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Tag: ScienceLogic

  • ScienceLogic Unveils Revamped AIOps Platform

    ScienceLogic Unveils Revamped AIOps Platform

    Via an early access program, ScienceLogic this week made available a Hollywood update to its artificial intelligence for IT operations (AIOps) platform that, among other capabilities, provides root cause analysis capabilities that can be invoked via a natural language interface.

    For the first time, this release of the ScienceLogic SL1 platform incorporates predictive and generative AI technologies the company gained with the acquisition of Zebrium in 2022.

    Michael Nappi, chief product officer for ScienceLogic, said Zebrium provided ScienceLogic with an AI model that surfaces insights in a way that is simpler for IT teams to understand and act on. In addition to recommending automated workflows to run, the platform gives IT teams the option to automatically run them when, for example, there is an IT incident that an existing workflow has been defined to address, he added. Each organization will need to determine its level of comfort in automating those processes based on the level of potential risk to the business, noted Nappi.

    In addition, the SL1 user interface displays IT operational information at the business service level to provide IT teams with a guided experience that makes it simpler to prioritize tasks based on their relevance to the business, noted Nappi. There is also now an SL1 toolkit that DevOps teams can use to build or customize PowerPacks templates for monitoring specific processes and services.

    Finally, SL1 is now integrated with Slack and WebEx to streamline collaboration across IT teams. Previously, the platform only supported Microsoft Teams.

    In effect, SL1 now provides IT teams with a cockpit through which they can invoke AI to autonomously manage a wide range of tasks, said Nappi.

    It’s not clear how much advances in AI might one day soon democratize the management of IT, but it is clear the level of expertise required to manage complex IT environments is declining. The overall goal is to reduce dependency on IT professionals, such as software engineers, who are hard to find and retain.

    The rate of change being made to complex IT environments is now also occurring faster than IT teams can track without the aid of AI, noted Nappi. ScienceLogic, in the longer term, is working toward making it possible to interact with a chatbot in real-time to enable IT teams to meet that challenge, he noted.

    Each IT organization will need to decide for itself how heavily to rely on AI to manage IT functions, but in time, many IT professionals are not going to want to work for organizations that don’t provide some level of AI to reduce the level of toil they regularly encounter today. Rather than having to manually perform a series of monotonous tasks, AI should enable IT professionals to act more like supervisors in an IT environment.

    It may be a while before that aspiration is fully realized, but in the meantime, IT teams would be well-advised to start identifying which tasks will soon be automated using AI because roles and responsibilities will evolve. The challenge and the opportunity now is determining how IT teams can add more value to the business as those transitions occur.

  • ScienceLogic Raises $105 Million in New Financing to Accelerate Leadership in Growing AIOps Market

    Latest funding round to capitalize on enterprise adoption of hybrid-cloud management solutions, elevating customer experience and operational agility 

     

    Reston, Virginia – February 23, 2021 – ScienceLogic, a leading provider of AI-driven monitoring solutions for hybrid cloud management, announced today that it has raised $105 million in growth financing. Silver Lake Waterman led the company’s Series E round with participation from existing investors Goldman Sachs, Intel Capital and NewView Capital. The investment will support the company’s continued innovation in the AIOps market and further broaden ScienceLogic’s position within the $30+ billion IT Operations Management software market.

    Companies across the globe are adopting cloud strategies and tools more than ever amid the COVID-19 pandemic, with massive demand for digital services and scalability. We believe ScienceLogic is poised to meet that demand as organizations look for hybrid-cloud toolsets from trusted partners to securely harness business agility, cost savings and innovation.

    “More than ever, IT Operations Management has taken root as a front-office priority supporting mission-critical digital experiences that define the way we live, work and play. As large enterprises shift workloads to the cloud while managing on-prem resources, new tools are paramount to deliver service visibility and faster incident resolutions made better by advanced AI/ML technologies,” said Dave Link, Founder & CEO of ScienceLogic. “What we’re witnessing is a major investment cycle away from legacy monitoring tools and toward AIOps platforms.”

    The funding is intended to accelerate ScienceLogic’s product development and engineering leadership, supporting the company’s broader expansion plans and the reach of its flagship SL1 digital infrastructure monitoring platform. Funds are expected to be allocated toward recruitment efforts and product investments aimed at cloud-native technologies including microservices and container solutions, AI/machine learning, and hybrid cloud operations that transform digital experiences and enhance security.

    “The ScienceLogic team has built a leading platform to monitor mission-critical infrastructure and applications and is at the center of some of the largest, most complex IT environments at the forefront of digital transformation,” said Shawn O’Neill, Managing Director and Group Head of Silver Lake Waterman. “Dave Link and the leadership team have a long track record of building value and trust with customers and we look forward to partnering with the team and helping drive further adoption”.

    Some of the largest global enterprises, federal agencies and managed service providers trust ScienceLogic’s modern platform to ensure availability of their applications and business operations across hybrid-cloud and multi-cloud deployments. The scalable SL1 monitoring platform helps IT operations teams ingest hyperscale data volume in real-time across disparate hybrid-cloud architectures, while its patented discovery and automation technology improves agility, accelerates incident response and drives productivity by strengthening application health, resolution time and user experience.

    The funding news comes after a recent announcement from the company to expand its product development, engineering and sales and marketing staff. ScienceLogic’s AIOps market leadership also was recently highlighted by the Forrester Wave, which included ScienceLogic as one of only three firms highlighted as AIOps Leaders – honors that further cement the company’s forward momentum.

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    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across multi-cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations across the globe, ScienceLogic’s technology is designed for the rigorous security requirements of the United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com

    About Silver Lake Waterman

    Silver Lake Waterman is part of Silver Lake, the global leader in technology investing with approximately $75 billion in combined assets under management and committed capital and a team of professionals located based in North America, Europe and Asia. Silver Lake Waterman focuses on providing flexible expansion capital to later-stage growth companies in the technology and technology-enabled industries. For more information about Silver Lake Waterman and Silver Lake, please visit www.silverlake.com

  • ScienceLogic Named AIOps Leader in Premier Industry Analysis

    Flagship SL1 platform leads at scale, automated root-cause analysis in evolving AIOps landscape 

     

    Reston, Virginia – November 3, 2020 – ScienceLogic announced today that in this year’s Forrester Wave, the much-anticipated report found ScienceLogic to be a leader in AIOps solutions—and clearly signals an industry-wide shift in the path forward in IT operations management.

    Forrester’s deliberate, exhaustive analyses have cemented the firm as the definitive authority in the AIOps market. The Forrester Wave™: Artificial Intelligence for IT Operations, Q4 2020 builds on previous criteria for evaluating AIOps, outlining the driving trends, solutions and differentiators most relevant to the future of AIOps.

    The recognition of ScienceLogic as a leader in this year’s Wave is a meaningful benchmark for the company. ScienceLogic believes this confirms its position as an established player that is expanding on the past three years to continue shaping the narrative of ITOps—and to deliver powerful tools to customers and end-users.

    “At Hughes, we are embracing artificial intelligence to optimize our networks and enhance the customer experience, including taking our network operations to the next level of excellence by leveraging AIOps for incident triage and mitigation,” said Karl Fosburg, Senior Director, Network Management & Architecture, Hughes Network Systems, LLC. “ScienceLogic has been a responsive partner in supporting our adoption of AIOps techniques.”

    The Wave’s findings are especially meaningful as the AIOps market itself undergoes a significant transformation. Which providers lead the pack will be dictated by improved analytics and automation. AIOps customers should look for solutions that empower cross-team collaboration through data correlation; provide deep, end-to-end digital experience monitoring; and integrate seamlessly into the whole ITOM toolchain, according to the report.

    “ScienceLogic leads at scale and automated RCA,” or root-cause analysis, Forrester’s Rich Lane wrote in the report. “SL1 applies an algorithmic approach to contextualize and search a real-time data lake that can speed an operations team’s identification of root cause and remediation of incidents. … [Customers say] that the solution has allowed them to grow their businesses without adding staff due to its advanced automation capabilities, including run-book automation, predictive capacity management, automate incident management and CMDB accuracy.”

    Given its rapid evolution, AIOps is becoming increasingly competitive, with shifting dynamics and changing definitions of fundamental categories and criteria. With differing needs, maturity levels, target end-users and perspectives, no two customers will view AIOps—or the experiences AIOps offers—the same way.

    The Wave is a critical guide for organizations aligning with vendors best-suited for their specific needs—today and in the future, according to their maturity levels, trajectory and goals.

    “The journey to AIOps begins with foundational building blocks and capitalizes on service-centric management that eschews the limitations of device-level monitoring and boosts application health, resolution time, and user experience,” said Dave Link, ScienceLogic CEO. “A service-oriented perspective provides context and understanding of relationships and dependencies in IT infrastructure—ultimately impacting service and experience—holistically visualizing risk and mitigation strategies. These are the results of a layered roadmap that connects fundamental principles and advanced functionalities.”

    Recognizing both the disruptive nature of the competitively transforming landscape as well as ScienceLogic’s clear role in shaping the future of ITOps, the company remains committed to refining user experience and enhancing access to metrics-based intelligence, and to pushing the boundaries of the novel strengths that serve as key market differentiators.

    Additional Resources 

    Download Report: Forrester Wave 2020

    Blog: ScienceLogic Named One of AIOps’ Leaders in Key Market Report

    Video: ScienceLogic CEO Dave Link on Forrester Wave: Redefining AIOps 

     

    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across multi-cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations across the globe, ScienceLogic’s technology is designed for the rigorous security requirements of the United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com

  • ScienceLogic Eclipses AIOps Competition in EMA Report, Signals Mainstream Adoption of AIOps

    Outperforms 17 vendors in key use cases, illustrating dominance in leveraging AIOps to deliver resilient customer experiences

    EMA Radar Ranks ScienceLogic:

    #1 “Value Leader” in Incident, Performance, & Availability Management for Product Strength

    “Strong Value” in Business Impact and IT-to-Business Alignment

    “Strong Value” in Change Impact and Capacity Optimization

    Reston, VA – Sept. 10, 2020 – ScienceLogic, a top provider of monitoring solutions for multi-cloud management and hybrid IT infrastructure, once again leads the way in the inaugural Enterprise Management Associates (EMA) AIOps Radar Report. This latest recognition cements ScienceLogic’s leadership in the AIOps industry and its reputation for delivering resilient and automated IT operations.

    “In an evolving market where ‘AIOps’ is too often simply a branding move, ScienceLogic stands out as a true leader in industry advances—unifying stakeholders to deliver on the promise of transforming business delivery,” said EMA’s Dennis Nils Drogseth, the report’s author. “Their exceptional impact across all three use cases is a culmination of some of the platform’s most notable core strengths. That includes supporting business services from both top-down and bottom-up perspectives, delivering compelling outcomes, and scaling to a level that can assimilate thousands of different sources while also bringing in more than 10 million data points in less than five minutes.”

     As further detailed in the report and supplementary customer feedback, ScienceLogic was recognized for its highly scalable, “richly assimilative” SL1 platform. This automated solution employs analytics and machine learning to assess operational data in real-time across the IT estate, delivering service-level insights that directly impact business outcomes. With SL1, managed service providers (MSPs), large enterprises and global systems integrators (GSIs) can proactively avoid service outages using AI-enabled performance baselines and behavioral correlation.

    “The findings in the EMA report are a powerful validation of the technology investments ScienceLogic has made since its inception, addressing the needs of increasingly large and complex IT estates,” said Michael Nappi, ScienceLogic Chief Product Officer. “Our data collection mechanisms, for example, are extremely capable—ingesting huge volumes and varieties of data across multiple protocols to feed a comprehensive data lake representing IT artifacts and their relationships. Getting the data right is the hardest problem in AIOps—and this is an area where SL1 really shines. With this authoritative data platform in place, our machine learning algorithms can be applied to great effect: efficiently reasoning over the data to derive actionable insights, which in turn drive increased service health and availability for our customers.”

    Other differentiating features of ScienceLogic SL1:

    ● Business service views radically simplify the management of large IT estates

    ● Behavioral correlation extends traditional event correlation with AI/ML

    ● Low code automation with Powerflow allows for rapid creation of automated workflows and integrations

    “We evaluated ScienceLogic against other solutions [and] SL1 stood out as a provider of automation, machine learning and integration. The resulting ease of use, customization and support for nearly every tech vendor gave us the most bang for our buck,” said Doug James, Director of Technology and Business Management, NetDesign. “Now, we’re socializing proactive and intelligent monitoring in our customer conversations. We’ve taken an area previously considered ‘technical’ or a ‘background task’ and shifted it to our priority topics and value propositions. ScienceLogic has enabled and enhanced this B2B transparency, which has helped us engage our customers and prospects in new and different ways.”

    Additional Resources

    ● Download Report: EMA AIOps Radar

    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its solution sees everything across multi-cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations across the globe, ScienceLogic’s technology is designed for the rigorous security requirements of the United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com

    About EMA

    Founded in 1996, EMA is a leading industry analyst firm that specializes in providing deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices and in-depth knowledge of current and planned vendor solutions to help their clients achieve their goals. Learn more about EMA research, analysis and consulting services for enterprise line of business users, IT professionals and IT vendors at https://www.enterprisemanagement.com.

  • ScienceLogic’s Behavior-Based Monitoring Forges a New Path for IT Service Delivery

    Pioneers a new AIOps approach to troubleshooting and remediating service disruptions using real-time anomaly detection across multimodal data types

    Supporting Resources:

    Beyond Event Correlation – Building a Brighter Future with Behavior-Based AIOps

    RESTON, VA—ScienceLogic, a leading provider of monitoring solutions for multi-cloud management and hybrid IT infrastructure, today unveiled its latest innovation in context-infused AIOps. With the introduction of Behavioral Correlation, ScienceLogic is transforming how IT teams identify, troubleshoot and remediate service-disrupting events—before end-user impact can even be detected.

    Modern IT environments breed complexity through the proliferation of applications and data, outstripping human capacity for analysis and response. Operations teams pressured to hunt down and fix customer-impacting IT events are often constrained by antiquated methods founded on human-centered analyses. With Behavioral Correlation, ScienceLogic introduces a radically more efficient approach, leveraging machine-speed detection and remediation. Real-time service health and risk can now be understood at a glance, allowing IT teams to rapidly address issues when they occur or even intercept potential service-impacting issues before they happen.

    Behavioral Correlation for ScienceLogic SL1 is delivered through tightly integrated core capabilities:

    • A comprehensive, real-time data lake that captures multimodal data types and their relationships
    • The ability to map and visualize IT services, their underlying dependencies, and associated health, availability, and risk
    • Machine-learning techniques that reason over these service topologies to detect the root cause of issues or anomalous behavior, and can recommend actions to address

    The end result is a system that provides holistic visibility into complex IT estates through an intuitive, service-centric lens. Decision-makers can quickly understand the impact, root causes, and relative priority – ensuring IT is spending time on what matters most to the business.

    “This is a game-changing innovation that buries the old-school, reactionary approach to IT event management. We can now instantly provide a real-time picture across the entire ephemeral state of IT – pinpointing where service degradation is happening, which issues should be prioritized, and the potential business impact,” said Dave Link, ScienceLogic CEO. “The cohesive, service-level view alleviates IT teams scrambling from one incident to the next and empowers providers worldwide to deliver a resilient customer experience.”

    With IT teams free from the 1990s war rooms and defensive positions battling “event storms,” they can embrace a new standard for situational awareness to help drive faster root-cause analysis and time to resolution.

    ScienceLogic customers will be able to access this new capability through the latest Colosseum Release due out in late Q2, 2020. Current users can see a live demo at the upcoming virtual ScienceLogic Symposium on April 21 & 22.

    Supporting Resources:

    Beyond Event Correlation – Building a Brighter Future with Behavior-Based AIOps

    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its solution sees everything across multi-cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations across the globe, ScienceLogic’s technology is designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com

  • Unlocking the Power of AIOps

    Unlocking the Power of AIOps

    AIOps is becoming quite the hot topic lately. It seems as though everyone is realizing that Ops is difficult. As we have to deal with more big data at greater velocity with more automation and complexity, there is no way humans alone can tame the beast. AIOps seems to be the answer.

    I recently sat down with Dave Link, CEO and founder of ScienceLogic to discuss how to unlock the power of AIOps to empower IT ops. We video taped the conversation, along with some accompanying slides that help explain what the challenges are that ops faces and what are some of the ways to tackle this using AIOps.

    I should mention that Dave and I are old friends, having worked together 20-plus years ago at a dotcom era company called Interliant. Since 2003 or so I have watched Dave build ScienceLogic into the powerhouse it is today. I couldn’t be more happy and proud of him.

    ScienceLogic has been named by EMA as a top vendor in the AI/ML for IT Operations. Dave gives us a good background on ScienceLogic as well as a good background on the use cases and challenges that IT Ops faces that AIOps seems to be the answer for.

    Dave also talks about the differences between AI and machine learning or ML. This seems to be an area of confusion today as well.

    The video is about 30 minutes and excuse Dave and I reminiscing, but there is some really great information here.

    Video on AIOps

     

    — Alan Shimel

  • Enterprise Management Associates Names ScienceLogic as Top AI/ML Vendor for IT Operations

    ScienceLogic recognized for bringing context to data essential to AIOps

     

    RESTON, Va.–(BUSINESS WIRE)–ScienceLogic, a leader in context-infused Artificial Intelligence for IT Operations (AIOps) and using data to provide IT operations with actionable insights, today announced that the analyst firm, Enterprise Management Associates (EMA), has named ScienceLogic as a top vendor in its “EMA Top 3 Decision Guide for Artificial Intelligence (AI) and Machine Learning (ML) for Optimizing DevOps, IT Operations, and Business.” This recognition is the result of end-user research, market analysis, technical product reviews, and expert interviews to provide enterprise customers with guidance to optimally benefit from AI and ML.

    EMA recognized ScienceLogic’s SL1 platform, an AIOps automation engine designed to provide comprehensive, business service visibility across the entire application stack. With today’s ephemeral technological landscape, developers spend approximately 25 percent of their time investigating the root cause of application issues that are related to hybrid IT infrastructures.

    “The ability to connect to, ingest, contextualize, normalize, distribute and govern comprehensive IT operations data across data centers and clouds is by far the most important success factor in AIOps,” said Torsten Volk, industry analyst at Enterprise Management Associates. “ScienceLogic SL1 received the EMA Top 3 award for exhibiting the application of ML to create training data essential to AIOps. SL1 can ingest data from any source and establish context through advanced topological graphs across all layers of the application stack, which creates the actionable insights necessary to detect anomalies early, optimize predictive maintenance, and identify root causes without the typical ‘alert storms’.”

    Key benefits of SL1 identified by EMA include:

    • Comprehensive, real-time insights into full-stack IT operations data
    • Continuously updated topology maps provide the required context for AI/ML-driven event noise suppression and anomaly detection
    • Auto-discovery of almost any infrastructure component within its individual application and service context
    • API-accessible, normalized data lake for contextual data analysis through AI/ML solutions or for automatically updating the corporate CMDB

    “Alert floods remain the top pain point among Ops teams, which will only continue to grow with more than a third of enterprises using on average four public cloud providers. As service delivery expectations increase, it becomes far more critical for enterprises to manage and automate processes at machine speed, especially as each of those processes takes place in an increasingly complex, multi-cloud environment,” said Dave Link, founder and CEO at ScienceLogic. “This recognition from EMA is a testament that visibility and context around business service health are critical in solving the industry’s most pressing challenges around IT operations by leveraging the power of AI and ML.”

    EMA’s report provides guidance to enterprise influencers and decision makers on the types of AI and ML solutions they should invest in to optimize DevOps, data center operations, and business. It also awards recognition to the top three vendors EMA believes should be included in product evaluations.

    Additional Resources

    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com/

    About EMA

    Founded in 1996, EMA is a leading industry analyst firm that specializes in providing deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help clients achieve their goals. Learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors at http://www.enterprisemanagement.com

  • ScienceLogic Launches Industry-First Context Infused AIOps Platform

    New ScienceLogic SL1 enables Ops to move at the speed of Dev, so enterprise can move at the speed of opportunity 

    • SL1 levels the field between the pace which Dev creates and Ops deploys and maintains services
    • Two powerful new technologies aided by AI/ML to bring real-time context to operational data and scale automations at machine speed 
    • Innovation allows enterprises to manage Business Service health in real-time by connecting applications to underlying infrastructure for an end-to-end service view  

    Reston, Va. – May 1, 2018 – ScienceLogic, a leader in providing IT operations with actionable insights from IT operational data, today announced the launch of ScienceLogic SL1, its new, industry-defining AIOps platform.

    IT operations is the last great frontier in search of resilient digital experiences. For modern Ops, keeping pace in an increasingly ephemeral world exceeds human cognition, where application and infrastructure workloads traverse multi-cloud architectures and rapidly transition technology landscapes. To thrive, Ops must retool itself, ready to support the demands for service agility, onboarding of new lines of business and ongoing M&A.

    Enter ScienceLogic SL1, which was designed and developed with the specific goal of leveling the playing field between the pace at which Dev can create great digital experiences, and the ability of Ops to make them resilient experiences.

    “Ten years ago, we saw enterprises moving to a state of ephemeral operations, motivated by speed and agility. It started at the infrastructure layer but evolved quickly towards DevOps movements emphasizing service development and rapid release.  Today’s performance management systems must provide operational insights in real-time derived from a deep understanding of dependency mapping between applications and its underlying infrastructure,” said ScienceLogic CEO, Dave Link.

    SL1 understands how mission-critical applications connect to the underlying infrastructure by deriving topology maps, which enable real-time service health views that inform, analyze and act. This context allows businesses to bring meaning across various data silos and generate insights that drive automated actions like never before.

    “As IBM continues to grow our ecosystem around the IBM Services Platform with Watson, it is critical we work with other leading companies who can assist in delivering solutions that augment human intelligence to help improve service provider operations and free up professionals to focus on driving higher value results,” said Bridget Karlin, IBM Services CTO and Vice President of Technology, Innovation & Automation. “In working with ScienceLogic to utilize AI to help enterprises predictively ensure IT success before business services are impacted, we are better enabling our clients to create a resilient digital experience.”

    ScienceLogic SL1 Core Capabilities

    • See– Automated real-time discovery inclusive of applications and infrastructure across IT silos and multi-cloud environments
    • Contextualize– Automated topology maps to establish real-time relationships between disparate data sets bringing context to data
    • Act– Automated issue discovery and subsequent remediation across a diverse range of technologies including CMDB (Configuration Management Database), DevOps and APM (Application Performance Management)

    SL1 Innovative Technologies at Work

    • PowerMap– If context is king for AIOps, PowerMap is what provides that context. PowerMap creates a multi-dimensional topological map of dependencies in real-time between all components and across all layers of technology – providing immediate context to the underlying raw data. This becomes a crucial input source for Machine Learning engines to provide actionable insights and automations.
    • PowerSync– If automation is the endgame of AIOps, PowerSync is the engine that powers it.  By providing a universal communication bridge to get data in, share data out and keep data synchronized, PowerSync breaks down the data silos that currently limit automation.   It provides multi-directional and intelligent data transformations asynchronously and concurrently among any number of platforms.  PowerSync completes the story with a powerful automation engine to enact change to the environment.

    Early Customer Feedback

    “Our partnership with ScienceLogic plays a key part in our expanding digital workplace offering, ensuring resilient customer experiences through intelligent discovery, data normalization and proactive management of edge to data center services,” said Norihisa Takayama, General Manager for Digital Workplace at Konica Minolta. “Within Workplace Hub, our scalable IT ecosystem that helps organisations orchestrate their physical and digital resources, SL1 provides service health visibility through automated discovery of IoT edge devices to service cognition via real-time ephemeral application to infrastructure mapping. In addition, SL1 can analyze and connect millions of metrics per second, enabled by a horizontally scalable NoSQL architecture and a topology-based analytics engine. This enables automated root cause analysis, proactive remediation, and smart provisioning to millions of edge devices via our AI enabled management platform.”

    “Flexential is a long-time partner of ScienceLogic, focused on helping customers optimize their IT transformation journey,” said Jim Parks SVP, Central Operations at Flexential. “ScienceLogic’s SL1 will help us become more competitive and address new opportunities by creating new advanced services that combine business service visibility with applications and infrastructure views – while giving our operations team greater levels of automation to help us deliver outstanding service quality.”

    “T-Systems is solving major enterprise challenges by partnering with ScienceLogic,” said Thorsten Meyer, Product Manager at T-Systems. “ScienceLogic SL1 helps enterprises to manage business services cost-effectively. Through real-time Business dashboards, our customers can understand application and service health across the underlying transient infrastructure of clouds, microservices, and containers. The unified business service, applications and infrastructure visibility in ScienceLogic SL1 will enable us to create compelling new managed services for business-critical functions”.

    Industry Analysis

    “Modern IT systems — with their modularity, dynamism, and distributedness — require a multi-perspective approach even to understand what is happening as they are being observed, let alone to project their future or to determine the causes that got them to where they are. Hence, enterprises should select those AIOps platforms that are capable of ingesting and analyzing data from a multiplicity of sources.”

    • Gartner Market Guide for AIOps Platforms, August 2017

    ScienceLogic recorded a video podcast with Forrester Principal Analyst Charles Betz, who discussed the importance of Cognitive Ops and Information Management:

    “There have been some real limitations with how we’ve approached the problem of infrastructure management. You have silos of data in the CMDB, APM, log managers, and aggregation, end-user experience monitoring and more. But it’s not really being effectively brought together, let alone with the human-to-human telemetry. We need cognitive operations in a closely human-partnered way to enable operators to dig down very quickly […] and pursue specific hypothesis in real-time and at high-tempo in high-consequence situations.”

    –      Charles Betz, Forrester

    Additional Resources 

    Learn more about ScienceLogic SL1

    Podcast: “Cognitive Ops and Information Management” with Forrester Principal Analyst Charles Betz

    Schedule a demo today!

    SL1 Patent – Component Detection and Management using Relationships (DCM-R)

    About ScienceLogic

    ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises.

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    Media Contact

    Sage Communications (for ScienceLogic)

    Brian Kelley

    703-533-1618

    bkelley@aboutsage.com