- Why ScienceLogic
- Main Menu
- Why ScienceLogic
Why ScienceLogic
See why our AI Platform fuels innovation for top-tier organizations.
- Why ScienceLogic
- Customer Enablement
- Trust Center
- Technology Partners
- Pricing
- Contact Us
- Product ToursSee ScienceLogic in actionTake a Tour
Experience the platform and use cases first-hand.
- Platform
- Main Menu
- Platform
Platform
Simplified. Modular-based. Efficient. AI-Enabled.
- Platform Modules
- Core Technologies
- Platform Overview
- Virtual ExperienceSkylar AI RoadmapView Now
Learn about our game-changing AI innovations! Join this virtual experience with our CEO, Dave Link and our Chief Product Officer, Mike Nappi.
- Solutions
- Main Menu
- Solutions
Solutions
From automating workflows to reducing MTTR, there's a solution for your use case.
- By Industry
- By Use Case
- By Initiative
- Explore All Solutions
- Survey ResultsThe Future of AI in IT OperationsGet the Results
What’s holding organizations back from implementing automation and AI in their IT operations?
- Learn
- Main Menu
- Learn
Learn
Catalyze and automate essential operations throughout the organization with these insights.
- Blog
- Community
- Resources
- Events
- Podcasts
- Platform Tours
- Customer Success Stories
- Training & Certification
- Explore All Resources
- 157% Return on InvestmentForrester TEI ReportRead the Report
Forrester examined four enterprises running large, complex IT estates to see the results of an investment in ScienceLogic’s SL1 AIOps platform.
- Company
- Main Menu
- Company
Company
We’re on a mission to make your IT team’s lives easier and your customers happier.
- About Us
- Careers
- Newsroom
- Leadership
- Contact Us
- Congratulations2024 Innovators AwardsView the Winners
See how this year’s winners have demonstrated exceptional creativity and set new standards in leveraging the ScienceLogic AI Platform to solve complex IT Ops challenges.
News Roundup, Dec 2, What’s Happening in AIOps, Observability, and IT Monitoring
On this day in 1964, Beatles drummer and “Yellow Submarine” singer, Ringo Starr had his tonsils removed. Jimmie Nicol became an honorary Beatle for 13 days while Ringo recovered. To ensure your IT organization stays healthy, check out what’s going on today in AIOps, Observability, and IT infrastructure monitoring.
1.) AIOps is raising the bar for asset management.
According to Forbes, AIOps requires upping the game around IT discovery, tagging, metadata management and other key cyber asset management techniques.
The reason cyber asset management is mission-critical for any organization seeking to introduce or expand current AIOps capabilities is that optimal visibility and control of cyber assets and data are required for the AI and ML algorithms at the heart of AIOps to work properly. You can’t just install an AIOps solution and expect it to work flawlessly; significant curation of assets and data within the IT estate needs to happen to increase their levels of business context and usability.
The reason cyber asset management is mission-critical for any organization seeking to introduce or expand current AIOps capabilities is that optimal visibility and control of cyber assets and data are required for the AI and ML algorithms at the heart of AIOps to work properly. You can’t just install an AIOps solution and expect it to work flawlessly; significant curation of assets and data within the IT estate needs to happen to increase their levels of business context and usability.
2.) Observability can help you gain more insights from complex cloud deployments.
This article in InfoWorld discusses what observability means for cloud operations.
Observability as related to cloud operations (cloudOps) normally uses data that’s being extracted from running systems. Organizations use this data not only to determine if something is going wrong, but to figure out why and how to fix it.
Observability enables you to manage and monitor modern systems and applications built to run at faster velocities with more agile features. It is no longer good enough to deploy applications and then bolt on monitoring and management tools. The new tools must do so much more than simply monitor operations data. That’s where observability comes in, and it should be understood by anyone charged with cloudOps.
3.) There are key differences between DevOps and DevSecOps.
This article in Mind Inventory compares DevOps to DevSecOps.
Key similarities:
- Collaborative culture;
- Infrastructure as Code (IAC);
- Active monitoring; and
- Microservices
All that makes DevOps and DevSecOps different from each other is security. It’s just that the former focuses on seamless software development and delivery and the latter considers the security of the application on a prior note (at the beginning of the development process). DevSecOps keeps the security matters involved so that if the vulnerabilities are found later, they do not cause any adverse impact on the security of the application.
4.) Culture is the biggest barrier to DevOps and DevSecOps success.
Betanews reveals that 73 percent of IT decision makers admit more could be done to improve their DevSecOps practices, with many organizations behind in their goals.
It’s culture that is the biggest impediment to success, with 71 percent of respondents agreeing that culture is the biggest barrier to their DevSecOps progress, yet only 16 percent are prioritizing culture as an area to optimize in the next 12-18 months.
Security is seen as the number one driver behind most DevOps and DevSecOps implementations. Yet only 30 percent feel confident in the level of collaboration between security and development, 86 percent experience challenges in their current approaches to security and a worrying 51 percent admit that they don’t fully understand how security fits into DevSecOps.
Just getting started with AIOps and want to learn more? Read the eBook, “Your Guide to Getting Started with AIOps”»