Fixing and Preventing Application Outages: 5 Questions That Just Might Save Your Network
May 10, 2016

Akhil Sahai
Symphony SummitAI

Share this

Why do outages of mission-critical applications still happen? Aren't there multiple solutions that can alert IT teams to problems? Yes – and that can be part of the problem. One alarm goes off, and then another and another until the team is quickly overwhelmed. By the time an incident like this is brought under control, the company may have lost on average as much as $750,000 for a 90-minute outage, according to the Ponemon report, Cost of Data Center Outages, in addition to loss of face and damage to brand value.

What typically happens next is that forensic experts go through multiple product consoles and logs to identify the cause of an incident, and the blame gets passed around as time ticks away. But deep machine learning-based, root-cause analytics and predictive analytics technologies are helping organizations dramatically prevent such incidents and reduce mean time to repair.

In a digital-first world, teams must manage unparalleled amounts of data while predicting and preventing outages, in real time, while maintaining and delivering agile, reliable applications. The problem is that most organizations must tap several different siloed vendor tools to assist in the monitoring, identifying, mitigation and remediation of incidents and hope that they speak to each other, which traditionally hasn't happened.

IT infrastructure keeps changing from physical to hybrid and multi-cloud environments, and new architectures keep arising. Consequently, it is becoming impossible for IT administrators to keep up with the multitude of objects, with thousands of metrics generating data in near-real time.

Applications in today's environments need to be reliable and secure within these high performance environments, so new approaches must be employed to provide intelligence. Automated, self-learning solutions that analyze and provide insight into applications and infrastructure topologies are essential in this transformation.

The New Language of Monitoring Tools

Vendors are throwing around phrases like "big data" and "machine learning" because organizations understand that these features can help them tackle the complex needs of application performance. But what do they really mean?

Machine Learning: Machine learning is self-learning, supervised or unsupervised algorithms that can be based on neural networks, statistics or Digital Signal Processing et al.

Big Data Architecture: A framework for managing masses of structured and unstructured data in an automated, highly scalable way using open source technologies.

Domain Knowledge: Questions about what happened, what caused it, how to remediate it and prevent it from happening again – the domain knowledge in TechOps and DevOps helps answer them.

5 Questions About Your Monitoring Solution

Ask these 5 questions before moving forward with a monitoring solution that can address application outages:

1. Immediate Intelligence: Does the solution identify in real time, those alarms that need immediate attention?

2. Scalability: Does the solution scale and is it able to handle millions of objects?

3. Automation: Does it quickly pinpoint the root cause of the problem and identify how to fix it, rather than relying on expensive domain experts?

4. Communal Wisdom: Do you have access to tribal knowledge such as vendor knowledge bases, discussion forums and the latest state-of-the-art technologies in order to help teams remediate incidents quickly and efficiently?

5. Prevention: Historically, monitoring tools send alerts only after a problem has already occurred or when the rules and set thresholds are violated, but the key to preventing outages is to predict issues in advance. Does the solution provide alerts to anomalous trends or potentially dangerous issues before they impact your application?

Yesterday's siloed IT management tools tend not to communicate with each other, causing confusion and over-alerting. This makes it difficult, if not impossible, for IT teams to determine what's worth investigating and what's not – paving the way for service disruptions and breaches. Fortunately, today's solutions offer real-time insight and recommendations for remediation, as well as analytics that can predict trouble so you can stop problems before they start.

Dr. Akhil Sahai is Chief Product Officer at Symphony SummitAI
Share this

The Latest

February 27, 2024

Generative AI has recently experienced unprecedented dramatic growth, making it one of the most exciting transformations the tech industry has seen in some time. However, this growth also poses a challenge for tech leaders who will be expected to deliver on the promise of new technology. In 2024, delivering tangible outcomes that meet the potential of AI, and setting up incubator projects for the future will be key tasks ...

February 26, 2024

SAP is a tool for automating business processes. Managing SAP solutions, especially with the shift to the cloud-based S/4HANA platform, can be intricate. To explore the concerns of SAP users during operational transformations and automation, a survey was conducted in mid-2023 by Digitate and Americas' SAP Users' Group ...

February 22, 2024

Some companies are just starting to dip their toes into developing AI capabilities, while (few) others can claim they have built a truly AI-first product. Regardless of where a company is on the AI journey, leaders must understand what it means to build every aspect of their product with AI in mind ...

February 21, 2024

Generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey there are many challenges and risks that organizations need to overcome to use this technology effectively ...

February 20, 2024

In today's digital era, monitoring and observability are indispensable in software and application development. Their efficacy lies in empowering developers to swiftly identify and address issues, enhance performance, and deliver flawless user experiences. Achieving these objectives requires meticulous planning, strategic implementation, and consistent ongoing maintenance. In this blog, we're sharing our five best practices to fortify your approach to application performance monitoring (APM) and observability ...

February 16, 2024

In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...

February 15, 2024

In a time where we're constantly bombarded with new buzzwords and technological advancements, it can be challenging for businesses to determine what is real, what is useful, and what they truly need. Over the years, we've witnessed the rise and fall of various tech trends, such as the promises (and fears) of AI becoming sentient and replacing humans to the declaration that data is the new oil. At the end of the day, one fundamental question remains: How can companies navigate through the tech buzz and make informed decisions for their future? ...

February 14, 2024

We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...

February 13, 2024

Cloud computing continues to soar, with little signs of slowing down ... But, as with any new program, companies are seeing substantial benefits in the cloud but are also navigating budgetary challenges. With an estimated 94% of companies using cloud services today, priorities for IT teams have shifted from purely adoption-based to deploying new strategies. As they explore new territories, it can be a struggle to exploit the full value of their spend and the cloud's transformative capabilities ...

February 12, 2024

What will the enterprise of the future look like? If we asked this question three years ago, I doubt most of us would have pictured today as we know it: a future where generative AI has become deeply integrated into business and even our daily lives ...