Operations | Monitoring | ITSM | DevOps | Cloud

The experts from Azure Functions team has yet again joined us for the monthly webcast. Given the unprecedented time, this webcast happened a bit unusual where the folks joined from their home rather from Channel 9 studio and which made this webcast even more unique and exciting. In this session, Jeff Hollan, Eduardo and Alex Karcher have joined to give us the picture of the latest happenings in the Azure Functions space.

Andreessen Horowitz recently published a blog about the Heavy Cloud Costs and Scaling Challenges of The New Business of AI, in which they describe how AI companies are facing cloud cost challenges, which are impacting their margins. As someone who used to manage a fully home-grown on-site distributed speech recognition platform for an industry leader, I know firsthand that ML can be expensive and challenging to maintain. However, it doesn’t have to be.

The first means to collect security-relevant information at Cloud SIEM Enterprise (CSE) was our Network Sensor. It was built to analyze network traffic and provide visibility beyond traditional SIEM's down to the network-level. Beyond organizing packets into flows, the sensor supports more advanced features such as decoding of common protocols, file carving, SSL certificate validation, OS fingerprinting, clustered deployment and more.

Today, we are announcing the Grafana Cloud Agent, a subset of Prometheus built for hosted metrics that runs lean on memory and uses much of the same battle-tested code that has made Prometheus so awesome. At Grafana Labs, we love Prometheus. We deploy it for our internal monitoring, use it alongside Alertmanager, and have it configured to send its data to Cortex via remote_write. Unfortunately, as we scale to handle more load, our deployment becomes more and more difficult to manage.

At re:Invent in December, Amazon announced the AWS Graviton2 processor and its forthcoming availability powering Amazon EC2 M6g instances. While the first-generation Graviton processor that powered A1 instances was better suited to less compute-intensive workloads, this processor is intended to offer AWS customers a compelling alternative to conventional x86-powered instances on both performance and cost.

Logz.io is excited to announce the 2020 Cloud Observability Webinar Series focused on DevOps, Open Source, and Observability! It’s certainly harder to attend interesting events in person these days. However, learning the same content you would at meetups and conferences for delivery of more reliable, performant, and secure services shouldn’t have to be. This series will offer a webinar every Wednesday until the end of June.

Unit tests and integration tests are vitally important, but sometimes even those aren’t sufficient to ensure that critical services in your application will function smoothly in production. In those cases, adding a staging step to our CI/CD process allows us to test a feature with real data in a less supervised environment. For example, here at Lumigo we decided to use it for our Node.js tracer.

Identity and access management (IAM) in AWS is a way to grant access to AWS services and collect and transmit data and credentials. Most Kubernetes “Quick Start” guides for AWS do not adequately cover how to manage IAM access in your pods. This blog series will first go over the security issues specific to AWS IAM on Kubernetes, then compare solutions, and then we will end with a detailed walkthrough for setting up your cluster with one of those solutions.

In the last few posts, Sameer has walked you through various aspects of Azure Monitor Logs and I’m sure you’ll agree that it’s a very powerful tool when it comes to gathering and analyzing data from your Azure resources and beyond. In this post and the next, I’m jumping in for Sameer to talk about Application Insights, which is a different beast altogether.