Lenses can now help you to work with data streams on one screen, regardless of how you select your streaming data architecture. This is how we see autonomy in data streaming.
Appian was already the scalability leader, but the Autoscale feature in our 24.4 release is taking our customers even further. Autoscale lets enterprises execute six million processes per hour. It's what today's IT teams need to handle unprecedented process volume without sacrificing agility. This blog is a technical overview of Autoscale. Appian is the process company. For more than 25 years, industry-defining organizations have turned to Appian to orchestrate their most important processes.
Today we introduce the Multiplayer Platform Debugger: share deep session replays that include relevant data from frontend screens to deep platform traces, metrics and logs so teams no longer have to search through unrelated data to find and fix bugs.
Today, we are excited to announce the availability of Volume Snapshots in public preview! Snapshots are an essential feature to backup your High-Performance Volumes, simplify data management and allow reproducibility. With Snapshots, you can create an immediate point-in-time copy of your Volumes with a simple CLI command or click, enabling: Volumes and Snapshots are available today in our Frankfurt, EU and Washington, US regions!
In this episode, Sanjiva and Asanka explore the power of first-principle thinking and why it’s a must-have approach for architects. They break down how this method helps tackle complex problems by focusing on fundamental truths rather than relying on assumptions or best practices. From root cause analysis to iterative refinement, they discuss how architects can apply first principles to design innovative and scalable solutions. Tune in to rethink your approach and elevate your architectural decision-making!
Federal government agencies are facing a growing workforce challenge. The looming retirement wave, particularly among experienced baby boomers, threatens to leave critical knowledge gaps in agencies that are already struggling with understaffing. To bridge this gap, government agencies must focus on appealing to a younger workforce that brings fresh perspectives, technological expertise, and a strong desire to make an impact.
Learn everything you need to know about creating a test automation strategy from Marcus Merrell, from designing and implementing a scalable test automation operation to overcoming common challenges.
Reality check: no team can achieve total bug prevention. But that doesn’t mean failure—it means balancing effort with impact. Instead of aiming for perfection, focus on identifying the most critical errors and creating test cases that catch the ones that truly matter. This approach helps teams save time, resources, and frustration while still maintaining high-quality releases. Perfection in bug prevention isn’t realistic, but smart prioritization is.
Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.