Operations | Monitoring | ITSM | DevOps | Cloud

Technologies such as serverless computing frameworks and CI/CD automation tools help accelerate software development lifecycles (SDLC) to give development teams a competitive edge in the marketplace. Armed with these technologies, teams can deploy and innovate faster and more frequently by automating repetitive tasks and eliminating the need to manage or provision servers.

In this webinar, we talk with platform engineering leaders at BambooHR, a SaaS leader in the Human Resources space, about furthering their journey into Kubernetes. We are joined by Kelsey Hightower to help moderate and provide commentary on what he has seen in the space. As BambooHR kicks off their journey with Shipa, learn from the prospectus of the team moving the needle in engineering efficiency and developer experience.

Data center capacity refers to key data center resources (i.e., power, space, cooling, and power/network port connections) that are available to meet the requirements of current and future IT demand. Accurately planning and managing data center capacity is essential for maintaining uptime and increasing efficiency. Failure to do so can be very expensive and detrimental to the business.

As developers, we know how much work great software requires. We know that you need to focus on multiple things at once to release awesome, custom-made applications for your clients. We know the last thing you want to spend time doing is fiddling with servers and stressing about downtime. That's why we've made it possible to deploy your code directly from your repo to any cloud in just a few clicks.

So you have a Kubernetes cluster, and you are tempted to isolate your production from staging? If you are still unsure, don’t know where to start, or have doubts about the cost, this article should help you shine a light through all of your interrogations.

We are excited to be named a Representative Vendor in the domain-agnostic AIOps platforms market in the 2021 Gartner Market Guide for AIOps Platforms. We believe that this validates our unique approach to delivering an observability solution that accelerates your success with: Read our summary of this Gartner research report, below. If you haven’t noticed, AIOps is taking off.

I guess at this point, you have heard of a company called Amazon and its business unit called Amazon Web Services, or AWS. Although you can read different stories about its beginning, one common thread across all of them is that it started with the need to scale quickly while enabling developers to deploy their services rapidly.