Systems | Development | Analytics | API | Testing

If you’re in a regulated industry, you or your team has likely had to use Failure Mode and Effects Analysis (FMEA) for compliance. But because of the way regulated industries have to balance between the world of very strict quality standards and also high-velocity Agile processes, traditional FMEA has to evolve in order to meet the challenges that are arising in this new reality.

Moesif is pleased to announce that it has successfully completed its SOC 2 Certification. The Moesif API Analytics Platform has now been independently verified to comply with the highest standards of security. Through completion of this comprehensive level of certification, Moesif has demonstrated that it can reliably and securely maintain the confidentiality, availability and integrity of enterprises’ critical data assets.

As digital transformation continues full steam ahead across all industries, organizations are challenged by limited resources in a setting where speed to market is essential. We’re excited to announce Appian 21.4, which has new capabilities that extend the reach of your organization, delivering powerful mobile, AI, and data capabilities that let you connect with your customers anywhere. Only have a few minutes?

Datadog is one of the most highly rated tools for network monitoring, application performance monitoring & log analysis. The platform is highly rated by engineers for its wide range of useful features, high integrability and support of both custom configurations and reporting dashboards.

Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.

The software industry is transforming rapidly due to new changes brought on by artificial intelligence (AI) and machine learning (ML). AI & ML have democratized many aspects of the software testing process helping businesses, small and large, save time and money. As AI bridges the technical gap required in many jobs, more people will be able to add tremendous value to development teams — without the need of a computer science degree.