Successful DevOps implementation is critical for enhancing the efficiency, reliability, and quality of software development and delivery. To evaluate the effectiveness of DevOps practices, various metrics can be used. Below is a detailed overview of key metrics.

Lately, I have been thinking about the mental health effects that stem from working in the cybersecurity industry. And in my research, I came across an Afternoon Cyber Tea podcast that sparked my interest. During their talk, host Ann Johnson and Dr. Ryan Louie, MD, PhD, dissect parallels between those who work in cybersecurity and those who work in healthcare, and uncover how these types of jobs affect mental health.

Since the landmark rollout of Chat GPT by Open AI in fall of 2022, SEO professionals have been doing their best to make sense of the future of search. The content generating capabilities of AI-powered engines offered a variety of immediate questions for SEO pros: The questions only multiplied when Google rolled out the news that generative AI search results would become a normal part of search in spring of 2024.

I’ve already dropped a hint at this topic in a previous post of mine which reflected the history of Icinga on Windows: And this time I’m going to prove this concept, since both required components have been released by now: Icinga 2.14 and IfW 1.11. Precisely speaking, an existing Icinga master will run checks remotely on Windows, directly via the IfW REST API – without an intermediate agent.

DevOps is crucial for growing organizations, enhancing collaboration between development and operations teams to expedite deployment cycles and improve overall efficiency. Selecting the right DevOps engineer for your team, especially when new to DevOps, is vital. A poor hiring decision can significantly impact your organization, resulting in higher costs, inefficiencies, and missed opportunities.

As digital intensity rises in Australian SMEs, technology teams face significant challenges. The complexity of expanding technology architectures, the proliferation of applications, and reliance on diverse cloud environments exponentially increases the demand for IT support and operations.

Whether it’s 3 in the morning and you’re trying to resolve an outage, or you’re testing a new feature and you need to resolve a recurring issue so you can move on to your next task: time is of the essence. Wouldn’t it be great if your observability tooling could direct you to your “aha” moment, without you needing to fumble with writing a query?

Loki, a log aggregation system from Grafana, uses LogQL (Loki Query Language) to query logs. Whether you're just starting or need a quick reference, this cheat sheet covers the essentials. Let's dive into the syntax and functions of LogQL to make your log querying efficient and effective.

Before the development of AWS cost estimation tools, users faced challenges in predicting cloud costs due to complex pricing structures and multiple service configurations. This often led to surprise charges and made budgeting and optimizing cloud costs difficult. To address these issues, AWS introduced its own cost estimation tools. These include the Cost Explorer, the Pricing Calculator, AWS Budgets, AWS CloudWatch, AWS Trusted Advisor, and the AWS Cost and Usage Report.

Erik Peterson, our CTO and Founder here at CloudZero, recently hosted a webinar-style interview with Matthew “MJ” Jackson, DevOps Lead at Drift. This interview took a deep dive into the methods Drift used to take control of their cloud spending. If you own, manage, or otherwise have any stake in a SaaS company that heavily utilizes the cloud, you’ll want to read on to see the highlights of this conversation.