re:Invent 2023 day 3 recap
AI-related announcements dominate once more. New models for Bedrock. Vector search everywhere, and DynamoDB does a bait-and-switch. Welcome to day 3 of re:Invent 2023.
AI-related announcements dominate once more. New models for Bedrock. Vector search everywhere, and DynamoDB does a bait-and-switch. Welcome to day 3 of re:Invent 2023.
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We had the opening keynote by Adam Selipsky. If you missed the live stream, you can watch it on YouTube here. Unsurprisingly, so much of the keynote was about AI.
After the absolute barrage of announcements on day 0, day 1 brought us some mild excitement and one big disappointment…
In typical re:Invent fashion, AWS has made a series of big announcements before the main event even kicks off! Here are some groundbreaking serverless updates that you should know about.
Enabling auto-instrumentation for your Lambda functions provides detailed insights into the performance and security of your serverless applications. Developers often also use custom instrumentation to fine-tune visibility and further tailor telemetry to their business needs. However, different teams within your organization might use a variety of instrumentation libraries, and achieving more granular visibility can come at the expense of data portability and interoperability.
It’s that time of the year again as re:Invent is almost upon us Here is a list of the serverless-related announcements so far that you should know about.
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Open Telemetry (OTel) is an open source observability framework that has garnered significant attention for its powerful capabilities in monitoring metrics, logs and traces.. It is second only to Kubernetes in the CNCF velocity chart with contributions being made from major players in the cloud industry, and has a growing community helping build out a thriving ecosystem.
As autumn graced the vibrant city of Chicago, I had the distinct opportunity to immerse myself in the heart of innovation and camaraderie at the CNCF’s Kubecon North America conference. Over the span of four remarkable days, from Nov 6-9, I was fortunate enough to walk alongside the many enthusiasts, contributors and organizers of open source and cloud native communities.
We have been using Azure Functions for years. Being able to easily deploy and run code on both Azure App Services and real serverless has been a killer feature for all of our asynchronous jobs and services. Unfortunately, the logging approach provided as part of the default template is not ideal. In this post, I'll introduce you to the first steps we take in all of our existing and new function apps to improve logging. A quick note about the Azure Functions runtime.