Operations | Monitoring | ITSM | DevOps | Cloud

Did you know that 81% of surveyed US businesses struggle to keep up with the pace of change? As digital transformation accelerates, IT teams are under increasing pressure to manage environments that are more complex than ever before. Hybrid IT, the blend of on-premises and cloud infrastructure with SaaS solutions, has emerged as the go-to strategy to streamline workflows amid these challenges. Let’s discuss how an intelligent hybrid strategy can position your organization for maximum scalability.

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.

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.

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.

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.

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.

It's the start of a new year. Like last year, I want to examine what analysts are predicting for the cybersecurity landscape in 2025 and the risks they feel will be front and center. There is no shortage of predictions for this year’s cybersecurity landscape outlook—so many, it's impossible to compile them all. While not a thorough summary of the threats and risks in 2025, this article highlights the most common topics covered by cybersecurity specialists.

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.

Getting telemetry data out of modern applications is very straightforward—or at least it should be. You set up a collector that either receives data from your application or asks it to provide an up-to-date state of various counters. This happens every minute or so, and if it’s a second late or early, no one really bats an eye. But what if the application isn’t around for long? What if every second waiting for the data to be collected is billed?

The ScienceLogic AI Platform and Skylar AI enable organizations to maintain the performance, health, and security of their IT environments. By providing comprehensive observability enhanced by unsupervised artificial intelligence, they turn data into actionable insights. With its unparalleled visibility and intelligence across complex multi-cloud, hybrid, and on-premises infrastructures, IT teams across the globe use ScienceLogic to proactively monitor, automate, and optimize operations.