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2016 APM Predictions: Single Pane of Glass

Bogdan Viher

As the IT world increasingly moves toward “single pane of glass” management consoles, customers are looking to understand:
 
■ How can these platforms enable true end-to-end monitoring and guaranteed infrastructure performance?

■ How will these platforms deal with the rise of cloud-based computing?
 
In 2016, consolidation of monitoring tools across five major platforms now accounts for more than 80 percent of the application monitoring market. In 2016, that percentage will continue to rise as environments become increasingly complex and the desire for "single pane of glass" monitoring increases, pushing IT departments to combine APM and holistic infrastructure monitoring.
 
In the coming year, the need for APM probes that are able to analyze both public and private cloud-based applications will become increasingly important as cloud computing continues its rise in popularity. This increased migration to the cloud will stem from the continued performance depreciation of legacy systems. For companies that continue to use existing infrastructure, there will be a need to supplement systems with native plugins and APM probes to mitigate latency and proactively identify potential problems across the network. 
 
Standalone APM tools that work only for a specific product or device will become increasingly less relevant as the industry continues to converge and consolidate and replaces these tools with native plug-in solutions. This effort will be driven by the need to lower administrative costs whilst increasing manageability in 2016.

Bogdan Viher is Product Director at Comtrade System Software and Tools.

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2016 APM Predictions: Single Pane of Glass

Bogdan Viher

As the IT world increasingly moves toward “single pane of glass” management consoles, customers are looking to understand:
 
■ How can these platforms enable true end-to-end monitoring and guaranteed infrastructure performance?

■ How will these platforms deal with the rise of cloud-based computing?
 
In 2016, consolidation of monitoring tools across five major platforms now accounts for more than 80 percent of the application monitoring market. In 2016, that percentage will continue to rise as environments become increasingly complex and the desire for "single pane of glass" monitoring increases, pushing IT departments to combine APM and holistic infrastructure monitoring.
 
In the coming year, the need for APM probes that are able to analyze both public and private cloud-based applications will become increasingly important as cloud computing continues its rise in popularity. This increased migration to the cloud will stem from the continued performance depreciation of legacy systems. For companies that continue to use existing infrastructure, there will be a need to supplement systems with native plugins and APM probes to mitigate latency and proactively identify potential problems across the network. 
 
Standalone APM tools that work only for a specific product or device will become increasingly less relevant as the industry continues to converge and consolidate and replaces these tools with native plug-in solutions. This effort will be driven by the need to lower administrative costs whilst increasing manageability in 2016.

Bogdan Viher is Product Director at Comtrade System Software and Tools.

Hot Topics

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...