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Highlights from Google Cloud Next 2024

Over 30,000 people flocked to Las Vegas to see the latest and greatest from Google Cloud and its partners at Google Cloud Next 2024. As a long-time Google Cloud partner and recipient of two Google Cloud Technology Partner of the Year awards this year, we were there in full force to showcase our unified observability and security solutions and engage with the Google Cloud community.

Ep. 19: Cloud Mapping with Simon Wardley

In this episode we are joined by Simon Wardley, a pioneer of Wardley Maps and strategic thinking. Join us as Simon looks back at his foundational days at Canonical, the shaping of Ubuntu’s cloud dominance, and his groundbreaking work on mapping techniques that aid in anticipating technological shifts. He explores the critical role of open source in cloud computing, the impact of serverless architectures, and the futuristic shift towards conversational programming and AI.

Ways to Build Cybersecurity Resilience: Defending Against New Threats

In today's digital age, where cyber threats loom larger and more complex than ever, building cybersecurity resilience isn't just advisable-it's imperative. Each day, new vulnerabilities are discovered and exploited by cybercriminals who are becoming increasingly sophisticated in their methods. This reality makes it crucial for both individuals and organizations to fortify their cyber defenses to protect sensitive data and maintain business continuity.

Generative AI for Kubernetes: Meet K8sGPT Open Source Project

Troubleshooting within Kubernetes environments can be a daunting task. If we could only have a magical artificial intelligence advisor that could gather all the data about what goes on the system, and tell me what’s wrong, and even how to solve it. Wouldn’t it be nice? K8sGPT is a young open source project that uses generative AI to give Kubernetes superpowers to everyone. It recently turned a year old, and is now part of the Cloud Native Computing Foundation (CNCF).

Accelerate incident investigations with Bits AI, Datadog's generative AI co-pilot

Learn how Datadog’s generative AI assistant, Bits AI, can help organizations accelerate incident investigations with auto-generated summarization to get you up to speed quickly, fetch information about past related events, update teams and statuses all through Slack.

Unleashing the Full Potential of GPT

It's fair to say Open AI has truly let the cat out of the bag when it comes to artificial intelligence and, more specifically, large language models. While these things certainly existed before, every company and its mom chose to use the word AI about 100 times per quarterly statement; it has only been recently that it has been unleashed to the masses for them to use for a vast range of projects ranging from implementing them as chatbots to answer customer queries, to helping both casual and professional coders to maximize their output and massively increase efficiency in the process.

AI-powered insights for continuous profiling: introducing Flame graph AI in Grafana Cloud

Like many in the observability space, we see a lot of potential in harnessing AI to enhance the developer experience. As we continue to evolve and expand our observability platform, we strive to develop features that not only solve complex problems, but make it easier to access and derive value from tools like Grafana Pyroscope.

GenAI in Enterprise Service Management #ivanti

Ivanti’s Peter Adams previews his breakout session at ISS 2024, explaining the profound impact that generative AI is already having on enterprise service management as well as what to expect in the near future. Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best.

Exoskeletons not robots

In this clip, Pete explains why we've taken the approach of "exoskeletons, not robots" when building with AI. It’s fair to say that AI is here to stay. So, as companies grapple with this reality, they’re putting their best foot forward to build AI features that really make a difference for their customers. But should you be building these features if there’s no obvious fit in your product? And even if there is, are you making sure to stay true to your product principles?