Operations | Monitoring | ITSM | DevOps | Cloud

Your logs, metrics, security, and trace data are all invaluable to you. They are mission critical for your observability and security needs. As your IT infrastructure grows and keeps generating more and more data, your data volumes and data storage needs go up accordingly. It can quickly become cost-prohibitive to indefinitely store all of it on your hottest machines.

Cloud services make the daily tasks of business easier. They enable remote workforce collaboration, streamline administrative tasks, and reduce capital costs. However, these “pros” come with a few “cons.” The IT stack’s increased complexity means staff work across divergent log management tools when something breaks. Centralized log management for the cloud makes root cause analysis easier by aggregating all event log data in a single location.

We are excited to bring you a number of updates for using Elastic Cloud (Elasticsearch managed service) in the AWS Marketplace.

We're excited to announce that autoscaling is now available on Elastic Cloud. In our initial release, autoscaling monitors the storage utilization of your Elasticsearch data nodes and the available memory capacity for your machine learning jobs.

One of the serverless best practices is one-purpose functions. You should keep your Lambda functions small and solve exactly one use-case. This way, you can optimize them better and keep potential security problems contained. But creating many small functions can get overwhelming quickly. Even small projects can end up with more than 20 Lambda functions.