Operations | Monitoring | ITSM | DevOps | Cloud

JFrog has always prioritized universality, ensuring software development teams have true freedom of choice. Core to the JFrog Platform, JFrog Artifactory is the world’s most versatile artifact manager, natively supporting nearly 40 package types. After taking in valuable feedback from the developer community, we’re thrilled to discuss how we’re further expanding our universe with the support of Hex packages.

Every CIO’s ultimate goal is to create a self-healing enterprise. Self-healing IT systems have the ability to proactively prevent issues within the IT environment, ensuring seamless and uninterrupted services that support business continuity. While automating every possible task seems like an obvious solution, implementing changes in a production environment can be challenging.

In today’s fast-paced digital landscape, networks are more complex than ever. With the expansion of multi-cloud environments, 5G rollouts, IoT adoption, and ever-evolving security threats, IT teams are under immense pressure to keep networks running smoothly while ensuring compliance and minimizing downtime. This is where Network Configuration and Change Management (NCCM) comes in to play.

The integration of artificial intelligence (AI) presents both unprecedented opportunities and emerging threats. Gartner’s Strategic Roadmap for Cybersecurity Leadership emphasizes the need for adaptive strategies that align with business objectives and technological advancements. Concurrently, the UK’s National Cyber Security Centre (NCSC) has highlighted the dual-edged nature of AI in its report on the impact of AI on cyber threats.

When managing infrastructure and deploying applications in a cloud-native environment, two popular tools that developers often compare are Helm and Terraform. While both are used to automate deployments, they serve different purposes and operate in distinct ways. Understanding the differences can help you make the right choice for your use case.

OpenTelemetry is an open-source tool that helps you keep an eye on your application’s performance. Whether you’re building microservices, using serverless setups, or working with a traditional monolithic app, it’s crucial to monitor and trace your app’s behavior for debugging and optimization. OpenTelemetry's Python instrumentation is an excellent way to track traces, metrics, and logs across your entire app.

Apache Tomcat logs are essential for monitoring, debugging, and maintaining Java applications running on Tomcat. These logs capture critical information such as server startup details, request handling, and application errors. They help developers and system administrators troubleshoot issues, analyze traffic, and ensure application stability. Tomcat generates multiple logs, each serving a distinct purpose.

If you're looking for a straightforward way to collect NGINX metrics via OpenTelemetry and send them to your Graphite-based monitoring setup, this article is for you! With minimal configuration you’ll be collecting key metrics from your NGINX connections within minutes. In this article, we'll explain how to install the OpenTelemetry Collector, and easily configure it to receive and export NGINX metrics to a Hosted Carbon endpoint.