Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to logging tools, organizations often face a classic tech dilemma: build vs. buy. Should you invest in a robust, ready-to-use SaaS solution like Sumo Logic or dive into the customization rabbit hole with a PaaS option like Elastic? It's a debate as old as time—well, as old as software, anyway. Let's break it down in a way that actually makes sense, and hopefully, it’ll spark less drama than the pineapple-on-pizza debate.

Ensuring a seamless player experience is critical for game developers, and yet unanticipated crashes and performance issues continue to harm games’ reputations and disrupt player engagement. To address this developers need proactive error monitoring across multiple platforms. Luckily, Sentry offers a robust SDK designed specifically for Unreal Engine to help developers debug and maintain performance effectively.

Throughout 2024, we made a ton of updates to Grafana Cloud, our fully managed, cloud-hosted observability platform powered by the Grafana LGTM (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics) Stack. And, looking back, most of those updates were made with the same three goals in mind: to make Grafana Cloud more efficient, more intelligent, and easier to use, including for those just starting out on their observability journey.

It’s no secret that demand planning is a critical component in managing a consumer packaged goods (CPG) company. To achieve success in this competitive market, you must anticipate and meet customers' needs efficiently. But I think it’s important we talk more about how to manage the two fundamental factors that influence demand planning: pricing and trade promotions.

"How can there be an extra 30% overhead in applications like Apache Spark that other optimization solutions can't touch?" That's the question that many Pepperdata prospects and customers ask us. They're surprised—if not downright mind-boggled—to discover that Pepperdata autonomous cost optimization eliminates up to 30% (or more) wasted capacity inside Spark applications.

When network issues strike, every second matters. Latency or packet loss can frustrate users and hurt revenue. Learn how Kentik AI uses natural language to speed up troubleshooting and isolate problems quickly.

As organizations transform and modernize their digital operations, the choice of infrastructure isn’t always clean cut. Hybrid cloud architecture is an increasingly popular approach to IT infrastructure, allowing organizations to take advantage of the best features of cloud and on-premises solutions. This approach enables enterprises to optimize workload placement for performance and cost, match applications to ideal environments, and strategically distribute critical assets.

Mean time to repair (MTTR), sometimes referred to as mean time to resolution, is a popular DevOps and site reliability engineering (SRE) team metric. MTTR identifies the overall availability and disaster recovery aspects of your IT assets or application workloads. The acronym MTTR can cause some confusion since it has different meanings across different industries. Sometimes, MTTR refers to mean time to respond: the amount of time needed to react to a problem.

Full stack observability (FSO) includes the ability to measure and monitor all layers of business infrastructure, security, and applications, from the underlying hardware and network performance to the user-facing software. As businesses shift from traditional, monolithic systems to more complex environments involving on-premises (on-prem) and cloud infrastructure, there comes a critical need for holistic observability.

Azure IoT Hub enables you to monitor on-prem devices down to the smallest temperature change and react accordingly from cloud device commands. But how does it work? What other features does Azure IoT have? And, most importantly, how much does it cost? Learn all you need to know about Azure IoT Hub from our expert guide.