Operations | Monitoring | ITSM | DevOps | Cloud

Ways Automation Can Streamline Your Customer Service Processes

Customer expectations continue to grow as technology advances. People want quick responses, personalized interactions, and consistent support across multiple channels. Businesses that fail to keep up risk losing loyalty. Automation offers a practical solution by enhancing customer service efficiency while maintaining a human touch. When implemented correctly, automation improves satisfaction, accuracy, and productivity across every stage of the customer experience.

What we learnt from our panel discussion on AI in the UK

At Civo Navigate London 2025, we hosted a panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik to discuss the latest trends and challenges in AI adoption. Through this conversation, the panelists covered topics such as the current state of AI adoption to the challenges of scaling AI, and the future of work.

Meet Olly - The Coralogix AI Observability Agent (Demo)

Olly is Coralogix’s AI-native observability agent that makes observability data fast, accessible, and actionable—for everyone. Traditionally, teams have spent valuable time piecing together dashboards and writing queries to troubleshoot issues. Olly changes that by letting you ask real questions in natural language and delivering instant, intelligent answers from across your logs, metrics, and traces.

Demo Roundups! What's New in Schedules: Flexible Shifts + AI Conflict Resolution

Manual scheduling and on-call gaps cost your team sleep and sanity. Join us for a demo of PagerDuty's latest schedule experience improvements. From iCal-compatible shift management to AI-powered conflict resolution, see firsthand how to build bulletproof on-call coverage with minimal operational overhead.

New Feature Friday: Ask Your Engineering Metrics Anything | Cortex Engineering Intelligence for MCP

What if you could analyze your engineering metrics — just by asking a question? Now you can. Introducing Engineering Intelligence for MCP, a new Cortex feature that lets you query your engineering data through AI systems like Claude or Cursor. No dashboards. No BI setup. Just ask: “What’s driving our cycle time?” “Show me Q3 deployment trends.” “Where are our bottlenecks?” Cortex connects your real engineering data to your favorite AI client, so you can get instant, conversational insights on delivery, quality, and team performance — all without leaving your IDE.

The Future of Social Media Marketing: Trends to Watch in 2025-2026

I'll be honest with you-predicting the future of social media feels a bit like trying to catch lightning in a bottle. Just when you think you've figured it out, everything changes. Remember when we all thought Instagram was just for pretty food photos? Or when TikTok was "just a dancing app"? But here's the thing: while platforms evolve and features come and go, there are clear patterns emerging that tell us where we're heading. And if you're running a business or building a brand, paying attention to these trends isn't optional anymore-it's survival.

Clarity in the Dojo: The power of the Summary Agent

In the dojo, not every role is about throwing punches. Some roles are about awareness, the unmistakable voice that tells the fighter when to move, where the strike is coming from, and why the opponent matters. That’s the role of the Summary Agent in Sumo Logic Dojo AI. Unlike a traditional agent, it doesn’t launch queries or carry out actions on its own. Its purpose is to narrate, not act. In doing so, it becomes the foundation for every other decision in the dojo.

Scale Chaos Engineering with Automation and AI

Chaos Engineering and Fault Injection testing have been proven to prevent outages, increase availability, and help companies avoid costly downtime. But without the right processes or tools, they require specialized knowledge, a deep understanding of systems, and manual effort for every test. To fully realize the benefits of Chaos Engineering, testing needs to be adopted across all engineering teams without causing a lift or investment that takes away from roadmap progress.