Today at AWS re:Invent, Andy Jassy talked a lot about how companies are making a big push to the cloud, but today’s container-focussed announcements gave a big nod to the data center as the company announced ECS Anywhere and EKS Anywhere, both designed to let you run these services on-premises, as well as in the cloud.

These two services, ECS for generalized container orchestration and EKS for that’s focused on Kubernetes will let customers use these popular AWS services on premises. Jassy said that some customers still want the same tools they use in the cloud on prem and this is designed to give it to them.

Speaking of ECS he said,  “I still have a lot of my containers that I need to run on premises as I’m making this transition to the cloud, and [these] people really want it to have the same management and deployment mechanisms that they have in AWS also on premises and customers have asked us to work on this. And so I’m excited to announce two new things to you. The first is the launch, or the announcement of Amazon ECS Anywhere, which lets you run ECS and your own data center,” he told the re:Invent audience.

He said it gives you the same AWS API’s and cluster configuration management pieces. This will work the same for EKS, allowing this single management methodology regardless of where you are using the service.

While it was at it, the company also announced it was open sourcing EKS, its own managed Kubernetes service. The idea behind these moves is to give customers as much flexibility as possible, and recognizing what Microsoft, IBM and Google have been saying, that we live in a multi-cloud and hybrid world and people aren’t moving everything to the cloud right away.

In fact, in his opening Jassy stated that right now in 2020, just 4% of worldwide IT spend is on the cloud. That means there’s money to be made selling services on premises, and that’s what these services will do.

At AWS re:Invent today, Andy Jassy announced DevOps Guru, a new tool for DevOps teams to help the operations side find issues that could be having an impact on an application performance. Consider it like the sibling of CodeGuru, the service the company announced last year to find issues in your code before you deploy.

It works in a similar fashion using machine learning to find issues on the operations side of the equation. “I’m excited to launch a new service today called Amazon DevOps Guru, which is a new service that uses machine learning to identify operational issues long before they impact customers,” Jassy said today.

The way it works is that it collects and analyzes data from application metrics, logs, and events “to identify behavior that deviates from normal operational patterns,” the company explained in the blog post announcing the new service.

This service essentially gives AWS a product that would be competing with companies like Sumo Logic, DataDog or Splunk by providing deep operational insight on problems that could be having an impact on your application such as misconfigurations or resources that are over capacity.

When it finds a problem, the service can send an SMS, Slack message or other communication to the team and provides recommendations on how to fix the problem as quickly as possible.

What’s more, you pay for the data analyzed by the service, rather than a monthly fee. The company says this means that there is no upfront cost or commitment involved.

Google today introduced a new mobile management and security solution, Android Enterprise Essentials, which, despite its name, is actually aimed at small to medium-sized businesses. The company explains this solution leverages Google’s experience in building Android Enterprise device management and security tools for larger organizations in order to come up with a simpler solution for those businesses with smaller budgets.

The new service includes the basics in mobile device management, with features that allow smaller businesses to require their employees to use a lock screen and encryption to protect company data. It also prevents users from installing apps outside the Google Play Store via the Google Play Protect service, and allows businesses to remotely wipe all the company data from phones that are lost or stolen.

As Google explains, smaller companies often handle customer data on mobile devices, but many of today’s remote device management solutions are too complex for small business owners, and are often complicated to get up-and-running.

Android Enterprise Essentials attempts to make the overall setup process easier by eliminating the need to manually activate each device. And because the security policies are applied remotely, there’s nothing the employees themselves have to configure on their own phones. Instead, businesses that want to use the new solution will just buy Android devices from a reseller to hand out or ship to employees with policies already in place.

Though primarily aimed at smaller companies, Google notes the solution may work for select larger organizations that want to extend some basic protections to devices that don’t require more advanced management solutions. The new service can also help companies get started with securing their mobile device inventory, before they move up to more sophisticated solutions over time, including those from third-party vendors.

The company has been working to better position Android devices for use in workplace over the past several years, with programs like Android for Work, Android Enterprise Recommended, partnerships focused on ridding the Play Store of malware, advanced device protections for high-risk users, endpoint management solutions, and more.

Google says it will roll out Android Enterprise Essentials initially with distributors Synnex in the U.S. and Tech Data in the U.K. In the future, it will make the service available through additional resellers as it takes the solution global in early 2021. Google will also host an online launch event and demo in January for interested customers.

One of the areas that is often left behind when it comes to cloud computing is the industrial sector. That’s because these facilities often have older equipment or proprietary systems that aren’t well suited to the cloud. Amazon wants to change that, and today the company announced a slew of new services at AWS re:Invent aimed at helping the industrial sector understand their equipment and environments better.

For starters, the company announced Amazon Monitron, which is designed to monitor equipment and send signals to the engineering team when the equipment could be breaking down. If industrial companies can know when their equipment is breaking, it allows them to repair on it their own terms, rather than waiting until after it breaks down and having the equipment down at what could be an inopportune time.

As AWS CEO Andy Jassy says, an experienced engineer will know when equipment is breaking down by a certain change in sound or a vibration, but if the machine could tell you even before it got that far, it would be a huge boost to these teams.

“…a lot of companies either don’t have sensors, they’re not modern powerful sensors, or they are not consistent and they don’t know how to take that data from the sensors and send it to the cloud, and they don’t know how to build machine learning models, and our manufacturing companies we work with are asking [us] just solve this [and] build an end-to-end solution. So I’m excited to announce today the launch of Amazon Monotron, which is an end-to-end solution for equipment monitoring,” Jassy said.

The company builds a machine learning model that understands what a normal state looks like, then uses that information to find anomalies and send back information to the team in a mobile app about equipment that needs maintenance now based on the data the model is seeing.

For those companies who may have a more modern system and don’t need the complete package that Monotron offers, Amazon has something for these customers as well. If you have modern sensors, but you don’t have a sophisticated machine learning model, Amazon can ingest this data and apply its machine learning algorithms to find anomalies just as it can with Monotron.

“So we have something for this group of customers as well to announce today, which is the launch of Amazon Lookout for Equipment, which does anomaly detection for industrial machinery,” he said.

In addition, the company announced the Panorama Appliance for companies using cameras at the edge who want to use more sophisticated computer vision, but might not have the most modern equipment to do that. “I’m excited to announce today the launch of the AWS Panorama Appliance which is a new hardware appliance [that allows] organizations to add computer vision to existing on premises smart cameras,” Jassy told AWS re:Invent today.

In addition, it also announced a Panorama SDK to help hardware vendors build smarter cameras based on Panorama.

All of these services are designed to give industrial companies access to sophisticated cloud and machine learning technology at whatever level they may require depending on where they are on the technology journey.