Systems | Development | Analytics | API | Testing

Latest Posts

What is Shift Left Testing and Its Importance in DevOps

Why wait for some issues to occur when it is possible to address them before they arise? Conducting tests at the earlier stage of development apart from being time and cost-efficient, also provides a better quality for the subsequent stages. This is where shift left testing comes into the picture, which re-orientates your perceptions towards the way of app development entirely without having issues. Shift Left Testing is a software testing approach that tests early in the software development life cycle.

Powering Customer Trust with Seamless Performance and Uncompromising Quality

Three seconds. That’s how long it takes for over half of your users to abandon your site if it doesn’t load. One extra second of lag? Say goodbye to 20% of your conversions. Your customers are one bad experience away from leaving – and they won’t hesitate to switch to your competitors. Whether it’s a sluggish app, a confusing interface, or a glitch in the checkout process, digital frustration comes at a steep cost.
Sponsored Post

Essential KPIs for Software Development: Measure Success Effectively

In almost all industries, a standard set of KPIs helps to guide teams on whether they are doing the right things in the right ways, with the right outcomes. In software development, this is something that can sometimes go untouched, allowing ourselves and fellow developers to continually work on our code and platforms without making sure we are paying attention to what matters. Some development frameworks, such as Agile, have some KPIs baked directly into them. For example, when calculating your team's story point velocity, you likely establish a benchmark after a few sprints, which becomes a team KPI to meet or exceed.

From Why to How on Black Box Penetration Testing for Organizations

As the title suggests, this type of testing is truly “black!” You could even imagine it in black color. Simply put, it’s like testing in complete darkness—figuring things out while everything is unknown, like shooting arrows in the dark! Now you might be wondering “What exactly do we test if we don’t know anything?

ETL Database: A Comprehensive Guide for Data Professionals

In today’s data-driven world, businesses rely heavily on data for decision-making, analytics, and operational efficiency. The ETL database lies at the heart of these processes, playing a crucial role in extracting, transforming, and loading data from diverse sources into a centralized repository for analysis and reporting. This blog explores what an ETL database is, its importance, components, use cases, and best practices to maximize its efficiency.

SSIS vs Azure Data Factory: A Comprehensive Comparison

In the world of data integration and ELT/ ETL (Extract, Transform, Load), two tools often compared are SQL Server Integration Services (SSIS) and Azure Data Factory (ADF). Both are Microsoft offerings, but they cater to distinct use cases and audiences. If you're a data engineer exploring these data tools, this blog will provide a detailed comparison to help you make an informed decision.

Replication in SQL Server: A Comprehensive Guide for Data Professionals

Replication in SQL Server is a sophisticated feature that enables the duplication and synchronization of data across multiple databases, providing enhanced data availability and reliability. Whether for disaster recovery, load balancing, or real-time reporting, SQL Server replication is a cornerstone technology for maintaining data consistency.

Autoscaling, Serverless GPUs, Croissants, and More! The 2024 Recap

We’re on a mission to simplify application deployment for developers and businesses worldwide. Our next-generation serverless platform enables you to deploy and scale AI workloads, full-stack applications, APIs, and more in seconds — without any complexity. 2024 was filled with major milestones in this journey: Autoscaling, scale to zero, new regions, faster deployments, Volumes and Snapshots, and so much more.