Operations | Monitoring | ITSM | DevOps | Cloud

Today, you probably wouldn’t blink at the idea of involving security in your development process. In fact, “shifting security left” has become so commonplace in the security industry, that there are conferences and job titles dedicated to SecOps (or DevSecOps or SecDevOps *eye roll emoji*). Yet, it wasn’t that long ago that the massive transition to this mindset took place.

In my last post I walked through a brief introduction to Application Insights, and APM tools in general, and hopefully the simple outside-in availability test I concluded the chapter with has been a useful starting point for you on your APM journey. In this post, I’m going to dig deeper into Application Insights and walk you through a use case that should make the purpose of Application Insights really clear.

Azure Functions has recently released its new version “Azure Functions 3.0” and it is generally available now. This blog is all about the upgraded version and how far it is scaled up from the previous versions. Any business architecture will involve Azure Functions, this need provokes the necessity of upgradation in such resources.

A unified cloud infrastructure data model is fundamental for enterprises using multiple cloud vendors. Enterprise customers prefer to use multiple cloud vendors as a way to prevent being locked in and dependent on specific platforms. According to Gartner the top vendors for cloud infrastructure as a service in the years 2017-2018, are Amazon 49.4%, Azure 12.7% and Google with 3.3%.

Even with a complete understanding of the benefits that come with running a hybrid environment, companies are still challenged with digital transformation best practices: what to move, when to move it, what’s being spent, how it’s performing, and what’s being overutilized and underutilized. This is why Amazon Web Services (AWS) is one of the most strategic partners in LogicMonitor’s ecosystem.

IAM is the de-facto method of authorization in AWS. Most Kubernetes “Quick Start” guides for AWS do not adequately cover how to manage IAM access in your pods. This blog series will first go over the security issues specific to AWS IAM on Kubernetes, then compare solutions, and then end with a detailed walkthrough for setting up your cluster with one of those solutions.

Today, we are excited to announce a huge step forward for Sysdig Monitor. We’re introducing the ability for our customers to use Sysdig to scale Prometheus monitoring to millions of metrics with long-term retention. The improvements we are releasing make Sysdig the first cloud-scale monitoring offering to deliver full Prometheus compatibility.