This has been quite the summer to remember as we continue to witness our customers achieve remarkable efficiencies through automation such as deep integrations with change pipelines to suppress alerts during maintenance windows and correlating alerts to create incidents with dynamic and evolving descriptions that dramatically improve Incident management processes.

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.

On this day in 1955, the first edition of the “Guinness Book of Records” was published in London.

Historically, enterprise IT organizations have turned to application performance management (APM) systems to monitor and manage critical applications. However, throughout the world, enterprise organizations are suffering massive and systemic failures at an increasing rate. One of the main reasons these failures are increasing is that organizations aggressively seek to execute digital transformation initiatives.

High performance automobiles are built to be driven on the open road, at high speeds, hugging each curve and accelerating on the straightaways—they’re not for trips to the grocery store.

This is the twelfth chapter in The Observability Odyssey, a book exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this chapter, our SRE, Dinesh, brings together his colleagues with an interest in AI.

You’ve seen the movie. You know the scene. There’s a diabolical criminal on the loose, a city in fear—and one obsessed investigator in dogged pursuit of justice. Her eyes are bloodshot from too many sleepless nights, too much caffeine, and too many cigarettes. She paces frantically in a windowless room. On the wall is a corkboard festooned with maps, notes, and pictures, and a web of red string is woven haphazardly across a clutter of seemingly unrelated clues.

Digital transformations can entail significant shifts in technology, such as migrating from on-site architecture to cloud services, and these complex transformations generate massive amounts of data. Data transparency is a must-have, and observability with AIOps delivers the solution. Through a unified view of data, AIOps guides DevOps and SRE teams through the swamp of information

A summary of our third Moogsoft engineering Twitch Stream chatting about all things DevOps

If the last year has taught those of us at ScienceLogic anything, it is that we underestimated how much our customers and partners relied on us. It’s understandable, really, since no one could have anticipated the pandemic-driven chaos, and how it would push IT to its limits—and beyond.

Robotic data automation (RDA) is designed to optimize IT functions for a broad spectrum. It is the next generation data automation technology that is specifically designed to bring efficiencies to multiple IT functions including CXO/IT leaders decision making, IT Ops, Helpdesk, Salesforce.com, ServiceNow and other applications used by enterprises.

This is the tenth chapter in The Observability Odyssey, a book exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this chapter, our DevOps Engineer, Sarah, throws in the towel at C&Js and moves on to build her own business.

This is the eleventh chapter in The Observability Odyssey, a book exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this chapter, our IT Ops Leader, James, speaks with the analysts about what’s happening in the AIOps space.

On this day in 1889, William Gray patented the first coin operated telephone with the first model installed at the Hartford Bank in Connecticut.

Most everyone has some source of information on the health of their environments. Your experts know where to go and what to do when you get those cryptic messages and log files. To those content with the deep knowledge and where events and log files supply you with everything you need, I applaud you – you belong to a rare breed. Combing through logs or events takes time and effort, and rarely does it yield the speediest “return-to-service” solution.

A selection of questions and answers from our recent webinar on leveraging AIOps to run sustainable, blameless retrospectives.

In the ScienceLogic webinar, “Clearing the Path for Automated Operations,” we look at how one global technology organization got their IT house in order through the application of AIOps and a strategic approach to implementation, based on ScienceLogic’s AIOps Maturity. ITOps teams are overloaded with manual, repetitive work that creates management bottlenecks and takes time away from new projects.

As soon as the ITOps technician is ready to grab a cup of coffee, a zing comes along as an alert. Cling after zing, the technician has to respond to so many alerts leading to fatigue. The question is why can’t systems be smart enough to predict bugs and fix them before sending an alert to them. And, imagine what happens when these ITOps personnel have to work with a complex and hybrid cloud of IT systems and applications. They will dive into alert fatigue.

Observability is a hot term in the industry, but don’t let it fool you: having visibility into your organization's apps and services only gives you partial clarity into a system’s overall performance. To get a full understanding of your monitoring data, you need to apply contextual intelligence.