Play the Long Game: Scaling Without Breaking the Bank (or Your Team)
Contributed by Abel Levya, Sales Engineer at ScienceLogic.
Operations | Monitoring | ITSM | DevOps | Cloud
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Understand and manage your Datadog spend with Datadog cost data in Cloud Cost Management
As your organization scales its Datadog footprint, you want to understand what’s driving cost changes and promote cost awareness. But to take meaningful action, you need more than a monthly bill—you need real-time, contextualized cost data tied to services and teams. Without this visibility, it’s hard to assign ownership, prevent cost overruns, or identify which changes are affecting spend.
LLM Observability with Honeycomb.io
When your software integrates with Generative AI, you need great observability. You need to see everything about the interaction with the LLM. You also need to see everything around it! That's application observability, with distributed tracing.
Beyond Testing: Ensuring Uptime with Playwright
Join Nočnica and Filip for best practices on using your Playwright tests across your SDLC.
Stockholm Observability journeys panel with PostNord, AWS, and Kanari Sweden
A dynamic discussion with Grafana experts and local observability leaders sharing successes, setbacks, and next steps in their observability journeys.
.NET Logging with Serilog and OpenTelemetry
Debugging modern.NET apps isn’t as simple as scanning logs anymore. With services spread out and systems growing more complex, it's easy to miss the bigger picture. Serilog gives you clean, structured logs. OpenTelemetry brings in traces and metrics to connect the dots. This guide covers how to wire up Serilog with OpenTelemetry, send logs to traces, and build an observability setup that helps you troubleshoot, without digging through disconnected logs for hours.
Getting Started with Loki for Log Management
Logs are essential, but managing them can be tedious. They quickly consume storage, slow down your searches, and make troubleshooting feel like an endless chore. Loki monitoring helps simplify this process, offering a more efficient approach to logging that developers can appreciate.
A New Era of Efficiency: Leveraging AI, Data, and Modernization to Improve Public Services
Greg Reeder from Datadog talks with Martha Dorris, a leader in government customer experience, about how agencies can drive efficiency using AI, real-time data, and observability. They highlight CX wins at the State Department, IRS, and CBP—showing how smarter monitoring and design improve services, reduce costs, and strengthen citizen trust.
What is Amazon Inspector? Monitoring and Alerting with Amazon Inspector
Amazon Inspector is an automated security assessment service that scans AWS workloads for vulnerabilities, misconfigurations, unintended network exposure and compliance risks, helping organizations enhance cloud security, detect threats, and meet regulatory requirements (such as ISO/IEC 27001, HIPAA, NIS 2 and SOC 2 Type 2) in real time. Amazon Inspector discovers and scans Amazon EC2 instances, container images in Amazon ECR (Elastic Container Registry), and Lambda functions.
Observability vs Monitoring: Enhancing, Not Replacing
In the dynamic world of IT operations, a common misconception has emerged: Observability vs Monitoring is often framed as a battle where one replaces the other. At Icinga, where open-source monitoring is our expertise, we aim to clarify this misunderstanding. Observability doesn’t supplant monitoring—it complements and enhances it. The term “Observability” has become a buzzword in the tech industry, often touted as the modern solution to outdated, static monitoring practices.