Operations | Monitoring | ITSM | DevOps | Cloud

Remote work poses new demands for hybrid cloud security. Here’s how organizations can protect themselves from security threats in this complex landscape.With employees continuing to work from home to meet the social distancing requirements of COVID-19, more people are juggling business with personal engagements, at times outside normal business hours. Often, they’re using their mobile business laptop, as well as a plethora of additional wireless mobile devices.

AWS Graviton2 processors use the Arm architecture to provide high-efficiency, low-cost computing. AWS already offers the ability to provision EC2 instances powered by Graviton2, and Datadog is proud to partner with them for the launch of new Graviton2 compute resources for Lambda functions. In this post, we’ll discuss how Datadog can provide deep visibility into your Lambda functions across whichever platform you’re using.

Modern computing has come a long way in the last couple of years and the introduction of new technologies is only accelerating the rate of advancements. From the immense compute power at our disposal to lightning-fast networks and ready-made services, the opportunities are limitless. In such a fast-paced world, we can’t ignore economics.

AWS just announced support for AWS Lambda functions powered by AWS Graviton2 processors. These are 64-bit Arm-based processors that are custom built by AWS and offer a better price to performance ratio. In this post, let me take through what we have learnt about this new option and what it means for you.

Comparison of top observability and debugging tools to help you monitor Python in AWS Lambda.