The adoption of multi-cloud environments has increased as businesses recognize their numerous advantages. A company is considered multi-cloud when it leverages cloud services from two or more providers for its applications and operations. Unlike a single-cloud setup, multi-cloud systems often involve the integration of both private and public clouds or a combination of the two.

Although important to see alternatives to iframes, iframes are still a valuable and commonly applied method for successful embed frameworks. And even if considering alternatives, iframes help to understand possibilities, along with design and technical details to consider for a successful platform. There’s more to embed Frameworks than letting partners appear in your interface.

Whether you’re a Software Developer, DevOps Engineer, or Quality Assurance (QA) specialist, mastering API testing with tools like Postman is essential, especially during development. API testing using Postman makes it possible to increase security, provide better user experiences, and minimize the possibility of losses through bugs or vulnerabilities.

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.

Table of Contents SQL (Structured Query Language) is one of the most commonly used tools for transforming data within ETL (Extract, Transform, Load) processes. SQL transformations are essential for converting raw, extracted data in CSV, JSON, XML or any format into a clean, structured, and meaningful format before loading it into a target database or cloud data warehouse like BigQuery or Snowflake.

Table of Contents Python is one of the most popular programming languages used in data engineering, particularly in the ETL (Extract, Transform, Load) process. Its flexibility, extensive libraries, and ease of use make it a great choice for building and optimizing ETL pipelines.

Table of Contents Amazon Redshift has become one of the most popular data warehousing solutions due to its scalability, speed, and cost-effectiveness. As the data landscape continues to evolve, businesses are generating and data processing increasingly large datasets. Efficient analysis of these datasets is essential to making informed, data-driven decisions. Amazon Redshift allows companies to extract meaningful insights from vast amounts of structured and semi-structured data.

Testing-as-a-Service (TaaS) is rapidly gaining popularity growing at a compound annual growth rate (CAGR) of 14% from 2024 to 2030. Organizations adopting TaaS report up to 30% cost savings compared to traditional in-house testing. Testlio October 5th, 2024 Discover Outsourced Testing Best Practices Engineers and product managers face the challenge of balancing speed, quality, and cost in software testing as technology continues to evolve rapidly.

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

Transactions-per-Second (TPS) is a valuable metric for evaluating system performance and is particularly relevant for engineers overseeing Kubernetes environments.TPS, alongside average response time, provides critical insights into system performance during load testing. This post covers two approaches to calculating TPS; a manual approach applicable in all environments, and an automatic Kubernetes-specific solution using production traffic replication.