Systems | Development | Analytics | API | Testing

2021 demonstrated the precariousness of our global supply chains and the potential cost to business. The Suez Canal blockage held up around $9.6bn of trade each day, while the true impact of the pandemic won’t be known for years. Many of us have also felt it during our weekly shopping and the disappointment when one of our favorite items is replaced by cardboard cutouts instead of the foodstuff themselves.

In the era of big data, the world is producing more information than it can consume. Every minute of the day: Smart companies took notice of the growth in data and turned it into an opportunity for company growth. But having a lot of data is just part of the recipe. You also need to have technical data experts, who can turn the raw data into manageable operations that deliver revenue-generating insights. This led to the job roles of the data engineers and data scientists, that joined data teams.

Microservices architecture. Many organizations today recognize it enables faster and easier software changes over more traditional monoliths. Microservices have become the backbone for how organizations develop cloud-native applications – programs that run independently in containers designed for cloud computing architectures.

Traditional approaches to enterprise IT – typically reliant on time-consuming, manual processes – have been overtaken in recent years by more agile, efficient, outcome-orientated models. And with that shift putting an emphasis on faster cycles of development for software products, DevOps and Agile methodologies are now essential for any business looking to succeed with a meaningful digital transformation initiative.

Having a firm understanding of Google BigQuery Data types is necessary if you are to take full advantage of the warehousing tool’s on-demand offerings and capabilities. We at Hevo Data (Hevo is a unified data integration platform that helps customers bring data from 100s of sources to Google BigQuery in real-time without writing any code) often come across customers who are in the process of setting up their BigQuery Warehouse for analytics.

The exact procedure to do a performance test varies between projects and organizations. It depends what parameters are most important to the business or application under test. However, the general goals largely fall under the same broad category. Below are the steps which are followed to conduct a performance test-

S3 is an excellent way to store files scalably and reliably. This article by Jeff Morhous will show you how to use S3 to store files uploaded to a Rails app.

Learn how marketing experts analyze Google Analytics’ exit pages to optimize the conversion rates on their most important landing pages.

In this episode of Kongcast, Jeff Taylor, senior product manager at Okta, tells and shows us how to speed up microservices security and take the burden off developers by managing auth with an API gateway.

Over the past decade, a technology revolution has led to the growth of smart manufacturing. This trend was enabled by the increased availability of cloud computing resources, rapid mobile device proliferation, and the adoption of Industrial Internet of Things (IIoT) devices. These solutions benefit manufacturers in many ways, but they also bring challenges. Often, companies implement technologies to solve individual problems rather than bringing them into a harmonious ecosystem.