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

Akhil Sahai
Perspica

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.

Akhil Sahai, Ph.D., is VP Product Management at Perspica.

Share this

The Latest

April 25, 2017

While the idea of shifting toward digital business was speculative for most CEOs a few years ago, it has become a reality for many in 2017. 47 percent of CEOs are being challenged by the board of directors to make progress in digital business, and 56 percent said that their digital improvements have already improved profits ...

April 24, 2017

The Internet of Things (IoT) is increasingly present in our daily lives, at work, in the home and in the public sphere, making the world a more connected place. In fact, 2020 will see at least 20 billion connected devices across the globe. So, let's take a look at the most common iterations of the IoT at the moment, and what we can expect to see in the IoT landscape over the next 5 years ...

April 21, 2017

In the spirit of Earth Day, which is Saturday, April 22, we recently asked IT professionals for the tips and tricks they're using to help keep their data centers as green as possible. Here are a few ideas inspired by the responses we got ...

April 20, 2017

Almost One-Third (28 percent) of IT workers surveyed fear that cloud adoption is putting their job at risk, according to a survey conducted by ScienceLogic ...

April 19, 2017

A majority of senior IT leaders and decision-making managers of large companies surveyed around the world indicate their organizations have yet to fully embrace the aspects of IT Transformation needed to remain competitive, according to a new study conducted by Enterprise Strategy Group (ESG) ...

April 18, 2017

The move to cloud-based solutions like Office 365, Google Apps and others is one of the biggest fundamental changes IT professionals will undertake in the history of computing. The cost savings and productivity enhancements available to organizations are huge. But these savings and benefits can't be reaped without careful planning, network assessment, change management and continuous monitoring. Read on for things that you shouldn't do with your network in preparation for a move to one of these cloud providers ...

April 17, 2017

One of the most ubiquitous words in the development and DevOps vocabularies is "Agile." It is that shining, valued, and sometimes elusive goal that all enterprises strive for. But how do you get there? How does your organization become truly Agile? With these questions in mind, DEVOPSdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the best way for a development or DevOps team to become more Agile ...

April 12, 2017

Is composable infrastructure the right choice for your IT environment? The following are 5 key questions that can help you begin to explore the capabilities of composable infrastructure and its applicability within your own IT environment ...

April 11, 2017

What is composable infrastructure, and is it the right choice for your IT environment? That's the question on many CIOs' minds today as they work to position their organizations as "digitally driven," delivering better, deeper, faster user experiences and a more agile response to change in whatever vertical market you do business in today ...

April 10, 2017

As companies adopt new hardware and applications, their networks grow larger and become harder to manage. For network engineers and administrators, the continued emergence of integrated technology has forced them to reconfigure and manage networks in a more dynamic way ...