Systems | Development | Analytics | API | Testing

In today’s times, Application Performance Monitoring has grown to become a necessity for most software organizations. At the same time, the term has evolved from tracking only the performance of an application to monitoring the infrastructure, user experience, latency, and much more. These factors, when put together, contribute to the overall growth of a product. There are so many things that can go wrong at the same time.

Anyone who's worked in technology has likely hit on the "build vs. buy" question at some point. Should you build your own custom solution to meet the exact requirements of your business? Or does it make more financial sense and save time if you use a third-party vendor? Let's use an example. You are a tech lead at a company that delivers a platform for online learning.

Insurance companies—like companies in many other industries—are under increasing pressure to adopt ESG-friendly practices. The COVID-19 pandemic, a growing spotlight on climate change, and emerging social movements have all given rise to more socially and environmentally responsible consumers.

If you are trying to compare all of the best solutions for application performance monitoring and management you may have found that it can be highly complicated to compare all of the available observability tools whilst also trying to keep within a reasonable budget.

As the amount of big data generated every year grows exponentially, successful enterprises have ditched on-premise solutions for the cloud. Nowhere is this more apparent than in the world of big data analytics, where virtual environments offer more scope and scalability than in-house architecture. Data-driven companies crave cloud databases because of the copious amount of data they collect, process, share and analyze every single day.

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

Financial products are no longer characterized by the steps of filling out a form, waiting for a credit decision and, if successful, watching the monthly payments leaving your account.

There is an explosion of data from a myriad of sources and an insatiable demand to consume it. Traditional manual ETL methods are too brittle to keep up. Leaving many a BI team struggling to provide meaningful business insights quickly.