Operations | Monitoring | ITSM | DevOps | Cloud

Ping monitoring is an essential technique in network management used to assess the health and performance of a network by verifying the availability of servers and other network devices. It employs the ‘ping’ command, a basic Internet tool that tests connectivity between two networked devices.

As a business owner, if you want to ensure your success, you must establish and maintain network compliance. It may seem demanding, but by having a solid understanding of the laws and standards that apply to your industry, you can overcome many challenges that may arise. If you operate in industries like finance and healthcare, complying with numerous regulations may seem even more daunting, but it's crucial to demonstrate your commitment to delivering exceptional quality.

To optimize the performance of your network devices, you must gather and analyze all your network data. Usually, this information comes in the form of logs or syslog messages. Syslog is a form of messaging protocol used by network devices to collect statuses, events, logins, failures, and other important data.

FastAPI is a modern Python web framework based on standard Python type hints that makes it easy to build APIs. It's a relatively new framework, having been released in 2018 but has now been adopted by big companies like Uber, Netflix, and Microsoft. Using OpenTelemetry, you can monitor your FastAPI applications for performance by collecting telemetry signals like traces. FastAPI is one of the fastest Python web frameworks currently available and is really efficient when it comes to writing code.

DataDog is a paid SaaS tool that provides a range of products for monitoring applications and tech infrastructure. While CloudWatch is an Amazon Web Services product that monitors applications running on AWS infrastructure, or using AWS services.

If you work as a CTO, then you already know that having robust monitoring and analytical tools for your technology stack is a prerequisite to getting your job done right. Many companies that started off using Datadog discovered that it can become prohibitively expensive and complex when they needed to scale. As such, there are a lot of people out there currently seeking out alternatives.

The power of LLMs to solve real-world problems is undeniable, but unfortunately, in some cases, only theoretical. What’s stopping us from getting the most out of OpenAI’s text completion capabilities in production apps? One common problem is the inability to confidently guard against bad outputs in production the way we’re used to doing with non-AI test suites. Let’s go one step deeper. There is no equivalent of code coverage for an LLM.

Kubernetes has emerged as the de facto orchestrator for deploying and managing containerized applications. Its versatility and robust ecosystem have paved the way for innovative tools that leverage its capabilities, extending its utility beyond mere container orchestration. Among these tools, Crossplane and Qovery stand out for their unique approaches to simplifying cloud resource management.

Borrow our templates for a 90-day onboarding plan that will help new hires succeed.

Over December and January I focused on OnlineOrNot's public API, making it possible to see what OnlineOrNot saw when it detected a failing uptime check, as well as fixing bugs and cleaning up tech debt across all of OnlineOrNot (it's getting faster and faster to release updates).