Cloud Operations teams face challenges—many beyond human scale—as they work to deliver agile and elastic services, keep pace with offering advancements, and meet business requirements:
Densify is a central point of infrastructure truth that makes optimization a cross-functional, ongoing, and automated part of your cloud infrastructure management lifecycle.
Our patented analytics run multidimensional performance analysis against your workloads and generate detailed models of predicted behavior. Tagging, business policies, and technical constraints are also considered. This combined model is evaluated against a deep understanding of cloud offerings to continuously deliver precise optimization recommendations to your team. These optimization directives feed into approval cycles and can even be implemented automatically.
Densify empowers your organization with:
Choosing an instance type and size for a workload is decision no human should have to make. Densify enables your DevOps organization to move beyond using tribal knowledge and educated guesses to resource workloads by delivering precise recommendations—powered by machine learning and tunable policies—that reduce risk and deliver better app performance. The challenges of correctly placing and sizing workloads and comparing platforms are eliminated.
For each optimization directive generated by Densify machine learning, an easy-to-digest Impact Analysis Report is automatically created to enable collaboration with app stakeholders. These reports justify the approval and implementation of the recommended changes by laying out the facts and data in an intuitive before and after format including all the details of any cost changes.
The PDF report can be automatically attached to change tickets in ITSM solutions like ServiceNow or Jira Service Desk, or distributed to the application manager or approver via Slack or Teams. Application managers value the information and transparency, building trust and increasing approval rates for optimization.
See an Example Infrastructure Impact Analysis Report
Densify seamlessly extends your CI/CD pipeline to enable continuous optimization (CO)—ongoing, automated implementation of optimization recommendations within your infrastructure.
Inject calls to Densify into your favorite infrastructure as code (IaC) template and your workloads will automatically be assigned to instances delivering the resources they need at the lowest possible cost. Continuous optimization can be easily integrated with and controlled by ITSM solutions like ServiceNow and Jira Service Desk.
provider "aws" {
region = "${var.aws_region}"
}
resource "aws_instance" "web" {
name = "Web Server"
#instance_type = "m4.large"
instance_type = "${lookup(local.densify_spec,"appr_type") == "all" ? lookup(local.densify_spec,"rec_type") : lookup(local.densify_spec,"cur_type")}"
ami = "${lookup(var.aws_amis, var.aws_region)}"
}
Cloud software developers can dynamically call Densify machine learning intelligence to properly size containers so they can focus on their app architectures and not on the guesswork of correctly configuring the infrastructure. Benefits include:
Densify integrates with your existing ITSM, CMDB, and other third-party systems, like APM. Our API enables you to easily export data and optimization recommendations for use in other tools.
We have infrastructure as a service, database as a service, and are looking at container and serverless architecture. We needed to operate, to plan, and to optimize—and were looking for a tool to help. Since cloud is constantly changing, Densify helps us optimize and modernize instances across public cloud infrastructure.
Alejandro Mata, IT Operations Director, Onelink BPO
Let our cloud experts show you how you can leverage automation to gain accuracy, performance, and agility when deploying workloads.
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