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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Microservices versus monoliths

Monolithic and microservices architectures represent two fundamentally different approaches to software design. By understanding the benefits and drawbacks of each architectural style, developers can make informed decisions about which approach best fits their application needs. While monolithic architecture bundles all application functionality into a single deployable unit, microservices architecture breaks the application into smaller, independently deployable services.

Data governance frameworks for distributed microservices applications

Implementing robust data governance in microservices architectures presents unique challenges and opportunities. As organizations decompose monolithic applications into distributed services, traditional centralized data management approaches no longer suffice. Each microservice may manage its own data store, creating potential inconsistencies, compliance risks, and security challenges.

CloudTrail Vs. CloudWatch: A Full Comparison Guide

One tracks what happened, who did it, and when it happened. The other monitors how your systems are performing so you can see why and do something about it. Knowing the difference between CloudTrail vs. CloudWatch isn’t just helpful for engineers. It’s essential for finance and leadership teams, too. That’s because the two services can quietly rack up costs in the background.

Simplifying Container Observability for DevOps Teams

In modern microservices architectures, container observability is crucial for maintaining reliability and performance. It helps teams detect issues early and optimize distributed systems. This guide will walk you through the essentials of container observability, including advanced techniques and troubleshooting strategies to ensure your containerized applications run smoothly.

AWS Centralized Logging: A Complete Implementation Guide

In cloud environments, logs are often spread across numerous services, making it difficult to track down issues or gather meaningful insights. For AWS users, this challenge can become especially time-consuming. Centralized logging in AWS helps by bringing all your logs into a single platform, making management and analysis easier.

Enterprise Policy Management Example: Quarantine Packages Using Policy as Code

Cloudsmith built Enterprise Policy Management (EPM) on Open Policy Agent (OPA) and uses Rego to define policies as code. These policies control how packages move through your systems. They're versioned, reviewable, and enforceable. EPM is in early release, but it already draws on extensive metadata Cloudsmith collects from your artifacts: format, version, tags, license, vulnerability, malware scan results, and digital signatures.

Enterprise Policy Management with Cloudsmith

Enterprise Policy Management (EPM) is a programmable policy-as-code layer that controls the security, compliance, and flow of artifacts across the software supply chain. Teams can codify rules once and apply them continuously across repositories. With Cloudsmith’s platform, organizations extend policy enforcement across teams, environments, and geographies without introducing friction, including the open source packages that the chain depends on.

Data Center Digital Twin: Modeling, Planning, and Visualization of All Your Sites

To manage today’s complex and distributed data center environments, data center professionals need more than spreadsheets, static diagrams, and siloed monitoring tools. They need a real-time and interactive view of their infrastructure, a data center digital twin. Modern Data Center Infrastructure Management (DCIM) software makes this possible. Far beyond basic monitoring or asset tracking, DCIM software delivers a true digital twin.

How Latitude.sh, Wasabi, and Megaport Unlock Cost-Effective Multicloud

Learn how to reduce cloud costs without sacrificing performance by integrating Latitude.sh's compute, Wasabi's storage, and Megaport's private network into your multicloud architecture. IT teams are under increasing pressure to reduce costs without sacrificing performance or scalability in their cloud infrastructure. I’ve had several customers bring up a need for reducing compute cost and storage costs, the need for custom hardware specs, and the like.