Logz.io

We’re proud to support Wildlife Studios for their log ingestion, storage, analysis, and AI-assisted investigation needs - since 2020! Our AI agents help the team surface patterns, correlations, and anomalies across services and clusters to quickly identify issues and accelerate troubleshooting. Thanks to Logz.io, the Wildlife Studios team saves 100s of engineering hours, improves cost visibility and optimization, and enhances incident response. But don’t take it from us, here’s what Rafael Torres, SRE manager, has to say. Read the full case study: https://lnkd.in/dvMYDfS6 #WildlifeStudios #AI #Observability #SRE #DevOps

Feedback like this reinforces what we focus on at Logz.io. In production, observability is measured by how quickly teams can understand what’s happening and move forward with confidence. When search, visualization, and alerting work together naturally, and teams are backed by responsive support, investigations become faster and more reliable. #Observability #AI #SRE #DevOps #IncidentResponse

We’re hiring! Great people, meaningful challenges, and a team that truly cares about impact. New positions opened - from Director of Technical Account Management to Senior Backend / GenAI Engineers, BI Engineers, and more. Take a look at our open roles and feel free to reach out or apply --> https://lnkd.in/dZGkpBjw #WereHiring #Career #NewJobOpening

Wildlife Studios freed up 100s of engineering hours & accelerated troubleshooting with Logz.io. As Latin America’s largest gaming company, Wildlife Studios was running an in-house Elasticsearch and Kibana stack facing high maintenance overhead, a lack of standardization, and reliability issues. After switching to our AI Agent for investigation, log ingestion, storage, and analysis, the impact was clear: • Hundreds of developer hours saved • Faster incident response and root cause analysis • Higher infrastructure reliability • Improved cost visibility and optimization Watch the full case study with Rafael Torres, SRE Manager at Wildlife Studios, and see how you can cut MTTR and free up engineering time: https://lnkd.in/dvMYDfS6 #WildlifeStudios #AI #Observability #SRE #DevOps

Is your observability stack explaining incidents or just reporting them? This video from David Lotan Bolotnikoff’s presentation with PagerDuty at re:Invent shows what stops teams from debugging the same incident twice👇 By connecting observability data with incident response, team can now: *Run root cause analysis that actually learns from history *Identify recurring patterns across incidents *Surface past solutions when similar issues arise *Cut MTTR significantly The result? Engineers spend less time reinventing the wheel and more time building what matters. #reInvent #PagerDuty #Observability #MTTR #DevOps #SRE

“How do you deal with hallucinations and trust in AI responses? And why doesn’t AI tell us how confident it is?” Asaf Yigal answered: AI is non-deterministic. Hallucinations will happen. But even if AI solves 70-80% of common operational problems, the value compared to manual processes is massive. With validation, re-asking, and guardrails, trust grows - and accuracy improves over time. If you are curious to hear more about how we are training our AI Agent, here’s the recording: https://lnkd.in/dR9szP2t #Webinar #Q&A #DevOps #SRE #AI #Observability

If you're observability still looks like it's 2016 - it's time for a change. #Observability #DevOps #SRE #AI-Observability

Distributed tracing is essential for operating Kubernetes at scale. With zero-code tracing powered by eBPF, Logz now enables instant distributed traces for Kubernetes workloads - no application instrumentation required. Running safely at the kernel level, eBPF delivers low-overhead visibility into service communication, latency, and dependencies, with full correlation to logs and metrics. Read more about its value and how to enable it in minutes: https://lnkd.in/dVhRjmpw #Observability #Kubernetes #eBPF #OpenTelemetry #SRE #DevOps #Open360AI

What can you do with Agentic AI? Logz.io Open 360 AI delivers a cutting-edge, AI-agent-first approach that unifies dashboards, alerts, and telemetry data into a single, intuitive interface. Check out below how AI-powered observability lets you: *Instantly improve investigation and MTTR *De-risk software deployments & boost investigation *Empower teams of any size or skill level *Move from OSS to managed *Manage telemetry costs Here you can learn more: https://logz.io/ #AI #Observability #DevOps #SRE