Operations | Monitoring | ITSM | DevOps | Cloud

Most IT leaders realize that automating repetitive, low-level incident response actions is vital to multiple benefits. To name just a few, these include: In IT, incident response refers to addressing any event that disrupts normal service, application, security operation, or performance. Using AI and machine learning, automation addresses incident analysis, detection, investigation, triage, and response. The question is often identifying where to start or the best approach.

In today’s fast-paced digital business landscape, IT service management teams face immense pressure to swiftly adapt to new technologies and meet stringent SLAs. To ensure optimal customer experiences and drive business growth, organizations need an approach that goes beyond current AIOps and semi-autonomous market offerings – they need Autonomic IT. Imagine a self-managing IT environment that monitors and optimizes technology investments as it runs.

Network topology describes how a network‘s nodes, connections, and devices physically arrange and interconnect, as well as how they communicate. The arrangement or configuration of a network’s components plays a crucial role in ensuring smooth ITOps with minimum downtime. Any issues in the network can disrupt operations, leading to potentially dire consequences. To prevent this, you need to understand your network functionality and structure.

Fragmented insights. Limited visibility. Unreliable solutions. For too long, traditional IT tools have not just failed – they’ve actively sabotaged both IT departments and businesses at large. These antiquated systems drain high-value engineering resources, crush frontline support teams, and turn problem resolution into an endless, futile struggle. In an age where AI reshapes entire industries overnight, clinging to these traditional IT approaches border on organizational malpractice.

Lack of communication between IT operations and ITSM teams results in data silos. And data silos make it challenging, if not impossible, to solve problems efficiently. One-third of ITOps professionals say that gathering business context is the biggest challenge to effective incident response and management, according to EMA Research.

The lines between IT service management (ITSM) and AIOps are blurring. The Gartner Hype Cycle for ITSM, 20241 discusses this exciting convergence. Traditionally, ITSM has focused on structured processes and best practices. AIOps brings valuable new capabilities to service management, including automation, correlation, machine learning, and real-time insights. This convergence augments established ITSM frameworks and processes rather than replace them.

In the past, IT was viewed primarily as a facilitator for business operations, overseeing systems, software, and applications essential to technology-driven enterprises. However, a new strategic approach has emerged that has transformed how organizations manage their IT services.

On July 19, 2024, a significant outage impacted globally, causing widespread disruptions across various industries. This outage was primarily linked to a faulty update from CrowdStrike’s Falcon Sensor, which led to severe issues on Windows systems. CrowdStrike is a leading cybersecurity company that specializes in protecting businesses from online threats.

Splunk and CloudFabrix are both powerful tools in the realm of IT operations management, but they serve different primary functions, have different use cases and are complementary to each other. Splunk focuses on organizations requiring real-time visibility into IT operations with powerful search and analysis capabilities for large volumes of data, real-time monitoring and alerting for IT operations, log management, security incident response, Observability, and rich visualizations for AIOps.

Service operations (ServiceOps) is a technology-enabled approach that unifies IT operations and IT service (ITSM) teams and facilitates frictionless collaboration for more effective incident management. ServiceOps combines people, processes, and technology to improve visibility, workflows, and collaboration between otherwise siloed departments. Organizations of all sizes and industries worldwide have adopted ServiceOps.

In a previous post, we discussed initiating your AIOps journey. Now, we’re exploring best practices for progressing through each phase of the maturity journey. In these posts, we’ll focus on how to get started, proven techniques, key participants, and how to measure success.

IT modernization is imperative to an agile, productive, citizen-centric, and cost-efficient government. It’s also codified as a key objective of many mandates and guidelines. But as mission-critical as IT modernization initiatives are, they are also fraught with risk and operational challenges, including: To overcome these barriers to streamlined IT operations, government leaders should rely on artificial intelligence for IT operations (AIOps).

As technology evolves, so does the language we use to describe it. Not surprisingly, IT operations have evolved dramatically since 2016. Given these changes and enhancements in artificial intelligence, the industry is overdue for an updated definition of AIOps platforms. AIOps isn’t going away, but we are changing some ways we talk about it. In the Gartner Hype Cycle for ITSM, 2024, Gartner announced new phrasing to describe the technology used in event management.

Selector returned to Networking Field Day this year to present our latest developments in network AIOps. Cofounder and CTO Nitin Kumar, along with VP Solutions Engineering Debashis Mohanty and Principal Solution Architect John Heintz, explored how Selector’s GenAI-driven conversational interface promises to not only address today’s network operations challenges, but transform the industry. Read on to catch the highlights of the live-streamed presentation which occurred on July 11, 2024.

Financial services companies enable a steady stream of intricate transactions—all of which are underpinned by an increasingly complex array of systems, services, and applications. Many forward-looking financial institutions have evolved to include multiple clouds, hyper-converged infrastructures, virtual machines, and containers to house massive quantities of transactional data and processes.

Financial services firms face a multitude of complex IT challenges. Banking is a 24×7 affair, and firms must ensure their infrastructure is “always on” — consistently running at the highest efficiency and reliability. Banking customers also expect frictionless experiences across mobile and digital banking services. Slow application response times and service outages are simply not an option. Commercial banking is also competitive.

ServiceOps is a technology-enabled approach that unifies IT operations and IT service management (ITSM) teams to improve incident management. In a recent survey of more than 400 global IT leaders by Enterprise Management Associates (EMA), 96% of respondents reported positive results from implementing the approach. Adoption rates are high: 75% have either an active effort or a formal initiative to streamline collaboration between ITSM and ITOps teams.

ScienceLogic, a leader in automated IT infrastructure monitoring and AIOps, has won the “Best AIOps Platform” award in the seventh annual AI Breakthrough Awards! Run by Tech Breakthrough, a leading market intelligence and recognition platform for today’s most competitive global technology markets, the awards highlight some of the world’s most innovative artificial intelligence (AI) companies, technologies, and products.

Achieving ZeroSec observability has long been the ultimate goal, yet it remains elusive despite countless hours and sleepless nights dedicated to the cause. A recent discussion with a client underscored the persistent challenges that many organizations continue to struggle with in this pursuit. They had all the right tools in place yet faced significant issues that prevented them from achieving a smooth run of the applications.