Operations | Monitoring | ITSM | DevOps | Cloud

The energy at Cisco Live EMEA in Amsterdam (February 9-13, 2026) was primarily driven by groundbreaking AI announcements, & the event provided Fabrix.ai an opportunity to strengthen our strategic position alongside Cisco and Splunk ecosystems. The event’s focus on AI, highlighted by the recent Cisco AI Summit, emphasizes a clear market direction in which Fabrix.ai is perfectly poised to accelerate innovation.

How database partitioning works in PostgreSQL and MySQL. Range, list, and hash partitioning with SQL examples and guidance on when to partition vs shard. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

How database sharding works, common strategies (hash, range, directory), shard key selection, and the operational cost of running a sharded database in production. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

On February 19, 2026, Trello users around the world began experiencing issues loading boards and accessing their workspaces. StatusGator received the first outage reports at 14:24 UTC and triggered an Early Warning Signal at 14:28 UTC. Trello did not officially acknowledge the incident until 15:08 UTC, after user reports had already subsided. This incident highlights how real time user reports and Early Warning Signals can identify widespread service degradation before providers confirm a problem.

Tune PostgreSQL and MySQL for production with connection pooling, memory configuration, write path optimization, vacuum management, and lock contention fixes. Technical Product Manager at Last9.

For more than two decades, monitoring has been the foundation of IT operations. Organizations invested heavily in tools designed to collect metrics, visualize performance, and trigger alerts when thresholds were breached. This model was effective in an era when infrastructure was largely static, workloads were predictable, and system dependencies were relatively easy to trace. That environment no longer exists.

Why digital experience is now a regulatory priority In regulated industries like financial services, even minor technology friction can quickly become a regulatory risk. Gaps in visibility, slow systems, and inconsistent performance can trigger audit findings, SLA breaches, and increased compliance scrutiny.

LogicMonitor delivers AI cost optimization by unifying infrastructure telemetry, AI-specific signals, and cloud financial data into a single workflow, so teams can move from visibility to continuous, operationalized cost control. In Cost Optimization for AI Workloads: From Visibility to Control, we explored why AI workloads introduce new layers of cost complexity—from GPU-heavy compute and token-based pricing to distributed infrastructure that obscures true spend.

ITOps teams can achieve cost management of AI workloads with an observability platform that connects AI usage and performance with cloud spend for clear visibility and predictability. Behind the buzz around artificial intelligence, or AI, many companies are discovering the hidden and compounding costs of AI adoption.