At Oracle OpenWorld, Idera is showcasing a new version of its suite of Precise Application Performance Monitoring products.
The latest release offers several enhancements aimed at helping customers improve the performance and availability of their mission critical applications, highlighting Idera’s long-standing commitment to extreme transaction transparency, rapid issue resolution and proactive problem prevention.
Precise is used by many of Idera’s largest customers to manage their most mission critical database and applications, many of which include hundreds of critical components, including SAP, Siebel and PeopleSoft along with Oracle, SQL, DB2 and Sybase.
The latest updates reflect Precise’s goal to simplify application performance management for administrators and include:
- New agent architecture for monitoring Java, .NET and web application infrastructure allows organizations to benefit from new feature releases via framework updates, without touching the agents themselves – which are also backwards compatible with the Precise PMDB (Performance Management Database). This is a small part of a broader initiative to enhance the entire Precise platform to take advantage of this new model of architecture, including lowering total cost of ownership and easing ongoing maintenance.
- Improved Java Garbage Collection and Memory utilization statistics give Precise administrators more visibility into how garbage collection is being performed. The additional details present specific pools, generations and algorithms, giving administrators the ability to see trends and forecast issues accurately for maintenance needs related to memory.
- Enhanced support for Oracle 11.x and experimental support for Oracle 12C provides new memory mapping for monitoring as well as support to host the PMDB.
“With the release of Precise 9.6.1, we continue to deliver on our promise of simplified installations and upgrades,” says Josh Stephens, VP of Product Strategy at Idera. “Featuring our new agent architecture that allows upgrades to be applied without changing agents, the latest release of Precise removes the need to make changes to critical production servers when performing upgrades, effectively eliminating extensive testing and certification requirements.”
As organizations are increasingly asked to support more diverse applications that span a variety of platforms and disciplines, gaining visibility across the entire stack has become a significant challenge. Precise’s upcoming roadmap addresses these challenges, delivering enhanced alerts, both hosting and monitoring support for Oracle 12C, broader VMware compatibility, expanded Windows certification, SQL Server 2014 support, and a new enterprise level Operations Dashboard report. The additional enhancements are further testament that Idera’s Precise APM products have a razor sharp focus on helping businesses find more efficient ways to manage their application performance.
“Precise has long been recognized as the go-to solution for mission critical environments,” said Charlie Wiemann, VP of Operations at Precise. “No other monitoring software provides the detailed click to storage APM capabilities of Precise. Simplifying the installation and upgrade processes while also adding future compatibility and support, will allow our customers to achieve ROI more quickly, and ensure early adoption of the latest advances in our monitoring technology as well as widen the scope of transparency.”
The Latest
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...