Operations | Monitoring | ITSM | DevOps | Cloud

If you're working with search and analytics, you’ve probably heard about OpenSearch—the open-source alternative to Elasticsearch. OpenSearch is a powerful tool, whether you're building a search engine, running log analytics, or implementing full-text search in your applications. And the best part? You can integrate it easily with Python.

One of the cloud’s greatest advancements is its ability to scale resources like vCPU and memory based on demand. However, this auto-scaling can also lead to unexpected cost fluctuations — sometimes subtle, sometimes dramatic — especially with new or unpredictable workloads. That’s why cloud forecasting is essential. It helps you stay ahead of unpredictable costs by aligning your spending with business goals. How? We’ll break down how cloud cost forecasting works.

For platform teams, success means empowering developers with efficient, reliable tools and workflows that accelerate software delivery. As organizations scale, platform engineering teams must balance developer autonomy with standardization while providing infrastructure that supports rapid, reliable software delivery. In today’s complex development environments, platform teams are crucial for maintaining productivity at scale.

CI/CD for generative AI applications presents unique challenges in model deployment, testing, and monitoring. Unlike traditional software applications, generative AI systems involve large model artifacts, complex dependencies, and specialized hardware requirements, making a sophisticated CI/CD pipeline essential for reliable delivery. As organizations embrace generative AI technologies, the need for specialized CI/CD solutions becomes critical.

Cloud computing has revolutionized IT infrastructure by offering unparalleled scalability and adaptability. However, organizations face significant challenges when it comes to effectively managing their cloud costs. Traditional IT Financial Management (ITFM) methodologies, designed for on-premises operations, often struggle to address the advanced financial complexities of cloud-based investments. This is where FinOps IT Financial Management takes center stage.

Operational excellence is a must for any military member, with decision-makers needing up-to-date and relevant intelligence to plan and manage an operation. Achieving decision advantage ensures an operation’s decision-makers have the intelligence they need to coordinate operations and use their teams and resources most effectively. As the military aims to achieve decision advantage, decision support systems (DSSs) and secure collaboration tools have become an integral part of these efforts.

When discussing observability, the “big 3” - logs, metrics, and traces, always get mentioned. But for some, more data doesn’t always mean better. Our lead engineer, JJ, had some advice to share about how logs may not be necessary for everyone. Simplifying your observability stack isn’t difficult - you just need to be intentional with implementation. Check out more MetricFire blog posts below, and our hosted Graphite service! Get a free trial and start using MetricFire now!

If you’ve ever struggled with understanding distributed traces, managing metrics, or debugging complex applications, OpenTelemetry is your best friend. But what about the OpenTelemetry UI? How do you visualize and interact with all that telemetry data? In this guide, we’ll explore the best ways to use OpenTelemetry’s UI options, from setting up a proper observability stack to choosing the right front-end visualization tools.

Modern application observability is essential for ensuring system performance, diagnosing issues, and optimizing user experiences. OpenTelemetry (Otel) and Grafana serve as two key components in achieving end-to-end visibility. While OpenTelemetry focuses on instrumenting applications to collect telemetry data, Grafana specializes in visualizing this data, making it actionable and insightful.