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Applying AIOps to Logs Is Key for Observability

Logging is an essential method to understanding what’s happening in your environment. Logs help developers and system administrators understand where and when things have gone wrong. Ideally, logs on their own would suffice as indicators of what’s happening. However, there’s far too many log messages being produced in today’s world and most don’t contain the information we actually need.

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Moogsoft Enterprise 8.0: The Virtual NOC Is Here!

Remote collaboration. Workflow automation. Streamlined remediation. AI-fueled data analysis. These are all key trends in IT operations management that the current crisis has accelerated, turning them into requirements for continuous service assurance in modern IT environments. Moogsoft Enterprise 8.0, available now, delivers all these advanced capabilities and more.

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Rackspace Boosts IT Operations Management with AIOps

As part of its pledged “fanatical” commitment to the success of its 125,000 customers across the globe, Rackspace optimizes its IT operations to the fullest. That way, this leading MSP ensures the highest quality and reliability of its vast portfolio of IT services across public and private clouds, and dedicated servers. “We support everything from gaming to e-commerce, telecommunications, medical, aviation — you name it.

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Assessing the Economic Value of AIOps

Taking economics into account Most enterprises consider economics when deciding which AIOps platform to purchase. Often, their conception of economics is narrow, reduced to the resolution of three issues: 1) the cost of the technology; 2) its ability to replace human labor; and 3) its ability to displace deployed products and, hence, defray future maintenance and subscription charges. In other words, AIOps economics becomes almost entirely a matter of cost.

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Moogsoft and Atlassian JIRA and Opsgenie: Put the Dev and Ops in DevOps!

DevOps has become the go-to-approach for IT to accelerate their ability to achieve business requirements and ensure the quality of the customer experience. Today’s economy and the customer experience drives IT across the entire stack. Our world has become digitally dependent, which mandates an ever-evolving IT environment that’s on-demand and always available.

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Moogsoft and PagerDuty: Boosting DevOps Teams' Productivity and Incident Resolution with AIOps

Today, the customer experience drives IT on all levels. In our digitally transformed world, we do everything online — transact, interact, purchase and more. This mandates constant change and zero downtime. Ironically, as enterprises adopt IT innovations, IT environments get harder to manage and impact the productivity and agility of DevOps and SRE teams — and as a result, the customer experience suffers.

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Moogsoft Enterprise 8.0 Redefines the Virtual NOC

Moogsoft Enterprise consolidates visibility and control of monitoring tools to help entire IT Ops and DevOps teams reduce noise, prioritize incidents, reduce escalations and ensure uptime. Working from anywhere, users can easily find and resolve the root cause of incidents before they become outages.

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Virtualize the NOC: Futureproof Your IT Investment with AIOps

By abruptly forcing most people to work from home, and by triggering an economic crisis, the global pandemic has upended business operations. Not only must business leaders facilitate remote work among their employees, but they must also accommodate new ways of interacting with suppliers, partners and customers. Meanwhile, businesses’ digital channels and infrastructure, already critical prior to the crisis, have become even more essential, and yet harder to monitor and manage.

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Extracting Insights from Metrics with AIOps for Better Observability

In this second installment of this blog series, we’ll discuss the importance of analyzing metrics, and how AIOps helps you with this fundamental pillar of observability. Without proper metrics analysis, you’re left blind to potential outages, or possibly worse — inundated with false positive anomalies, leading to alert fatigue and ultimately business impacts. Automated discovery and analysis can’t be achieved with legacy tools nor will it scale with humans.