{"id":40285,"date":"2026-04-28T10:42:36","date_gmt":"2026-04-28T08:42:36","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/2026\/05\/08\/google-cloud-cross-cloud-caching-egress-fee-killer-dach\/"},"modified":"2026-08-03T15:45:34","modified_gmt":"2026-08-03T13:45:34","slug":"google-cloud-cross-cloud-caching-egress-fee-killer-dach","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/28\/google-cloud-cross-cloud-caching-egress-fee-killer-dach\/","title":{"rendered":"DACH Architects in Google&#8217;s Cache Spotlight"},"content":{"rendered":"<p style=\"color:#6190a9;font-size:0.9em;margin:0 0 16px;padding:0;\">5-minute read<\/p>\n<p><strong>On April 24, Google Cloud unveiled Cross\u2011Cloud Caching as a new feature during its Cloud Next 2026 recap. The idea is that data from AWS and Azure is replicated into Google Cloud Storage on first read, then made locally available for all subsequent requests. This eliminates e\u2011gress charges for the second, third, and further requests. For DACH multi\u2011cloud architects, this is a very compelling cost argument on paper. In practice, however, it raises a question rarely addressed head\u2011on: what level of data sovereignty justifies the e\u2011gress costs?<\/strong><\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Key Takeaways<\/h2>\n<div style=\"background:#f8fbfd;border:1px solid rgba(11,183,253,0.28);border-radius:8px;padding:22px 26px;margin:16px 0 32px 0;\">\n<ul style=\"color:#1a2733\">\n<li><strong>What\u2019s new:<\/strong> Google Cloud\u2019s Cross\u2011Cloud Caching pulls data from AWS S3 and Azure Blob into GCP storage on first read and caches it for later requests.<\/li>\n<li><strong>Why it matters now:<\/strong> e\u2011gress from AWS and Azure remains the single most expensive part of multi\u2011cloud setups. Any repeated read from another cloud still triggers a charge.<\/li>\n<li><strong>What\u2019s still unclear:<\/strong> the data physically resides in GCP storage. DACH teams bound by strict data\u2011sovereignty rules need to examine this before rolling the feature out in full.<\/li>\n<\/ul>\n<\/div>\n<p>The announcement was made during the April 24 Cloud Next 2026 recap (<a href=\"https:\/\/cloud.google.com\/blog\/topics\/google-cloud-next\/google-cloud-next-2026-wrap-up\">cloud.google.com<\/a>). Cross\u2011Cloud Caching is part of Google\u2019s push to meet the multi\u2011cloud reality many DACH firms have lived with for years\u2013yet rarely manage elegantly. We previously laid out the big picture in <a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/27\/google-cloud-next-2026-agentic-cloud-roadmap-dach\/\">What DACH Architects Expect from the Cloud Next 2026 Roadmap<\/a>. Cross\u2011Cloud Caching is the practical mechanism behind that initiative.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">How the feature works<\/h2>\n<p>The principle is caching\u2013familiar to front\u2011end developers via CDNs\u2013pushed one layer deeper and across cloud borders. A BigQuery or Vertex AI job reads a dataset from AWS S3. On the first read, traffic follows the usual path and incurs e\u2011gress charges. Cross\u2011Cloud Caching copies the object in parallel into Google Cloud Storage. All later requests for the same dataset hit the local cache. From AWS\u2019s perspective, no further activity is triggered after that first read.<\/p>\n<p>Technically, it\u2019s a blend of storage replication and smart routing: cache lookup before cross\u2011cloud fetch, TTL\u2011based invalidation, and a control layer that decides which data deserves caching. Anyone who has worked with edge caches and the \u201cstale\u2011while\u2011revalidate\u201d pattern will recognise the pattern. What\u2019s new is Google delivering this at the storage layer and integrating it into its own analytics services.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Why DACH teams are watching it closely<\/h2>\n<p>Egress has long been the most dreaded line on cloud bills. AWS and Azure charge roughly \u20ac0.08\u2013\u20ac0.09 per GB when data leaves their platforms, according to their pricing pages (AWS Data Transfer Pricing, Azure Bandwidth Pricing, as of April 2026). For workloads that frequently transfer several terabytes of data out of third-party clouds, those costs can quickly justify an architectural review. Cross\u2011Cloud Caching tackles this problem head-on.<\/p>\n<div style=\"margin:28px 0;border:1px solid #e5e5e5;border-radius:6px;overflow:hidden;\">\n<div style=\"background:#004a59;color:#fff;padding:12px 18px;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.14em;\">Egress Multi\u2011Cloud: a reality for DACH teams<\/div>\n<div style=\"padding:8px 0;\">\n<div style=\"display:flex;gap:18px;padding:12px 20px;border-bottom:1px solid #f0f0f0;\">\n<div style=\"min-width:110px;font-weight:700;color:#0bb7fd;\">2018\u20112020<\/div>\n<div style=\"color:#333;line-height:1.55;\">Multi\u2011cloud emerges as a resilience strategy, accepting egress as an inevitable cost.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:18px;padding:12px 20px;border-bottom:1px solid #f0f0f0;\">\n<div style=\"min-width:110px;font-weight:700;color:#0bb7fd;\">2021\u20112023<\/div>\n<div style=\"color:#333;line-height:1.55;\">FinOps becomes a discipline, standardising egress reporting in quarterly reviews.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:18px;padding:12px 20px;border-bottom:1px solid #f0f0f0;\">\n<div style=\"min-width:110px;font-weight:700;color:#0bb7fd;\">2024\u20112025<\/div>\n<div style=\"color:#333;line-height:1.55;\">The EU Data Act and hyper-scaler pressure reduce egress costs when leaving providers, yet operational overhead remains.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:18px;padding:12px 20px;\">\n<div style=\"min-width:110px;font-weight:700;color:#0bb7fd;\">2026<\/div>\n<div style=\"color:#333;line-height:1.55;\">Google Cloud\u2019s Cross\u2011Cloud Caching handles repeated reads structurally, not just during migration phases.<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<p>For architects in the DACH region, this is especially significant, because many production set-ups follow this read pattern: historical data lives in AWS or Azure, while the analytics team works in BigQuery. Without a cache, the same dataset is pulled from AWS every month. With the cache, traffic is fetched once and then stays local. Once the cost line stabilises, the bill drops fast. Last week we explored a similar principle in <a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/26\/aws-cloud-formation-terraform-multi-cloud-practice-check\/\">CloudFormation vs Terraform for practical Multi\u2011Cloud verification<\/a>: tooling choices often hinge on precisely these recurring operational expenses.<\/p>\n<figure style=\"margin:36px 0;padding:0;\">\n<blockquote style=\"position:relative;margin:0;padding:30px 34px 28px;background:linear-gradient(135deg,#013a47 0%,#004a59 100%);border-radius:12px;box-shadow:0 10px 30px rgba(0,40,60,0.18);overflow:hidden;\"><p>\n<span aria-hidden=\"true\" style=\"position:absolute;right:22px;top:6px;font-family:Georgia,serif;font-size:90px;line-height:1;color:#0bb7fd;opacity:0.18;\">&rdquo;<\/span><\/p>\n<div style=\"font-family:'SF Mono','Monaco','Consolas',monospace;font-size:10.5px;color:#0bb7fd;letter-spacing:0.18em;text-transform:uppercase;margin-bottom:13px;\">\/\/ Key point<\/div>\n<p style=\"margin:0;font-size:1.15em;line-height:1.6;color:#f2fafd;font-weight:500;position:relative;\">The concept: AWS and Azure data are replicated into Google Cloud Storage on the first read and remain local for every subsequent request.<\/p>\n<\/blockquote>\n<\/figure>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">What Fails, What Works<\/h2>\n<div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(280px,1fr));gap:16px;margin:28px 0;\">\n<div style=\"background:#fafafa;border-top:3px solid #c0392b;padding:18px 20px;border-radius:4px;\">\n<p style=\"margin:0 0 10px 0;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.12em;color:#c0392b;\">What fails<\/p>\n<ul style=\"margin:0;padding-left:18px;color:#333;line-height:1.55;font-size:0.95em;\">\n<li style=\"margin-bottom:6px;\">Data sovereignty issue: data physically ends up in GCP even when the source remains in AWS or Azure.<\/li>\n<li style=\"margin-bottom:6px;\">Compliance reviews for regulated sectors (finance, healthcare, critical infrastructure) must explicitly assess this functionality.<\/li>\n<li style=\"margin-bottom:6px;\">Vendor lock-in shifts toward Google as the cache layer resides there.<\/li>\n<\/ul><\/div>\n<div style=\"background:#fafafa;border-top:3px solid #2d7a3e;padding:18px 20px;border-radius:4px;\">\n<p style=\"margin:0 0 10px 0;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.12em;color:#2d7a3e;\">What works<\/p>\n<ul style=\"margin:0;padding-left:18px;color:#333;line-height:1.55;font-size:0.95em;\">\n<li style=\"margin-bottom:6px;\">Measurable egress savings for read-heavy workloads, especially in analytics and ML training.<\/li>\n<li style=\"margin-bottom:6px;\">Transparent mechanism that integrates into existing BigQuery and Vertex AI pipelines.<\/li>\n<li style=\"margin-bottom:6px;\">Architectural question: which datasets justify caching and which do not.<\/li>\n<\/ul><\/div>\n<\/div>\n<p>The real debate isn\u2019t whether to use the feature, but where to apply it and under what constraints. Personal data under GDPR, regulated data classes from critical infrastructure environments, or datasets with explicit geographic restrictions aren\u2019t cache candidates. Telemetry streams, clickstreams, or training datasets without personal data are far better fits. Document this decision in your architecture guides\u2013not just during the annual FinOps review.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">What Central European Architects Must Tackle in the Next 90 Days<\/h2>\n<p>Start with a clear egress report from AWS and Azure, broken down by dataset and target cloud. Without this baseline, you can\u2019t quantify savings. Next, classify datasets by cache feasibility and secure compliance validation. Finally, launch a pilot on a single read-heavy dataset\u2013ideally telemetry or training data. That gives you a concrete metric instead of relying on vendor estimates.<\/p>\n<p>Strategically, the lock-in trade-off deserves an open workshop: multi-cloud caching cuts egress costs but introduces a new dependency on Google\u2019s storage layer. If your multi-cloud exit strategy remains in play, bake this feature into the plan before it quietly becomes a production reality.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Frequently Asked Questions<\/h2>\n<details>\n<summary><strong>What is the cost of Cross\u2011Cloud Caching?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Google Cloud has not published unit prices for the service. Caching costs are expected to be bundled with reduced egress fees. Reliable estimates will only be possible once the official pricing table is available.<\/p>\n<\/details>\n<details>\n<summary><strong>Who is the target audience?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Organizations managing multi-cloud environments with productive read pipelines between AWS or Azure and Google Cloud Analytics, particularly users of BigQuery and Vertex AI who frequently pull data from third-party clouds.<\/p>\n<\/details>\n<details>\n<summary><strong>What are the implications for data sovereignty?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Data is physically replicated in Google Cloud Storage. Teams subject to geographic restrictions or strict regulatory requirements must verify the GCP region hosting the cache and ensure compliance before enabling the feature.<\/p>\n<\/details>\n<div style=\"margin:40px 0 24px 0;\">\n<p style=\"margin:0 0 12px 0;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">More from the MBF Media Network<\/p>\n<div style=\"padding:14px 18px;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#202528;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">mybusinessfuture<\/div>\n<p><a href=\"https:\/\/mybusinessfuture.com\/fujitsu-gruene-transformation-mittelstand-klimaziele-it-infrastruktur-2026\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Fujitsu and the Green Transformation: How DACH Mittelstand Translates Climate Goals into IT Infrastructure by 2026<\/a><\/p>\n<\/p><\/div>\n<div style=\"padding:14px 18px;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#69d8ed;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p><a href=\"https:\/\/www.securitytoday.de\/2026\/04\/27\/adobe-cve-2026-34621-federal-deadline-27-april-dach-ciso-sla\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Adobe CVE\u20112026\u201134621: Federal Deadline Today\u2013Lessons for DACH CISOs<\/a><\/p>\n<\/p><\/div>\n<div style=\"padding:14px 18px;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#d65663;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">digital-chiefs<\/div>\n<p><a href=\"https:\/\/www.digital-chiefs.de\/telekom-nvidia-industrial-ai-cloud-muenchen-blackwell-dach-cio-2026\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Telekom and NVIDIA Industrial AI Cloud: What Munich\u2019s 10 000\u2011GPU Blackwell Cluster Means for DACH CIOs<\/a><\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p style=\"text-align:right;\"><em>Photo: Lovelano \/ Wikimedia Commons (CC BY 4.0)<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"On April 24, Google Cloud unveiled Cross\u2011Cloud Caching as a new feature during its Cloud Next 2026 recap. The idea is that data from AWS and Azure is replicated into Google Cloud Storage on first read, then made locally available for all subsequent requests. This eliminates e\u2011gress charges for the second, third, and\u2026 <a class=\"view-article\" href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/28\/google-cloud-cross-cloud-caching-egress-fee-killer-dach\/\">\u00bb Article<\/a>","protected":false},"author":31,"featured_media":38853,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2026\/04\/google-cloud-cross-cloud-caching-egress-fee-killer-dach-multi-cloud-2026-moscone-hero.jpg","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2026\/04\/google-cloud-cross-cloud-caching-egress-fee-killer-dach-multi-cloud-2026-moscone-hero.jpg","_yoast_wpseo_twitter-image-id":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","_evm_slot_owner":"","_evm_translation_lang":"","featured_post":0,"featured_post_sortierung":0,"_wp_old_slug":[],"footnotes":""},"categories":[921],"tags":[],"industry":[],"class_list":["post-40285","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"evm_reading_time_minutes":6,"wpml_language":"en","wpml_translation_of":38664,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DACH Architects in Google&#039;s Cache Spotlight<\/title>\n<meta name=\"description\" content=\"Discover how Cloud Next 2026: Google&#039;s multi\u2011cloud cache stores AWS and Azure data on GCP.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/28\/google-cloud-cross-cloud-caching-egress-fee-killer-dach\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DACH Architects in Google&#039;s Cache Spotlight\" \/>\n<meta property=\"og:description\" content=\"Discover how Cloud Next 2026: Google&#039;s multi\u2011cloud cache stores AWS and Azure data on GCP.\" \/>\n<meta property=\"og:url\" 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