All news with #product update tag

🧭 The post explains how technology and finance leaders can demonstrate the business value of generative AI to secure funding and drive adoption. It highlights the DORA: ROI of AI-assisted software development report and its findings, including the common J-curve of early adoption, causes of temporary productivity decline, and the need to budget for a learning phase. The article also describes an interactive ROI calculator and resources to build a defensible AI investment case.

🚀 Amazon CloudWatch now accepts metrics via the OpenTelemetry Protocol (OTLP) and supports Prometheus Query Language (PromQL) for querying. You are billed per GB ingested, with 15 months of storage included. Custom OTel metrics and AWS-vended metrics across 70+ services are queryable together, and a Prometheus-compatible API enables integration with Grafana and other tools. EKS customers can enable Container Insights with OpenTelemetry from the console or via CloudFormation, CDK, or Helm.

🔍 AWS Cost Explorer introduces Analyze with Amazon Q, enabling one-click, contextual cost explanations for any configured report. Amazon Q Developer provides analysis of cost trends, top drivers, anomalies, and optimization suggestions using your exact filters and time period. The feature adapts explanations to historical, forecast, or mixed-date views and supports follow-up questions while preserving conversation context. It is available in all commercial AWS Regions at no additional charge.

🔒 Apple announced at WWDC 2026 an Apple Intelligence-powered capability that can automatically detect and update weak, duplicate, or compromised passwords in Safari and the built-in Passwords app. The feature, arriving with iOS 27, uses on-device and Private Cloud Compute foundation models co-developed with Google to perform agentic actions that update eligible accounts to strong credentials. Apple emphasizes privacy-first design, saying personal data handled in the cloud is not stored or accessible to Apple.

🚀 Amazon MSK Express Brokers now support automatic topic creation for Kafka Streams, removing the need to manually pre-create topics for stateful operations. This enhancement lets customers deploy Kafka Streams applications on Express Brokers without additional setup, simplifying operational workflows. The capability is available today in all regions where MSK Express Brokers are offered and requires no extra configuration to start using.

🆕 Amazon DocumentDB now supports engine minor versions, beginning with 5.0.1, adding new aggregation operators ($rand, $pow, $dateToParts, $dateFromParts), an active connections metric, and granular command-level performance metrics in CloudWatch. You can specify 5.0.1 when creating clusters or upgrade existing 5.0.0 clusters via the Console or AWS CLI. Upgrades are one-way; moving from 5.0.0 LTS to 5.0.1 exits the LTS track, so remain on LTS if you prioritise minimal upgrades.

🔍 Amazon CloudWatch Logs Insights now supports 23 new query commands and functions to enhance log querying, parsing, transformation, and analysis. The update adds hash functions (md5, sha256), string and conversion utilities (strcontains, split, toNumber, toInt), IP utilities (ipv4ToNumber, isPrivateIP), analytics functions (rate, count_over_time, histogram), and expanded parsing capabilities (parse CSV, XML, multi). Queries can now use “limit any N” and up to 10 stats commands, and these features are available in all commercial AWS Regions.

🔧 AWS Lambda Managed Instances (LMI) is now available in all commercial AWS Regions except Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), and Asia Pacific (Auckland). LMI lets you run Lambda functions on managed Amazon EC2 instances to access specialized compute configurations and EC2 pricing benefits while maintaining Lambda's operational simplicity. It fully manages instance lifecycle, OS and runtime patching, routing, load balancing, and auto-scaling, and supports parallel request processing per execution environment. Customers can leverage EC2 pricing models such as Compute Savings Plans and Reserved Instances and integrate LMI with existing Lambda workflows, event sources, and observability tools.

🔍 Alcidion migrated its Miya Precision platform from Microsoft SQL Server to Google Cloud's AlloyDB for PostgreSQL to improve stability, performance, and operational overhead. The move used Database Migration Service and custom synchronization tools to achieve a rapid cutover, reducing transition time to about 15 minutes. The new architecture enabled dramatic speedups in JSON processing and reduced administrative burden for SREs.

📈 Fortinet reported a strong Q1 2026 driven by broad-based demand across Secure Networking, Unified SASE, and AI-Driven Security Operations. Leadership highlighted 31% billings growth, 20% total revenue growth, record non-GAAP operating margin, and $1.01B free cash flow, attributing performance to platform integration, FortiASIC technology, and FortiOS innovation. Executives noted large AI, OT, and distributed infrastructure wins and raised full-year guidance.

🛡️ Cloudflare now exposes live Threat Events signals directly to its WAF engine, enabling security teams to create proactive rules using attacker names, target industries, countries, attack types, and dataset sources. The integration enriches HTTP request metadata in real time without adding noticeable latency, supporting both UI and Infrastructure-as-Code workflows via API and Terraform. Matches are logged in Security Analytics for auditing, and Saved Views can be exported directly into WAF rules for streamlined operations.

🖥️ Amazon Elastic Container Service (Amazon ECS) with AWS Fargate now supports 32vCPU compute configurations, offering memory choices of 60 GiB, 120 GiB, or 244 GiB for both x86 and ARM Linux workloads. These larger task sizes enable high-performance computing, large-scale data processing, and AI inference use cases by allowing deployment of bigger containers and scaling beyond previous limits. The sizes are available on Fargate and Fargate Spot across commercial and GovCloud (US) Regions, and integrate with existing Compute Savings Plans. Configure task definitions with 32 vCPU and select a memory option to deploy via console, CLI, or IaC.

🚀 Amazon EC2 C8in instances are now available in additional AWS regions including Asia Pacific (Sydney, Singapore, Malaysia) and Europe (Frankfurt). These instances use custom sixth-generation Intel Xeon Scalable processors exclusive to AWS and the latest sixth-generation AWS Nitro cards, offering up to 43% higher performance versus C6in. C8in supports sizes up to 384 vCPUs and 600 Gbps networking, targeting network-intensive distributed compute and large-scale analytics. They are offered via Savings Plans, On-Demand, and Spot.

🔧 Today AWS added an interactive wizard to the AWS Command Line Interface that installs and manages the Agent Toolkit for AWS across multiple coding agents. The toolkit provides an MCP server, 40+ agent skills, and plugins to give agents guidance and guardrails. Users can run aws configure agent-toolkit to detect installed agents, choose skills per agent, and search, install, or update skills via the CLI. The MCP Server is available in US East (N. Virginia) and Europe (Frankfurt).

📣 Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB serverless are now accessible through the Vercel Marketplace and v0 by Vercel in additional AWS Regions. Vercel’s flow generates spec-driven apps from natural language, provisions databases, and can create new AWS accounts with access to all three databases plus $100 USD in credits for six months. You can manage plans and view usage from the Vercel dashboard.

🔔 AWS Deadline Cloud now automates delivery of plugins to cloud workers for service-managed fleets. Previously requiring custom scripts or manual setup per DCC application and version, you can now upload plugin files to a specific path in your queue's job attachments Amazon S3 bucket and Deadline Cloud will sync them to workers at job start. This feature is GA for Blender and Autodesk Maya and is available in all Regions where the service is offered.

⚙️ This announcement details Google Cloud’s updates to Managed Service for Apache Spark, now offered as Managed Spark clusters with serverless and managed modes. Key enhancements include Lightning Engine, a native C++ vectorized execution engine delivering up to 4.9x faster Spark performance, Flexible VMs for improved capacity resilience, and FinOps features like zero-scale clusters and scheduled stops. The release also adds the Model Context Protocol server and Data Agent Kit integrations to connect LLMs and developer tools securely to clusters, plus Lakehouse interoperability and Cluster Image 3.0 with Spark 4.1 preview.

🛠️ The Amazon Bedrock console has been redesigned to match real-world model development workflows: experiment, iterate, and scale. The refreshed UI centers on the bedrock-mantle endpoint and is compatible with the OpenAI Responses API, OpenAI Chat Completions API, and the Anthropic Messages API. Users can browse and compare models, create projects to run evaluations, and get project-aware code snippets prefilled with model ID, region, endpoint URL, and API key references. The new experience is available in all Regions where the bedrock-mantle endpoint is offered.

💬 Amazon SageMaker Data Agent in SageMaker Unified Studio now supports conversation history, enabling practitioners to maintain continuity across analytical sessions. Data analysts and scientists can reference prior agent-generated code, resume multi-step analyses, and review past troubleshooting interactions within notebooks and the Query Editor. Conversation history appears as a scrollable list via the clock icon, with auto-generated titles and timestamps for quick identification.

🧭 Amazon SageMaker Unified Studio now allows scheduling, parameterizing, and orchestrating notebook runs directly from the notebook interface without external orchestration infrastructure. Users can run notebooks in the background on dedicated compute, create recurring schedules, and reuse parameterized notebooks across different inputs. The Notebook Operator enables chaining multi-notebook workflows, and AI-assisted troubleshooting with SageMaker Data Agent helps diagnose failures and create schedules using natural language.