"title"=>"April 02, 2024",
"summary"=>nil,
"content"=>"AlloyDB for PostgreSQL\n
Feature
\nAlloyDB Studio is now generally available (GA). AlloyDB Studio includes an Explorer pane that integrates with an enhanced query editor, letting you browse, query, and modify your AlloyDB databases with this single interface. For more information, see Manage your data using AlloyDB Studio.
\nApigee X\nAnnouncement
\nOn April 2, 2024, we announced an increase in the rate limits for the Spike Arrest policy.
\n\nThe limit on the rate you can specify increased from 1,000 requests per second, 60,000 requests per minute to 4,000 requests per second, 240,000 requests per minute.
\n\nSee the Spike Arrest section of the Limits page for information on Spike Arrest limits.
\nArtifact Registry\nFeature
\nArtifact Analysis automatic scanning for Ruby, Rust, .NET and PHP vulnerabilities in container images is now generally available. If the Container Scanning API is enabled, it scans container images pushed to Artifact Registry for Ruby, Rust, .NET and PHP vulnerabilities, in addition to already supported operating system and language package vulnerabilities.
\n\nArtifact Analysis returns Ruby, Rust, .NET and PHP vulnerability results for images that have a supported or unsupported operating system. When you push new versions of images to the registry, you might see more successful vulnerability scans against images without a supported operating system.
\n\nFor more information, see Container scanning overview.
\nBigQuery\nFeature
\nThe following BigQuery ML features are now in\npreview:
\n\n- \n
- Performing\nsupervised tuning\non a remote model based on a\nVertex AI
text-bisonlarge language model (LLM). \n - Evaluate a Vertex AI LLM using the\n
ML.EVALUATEfunction.\nPre-trained\ntext-bison,text unicorn, orgemini-pro\nmodels and tunedtext-bisonmodels are supported for evaluation. \n
Try tuning and evaluating an LLM with the\nCustomize an LLM by using supervised fine tuning\nhow-to topic.
\nCloud SQL for MySQL\nFeature
\nYou can now scale up the compute size (vCPU, memory) of a Cloud SQL Enterprise Plus edition primary instance with near-zero downtime.
\nCloud SQL for PostgreSQL\nChanged
\nVersion 0.6.0 of the pgvector extension that's listed in the March 27 release note isn't available yet. Use version 0.5.1 of this extension.
Feature
\nYou can now scale up the compute size (vCPU, memory) of a Cloud SQL Enterprise Plus edition primary instance with near-zero downtime.
\nCloud SQL for SQL Server\nFeature
\nYou can now use SSL mode instead of the legacy require_ssl setting to specify the encryption requirements for connections to your Cloud SQL for SQL Server instances. For more information, see Enforce SSL/TLS encryption.
Feature
\nYou can now use Customer-Managed Encryption Keys (CMEK) to protect repositories in Dataform. CMEK in Dataform is available in preview. For more information, see Use customer-managed encryption keys.
\nDialogflow\nFeature
\nDialogflow CX: Call companion is now generally available with new user interface settings.
\nFeature
\nDialogflow CX: Dialogflow CX phone gateway is now generally available.
\nFeature
\nVertex AI Conversation: Data stores now support parse and chunk configuration.
\nDocument AI\nFeature
\nFine tuning generative AI models within the Custom Extractor is now supported in GA. For more information, see custom processors and fine tuning pricing.
\nEventarc\nFeature
\nEventarc support for creating triggers for direct events from Cloud Deploy is generally available (GA).
\nGenerative AI on Vertex AI\nFeature
\nModel Garden supports all Text Generation Inference supported models in HuggingFace:
\n\n- \n
- Verified deployment settings for about 400 Hugging Face text generation models (including google/gemma-7b-it, meta-llama/Llama-2-7b-chat-hf, and mistralai/Mistral-7B-v0.1). \n
- Other Hugging Face text generation models have unverified deployment settings that are auto generated. \n
Feature
\nObservability for Google Kubernetes Engine: Added a dashboard for Tensor Processing Unit (TPU) metrics on the Observability tab of both the cluster listing and cluster details pages for GKE clusters. The charts on this dashboard are populated with data only if the cluster has TPU nodes and GKE system metrics is enabled. For more information, see View observability metrics.
\nLooker Studio\nBreaking
\nSearch Ads 360 connector deprecation
\n\nAfter April 30, 2024, you will no longer be able to create new reports from this connector. Please start using the New Search Ads 360 connector.
\n\nTo learn more about this change, read the Connect to Search Ads 360 (deprecated) Help Center article.
\nSAP on Google Cloud\nAnnouncement
\nABAP SDK for Google Cloud version v1.6
\n\nVersion 1.6 of the ABAP SDK for Google Cloud is generally available (GA). This version brings in expanded support for more Google Cloud APIs, including support for multi-modal LLMs such as Gemini, SDK feature enhancements, and bug fixes.
\n\nFor more information, see What's new with the ABAP SDK for Google Cloud.
\nSecurity Command Center\nFeature
\nEnterprise tier released to General Availability
\n\nThe Enterprise tier, which transforms Security Command Center into a cloud-native application protection platform (CNAPP) that combines cloud security and enterprise security operations with multicloud support, is released to General Availability.
\n\nThe following features and capabilities of the Enterprise tier are new to Security Command Center:
\n\n- \n
- Multicloud support: You can now connect Security Command Center to Amazon Web Services for the following capabilities:\n
- \n
- Detect threats and vulnerabilities \n
- Assess the risk exposure of your high-value AWS resources \n
- Assess compliance with security standards \n
\n - A new Security Operations console for global security operations tasks \n
- SIEM and SOAR capabilities for security operations\n
- \n
- Security investigation and event management (SIEM) capabilities:\n
- \n
- Ingest and normalize logs from Google Cloud, AWS, Security Command Center findings, and resource metadata from multiple sources \n
- Detect the most important cloud threats with curated threat detection \n
- Search across consolidated SIEM data \n
\n - Security operations and response (SOAR) capabilities:\n
- \n
- Manage detections, investigations, and responses with cases \n
- Automate response workflows with playbooks \n
- Focus on posture and threat findings with dedicated views in the Security Operations console \n
- Integrate with IT service management products, such as Jira and ServiceNow, for posture management \n
- Search across consolidated SOAR data \n
\n
\n - Security investigation and event management (SIEM) capabilities:\n
- The following attack exposure scoring features are in General Availability:\n \n
- Vulnerability and misconfiguration detections\n
- \n
- Security Health Analytics includes the following enhancements:\n
- \n
- New misconfiguration detectors for AWS resources \n
- Detectors are mapped to new security standards \n
\n - You can now manage the remediation of critical and high severity vulnerability and misconfiguration findings using cases that are automatically opened for you. \n
\n - Security Health Analytics includes the following enhancements:\n
- Threat detection and investigation\n
- \n
- Detect threats in your AWS deployments \n
- Investigate and respond to incidents with SIEM-like capabilities across 90 days of cloud logs \n
- Manage the investigation of and response to threats by using cases \n
- Define response workflows and automated actions in response to threats by using playbooks \n
\n - Mandiant Attack Surface Management integration\n
- \n
- Mandiant Attack Surface Management scans your external attack surfaces to identify vulnerability and misconfiguration findings \n
\n - Sensitive Data Protection integration\n
- \n
- The Risk overview page of Security Command Center in the Google Cloud console now shows data security findings from the Sensitive Data Protection discovery service \n
- Findings from Sensitive Data Protection that indicate the sensitivity and data risk levels of your data can inform the automated assignment of resource values for the attack path simulation feature \n
\n - Gemini artificial intelligence features\n
- \n
- Natural language search for threat findings \n
- AI investigation widget for cases \n
\n - Compliance, security standards\n
- \n
- Support for AWS security standards \n
\n - Validate infrastructure as code (IaC) against organization policies and Security Health Analytics detectors.\nThe IaC validation feature lets you determine whether your new or modified resource definitions violate the existing policies that are applied to your Google Cloud resources. \n
- Integration with Assured Open Source Software\nThe paid tier of Assured OSS is included with your Enterprise tier license, so that you can enhance your code security by using the open source software packages that Google uses for its own developer workflows. \n
Breaking
\nWith the Enterprise tier, severity levels of certain findings are now variable
\n\nIn the Enterprise tier of Security Command Center, the default severity level of an active vulnerability or misconfiguration finding can change if the finding's attack exposure score changes. If you are a user of the Premium tier and you upgrade to the Enterprise tier, check any automated or manual procedures that rely on the value of the severity property to ensure that they can support a variable severity value.
For more information, see Severities that vary based on attack exposure score.
\nSensitive Data Protection\nAnnouncement
\nIf you opted to publish your data profiles to Security Command Center, you can configure Security Command Center to prioritize resources automatically according to the sensitivity of the data that the resources contain. For more information, see Set resource priority values automatically by data sensitivity.
\n\nIf your discovery scan configuration isn't set to publish data profiles to Security Command Center, see Enable publishing to Security Command Center in an existing configuration.
\nService Extensions\nAnnouncement
\nService Extensions is Generally Available for callout extensions for most Google Cloud Application Load Balancers.
\n\nYou can also configure Cloud Load Balancing callout extensions by using the Console.
\n\n ","author"=>nil,
"link"=>"https://cloud.google.com/release-notes#April_02_2024",
"published_date"=>Tue, 02 Apr 2024 07:00:00.000000000 UTC +00:00,
"image_url"=>nil,
"feed_url"=>"https://cloud.google.com/release-notes#April_02_2024",
"language"=>nil,
"active"=>true,
"ricc_source"=>"feedjira::v1",
"created_at"=>Wed, 03 Apr 2024 14:31:15.132710000 UTC +00:00,
"updated_at"=>Tue, 14 May 2024 04:41:17.488215000 UTC +00:00,
"newspaper"=>"GCP latest releases",
"macro_region"=>"Technology"}