GITEX GLOBAL 2021 has come to an End! A big thanks to our partners and visitors for taking the time to come & meet us. Being the biggest trade show in the region, GITEX gave us the right platform to unveil our latest AI-powered offerings, AIOps and ServiceOps, which we are positioning as a unified solution to meet the challenges faced by enterprises due to the rapid modernization of their businesses.
We’re strengthening the value to ServiceNow and ScienceLogic customers through a stronger partnership.
According to a recent global survey by Deloitte, 73%of respondents said their organizations have officially embarked on a path to adopting intelligent IT automation. That being said, only 26% of survey respondents that are piloting automations and 38% of those implementing and scaling actually have an enterprise-wide intelligent IT automation strategy. So, what’s standing in their way?
ML-enhanced endpoint protection can keep schools safe from cyberattacks. Here are three benefits district leaders will find when investing in this advanced technology. Long before the pandemic, K–12 cyberattacks were a serious concern. The shift to remote learning has only increased the danger.
On this day in 1938, law student Chester Carlson invented the first photocopier in Queens, New York.
AIOps was once considered just a back-office fundamental, a solid suite of tools simplifying routine security and network monitoring tasks that primarily served the IT shop. The accelerated pace of digital transformation is changing that. Now, IT service and operations teams are in the spotlight and tasked with enabling business performance that help their companies provide seamless digital experiences and evolve in a fast-changing economic environment.
This is the first of a four-part security blog series covering why ScienceLogic is listed in the DoDIN APL catalog, what this means for monitoring critical IT infrastructure, and why APL certification is relevant for all organizations. Part one is all about trust and transparency—foundations for a secure platform.
Managed service providers have to manage complex and diverse customer environments that typically include hybrid infrastructure and multiple monitoring feeds. They need to be able to discover and monitor these environments, correlate alerts from multiple systems into single events, and map business services to the infrastructure and application services that support them, building customer-centric dashboards for real-time service and application health in the process.
Manual incident management is an enormous challenge facing today’s enterprises. It wastes time and money, and often results in unhappy customers who have to deal with unreliable services because of persistent, unresolved issues. Manual ticket generation can take 20 to 30 minutes, and routing another 90—assuming the ticket is delivered to the right team.
The link between DevOps and artificial intelligence for operations (AIOps) has only started to become clear within the last few years. Monitoring and alerting has evolved from a "black box approach," where you don't actually know what's happening, into observability, where you have access to data that provides everything you possibly need to know about your IT systems. How does AIOps come into play? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations. Since it entered as a formal discipline with Gartner in 2016, IT teams have been trying to figure out how to employ it to make their lives easier.
A good customer experience is one. of the most important metrics of success for financial services. To deliver services efficenitly you need AIOps.
“It’s not rocket science.” In the past, we’ve all heard that statement made. Quite often, it’s applicable. It’s true we can overthink or unnecessarily overcomplicate matters. Don’t tell that to someone who’s responsible for network performance and continuity today, however.
On this day in 1906, barber-turned-inventor Karl Ludwig Nessler invented a machine that put permanent waves into hair in London, England.
The AIOps market is growing wildly, and with that comes a plethora of AIOps solutions. Not all AIOps companies are created equal. We are here to help with our list of the top 10 innovative AIOps companies.
In the age of cloud, digital transformation, application modernization, and the mobile economy, the network is the lifeblood behind enabling excellent customer experiences. Network Operations (NetOps) and IT Operations (ITOps) teams are constantly aware that a disruption in core network systems performance can have a massive impact on their business.
In a world with everything digital, you need AIOps to help ensure uptime and break through the noise. Still not sold? Let's explore 5 ways SRE and DevOps teams are using AIOps to boost existing monitoring tools.
There’s a number of monitoring and observability solutions on the market today. It almost reminds me of the automobile market and the endless number of automobiles available. Sure, they all get you from point A to point B, in some way. But some automobiles do it faster, smoother, more efficiently, with guidance, more comfort, storage space, perhaps towing capability, and even autonomously. Moogsoft is the automobile you’ve been dreaming about in the monitoring and observability market.
Sugar Ray Robinson and Jake LaMotta. Marvelous Marvin Hagler and Tommy Hearns. Muhammad Ali and Joe Frazier. All were among history’s greatest boxers, but when they met in the ring, each brought out the best in the other. It’s the same in IT management. There are tools and platforms that on their own are essential to IT operations; but when paired as an infrastructure management tandem, each complements the other, ensuring maximal efficacy of both systems.
One of the questions I get asked a lot by customers, prospects, and partners is, “Will AIOps make them irrelevant?” To them, AIOps is often equivalent to automated remediation; an AIOps system automatically detects an incident and kicks off a remediation process in response to this incident, knowing exactly what process will solve the problem. IT is out of the loop, data centers and NOCs just keep humming along unattended, end users are none the wiser.
IT teams are under immense pressure to work faster than ever and deliver better results—at less cost. And they’re struggling to do it all as their organizations take in rapidly soaring volumes of data that must be captured, analyzed and deployed to improve business outcomes.
