ScienceLogic received certification of its application with ServiceNow, now available in the ServiceNow store.
Certification by ServiceNow is only granted to apps available in the Store and signifies that ScienceLogic SL1 has successfully completed a set of defined tests focused on Now Platform security, compatibility, performance, and integration interoperability. The certification also ensures that best practices are utilized in the design and implementation of ScienceLogic SL1 with ServiceNow.
The ScienceLogic SL1 platform empowers intelligent, automated IT operations by:
- Consolidating tools and data from across a disjointed IT environment into a single, operational data lake
- Automatically preparing and enriching that data with crucial contextual insights that can drive informed business decisions and automated actions
- Exchanging data among an unlimited number of IT management platforms, tools and sources, such as ServiceNow.
“IT now forms the backbone of many enterprises, yet its complexity has started to tax IT operations teams who are pressured to keep up with the corresponding increase in volume and velocity of service tickets. If IT Ops falls behind, that can threaten the resiliency of operations and ultimately, the bottom line as businesses continue their digital forward march,” said Dave Link, CEO and founder of ScienceLogic. “In this environment, automation is going to be key to identifying, diagnosing and remediating issues in real-time, yet only a platform that provides holistic views can provide the level of insight and analysis needed. SL1 delivers the clean, contextualized data IT operations teams need to achieve these automations so that overall business health is never impacted.”
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
