Operations | Monitoring | ITSM | DevOps | Cloud

At Coroot, we’re passionate about providing developers with the tools they need to build and maintain high-performing applications. Recently, we had the opportunity to help a team using FerretDB, the open-source document database offering MongoDB compatibility with a PostgreSQL backend, significantly improve their monitoring and performance. This is their story.

Implementing distributed tracing with OpenTelemetry helps track requests across services, providing insights into performance and pinpointing issues.

SNMP monitoring is crucial for tracking network device performance, helping optimize and secure your network with real-time insights.

As 2024 draws to a close, we reflect on a year of remarkable growth, innovation, and industry leadership at Resolve. From advancing IT automation solutions to shaping the future of network automation, this year has been a testament to our commitment to empowering enterprises worldwide. With groundbreaking product enhancements and meaningful partnerships, this year has truly been one for the books.

In modern microservice architectures, requests often span multiple services, making it challenging to monitor and debug performance issues. Distributed tracing provides the ability to follow a request’s journey through these services, identifying performance bottlenecks and dependencies. The W3C trace context standard simplifies this process by introducing two critical headers: traceparent and tracestate.

Amazon has heard FinOps practitioners’ cries asking for new AI tools, and the answer is Titan and AWS Bedrock. These new tools provide the same generative AI abilities of generating images like expected from DALL-E, operating like a Large Language Model (LLM) like ChatGPT, and even transcribing audio to text. But how do these new tools compare to pre-existing ones like Azure’s OpenAI? Most importantly, which of these tools is the best financial investment for your organization?

This article is part of a series on setting up an end-to-end monitoring and alerting stack using Prometheus. Continuing our series on setting Prometheus in a Docker container, we will add a Grafana instance to our Prometheus setup. Please refer to the previous article where we use docker compose to run Prometheus and Alertmanager together as that forms the basis to run multiple related containers. We will add a container to run Grafana to the same compose file in this article.