I recently had a conversation with an IT business owner who told me he felt burned out. While his business experienced steady growth over the past 12 months—and he was pleased with the positive impact on his bottom line—he felt like he’d achieved this success at the expense of his health. I knew how he felt. I’d been there too. Chances are, like a lot of people in our industry, you’ve been there too.

If you’re handling sensitive information, dealing with data loss can be more than just a headache. Log management tools such as Graylog can enhance your incident response and management strategies, and help you mitigate the damage when a breach occurs in your database. Minimizing data loss with a fast and scalable logging solution is key if you want to bring your cybersecurity to the next level.

“What is MTTF?” That’s the question we’ll answer with today’s post. Yep, the article’s title makes it evident that the acronym stands for “mean time to failure.” But that, on its own, doesn’t say anything. What does “mean time to failure” actually mean? Why should you care? That’s what today’s post covers in detail.

Joe Elliott, a backend engineer at Grafana Labs, took the stage in front of a packed house at KubeCon + CloudNativeCon in San Diego to demonstrate a few of the tricks he uses to debug applications live in Kubernetes. The goal is to increase your knowledge of applications in the production environment. Elliott’s techniques are framework agnostic and Linux-specific, and they are most useful in situations where you have a known type of problem and application.

Cyberattacks are never going away; in fact, things appear to be getting worse. The complexity of attacks has escalated, resulting in more sophisticated, targeted takedowns. Just look at the attacks in Baltimore, Atlanta, Florida, and Spain within the past few years. Organizations around the world have had their operations halted by ransomware, with some taking weeks to get back to normal.

As container adoption in AWS takes off, ECR scanning is the first step towards delivering continuous security and compliance. You need to ensure you are scanning your images pulled from AWS ECR for both vulnerabilities and misconfigurations so that you don’t push applications running on AWS that are exploitable.

Cloud teams are increasingly adopting AWS container services to deliver applications faster at scale. Along with the roll out of cloud native architectures with containers and orchestration, what’s needed to stay on top of the security, performance and health of applications and infrastructure has shifted. At Sysdig, we’ve worked with Amazon to provide tools and integrations that help secure your Cloud Native workloads deployed across all AWS container services.

In our previous blog post, we discussed the three core capabilities that constituted AIOps solutions: data ingestion and handling, machine learning analytics, and remediation. With an exponential increase in the amount of data generated by all these devices and siloed tool sets, the job of IT Ops can only get more challenging.

Netdata is made up from agile teams who are deeply committed to improving the usability of our product. We want to respond to our users and introduce in-demand features. Working directly with our community is the best way to make Netdata better. But we face the same the dilemma as all agile teams: How do we do this safely?