Systems | Development | Analytics | API | Testing

Four Frameworks for Optimizing Cloud Strategy and Deployment

“40% of all enterprise workloads will be deployed in CIPS [cloud infrastructure and platform services] by 2023, up from only 20% in 2020.”.As the cloud permeates every aspect of business, decision-makers must make critical choices regarding infrastructure at every turn. Their answers will ultimately determine if every part of an organization is empowered to move forward in a cohesive way to reach business outcomes.

Run your jobs faster with Keboola's new feature: Dynamic Backend

Data transformations are the backbone of smooth-running data operations. Transformations are used in data replication between databases, data migration from cloud to on-premise, and data cleaning (aggregations, outlier removal, deduplication …) aka all the good stuff that goes into extracting insights from data. But as any data professional can attest, transformation can also be a painful bottleneck. Think scripts that run for an entire day and finish just before the next scheduled job.

Can you achieve self-service analytics amid low data literacy?

Customers wanting to drive self-service analytics as part of creating a data-driven organization will often ask, “Can we achieve self service analytics, when our work force has low data literacy?” Or they might say they are not ready for self-service analytics, incorrectly thinking they need first to improve data literacy. But the two are inextricably linked. I liken it to teaching a child to read without giving them any books on which to build their skills.

Why Error Monitoring is an Essential Part of Continuous Testing

In the modern era of DevOps-driven development, teams are increasingly pushing smaller and smaller increments of code into production faster and faster, often leading to inadequate testing. To assure and improve the quality of software in production, many developers are now benefiting from a new test methodology that combines functional testing with error monitoring in production.

An Ultimate Guide to Node.js Logging

Logging helps developers in reducing errors and cyber-attacks. The application is designed to be dynamic. We can't always predict how an application will react to data changes, errors, or program changes. Logging in allows us to better understand our own programs. For all applications, an absolute logging solution is essential. A good logging system increases the application's stability and makes it easier to maintain on the production server.

How to Make a Build vs. Buy Decision for a Software Solution

Buying software is often the answer for busy engineering teams in search of a quick solution with minimum aftercare. But while your team may be sure of the problem, how do you go about searching for a product to fix it? Far from being the 'easy option', there is a lot you need to consider before you invest in a bought solution – user experience, cost comparisons, and support features to name a few. Let’s explore some of the considerations when making a good decision.

Low-Risk Releases

The latest video in the Rollbar Solutions series, Low-Risk Releases, shows how Rollbar can be used to improve the release process for DevOps teams. Traditionally, releasing software has been a pain point for these teams; code changes made to higher environments provide opportunities for bugs to rear their ugly heads and affect customers directly. Rollbar's real-time monitoring and intelligence solutions help you find and fix these issues more quickly and effectively, reducing MTTA/MTTR metrics and thus the overall customer impact of these issues.