kubernetes—and especially critical as they scale their environments. Overprovisioning CPU and memory lead to costly overspending, but underprovisioning risks CPU throttling and out-of-memory errors if requested resources aren’t sufficient. Dev and engineering teams that don’t thoroughly understand the live performance profile of their containers will usually play it safe and request vastly more CPU and memory resources than required, often with significant budget waste.

The open source Kubecost tool (https://github.com/kubecost) has had a Request Sizing dashboard to help Kubernetes users bring more cost efficiency to their resource requests. One of the tool’s most popular optimization features, the dashboard identifies over-requested resources, offers recommendations for appropriate per-container resource requests, and estimates the cost-savings impact of implementing those recommendations. The dashboard utilizes actual usage data from live containers to provide accurate recommendations. However, leveraging the dashboard has included some hurdles, requiring users to manually update YAML requests to align resource requests with Kubecost recommendations or introduce integrations using a CD tool. 

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Why Do You Need Managed AI?

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Today no less than 60% of companies are either exploring the possibilities of adopting artificial intelligence or trying to realize its potential to transform the way they do business. The problem is that a significant portion of them (one-third) struggle to produce substantial change with AI.

The lifecycle of an AI solution usually consists of problem definition, data collection, model building, model fine-tuning, and applying the solution to solve a specific problem. Various experts build the solution to solve business problems. Still, a problem solved by a data scientist does not automatically translate into a constant stream of actual value for the business. Once deployed to production, the AI solution cannot be left as-is. Like any other system, it requires continuous maintenance. However, any AI solution’s maintenance differs significantly from the maintenance of other systems (e.g., microservice-based applications). The performance of any AI solution can be affected by many factors, and if the maintenance work is not done, the solution will cause problems instead of solving them.

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14 Product Success Metrics to Measure Software Development Performance

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There are several software products on the market that are used for their varied applications. This software makes the different tasks easier and allows for increased efficiency and performance. Development of any software is a tedious and long process, and it undergoes a series of quality and performance tests before its release and use. With the development in technology, the software gets upgraded with the latest updates.

As the technological world evolves, so do user expectations for handling applications; it is essential to test the performance of the applications before deploying them on a large scale.

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Should You Invest in a Digital Transformation Office?

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Undertaking a digital transformation journey is easier said than done. Efforts to transform an organization often face significant challenges, including integration of legacy platforms with modern technology stacks, the skill sets required for implementation, and an organizational structure that can communicate and embrace change. According to a 2020 study by the Boston Group, 72% of digital transformations fail, falling short of their objectives, and are often met with radical consequences after. 

With so much at stake when it comes to transforming an organization, Adecco Group’s Sabine Laute suggests that a dedicated transformation office could be a viable solution.

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What Is Text Classification?

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What Is Text Classification?

Text Classification is the process of categorizing text into one or more different classes to organize, structure, and filter into any parameter. For example, text classification is used in legal documents, medical studies, and files, or as simple as product reviews. Data is more important than ever; companies are spending fortunes trying to extract as many insights as possible.

With text/document data being much more abundant than other data types, new methods of utilizing them are imperative. Since data is inherently unstructured and extremely plentiful, organizing data to understand it in digestible ways can drastically improve its value. Using Text Classification with Machine Learning can automatically structure relevant text in a faster and more cost-effective way.

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Building a REST Service That Collects HTML Form Data Using Netbeans, Jersey, Apache Tomcat, and Java

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The Jersey project is very well documented so it makes it easy to learn REST with Java. In this article I’m going to build two projects. The first project will be a very simple HTML page that presents a form to the user and then submits it to a REST project residing on the same server. The second project will be the REST part.

For this article I used the following tools:
1. Netbeans 7
2. Apache Tomcat 7
3. Jersey
4. Java

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Quiz: The Super-Difficult Website Speed Quiz

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Users expect websites to load quickly. As a result, companies like Amazon and Target spend millions of dollars optimizing their sites to make them load as fast as possible because there is a direct correlation between site speed and conversions.

Websites typically don’t have load bars, so a user waiting for a site to load cannot know that it will be one more second or even that the site will load at all.

The best load time for a website is 0 seconds, an instantaneous load. However, that’s not possible with current technology. So how fast is fast enough? What will users really accept? Take our website speed quiz and see if you know…

Featured image via Unsplash.

Source

The post Quiz: The Super-Difficult Website Speed Quiz first appeared on Webdesigner Depot.

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Writing Your First Python GitHub Action

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We wanted to share our findings and experiences from creating our first GitHub Action. In this article, you’ll learn how to write a simple GitHub Action in Python.

Brief Overview of GitHub Actions

In 2019, GitHub released its own CI tool called GitHub Actions. According to GitHub, Actions make it easy for developers to automate tasks within the software development life cycle (SDLC). The native ecosystem integration enables projects to be automated from the moment developers commit code for deployment into production.

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