AWS Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters of Amazon EC2 instances. With AWS Fargate, you no longer have to provision, configure, or scale clusters of virtual machines to run containers. This removes the need to choose server types, decide when to scale your clusters, or optimize cluster packing. In short, users offload the virtual machines management to AWS while focusing on task management.

One of the major considerations when modernizing applications is how and where they’re going to be hosted—what we call landing zones. Today, you have a wide variety of options that includes, at least, some combination of on-prem, public cloud(s), Kubernetes, VMs, PaaS, and bare metal. Because of the dynamic nature of applications and the complexities of enterprise IT budgets, choosing is rarely as simple as just identifying the least expensive option.

Mutual of Enumclaw, a 100-year-old insurance company from Washington, modernized their policy processing system in order to reduce TCO and focus on their software and customers - not infrastructure. However, they realized serverless development still presents many DevOps challenges like environments, workflows, documentation and local development.

I’ve learned a lot about serverless in my first full year at Stackery after joining from the Ops-focused automation company, Puppet. I’ve learned how to deploy rich CMS-backed web applications in a serverless way, how to cast incantations using CloudFormation’s intrinsic functions, but most of all I’ve learned that there’s a lot to learn in order to be successful in AWS.

Virtana recently published the results of a new State of Hybrid Cloud survey. One of the findings is that 81% of companies in the study who have started their migration to the public cloud have engaged multiple providers. This result tallies with a recent Gartner survey of public cloud users, in which 81% of those respondents said they are working with two or more providers.

When you want to stay ahead and on top of things in a fast-moving industry, machine learning (ML) is surely one of the trending solutions. Today, innovative companies already have leading Machine Learning tools well-integrated into their processes. In comparison, your start could seem dreadfully slow. Or maybe you just don’t have the time or resources to invest in running your own Machine Learning training infrastructure.

As your Elastic usage increases and your use cases expand, it's important to know the benefits and cost savings that you can achieve by running Elasticsearch as a service. But since every Elasticsearch implementation can vary by use case and deployment model, it can be complicated to tackle on your own. So with that in mind, we are excited to share the Elastic Cloud Value Calculator.

Businesses are always looking for ways to increase efficiency and eliminate waste. For software-driven companies, DevOps is one approach that helps to achieve this. The goal of DevOps is faster software delivery to the end-user while maintaining high software quality. DevOps enhances collaboration between operations and development teams for faster code deployment. When evaluating the effectiveness of your DevOps model, it is critical to use metrics relevant to your organization.