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How DevOps Monitoring Works: Concepts, Types & Best Practices
Learn about DevOps monitoring, including the key practices, principles and tools required that help to support and improve the software development lifecycle.
How To Choose Cybersecurity Frameworks For Your Organization
Kickstart or enhance your security strategy with a cybersecurity framework. See the best frameworks and understand which are right for your organization.
Incident Severity Levels 1-5 Explained
Incident severity levels indicate how an incident impacts your customers, so you can prioritize and respond appropriately. Learn how to define and use them.
Vulnerabilities, Threats & Risk Explained
Vulnerability, threat and risk are three fundamental concepts in cybersecurity. Learn from industry experts how they differ and play out in IT environments.
Cloud Network Monitoring: An Introduction
Network monitoring vs cloud monitoring: do you really need both? Find out why cloud network monitoring is the key to business success in this article.
Using Threat Intelligence To Advance Your Security Posture
This article helps you begin a threat intelligence program and includes techniques for incorporating threat intelligence into your cybersecurity strategy.
The Democratization of Data: The Pros & Cons of All That Data
Data democratization means that more people have access to data than ever before. Is this good, bad or complicated? Explore the pros and cons of all this data.
Network-as-Code Explained
See how Network as Code provides consistency in environment configurations that manual configuration management processes cannot easily deliver.
Trunk-Based Development vs. GitFlow: Which Source Code Control is Right for You?
Understand trunk-based development and GitFlow, two source code management approaches, so you can decide which is right for your developer environment.
What Is TBD? Trunk-Based Development & Its Role in CI/CD
Trunk-based development is a popular way to control source code when developing apps. Learn how TBD works, how it supports CI/CD, and when to avoid it.
Status Pages: The Ultimate Guide
Status pages show real-time status of applications and services. See how these best practices make status pages succeed — and why that’s crucial for business.
The Very Best Blockchain & Web3 Podcasts
In this blog post we review some of the most important - and informative - podcast series in the Web3 & Blockchain space.
Production Environment Review: The Ultimate Checklist
Make releases smoother! Check this list for all the areas you want to review in production environments to improve release quality and cadence.
When and Why To Adopt Feature Flags
Learn all about feature flags, a powerful way to fine-tune your control over which features are enabled within a software deployment.
Best DevOps Books: The Definitive List
In this blog post we’ll look at the core, fundamental books that have played the largest role in creating the modern DevOps movement.
Content Delivery Networks (CDNs) vs. Load Balancers: What’s The Difference?
CDNs and load balancers fulfill similar roles, but they are different tools. This article breaks down the differences so you can decide which is right for you.
The Bulkhead and Sidecar Design Patterns for Microservices & Incident Resolution
This article looks at Bulkhead and Sidecar design patterns, including how they’re used in microservice designs — and how they help overall incident support.
CVE Severity & How To Respond To CVEs in Builds
CVEs can be serious enough to reject a build. These approaches and best practices help you assess CVE severity and determine how to manage a build.
Kubernetes 101: How To Set Up “Vanilla” Kubernetes
Kubernetes 101: Set up the most basic K8s cluster — also known as Vanilla Kubernetes — with this hands-on tutorial that gets you started quickly and easily.
Network vs. Application Performance Monitoring: What's The Difference?
Monitoring networks and application performance are different practices. Understand the changes and see how, together, both can offer end-to-end observability.
Common Anomaly Detection Challenges & How To Solve Them
Anomaly detection is a key use case for machine learning, but it comes with challenges. Learn how to address issues of data quality, imbalance and sample size.
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