The latest News and Information on AIOps, alerting in complex systems and related technologies.
Security operations teams and IT operations teams share a lot in common. They have both spent the past decade grappling with systems that grow more complex every year and figuring out ways to handle ever-larger volumes of data. They also both face pressure to identify and remediate problems as quickly as possible – ideally, in real time. And they are supposed to do it all without breaking the bank.
This is the fourth and final in a series of ScienceLogic blogs on the topic of the Department of Defense Information Network (DoDIN), including what it is, what it means to be approved under DoDIN standards, why it is important to both our federal and private industry customers, and the process for being approved for listing.
It’s easy to see why developers and IT engineers should care about AIOps, which automates tasks (like incident remediation) that they would otherwise have to perform manually. But what does the business get out of AIOps? How do AIOps-powered tools help improve business outcomes? Those questions are critical to answer for any organization considering an investment in AIOps solutions.
Today’s incident pipelines are noisy. The average enterprise deals with at least 15 different monitoring and observability tools that create thousands of alerts a day, often overwhelming and drowning their IT operations. But it’s not just their number that’s an issue.
This blog post defines SRE by explaining SLOs and error budgets, highlighting the innovation vs. reliability tradeoff.
AIOps platforms fall into two main categories: domain-centric and domain-agnostic solutions. What are the differences between domain-centric and domain-agnostic AIOps, and why should you choose one type of solution or the other? Read on for guidance on understanding the respective pros and cons of domain-centric and domain-agnostic AIOps.
According to a recent survey by Gartner, business leaders anticipate a return to growth for their enterprises and industries in 2022, and a big part of their investment plans involve digital transformation. In fact, 20% of CEOs cited digital transformation as a priority for strategic investment. That is a significant shift from 2012 when Gartner found that only 2% of CEOs surveyed had made digital transformation a priority.
On October 4, Facebook and its properties, Instagram and WhatsApp, were down for more than five hours due to configuration changes on routers in Facebook’s data centers. A five-hour outage is an eternity in our always-on digital economy, costing the company an estimated $65 million and 4.8% in stock valuation. The high-profile Facebook outage is emblematic of just how digitally intermediated our economy is becoming, and the incident renews C-level focus on preventing similar service failures.
SaaS is exploding and so it should; it takes commoditized work and infrastructure away from tech teams so that they can focus on differentiating features. But what happens when it goes wrong? How do SaaS platforms make sure they aren't letting their customers down and in turn, letting their customers down? Observability, bolstered with AI gives all the partners the best chance to optimize availability and customer experience. Here's how.
