The recent ServiceNow Secure Sockets Layer (SSL) certificate error disrupted operations for hundreds of organizations causing widespread connectivity failures. IT operations stalled, developers hit roadblocks, and businesses across industries felt the impact. The culprit? An expired SSL certificate. While these disruptions highlight the importance of SSL monitoring, they point to a deeper issue: trust.

Today’s dynamic multi-cloud ecosystems receive logs from countless sources. Relying on custom collectors and integrations can lead to tool sprawl, pipeline breakdowns, and time-consuming maintenance. Enter Sumo Logic’s Universal Connector, your streamlined solution for collecting logs from any source. With seamless API integrations, Universal Connector simplifies log collection and eliminates the overhead of building custom pipelines.

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.