OpTier announced availability of OpTier APM for PeopleSoft environments.
Enabled through new support for the Tuxedo platform, this support brings PeopleSoft users end-to-end visibility into their PeopleSoft environments and diagnostic capabilities that will accelerate deployments, upgrades and ongoing change management throughout the PeopleSoft application lifecycle.
OpTier’s ability to provide production-ready, low-overhead tracking using its patented ACT (Active Context Tracking) technology enables PeopleSoft customers to track each transaction across the entire infrastructure. It gives full visibility where time is spent – from the end-user response time to relevant individual SQL statement impact on the backend database through the web server network latency. This provides customers with the power to quickly identify and isolate issues within a PeopleSoft environment, and understand whether the root cause lies in the Web, JEE, Tuxedo, Oracle or any other application connected to the PeopleSoft environment.
OpTier APM’s transaction-driven approach and ability to pinpoint performance problems can help PeopleSoft customers:
- Successfully deploy PeopleSoft applications across their enterprise
- Manage PeopleSoft upgrades without impacting performance on live systems
- Assist in Change Management by evaluating the potential risk and business impact of making a change
- Use application mapping to deliver valuable information for PeopleSoft auditing
- Identify single points of failure for Incident and Problem Management, and to aid in disaster recovery planning with OpTier’s transactional approach that keeps data in context
"Oracle’s PeopleSoft applications, whether for HR, Finance, or supply chains are required to address complex business requirements that, by nature, span the enterprise,” said Amir Alon, CTO at OpTier. “With the end-to-end transaction visibility and diagnostics in OpTier APM, customers will have the unique capability to significantly reduce the time it takes to isolate and troubleshoot issues in their PeopleSoft environments, making problem resolution faster, cheaper and easier."
The Latest
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...
Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...
In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...
A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy. Why is this mixed approach so popular if many engineers feel that their overall program is not successful? ...
As AI improves and strengthens various product innovations and technology functions, it's also influencing and infiltrating the observability space ... Observability helps translate technical stability into customer satisfaction and business success and AI amplifies this by driving continuous improvement at scale ...
Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...
