CFEngine: The Agent Is In 8 - Security Hardening Holiday Calendar
"CFEngine: The Agent Is In" is our monthly webinar series, where we show new features, teach best practices, and keep the community informed about everything CFEngine.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
OpsRamp for the Enterprise
Where do modern enterprises go to monitor and manage complex, hybrid, environments? Simple.
One Line Developer Experience - Terraform, ArgoCD, Crossplane, and Shipa
As we kick off the new year and our release of Shipa 1.5.0, dabbling in the art of the possible, what if it was possible to provide your developers with a single line of configuration to get their ideas into production. Shipa is an application and policy abstraction layer which easily integrates with your DevOps toolchains. In this example, we will show what platform engineering or DevOps teams can create to allow for development teams to only have to make a change to a singular line of YAML to get their ideas into production.
Deploy SigNoz using Helm charts, 500+ members on our slack community - SigNal 08
Welcome to SigNal 08, and the last SigNal issue of 2021! 🥳 This month, we made numerous PRs improving our product experience, added new awesome contributors, and launched a new initiative to discover better UX for our users. We also crossed 500+ members on our Slack community! 🥳 Wrapping up 2021, let’s see what Humans at SigNoz were up to in the month of December!
Building a frictionless Azure Support Workflow
This blog is a write up on one of the best webinars hosted by Serverless360, “Building a frictionless Azure Support Workflow”, presented by Michael Stephenson. In this session, Michael Stephenson, Microsoft Azure MVP, who has extensive experience coaching organizations to adopt Microsoft Azure successfully, will walk us through the Serverless360, highlighting the product capabilities to address the business challenges from an operational and support perspective.
6 AIOps Myths You Should Be Wary Of
AIOps myths and how to avoid them Gartner coined the term AIOps in 2016 to refer to the combining of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.” In the five years since, AIOps has grown leaps and bounds — last year, AIOps was at the peak of the Gartner hype cycle.
Three Preventative Strategies to Help Mitigate Asset Risk in Your Agency
For many federal employees, the workplace has shifted from a traditional office setting to being at home—in a kitchen, bedroom, basement, or any spare desk in the house. With a physical workplace transformation of this nature, cybersecurity concerns come to the forefront. While most agencies have been diligent in addressing these concerns, how has your agency planned to secure its physical inventory?
Pulling All Your Kubernetes Cluster Images from a Private Artifactory Registry
There are many benefits to working with JFrog Artifactory as your private Docker registry, allowing you to store, share and deploy your binary artifacts in a single source of truth. This blog post will focus on using Artifactory in Kubernetes. Specifically, we’ll walk through the steps for configuring Kubernetes to pull images from Artifactory and most importantly – scale up! It will also describe how you can enable cluster-wide authenticated access to Artifactory behind the scenes.
Chocolate Chip Cookies And AWS Costs: What If We Ran Bakeries Like We Run SaaS Companies?
When you work in tech, there are certain truths about the holiday season you can always count on. For example, you’ll be holding your breath up until New Years waiting to see if deals will come across the line. The end-of-year planning you intended to have done by December 31, will inevitably bleed into January. And, without a doubt, you’ll spend your holidays trying to explain to your relatives what exactly it is that you do.
Why Intuitive Troubleshooting Has Stopped Working for You
It’s harder to understand and operate production systems in 2021 than it was in 2001. Why is that? Shouldn’t we have gotten better at this in the past two decades? There are valid reasons why it’s harder: The architecture of our systems has gotten a lot more sophisticated and complex over the past 20 years. We’re not running monoliths on a few beefy servers these days.