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C# Exception Handling Best Practices

Welcome to Stackify’s guide to C# exception handling. Why is this topic so important? In modern languages like C#, “problems” are typically modeled using exceptions. Jeff Atwood (of StackOverflow fame) once called exceptions “the bread and butter of modern programming languages.” That should give you an idea of how important this construct is.

What Are Microservices? What You Need to Know

Microservices are small, independently-running applications that perform a single function for a larger application or IT infrastructure. By loosely connecting a number of them together, developers create a pluggable architecture that facilitates the process of updating, upgrading, and scaling the application in response to changing requirements.

Revealing the Intelligence in your Data with Talend Winter'20 (part 1)

One of my favorite Talend customer success stories is the International Consortium of Investigative Journalists (ICIJ). I love this story not only because they transformed investigation journalism with data, won the Pulitzer prize for the Panama papers, and helped the public to recover billions of dollars lost to illegal tax evasion.

The Retail Renaissance - How data and analytics are reshaping retail

The retail landscape is in the midst of a dramatic, data-driven renaissance. New tools help to build new connections — between consumers and retailers, and across supply chains. Data analytics and machine learning further these connections to better understand and predict customer behavior and improve demand forecasting. In this emerging era of smart retail, organizations have access to a range of powerful new capabilities and tools.

How to accelerate your business growth using data analytics

Raise your hand if you’ve ever heard that “data-driven companies make more money”. McKinsey started beating that drum half a decade ago. Financial Times wrote extensively about the topic. Google even commissioned a multi-year study from Boston Consulting Group (BCG), which showed that “best-in-class digital marketers benefit from 1.4 times greater cost benefits and up to 2.5 times revenue impact” after implementing analytics to drive their business growth.

Elixir Package 1.12: Phoenix 1.5 Support & Better Channel Error Handling

Great news for all the Elixir alchemists, we’ve just released AppSignal for Elixir package version 1.12.0 which adds support for the upcoming 1.5 version of the Phoenix framework, and improves in-channel error handling. If you’re not an AppSignal user yet, make sure to check out the product tour and see how errors, performance, host metrics and triggers all come together in one tool. Phoenix 1.5 isn’t here yet, but AppSignal 1.12 is ready for it.

Why Pry is one of the most important tools a junior Rubyist can learn

As programmers we often have to mentally run code. To imagine how a program will behave given certain inputs. This is hard enough for experienced developers. But for juniors? It can seem impossible. In this article, Melissa Williams argues that pry is an invaluable tool for junior rubyists because it allows them to see exactly what is going on as their code is run.

A Complete Guide to Rails Caching

Application performance is always a concern when building in the modern, competitive web and mobile space. At Scout, it’s why we created application performance monitoring tools in the first place. That said, there are steps you can take to build a more performant application. If you are using Ruby on Rails, caching might be one of the best tools on your belt to build a better application.

Logit.io Announce New Dashboard Design

We're happy to announce that we've just launched our newly designed dashboard for our logs & metrics platform, allowing DevOps & security professionals to see their vital metrics quicker than ever before. Our team has been keen to respond to the needs of our users through undertaking dedicated research which informed the creation of this latest update to the platform's design. This new design provides improved real-time feedback to users managing & creating new ELK stacks.

5 Steps to Making Better Business Decisions with Machine Learning

Most of the day to day work for knowledge workers is spent helping the business make better decisions, like choosing whether it’s worth expending the effort (or actual money) to achieve the desired business goal. The example I often use when talking about ML is churn prediction (and I’m starting to think I’m overusing it now). It costs money to retain a customer who is thinking of moving, but this is less than the cost of getting new customers.