e Cloud By Richard Seroter  
<mailto:rseroter@google.com>

New and shiny

Your agents got an upgrade with the new Vertex AI Agent Engine Memory Bank.

Our interactions with agents may span sessions and extend for some time.  
You’ve had to solve this with your own state solutions. But with the new  
Memory Bank, you get a managed service that “just works” for agents running  
in Vertex AI Agent Engine. See the blog post  
<https://c.gle/ANiao5qgzk5MVvAQ-IPLENmTW3Igod6ENM5CjCBwupfod5VnLInQNfLtfKUQSijViI-qt3BMDdHk4kPqTaTYUnSdcw5DWvGh_4YZBk3NVc12eLd51YqQe-ZznqSWmWjDVb8rOai5AFkz8KtLL_gkkPuBfdTtYMG_j5AMjSleCMDt_9Eq9CE11kZb6bzQ-Pje_jFEBN-L0qttIamQ2miMi_9ZM_01mIZAypr6mVocFpwp3NjNc5uq>  
and docs  
<https://c.gle/ANiao5rKV9pSBVfrMBGEOakQe5uKhu4kLNDvDuJjZr6XSNzmP9WiOKzQfeKgjvIjKqaNGOcEnrAA3O9oz3_esE3FTeaydI-6yRKRK5tNVe-N7BSAME9WdRnmFETX7LpwKJIhkoOmQjdaw8oFLPVVMK55GVb1Yb5K9YbK7qdFh-wSCYM7-2Do0ercvBdhDaE7FF83f1Ivu8AprMLCFY5yNcjkrvJvQ077>  
for more.

BigQuery gets some powerful new aggregation functions.

This won’t appeal to all of you, but to those dealing with rich data sets,  
this might be a BIG deal. These three new categories of aggregation  
functions  
<https://c.gle/ANiao5r2F9QEN-lsDcHvtYWgpYAz4Z51ZOIeFGFe1zWHVu3sywPq6Pp7mz343WnzIFaBZVFnz0-wGgNbEnfztA0nQ0B3C7dNaTouGX48DZwGq0NNe5PrKRrK4e4qzPp6-eLMO1eG3RcXtaEuvasNcm64NKNiUPVGSrw2dwkUbiOFplTThMZRoZye6tCnLFlbFXdalDPIXXQuDC-8F7s60_yCjQYM1jzTapqKfr2FKKm1hwVZxwp97_lgxWp02hcigrxr9E4e6YSmBVrRtRC3p-4y>—group  
by extension, user-defined aggregation functions, and approximate aggregate  
functions—may introduce massive performance and efficiency improvements.

Cloud Run introduces worker pools and new Docker integrations.

How do you deploy a background task that continuously chomps on work? Now  
you can run these in Cloud Run worker  
pools.<https://c.gle/ANiao5o0zljlO6pmmq4kl20ZF0ywBf4fuU6pXN2JnIVY9vS22tBhqTFRQv0hAgcenHxzvbrSS9vregjVvhXg9377f8N1gON2B_8uTzO5Q9ou2G8qDugPJX4veQs16XAEHtYwmtOpIbXxm-72ZLDJ4nLifM66zEHODQc8sNDi4TbdeFVJUxffu69jjm_0oyl5g_tq_-0>  
It’s great for processing data from Apache Kafka, and we also introduced a  
new open source Cloud Run Kafka Autoscaler.  
<https://c.gle/ANiao5quGXlWJYfk6z6vs4FSBTdQxzWwBqW7ADLFONQtIi3zg0gUazCzgSDzOrrCqurutM1LOkhkMhgdhjUETSJ8taQr0infIRyzgq0H2-gfi4aTGhR2n3XB1gQ-e6ruguA0a8hfBArwS8Lfi3INPIbL5mYbfBbTj3aHgr4_2snLgDQawknjxaT2l62VBFLWbiimRujLfMLtHh7RYOHQmTVk2I4vuuhXJmLD7MS16EfAWrup0SEKetvQ9ukobvFHDg>  
We also shared new integrations that make it easier to deploy Docker  
Compose definitions to Cloud  
Run.<https://c.gle/ANiao5oerKftaQMM4mxwuVbbq64Cyl5qolQBBR9JcxxFfmzoJDyzOrKybKR2yocf5BrlYhZ5TYk0cRh0y7uO3JlwlD-SPyhu12QNj2AY7awehzj7819f0bieLu3FaJhzD4EMxuvrpNf4khQfqTQcAKGL2WcJFJqBQVtya-SvAasXQpV_h1z5PxeLUV1g_f7xEctRK3YasbJ0bu0cs1NGF0cKI1rC3-fldPW0gzdg-6JK37XYWZeKnM-TWDh7Ls2ihBKSyl-VVyrUUbzzw2OJ8H-D>  
Dig into all this new functionality.

Watch this

Take a fun tour through agent building tech.

Here’s an excellent video that uses great imagery and code to clearly  
explain concepts like agents, tools, and MCP.

A captured graphic of a Google Cloud video where Megan is explaining the  
types of tools that ADK provides to agent builders.  
<https://c.gle/ANiao5pQYwkpGo7gHskO4cDKO5AlJ8gP0ycG-g7aw3_zBiahNfEVDa7mWa3lZHkHIuWZ5-N4O5wJ3LT4n49QT9sTcYaq_mYHOkK-C9vcDNElHxAIUGRRDgkgoQtfR7MDX2Ac7AbXovdq9p6Z_4yrwAxew_NhPefiJcWpSw>

Community cuts

Send emails from Google Cloud using the Application Integration service.

It’s true we don’t offer a built-in managed email service. But you can  
still send emails directly from your cloud apps using the Send Mail task  
included in the Application Integration service. Learn more in this blog  
post.  
<https://c.gle/ANiao5pQYuTkZmvDYGG4K8SHg2BG-BHvZBinwvyHATjXEzGPa6vTtWQ8AMHWjjQNlNNFfqKxftMbvhtpRMUSFhrExqCN6bSWsC2tD80cTdo6AeYG6F1TnSxDo_uhhTAj-ACMiCrbZ6XBg8qFZ3suXV6D9HNE23nHpJ7zi_EXYeXhu63yF_k9cL8ggpfO_8lstCdQp0OvaVyOguaji3fDmc-DW1O8Egq8F8Lq-6xAhYMdNXVO9savJm7ku6-2HuEFDJstAnPajZ2f0F5ZZyijhWzAzZt4zFTgDbU5tSWSvRLNqn3IQXrWuA>

Which service mesh is right for you?

It’s the age-old question: managed service or run it yourself? We give you  
both options in Google Cloud. Rahul and Shrey compare the managed and  
unmanaged flavors of Google Cloud Service Mesh.  
<https://c.gle/ANiao5r4KKSt5-j4c6roF0C-7FfIiLmQMkThd5Fy3mFAtjmcDng4R-zfGqBT6yQzG1Y9PAm_ZCRQgVYbM9KAnFjepG24NytnKAdA7Ui-1sonLi-2WI3cerUVGV1S4XTJxyzFpIC4gmaY4y6JM_hL0bqEp8bYcIHP61PK55CcqCU9T0S5v60QcKOH9_7_-zmIC7EeoEpbQzPnzD3WVRiVNVydzrjeWinyJZWUlVQO7yyqTvkOTk5wYH2hyqyhh1xdr3xuTfuYsK0KsrYVz6xy3ok2fxxHCcyS4oHz2SINjUivj0hxuXQXb0VRoyvG5M51VLteKpZqIU0lCDcb6cU>

Building and evaluating ADK agents.

Our friends at W&B wrote up a good look at the Agent Development Kit  
<https://c.gle/ANiao5qZ-jMfCmazQed74AT0w8nGUt4uOqvq6PDaVVIcuP0pg9Q_2VNbJkV_oZnIaQZsYeTQs817GaegVtwuvWJj3W-vhAVaJm7ybEpZZ-2hxqvutNc-q9FxbbLxkw1RCJBE-KrfrDBe4iDmyY0Yyd0DMVwFZHt-cMO0-ETpA7dMAdPBobmPa2Dd-cwvj-j5rDbW4uZ02_kzzFG9Py_HwqDzSYhGGoNBS6Zsyki11pKJEfhhiLkqm3wAgusyXWKNFr7FwjnZAz3qrF_uBGtDUS94gueqsX8tKDhpPjUrr-OHhuNjwtVZMZBRLNNgmSTU_Q>  
and how you can trace their behavior.

Learn and grow

Try out Cloud Run worker pools by running this code lab.

We recently added this functionality to deploy continuously-processing  
background workers to Cloud Run. This code lab walks you through creating  
and using one as a Cloud Pub/Sub reader.  
<https://c.gle/ANiao5rF7LR2OA-trrvaNfIezKzLD9mvoh6sy0869HPuWbsKzEbkgHcFta6Na_6vO63GSbgpZGVi2dKhjySQM3IF1CIUl3w6PRvifEWrhG1fOMMoLnPzBMUOWp6r_5mA43zY3gR7n7BZehoX5Vd5NFbGLFXsDTZseYAP57vRYWmVk5I62v10dajiIlUH2vgto9-ob6TVNjpRJD6AkbosDNK_rg-PJtFm_a-MO62J1xAEC9-DdVh3ehBhhKLdGcHkfhkoNHtcK0SOpgZxW3OUBGeJ-HV0pUCg0duPFDwxgqfwtOhHjVc>

Build intelligent agents with the Agent Development Kit (ADK).

Today, we published a new course in Google Cloud Skills Boost for  
developers ready to start building their own agents with  
ADK.<https://c.gle/ANiao5qlbeTMRuUC-eR4qXKYfHz-QXQ3HIleKg3aGKLCRNctjcYXgNqCZERxHyCB1eEc92iqShgBh896yk1BTkVfy5dfR5QkTLxAmbLddjBIbKqXtIf5b1Ak9QeIHR6-mVggz1-zKHbNRdF1l2CDjxgSb577p1pr2f_PU9adqLJJr6_phlcY36nM7TEzKD0Nuy614zn89Hjec3ckNgrTZWVtka3aC9q4hjWXRGoST2rbN5XvK1pTT95O>  
It's packed with hands-on labs, core concepts, real-world applications, and  
resources from Google Developer Experts (GDEs) and the broader developer  
community.

Protect your (BigQuery) data from eager AI agents.

Here’s a great post with good tips for creating lines of defense around  
your BigQuery environment  
<https://c.gle/ANiao5qR70XGgcHXRh_z_7JQLbKzUiuM4doSmU6DpEC0W4U2Yzni43afPJH2XhUPVmfcuFQmHNC00gqON-AmiXIONlEhJLB2iYkKpLVKHVph40VrZqeJcjp5xMn8uTxUl3XJsQLB2mU8-8Yq9fFQc_CCFpOhjrvBSE8z8gX_POmd592hYABMwi7TGivqXn1hZsba59y5cgQ7-kZWSUOGoUADg6_sRCdBB621WDsxtjDsL0gBL7HhuN9FeONB4ZpkJafOTDgbQNaZzaJWkXawMBE8Syo_5tXI7ZP8488Ik3yWikCUqgN_NbIYazVYuF-JwcnM5Lv4>  
to ensure agents don’t do too much, at too high a cost.

Get smart(er) about Google Cloud networking.

It’s hard to be good at Cloud without some working knowledge of networking  
configurations. This quick reference guide  
<https://c.gle/ANiao5rLtdtw7uhS8Ziauzl6PjrLVBqsXKeCEKLxDzdvzkK4P_cDzamaBn1r9XUgZ1kN347gtTUZARTNgwTcFNnobf6l026Q6aPNL5uDNqC8BmMm4pcu4vSp-dD2vdpbytg4dtleAjakATeVK0bYLm87H8fGWq59i78cSqrNqtSTdFhA-XUy0sh8p129FS-AM6Bi6enV6dJI7SFnxXlueHk_3rOc7U_2gCf3nf2D1lfE9C37N3BDu113FRxNSFBKqlVX-mEODYeqY1ZFGTh3-w>  
points you to assets that help you learn more.

Set up a GraphRAG setup with Vertex AI and Spanner Graph.

If you’ve got graph data that you’d like to ground your AI applications  
with, you might explore the GraphRAG option. I like this new comprehensive  
architecture guide  
<https://c.gle/ANiao5rvvmsilzdHRWu3PpWFxoZb5sznyPiFMdNi4gjU5tWogQrnJ4kAdHOQSsr-vdhScOeADEDjICTkceHTlDjBAKeEokKVnNF0bTOJ5AFV4wU_rSInCOE6OyWcikpqdtHFj3WQ2wmCuYOLQKgqoSTqa5mP2j45WN7cSrCmPy62YI1yAJyatnYziOWAGUMSgHAgcVtlQ-QaK1ESMLt_oE3fmQURvA6rHA>  
that helps you configure this on Google Cloud.

Building production-ready AI Agents?

The Agent Factory video podcast dives deep into design, build, & deployment  
on Google Cloud. The podcast covers code, architecture , & practical tips.  
Subscribe now! ➡️ https://goo.gle/theagentfactory  
<https://c.gle/ANiao5omgVmRAR9e5nN_huL6YkC40R1iNtnhmRjMo0J4QaDqnftmeRU9yGVEHpP-e36PWQ-OdxhfdVaWHMwbfggL7GUV9SzdAmYff0n-mii4Smvq8TT0xfozf8QniSDHbh3a272Ei1HRWGZOvXk1xWLfQNfJM6wfbtKzWg>

One more thing

Batch mode comes to the Gemini API.

Large jobs where you don’t need an immediate response? The new Gemini API  
Batch mode  
<https://c.gle/ANiao5qHq_4lVvKIgEt1pOutt8o6YibRkMa280fTIIpAIVmSVxSASvy_EtwfXdhcBnoGZJBaDww1vYs5TFDJjO6AD_Ea6fpQRFepBADfX9EKBkpUubeb581K_WMl5cHYvB-hCAdKB4LZLKYCwRGThpsNuDOF-leYf1jJ94QJzhUDQ4IqD9atE0-j0IKE2cM824z3rRmJGmM1NmXKlVKeBR6IT21q5PopDVobXvoY7J6TWu0>  
returns results within 24 hours, and is half the cost.

An X post from Logan announcing the new Batch mode in the Gemini API  
<https://c.gle/ANiao5qy6lpPtGUqqP4Tz7EheKhz7I10krD6Tqj_aQUZeLvjZQQfZfQJBB8ZEg916UknIzxH9r6yZVieR8FV0tmedp0Bb4jcyFeVgA3tunE7i1e5knUMdxVX6LMyAHFJutcTX-cXRgQTL9-gVc9w9_fSTFFQ2mq5RKjHQeqx1rfCn7tlYxtKUcs3AQ>

Follow us on Social media.

Add your voice to the conversation and get the latest news, views, and  
insights.

X  
<https://c.gle/ANiao5pbZQO3OWv3kj08wXlkYbe6LQ4sVqHunVXmkJTLlna9DgoXLML0sZ3nwd4-pPRTRGNktmuFRr6idQoXpmXMhapXol-alcbZ7EnWtKl-_nJ6xoBJzkFAJNKbqyN3BOvcT26wfkbHKt9B0S5W3t8wFxfw4mtBx5920slhv1_-gUBZn72lzm7Z-8T-_5CrQbk>

Google Cloud blog  
<https://c.gle/ANiao5o42oxAUFwAtXdHwb1tNprH06MDSU02vB9aD5xqW3YBpyCnYBa-gesLXx8YaNrzi-o9Xti0CITp-peqVEOZv6LkyjAFKta3eqxWh-XwTKCuI4VHUDvVrIZw9C0atjLc>

LinkedIn  
<https://c.gle/ANiao5p1wvwKlDUFlhM4THezFv_17WwlB2emMeHu6Xk7eYKIg8LFUuUAnfDq1r7WXN7_Pdo8JcMHBfMZkW-wSf8RiKNXER7RIJkhEckbfhTZ4ysdIuwO67jbTnwkIIqD92bCJgNnpS-gjq_sibj5jUyn-XKETRpa>

Facebook  
<https://c.gle/ANiao5qKpVHiNfy87WRGlL_zbhmqGg--tRWUxqspQ79eCaw3pPeog_gJ80LHpuJxrfQXrVpuLt7G3sOw0fIyFVcgjfpAzSDX9VwSc7CexTxVJBQseoSxC2ANRiZOhpxl_gNQWueWJFWDK86dpeE>

YouTube  
<https://c.gle/ANiao5rFJ9bK8TUpQLHxlAKAW6KR12KJS1SXqMBQZPOzAkgf5ZELF7RvjMQEIcgU5B22JTmblSSsaipqdmfamHt7lS42vsFHQGhr8M8uHRid2W0OHS-yx1UdEcloUKwL3sjm6TBtlPx6e8IpDGNgUWb9PQ>

GitHub  
<https://c.gle/ANiao5rVF0Lv4CbYUwAAClp4nwPYuLuGSIxiYskEEEPofxJ70nJ4CBwYmUvpuu7fGYnNBEzH0_y5v6GAyZYvdRIFH4-iXQMjEeQYN4rGNHhu9NVO442iB8N_hjO-9D3BCijfX0ILcuwf2IT5Gg>

No-cost cloud training

35 credits on Google Cloud Skills Boost. Redeem now  
<https://c.gle/ANiao5puNCD-VIJsvfq-r81NUc-tw5uC68BsHaBtMT4nqBceXOWe0EdDiz9rbF4tBIP4ePQprLPGnWiBDqMhQp2Lb3klOyekBCooEexAx-HSEmxa2DVa7ETGiO4IpGMyfzxCDRbNZq_dGWtbxJR2uBFUVZFvuU0svQFCGMxEWK9MpJJXMKXKuZEWjSIEPTuBpu4foMtfwOf7_oq2Nufv6Z36i9e3zvojE_whvtck7wjbowBZexovRPcfAyB7B_eRYZYLX-lTUAhe_B-s5HSvS8B9ZEjuGEDsEe0KFBqvI3n8ifIZvcQsaFZvqIV1qKfHNhbelnfkT79crw4smNYX2oYIbipg-FPes-SQ5apW4o9elG8H8zZV>

Already on Google Cloud? Go to your console  
<https://c.gle/ANiao5pMW5pkZx1E50m7Xa8CajGZFpid-4qJQ34NBD82ipaBfZU5BoxaK7kb-3mfLYzu7flmxJ_ROWeiwab_fCE_yg0e1OLD13Na7bUMX2k0GWX0jATZmj4mDmck0DmM8hHeK1pV97erCavTh8v-Kdg>

Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

This email was sent to pfeifferj@archlinux.ch because you indicated that  
you want news and program announcements from the Google Cloud Innovators  
program. If you don't want to receive such emails in the future, please  
unsubscribe.  
<https://myaccount.google.com/communication-preferences/unsubscribe/gt/ANiao5qil5-MyRFD4PlYevg_VVNdS_w621YoDC9To6Qe9llmRRlrCGMYrssJqsKX8QPp77-8fuLX9n61lpUKikWdTQ3SN3xDtDfp3ULlbdWG-_OeZlaNkXaAxVlhYEiqGP6YCqiEM-1FcnFmduLrtwVg8gmaVjaOkL8W-nlsdByhSE8z11o15Smxi7SIvmMfejL8ujxNVfxc7h2Y3o8Qr88vHJn-9u1sbsf-a-r9fPk57or7M2j2aj4ueumiVud6Tp9NCrRncad56eOAF2yUHFQDfkk?utm_source=gm&utm_medium=email&auto=true>  
You can also change your preferences by visiting  
https://developers.google.com/profile/u/me/my-community  
<https://c.gle/ANiao5pVcTzA-M7MUmJRk3dUyWSX3kKJBvfnRAJsiqTpwAqepBjsrE77W8hcwyqArxsdrIFaiMqsE3lX4OMv9N5PuFJCYP_EZqSmwKuhIJNLAmN4U7TvYQ9JeD4wdt_20Q1CO4OAYlPwOuZva6UH4bciwKAtM0JzUgfzcmG6TxYxc40>  
and editing your selection under “community email preferences” for Google  
Cloud Innovators.The overwhelmed person’s guide to Google Cloud: July 22Google Cloud Innovators <google-cloud-innovators-noreply@google.com> undefinedpfeifferj@archlinux.ch pfeifferj@archlinux.ch