Operations | Monitoring | ITSM | DevOps | Cloud

February 2024

Tap Into Fully Integrated Hybrid Cloud Monitoring for Faster Resolution

Late last year we announced ScienceLogic’s Hollywood release, aimed at accelerating AIOps adoption through its human-friendly platform. By integrating generative AI insights with observability and automation, we took a big step forward in simplifying the work of IT teams. A key component of this goal was upgrading SL1’s features, specifically our now fully integrated hybrid cloud monitoring for faster troubleshooting.

Introducing Next-Level Innovations on Virtana's AIOps Platform

In an era defined by rapid technological advancements and complex digital infrastructures, implementing advanced capabilities is how IT leaders stay ahead of the curve. We are at the forefront of this revolution, continuously evolving to meet and exceed the demands of modern IT landscapes. Today, we are thrilled to announce a series of innovative features and capabilities designed to transform how organizations manage and optimize their digital environments.

Jumpstart your self-healing IT with BigPanda and Ansible

Imagine a world where IT systems hum along, proactively detecting and resolving issues before they turn into full-blown outages. No frantic fire drills, no late-night heroics, just seamless self-healing powered by automation. It’s the siren song of self-healing IT systems, beckoning every enterprise ITOps team. Despite the allure of streamlined incident response workflows, many attempts at IT automation sink before they can swim.

Navigating the Waters of System Performance: A Deep Dive into a Recent Incident

In digital transactions, even the slightest hiccup can ripple through the system, causing significant disruptions. Our recent encounter with an unexpected system slowdown and a noticeable drop in transaction success rates is a testament to the intricate balance required to maintain seamless operations. This post aims to shed light on the incident, our findings, and the measures we’ve taken to fortify our system against future disturbances.

What Is AIOps (Artificial Intelligence for IT Operations)?

The main challenges in IT operations are ever-increasing complexity, diverse technologies, the relentless pace of change, and the need for a skilled team that can keep in step with the never-ending evolution of technology. Traditional approaches to IT operations struggled to keep up with the sheer volume of data, incidents, and the dynamic nature of modern IT environments.

How to streamline your ITIL incident management process

Are you trying to streamline your sluggish ITIL incident management? Maybe you’re facing challenges with incident routing, lengthy resolution times, or inconsistent team communication. If so, the IT Infrastructure Library (ITIL) can help you improve IT reliability and incident resolution. This blog unveils the secrets to optimizing your ITIL incident management processes to take your incident response from slow to stellar.

Security and Compliance Network Cyber Essentials

Best practices are key when approaching your cybersecurity and compliance strategy, any source of guidance is beneficial. The Cyber Essentials is a UK Government, industry-supported set of best practices introduced by the National Cyber Security Center (NCSC) to help organizations demonstrate operational security maturity.

IT in Motion: The ScienceLogic Innovation Story

ScienceLogic CEO and Co-founder, Dave Link, jumps on the IT in Motion podcast for a special episode revealing our NEW book, Innovation: Journey and Outcomes for the AIOps Revolution. In this episode, Dave discusses the inspiration for writing the book as well as some of his favorite chapters in the story.

Data-centric AIOps: The Next Frontier With Observability Pipelines

Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, “Data-centric AI is the discipline of systematically engineering data to build an AI system.”

Resolving a Critical Incident in Core Banking: A Deep Dive into Application Patch Malfunction

In the dynamic environment of core banking systems, maintaining seamless operations is crucial. However, unforeseen complications can arise, leading to critical incidents that demand immediate and effective resolution. A recent incident involving an application patch malfunction presents a compelling study on the intricacies of managing and resolving system anomalies in real-time.

The Business Cost of Downtime and How AIOps Enables Faster Fixes

IT downtime is no doubt a costly business. As soon as service starts to degrade, companies start to lose money. Studies by Gartner and IBM show that the average cost of unplanned downtime to enterprises ranges between a staggering $5,600 and $9,000 per minute. For ecommerce businesses, like Amazon, the stakes are even higher, potentially resulting in a loss of up to $220,000 for every minute of downtime.

Understanding IT discovery for ITSM and modern IT stacks

IT discovery is the process of systematically identifying all existing IT components within a tech stack. It involves discovering hardware and software, understanding their configurations, and mapping their interdependencies. Much like your annual doctor visit can proactively identify potential health issues, your IT discovery process can also flag problems and deliver insights to ensure improved operational well-being.

ScienceLogic Chronicles Pioneering AIOps Journey in New Book "Innovation: Empowering IT Operations for the Future"

ScienceLogic announces the publishing of a new book, "Innovation: Journey and Outcomes for the AIOps Revolution," that chronicles the journey of the company as a trailblazer in IT Operations Management (ITOM) and the ever-expanding realm of AIOps. Authored by CEO David Link, the book delves into the narrative of how the ScienceLogic SL1 platform has grown to empower organizations to navigate the intricate challenges of managing complex, distributed IT services with unparalleled speed, scale, and real-time precision.

How We Fixed a Big Memory Problem on an App Server written in C++

In server management, high memory utilization is more than just a metric; it’s like a lighthouse signaling potential performance degradation, service disruption, and, in severe cases, complete system downtimes. Here we delve into a recent incident involving an App Server for one of our customers, which underscores the criticality of proactive monitoring, swift incident response, and strategic problem resolution.
Sponsored Post

Take control of all your Telemetry Data with CloudFabrix Robotic Observability Pipelines

CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Data Observability Pipelines” for dynamic Data Ingestion and automation for any data source and destination. The solution acts as a data management and integration service that uses robotic processes to automate data tasks, such as data integration, data ingestion, cleansing, transformation, and enrichment. Automated data management saves time, improves data quality, and streamlines data workflows.

Alert payload standardization: Your secret to better AIOps alert correlation

Monitoring tools share alerts in a variety of formats, with inconsistent data points and crucial information missing. That leaves you and your team stuck in the middle, trying to analyze and act on incomplete or irrelevant alerts requiring lots of manual intervention, time, and energy to communicate and coordinate during incident response. Standardizing your alert payloads is a key starting point if you want to improve your alert correlation.

The Future of AIOps: Top 10 Predictions for 2024

In the current competitive landscape, organizations are constantly pressured to increase efficiency, flexibility, and scale in response to market demands. Artificial Intelligence for IT operations (AIOps) is emerging as a pivotal technology to help companies meet these imperatives and secure a competitive edge.