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ScienceLogic Receives Application Certification from ServiceNow

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.”

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ScienceLogic Receives Application Certification from ServiceNow

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.”

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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