In recent years, cross browser compatibility testing has gained a lot of traction as it helps ensure that no customers are left behind after updates. The pace of technological advancement has increased exponentially, leading to faster upgrades and changes. However, not all people evolve as rapidly as they are resistant to change, leading to outdated technology such as which consist of minor options, specifications and less compatible ones.

Responsive design is an approach to design websites such that it responds well on all screen sizes, platforms, and orientations. with the user’s devices depending upon their screen dimensions and orientation. This approach eliminates the need to design a new set of code for each new device. The primary focus is to deliver a consistent browsing experience to the users no matter what device is being used.

Cross-browser compatibility testing is the most important testing for someone whose business is completely dependent on a website. Take for example an online service provider company. It may have gone through rough testing phases but is there a point in exhausting all your energy when the end-user is not able to communicate with the website properly? Cross-browser compatibility testing is extremely important for a successful running website where you have one less thing to worry about.

A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, it is highly important to identify and ultimately resolve it quickly. However, in the production environment running on the cloud, memory leak detection is a challenge without the knowledge of the application or its internal object allocation details.

The main differences between Alooma, MuleSoft, and Xplenty: Data-driven organizations pull data from multiple locations such as in-house databases, SaaS, and cloud-based apps, making it difficult to determine accurate business insights. Moving all this information into a single location makes data analytics easier. This is where Extract, Transform, and Load (ETL) comes in.

It’s no secret that businesses are undergoing a dramatic digital acceleration during the pandemic. A recent Gartner CFO Survey characterizes this acceleration as “from the pace of a multi-year marathon to a 12-month sprint,” while a McKinsey survey estimates that organizations have shortened the digitization of their customer and supply-chain interactions by three to four years. Lagging behind in turning data into answers is no longer an option.

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

Anodot is the only monitoring solution built from the ground up to find and fix key business incidents, as they’re happening. As opposed to most monitoring solutions, which focus on machine and system data to track performance, Anodot also monitors the more volatile and less predictable business metrics that directly impact your company’s bottom line. Now there’s an easy way to measure the business impact of every incident.

The key differences between Amazon Kinesis and Kafka are: Introducing data streamers! These services validate and route messages from one application to another, managing workload and message queues effectively. The result? Users process messages through a centralized processor and handle large data streams more efficiently. Amazon Kinesis and Apache Kafka are two data stream services.