Summit

making cloudy logs visible

[Summit @summitraj]

@sundarpichai Context: https://t.co/YcNW4Eoc0N

[Google AI Developers @googleaidevs]

Introducing Gemini CLI, a light and powerful open-source AI agent that brings Gemini directly into your terminal. >_

Write code, debug, and automate tasks with Gemini 2.5 Pro with industry-leading high usage limits at no cost.

[Sundar Pichai @sundarpichai]

Thanks to our customers + partners who are part of #GoogleCloudNext. We’re sharing how we’re bringing decades of research and innovation to help businesses transform -- Gemini 1.5 Pro is in public preview for Cloud customers and devs, TPU v5p is generally available + more. Excited for the potential of multimodal and long context capabilities to help enterprises do things that weren't possible before. https://t.co/N3K5QAI3R5

[Google Cloud @googlecloud]

Learn how to use Gemini to supercharge your observability game on Google Cloud for your logs, metrics, traces, events and more using Google Cloud Observability.

Add this #GoogleCloudNext session to your agenda → https://t.co/dSh5brn6jf

[Summit @summitraj]

@gazmcghee All existing APIs will keep working after the upgrade. The only current limitation is that CMEK and Field ACLs are not yet supported in Log Analytics, support for which is coming soon.

See the restrictions here: https://t.co/SBX6JHjkQZ

[Summit @summitraj]

Stay tuned for additional features coming soon in this space! What other features would you like in your Logging solution?

[Summit @summitraj]

I'm very excited to announce the GA launch of Log Analytics in @googlecloud. You can analyze large volume of logs in #CloudLogging using SQL queries with no additional costs!

https://t.co/A6G9e55ipu

[Summit @summitraj]

Introducing Log Analytics, a powerful and affordable solution to analyze logs at scale, leveraging the power of #GoogleCloud and #bigquery

@googlecloud https://t.co/MEpwHwO9kr

[Summit @summitraj]

@davidfowl printf debugging FTW!

[Summit @summitraj]

@kelseyhightower @davidfowl It’s definitely a challenge for clients. There’s only so much you can push from a single host. Prioritizing by severity or log type sounds like the right approach.

[Summit @summitraj]

@ManoMarks Is it like test driven development where you write your expected perf packet first before doing the work?

[Summit @summitraj]

@Appyg99 @ishaansang5 I'd love to know more on what's not working with Google Cloud Logging for your use cases. What capabilities are missing?

[Summit @summitraj]

@thomcheezy85 Thanks for the details. How old is the oldest entry?

[Summit @summitraj]

@thomcheezy85 Hi Thomas, What do your requirements look like in terms of ingesting old logs? I would love to understand more of your use case, and see if we can still serve you.

[Summit @summitraj]

@Railway @datadoghq With plethora of logging tools out there, what was the motivation of building this yourself? Was it the cost?

[Summit @summitraj]

@hab_mic Is 100% sampling overwhelming for many clients rather than in the server side? Trace backends can scale up more easily than clients, which may be more resource constrained. Is that also what you have seen?

[Summit @summitraj]

Native support for semi-structured data in BigQuery ! https://t.co/Q4CvffK8by

[Summit @summitraj]

Prodspec and Annealing https://t.co/Sex37Ikvym