ScienceLogic’s vision for IT operations isn’t just about improving tools—it’s about changing the entire paradigm, flipping your day-to-day upside down. We’re moving beyond dashboards and alerts, beyond human-only workflows and rules-based systems. The future is autonomous. It’s intelligent. It’s agentic. And it’s already being realized through the power of Skylar™ AI. For far too long,… Continue reading Autonomous Operations Are Here
Category: Observability
Autonomous Operations Are Here
It’s official: ScienceLogic has entered the observability arena. Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, we believe we’re helping define where observability is heading, not just where it’s been. This marks our first inclusion in this Magic Quadrant and, in our opinion, validates our mission to redefine intelligent, actionable observability… Continue reading ScienceLogic Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms
ScienceLogic Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms
No business sets out to tolerate downtime. And yet, across industries, unexpected service disruptions continue to drain revenue, erode customer trust, and expose operational fragility. For CIOs and IT leaders, the real concern isn’t if systems will break, it’s whether your team can outpace the fallout. Because in a crisis, speed isn’t just an advantage… Continue reading The Hidden Cost of Downtime: Why IT Leaders Are Prioritizing Resilient Operations
The Hidden Cost of Downtime: Why IT Leaders Are Prioritizing Resilient Operations
The era of scattered monitoring tools and fragmented operational visibility is over. As hybrid and multi-cloud environments have become the norm rather than the exception, traditional observability approaches—siloed metrics, isolated logs, and disconnected traces—can no longer keep pace with the complexity of modern IT infrastructure. Organizations today need more than just monitoring. They need comprehensive,… Continue reading Observability 2.0: Seeing More, Knowing More, Fixing More
Observability 2.0: Seeing More, Knowing More, Fixing More
Modern IT estates are increasingly complex, generating vast amounts of data – some critical and actionable, but much of it mere noise. Extracting meaningful insights to ensure optimal system health and IT performance is beyond the scope of humans. This is where observability, enhanced by AI and automation, becomes essential. When combined, this modern approach… Continue reading Understanding the Observability Data Lifecycle: From Data Ingestion to Automated Actions
Understanding the Observability Data Lifecycle: From Data Ingestion to Automated Actions
Tool sprawl within organizations doesn’t just create a fragmented user experience; it poses a real threat to enterprises’ bottom lines. Consider these statistics: 50% of organizations use multiple disparate tools to monitor resources, resulting in data silos, longer incident response times, and a fragmented user experience. Despite monitoring many IT systems and services, 47% of… Continue reading Keeping Spending in Check: Observability’s Positive Impact on Cost Management
Keeping Spending in Check: Observability’s Positive Impact on Cost Management
In many ways, the upcoming year is shaping up to be one of opportunity and innovation as IT leaders see more benefits and options around AI than ever before in running the enterprise. By the same token, this progress is creating new complexities and choices for organizations to navigate. Through conversations with ScienceLogic customers, leading… Continue reading Six Enterprise AI Predictions for 2025
Six Enterprise AI Predictions for 2025
As we conclude our three-part series on key observability metrics ScienceLogic monitors, this blog focuses on the analysis and impact of user experience (UX) metrics to shed light on their business impact. Whether it’s an internal business application or a customer-facing platform, a seamless and efficient user experience can significantly impact satisfaction, productivity, and loyalty.… Continue reading Comprehensive Observability: Key User Experience Metrics to Monitor in Cloud Environments
Comprehensive Observability: Key User Experience Metrics to Monitor in Cloud Environments
Enterprises need strong observability to ensure system reliability, proactively detect and resolve issues, optimize performance, enhance security, and maintain seamless business operations across complex distributed environments. The observability, insights and telemetry, like those offered by the ScienceLogic AI Platform and Skylar AI suite of services, can assist businesses in identifying cost savings, informing tool consolidation,… Continue reading Comprehensive Observability: Key Performance Metrics to Monitor in Cloud Environments
Comprehensive Observability: Key Performance Metrics to Monitor in Cloud Environments
As organizations in the public sector continue to undergo what Deloitte has called a “radical transformation” and embrace new, innovative technologies, they’re seeing improvements in everything from agility to customer experience. And, the good news is that innovation tends to breed more innovation, meaning the digital transformation of the last two decades laid the groundwork… Continue reading The Future of Data Compliance in the Public Sector: Trends and Predictions