More and more, companies from small businesses to global enterprises are migrating or deploying workloads in public cloud environments. Typically, their goal is cost optimization, as public clouds can dramatically reduce on-premises infrastructure costs and corresponding maintenance labor costs. Instead of installing more servers, storage, and networking components in your own datacenter, public cloud environments allow you to deploy dynamic cloud resources, usually with a short to medium lifespan.

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.

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.

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

Microsoft Azure has just announced the details of its new Azure Arc Validation Program, aiming to further increase customer confidence in deploying Arc enabled Kubernetes in production workloads, and at scale.

With our ability to ingest GCP logs and metrics into Splunk and Splunk Infrastructure Monitoring, there’s never been a better time to start driving value out of your GCP data. We’ve already started to explore this with the great blog from Matt here: Getting to Know Google Cloud Audit Logs. Expanding on this, there’s now a pre-built set of dashboards available in a Splunkbase App: GCP Application Template for Splunk!

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.

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.

CloudZero is a platform that helps you understand cost — but that doesn't mean it's purely a finance tool. In fact, unlike most other cloud cost management and optimization solutions, it’s built for engineering. However, CloudZero still makes a lot of finance teams very happy. First of all, the work that engineering teams do while using CloudZero saves money, which every finance team appreciates.