Operations | Monitoring | ITSM | DevOps | Cloud

The Splunk Security Research Team has been working on Kubernetes security analytic stories mainly focused on AWS and GCP cloud platforms. The turn has come now for some Azure Kubernetes security monitoring analytic stories. As outlined in my "Approaching Kubernetes Security — Detecting Kubernetes Scan with Splunk" blog post, when looking at Kubernetes security, there are certain items within a cluster that must be monitored.

If you’re looking to deploy your services to Kubernetes, Helm works great. However, once you start deploying to multiple environments, developing code as a team, or automating in a CI/CD pipeline, you start to run into limitations with Helm. Codefresh Pipelines using Helmfile has the power and flexibility to address these issues and many others. It’s also one of the best ways to organize your Helm code and values.

Between late 2019 and early 2020, I interviewed more than 200 CTOs of growing US and EU startups on the topics of the Cloud and their working methodologies. I discovered that 86% of these SMB startups use the Cloud and that 48% started their business on Heroku and then migrated to a Cloud provider - especially AWS (Amazon Web Services).

Permissions, access controls, user rights, or privileges define what an identity can see or do in an organization. These terms are often used interchangeably based on context, and essentially perform the same function—granting or denying access to the resources in an enterprise.

Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.

As a fast-moving startup, you don’t have the luxury of spending days figuring out exactly what you need in a Kubernetes cluster. We’ve been there. To help out, we wrote a whole ebook on the blueprint we followed as we built and deployed our own web app in Kubernetes.

Every Puppet practitioner can appreciate the wealth of information stored inside PuppetDB. Although Puppet Enterprise console offers some insights into the data, we sometimes need rich dashboards, possibilities to correlate data about facts, nodes and reports and drill-down features. In short, we wish there were a way to unleash the full power of PuppetDB data to create situational awareness about our estate. This article will show that PowerBI is a very powerful companion to PuppetDB.

The financial services industry has built in more capital buffers to prevent market shocks from bringing another economic collapse. In addition to these financial controls, many banks and personal trading platforms have begun building resiliency into information technology shocks. Despite these new precautions, we’re still seeing outages today, preventing customers from depositing and withdrawing their money, completing transactions, and executing trades during key events.