Operations | Monitoring | ITSM | DevOps | Cloud

There’s nothing like debugging a broken system at 2 AM, running on caffeine and frustration. When everything’s on fire, logs are your lifeline. That’s where trace-level logging comes in. Unlike standard logs, it captures the step-by-step execution of your code—think of it as the difference between a crime report and full CCTV footage. But more logs don’t always mean better debugging. Too much detail, and you’re drowning; too little, and you’re guessing.

Choosing the right Container Network Interface (CNI) for Kubernetes is critical to achieving optimal performance, security, and scalability. With the launch of Canonical Kubernetes LTS (long-term support) last month, Canonical decided to integrate Cilium as the default CNI in order to reflect our commitment to delivering a modern, security-maintained, high-performance Kubernetes experience.

Data is essential for gaining a competitive advantage in business. It has the power to reveal new insights that offer opportunities for profit, efficiency, and operational scaling. This is why organizations of all sizes and industries are eager to leverage data for an edge in the marketplace. However, working with data can be challenging for many businesses due to various obstacles like database storage scalability, security, and compliance.

AWS is one of the most popular public cloud platforms, offering over 240 cloud services. Despite the cloud provider’s efforts to make its tools easy to use, managing the vast array of AWS resources and services can be challenging. For example, AWS environments require continuous monitoring to determine what changes need to be made to reduce costs, improve performance, and secure your systems. This is where AWS monitoring tools, services, and best practices can help.

Atlassian recently dropped a bombshell: OpsGenie is shutting down. If you’re an OpsGenie user, this news probably hit hard. After investing time setting up your alerts, configuring oncall schedules, and training your team on OpsGenie, you’re now faced with finding and migrating to a new incident management solution. We understand the frustration and uncertainty you’re feeling right now. The reactions on Hacker News show you’re not alone in this challenge: Take a deep breath.

This in-depth analysis examines PagerDuty’s pricing structure for 2025, going far beyond the advertised rates to uncover the true total cost of ownership. We break down the additional fees, essential add-ons, implementation timelines, and ongoing maintenance costs that most organizations discover only after committing.

Every engineering leader knows the stress of an upcoming seasonal spike. Whether it’s tax season, open enrollment, or Black Friday, there’s always that moment where someone says, “Are we actually ready?” It’s usually followed by a scramble: auditing services, chasing down owners, updating spreadsheets, running perf tests, checking alerting thresholds, verifying infra configs—much of it manual, fragmented, and slightly different every time. It’s exhausting.

The amount of traffic handled by AI systems can’t be overstated. Over half of all organizations in India, the UAE, Singapore, and China use AI, and traffic from generative AI sources jumped by 1,200% since July 2024. While demand for AI-powered workloads is steadily increasing overall, traffic to individual AI providers is much more unpredictable. User demand spikes and wanes unexpectedly, but like any service, users expect you to always be available and responsive.

A benchmark can be interpreted as a standard of comparison used to assess something. In everyday life, for example, when we want to buy a new cellphone and want to know which one is faster, we can see the speed test (benchmark) by measuring how fast the cellphone opens applications or runs games. From there, we can compare which cellphone is better based on the numbers produced.