Pepperdata announced a free version of Application Spotlight for enterprises for use in a single cluster with up to 20 nodes.
Pepperdata Application Spotlight is a self-service APM solution that provides developers with a holistic and real-time view of their applications in the context of the entire big data cluster, allowing them to quickly identify and fix problems (failed Spark applications, for instance) to improve application runtime, predictability, performance and efficiency. Pepperdata Application Spotlight also provides automatic tuning for applications, delivers job-specific recommendations, and enables users to set up alerts on specific behaviors and outcomes to avoid the risk of failure.
“This free offering gives developers a powerful introduction to the robust capabilities of Pepperdata,” said Ash Munshi, Pepperdata CEO. “Application Spotlight gives them self-service access to all the data on their applications in one place so they can determine whether performance issues were caused by their application or other applications running on the cluster.”
With Pepperdata Application Spotlight, developers can:
- Reduce troubleshooting time by 90% on average to ensure SLAs are met.
- Reduce runtime – one Pepperdata customer reduced critical job runtime from 3.5 hours to 90 minutes after applying recommendations.
- Improve productivity by quickly identifying lines of code that cause performance issues.
- Determine whether performance issues are due to the application or other workloads on the cluster.
- Safely and confidently move performant applications to production faster.
Application Spotlight is available immediately for free for use in a single cluster with up to 20 nodes.
The Latest
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
