Operations | Monitoring | ITSM | DevOps | Cloud

With the growing utilization of AI, modern business applications rely more and more on machine learning (ML) models. But the complexity of these models poses significant challenges to data scientists, engineers, and MLOps teams seeking to maintain and optimize performance.

GitLab is a DevSecOps platform that helps engineering teams automate software delivery. Using GitLab, teams can easily collaborate on projects and quickly deliver application code with robust CI/CD, security, and testing features. Datadog’s GitLab integration enables you to monitor your GitLab instances alongside the rest of your infrastructure by collecting GitLab metrics, logs, and service checks.

A fairly common claim among website uptime monitoring services is that downtime costs $5600 per minute. Chances are, you'll have one of two reactions to this claim: The reality of what downtime costs your business lies somewhere in between. As a company that runs 3.6 million uptime checks per week, we have a bit of insight into the cost of downtime, so if you're curious - read on.

Any web-based business must have effective log monitoring in place to guarantee the efficient operation of its applications and systems. Tools for log monitoring are essential for error detection, performance analysis, and problem-solving. The top five log monitoring tools will be examined in this post, along with their features, prices, advantages, and disadvantages.

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.

Today I will speak about another Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): Specifying JSON Schema elements nullable.

IT, DevOps, and security teams are figuring out the best ways to manage their complex, ever-growing, ever-changing environments. And one contributing factor to all the complexity is the rise of using multiple cloud services. One cloud service to manage is difficult enough, but adding more to the mix — each with its own interface and set of tools — makes everyone’s job significantly more difficult.