AWS News Blog

Danilo Poccia

Author: Danilo Poccia

Danilo works with startups and companies of any size to support their innovation. In his role as Chief Evangelist (EMEA) at Amazon Web Services, he leverages his experience to help people bring their ideas to life, focusing on serverless architectures and event-driven programming, and on the technical and business impact of machine learning and edge computing. He is the author of AWS Lambda in Action from Manning.

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New for AWS Compute Optimizer – Enhanced Infrastructure Metrics to Extend the Look-Back Period to Three Months

By using machine learning to analyze historical utilization metrics, AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance. Over-provisioning resources can lead to unnecessary infrastructure costs, and under-provisioning resources can lead to poor application performance. Compute Optimizer helps you choose optimal configurations for three types of AWS resources: […]

Amazon EC2 R6i sizes.

New – Amazon EC2 R6i Memory-Optimized Instances Powered by the Latest Generation Intel Xeon Scalable Processors

In August, we introduced the general-purpose Amazon EC2 M6i instances powered by the latest generation Intel Xeon Scalable processors (code-named Ice Lake) with an all-core turbo frequency of 3.5 GHz. Compute-optimized EC2 C6i instances were also made available last month. Today, I am happy to share that we are expanding our sixth-generation x86-based offerings to […]

EC2 Auto Scaling YAML configuration using ABS.

New – Attribute-Based Instance Type Selection for EC2 Auto Scaling and EC2 Fleet

The first AWS service I used, more than ten years ago, was Amazon Elastic Compute Cloud (Amazon EC2). Over time, EC2 has added a wide selection of instance types optimized to fit different use cases, with a varying combination of CPU/GPU, memory, storage, and networking capacity to give you the flexibility to choose the appropriate […]

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AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance

December 13, 2022: Post updated to include all the AWS Regions where Lambda Functions can be powered by the Graviton2 Processor. Many of our customers (such as Formula One, Honeycomb, Intuit, SmugMug, and Snap Inc.) use the Arm-based AWS Graviton2 processor for their workloads and enjoy better price performance. Starting today, you can get the […]

New for AWS Distro for OpenTelemetry – Tracing Support is Now Generally Available

Last year before re:Invent, we introduced the public preview of AWS Distro for OpenTelemetry, a secure distribution of the OpenTelemetry project supported by AWS. OpenTelemetry provides tools, APIs, and SDKs to instrument, generate, collect, and export telemetry data to better understand the behavior and the performance of your applications. Yesterday, upstream OpenTelemetry announced tracing stability […]

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Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors

November 10, 2022: Post updated to include some clarifications on how to better set up Debezium using MSK Connect. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. At re:Invent 2018, we announced Amazon Managed Streaming for Apache Kafka, a fully managed service that makes it easy to build and […]

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Amazon Managed Grafana Is Now Generally Available with Many New Features

In December, we introduced the preview of Amazon Managed Grafana, a fully managed service developed in collaboration with Grafana Labs that makes it easy to use the open-source and the enterprise versions of Grafana to visualize and analyze your data from multiple sources. With Amazon Managed Grafana, you can analyze your metrics, logs, and traces […]