Kubernetes Security Fundamentals: Authentication - Part 2
In this video we’ll continue looking at how Kubernetes handles authentication with a look at bootstrap and static token authentication.
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The latest News and Information on Application Performance Monitoring and related technologies.
SigNoz - Open-Source Alternative to DataDog
More and more companies are now shifting to a cloud-native & microservices-based architecture. Having an application monitoring tool is critical in this world because you can’t just log into a machine and figure out what’s going wrong. We have spent years learning about application monitoring & observability. What are the key features an observability tool should have to enable fast resolution of issues. In our opinion, good observability tools should have.
Announcing self-serve SAML SSO: take control of your team's authentication
Managing user authentication and security for your team just got a serious upgrade. Raygun now offers self-serve security assertion markup language (SAML) single sign-on (SSO) — making it easier than ever to centralize and secure access to your Raygun account. SAML SSO is now available for all customers. If you’re on a Business or Enterprise plan, we offer this feature at no additional cost. On other plans? No problem—you can add SAML SSO for just $50/month.
Rich Logs Collector for Docker Compose Services with SigNoz
Our production services run on a Linux machine using Docker Compose, keeping our infrastructure simple and manageable. Docker Compose allows us to easily define and manage multi-container applications, providing a straightforward way to orchestrate services, which helps reduce complexity in our infrastructure. Recently, we decided to switch to SigNoz to gain more flexibility and control over our observability stack. Following the SigNoz setup guide, we used logspout to collect and forward logs.
Datadog on Cloud Workload Identities
Datadog operates dozens of Kubernetes clusters, tens of thousands of hosts, and millions of containers across a multi-cloud environment, spanning AWS, Azure, and Google Cloud. With over 2,000 engineers, we needed to ensure that every developer and application could securely and efficiently access resources across these various cloud providers.
Unleashing the power of application performance management with OpManager Plus
A modern IT infrastructure has many layers—or stacks as we call it—that, together, are critical to running an organization. In this blog series, we’ll attend to each stack in turn, talk about why they matter, and how OpManager Plus is adept at providing visibility into each of them. Let’s start off with the first part, where we dive into the world of application performance management (APM) and understand its indispensable role in ensuring seamless IT operations.
How to deploy the eG VM Agent via Microsoft Endpoint Manager's Intune to monitor your Windows 365 Cloud PC desktops.
Today I will cover how to deploy the eG VM Agent via Microsoft Endpoint Manager’s Intune so that you can monitor your Windows 365 Cloud PC desktops.
How Appwrite integrated Raygun for bulletproof error reporting: lessons learned
This guest post comes from Appwrite, an open-source backend-as-a-service platform helping developers build secure apps faster. Appwrite chose Raygun’s API for direct, lightweight error reporting that avoids SDK bloat and dependency risks. In this post, they share their journey integrating Raygun, the challenges they tackled, and the impact on their production environment. We’re excited to share these insights from the Appwrite team!
Stop Guessing, Start Knowing: The Power of Integrated Logging and APM
Let’s talk about something we’ve all experienced: a customer reports that their checkout process is “sometimes slow,” – or maybe you noticed an unexpected spike in response times. So, you dive into the logs, grep through thousands of lines, and try to match timestamps with your APM traces. Sound familiar? At Scout, we’ve seen countless engineering teams struggle with this disconnect between their logging and APM tools.
Use Datadog App Builder to peak, purge, or redrive AWS SQS.
This video aims to showcase how developers can self-serve from an application to simplify the management of their AWS cloud resources. Rather than switching between tools or reaching out to another team for help, developers can take action directly from their observability tool, enabling faster resolution of application issues. We will demonstrate how to build a simple app that allows them to minimize disruptions by quickly taking action on their SQS queues in AWS, using insights provided by Datadog.