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By Raja Shekar Mulpuri
As businesses increasingly digitize operations, IT systems are evolving into complex, distributed ecosystems. Applications run across multi-cloud environments, microservices power critical processes, and data flows in real time across countless touchpoints. While this transformation drives agility and scalability, it introduces significant challenges: hidden anomalies that can disrupt operations, frustrate users, and damage revenue.
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By renuka
Every IT environment relies on multiple monitoring tools to ensure smooth and uninterrupted operations across various systems—network, databases, servers, applications, and more. These tools constantly scan for any performance anomalies to keep everything running smooth. However, when there’s a spike in performance metrics—such as CPU usage, network traffic, or database activity—each of these monitoring tools triggers its own alert for what might be the same underlying issue.
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By renuka
For those of us managing the ever-evolving IT infrastructure, the days of simple cause-and-effect relationships are long gone. A performance dip in one application might affect microservices, destabilizing the systems. Alerts – flood in, logs – pile up, and even the most sophisticated monitoring dashboards often leave asking: Where do we even begin?
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By Raja Shekar Mulpuri
HEAL Software’s AIOps platform has firmly established as a leader in leveraging AI and machine learning to analyze alerts and events, correlating them with historical data and knowledge base to identify root causes with exceptional accuracy. This advanced root cause analysis significantly reduces Mean Time to Resolve (MTTR) and minimizes downtime, ensuring the reliability of IT systems. However, the real innovation comes with the HEAL Chatbot, which is more than just a conversational AI.
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By Raja Shekar Mulpuri
HEAL Software’s AIOps platform has firmly established as a leader in leveraging AI and machine learning to analyze alerts and events, correlating them with historical data and knowledge base to identify root causes with exceptional accuracy. This advanced root cause analysis significantly reduces Mean Time to Resolve (MTTR) and minimizes downtime, ensuring the reliability of IT systems. However, the real innovation comes with the HEAL Chatbot, which is more than just a conversational AI.
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By Raja Shekar Mulpuri
The term “unknown unknowns” refers to problems or vulnerabilities that have not yet been identified or anticipated. Unlike known issues, which can be addressed with existing knowledge and tools, unknown unknowns require a different approach to detection and resolution. These hidden issues are often beneath the surface, only becoming apparent when they cause significant disruption.
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By h_admin
In today’s digital age, IT organizations face numerous challenges that can hinder their ability to provide seamless services. Common pain-points include frequent outages, unexplained end-user experiences, negative brand impact, unaccomplished business demands, and complex application environments. These issues are exacerbated by technology silos, an overload of alerts, inaccurate and prolonged root cause analyses, and inadequate current SRE/DevOps tools.
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By Raja Shekar Mulpuri
On July 19, 2024, a significant outage impacted globally, causing widespread disruptions across various industries. This outage was primarily linked to a faulty update from CrowdStrike’s Falcon Sensor, which led to severe issues on Windows systems. CrowdStrike is a leading cybersecurity company that specializes in protecting businesses from online threats.
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By Raja Shekar Mulpuri
Achieving ZeroSec observability has long been the ultimate goal, yet it remains elusive despite countless hours and sleepless nights dedicated to the cause. A recent discussion with a client underscored the persistent challenges that many organizations continue to struggle with in this pursuit. They had all the right tools in place yet faced significant issues that prevented them from achieving a smooth run of the applications.
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By Raja Shekar Mulpuri
Event correlation is a critical aspect of modern IT management, involving the analysis and correlation of events to filter out noise and isolate significant events requiring attention. This process helps quickly identify the root cause of issues, reducing the time it takes to resolve incidents and ensuring smoother operations. Key reasons for event correlation include reducing noise data and identifying root causes efficiently.
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By HEAL Software
HEAL Software Inc. is the provider of game-changing innovation HEAL, the first preventive healing software for IT operations that fixes problems before they happen. Contrary to APM and monitoring tools that send alerts or find the problem sources when an incident occurs, HEAL can recognize "signals" that are leading indicators of future incidents and eliminate factors that can create problems.
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By HEAL Software
This white paper discusses some inherent issues in current AIOps tools and how preventive healing systems are bridging the gaps left by them. Why AIOps tools are not enough How preventive healing systems fill in the gap
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By HEAL Software
This eBook contains 7 tips to help you run your data center smoothly and effortlessly scale while minimizing incidents and operational costs.
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By HEAL Software
False positives waste time, cause alert fatigue, and can be extremely expensive. Any time spent by the ITOps teams on false positives is an avoidable cost affecting the company's top line. False positives lead to alert fatigue. ITOps teams regularly identify it as a cause of overwhelm, so much so that they mentally shut the alerts off. They become desensitized to it and begin to ignore it, consciously or otherwise.
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By HEAL Software
In 2021, having too many monitoring tools doesn't necessarily mean you have 100% uptime. In this ebook, we discuss the gaps in what the industry needs out of an AIOps/APM tool and why current technologies are failing. We will also give a primer on how HEAL bridges these gaps to help you achieve the holy grail of 100% uptime with proactive, preventive AIOps.
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HEAL Software Inc. is the innovator of the game-changing preventive healing software for enterprises known as HEAL, which fixes problems before they happen.
Preventive healing is a new category of monitoring and artificial intelligence for IT operations (AIOps) that preempts outages by acting before they occur and shifting from a break-and-fix model to predict-and-prevent.
HEAL Software Inc.’s preventive healing software supports IT operations by replacing multiple disparate manual IT operations tools with a single, intelligent and automated platform. It’s three-pronged approach focuses on prediction, diagnosis and prevention to eliminate alert fatigue, reduce repair and response times and eliminate over-deployment of resources – meaning IT can focus less on mitigating losses and more on becoming a profit center.
How it works:
- Predictive & Preventive: Detects early warning signals and prevents problems before they happen.
- Collective Knowledge: Learns complex relationships within the entire stack from endpoint to application and infrastructure.
- Situational Awareness: Collects contextual data to ensure responses are coherent and complete.
- Remedial & Autonomous: Finds root cause and rectifies independently.
Recognize and respond to smaller issues before they become outages.