Your log analysis solution works through millions of lines of logs, which makes implementing a machine learning solution essential. Organizations are turning to machine learning log alerts as a replacement or enhancement of their traditional threshold alerts. As service uptime becomes a key differentiator, threshold alerts are only as good as your ability to foresee an issue.
The first time I created a cloud compute instance, then still called a “Cloud VM”, was an almost transcendent moment. It was like magic. I was at my first organization which had adopted the cloud, in my first DevOps position, and I immediately knew that the world had changed.
Before we dive into the gap in cloud network security, let’s take a step back. If you’ve been in Operations for a while, you might remember how it used to be. “Network” was a team. When you needed to open a port on the network, you had to provide an exhaustive definition of the change, explaining what port you needed, what external addresses should be able to reach it, and where it should be routed to internally.
If you’ve been following the blog updates on the development of Cortex – the long-term distributed storage for Prometheus – you surely noticed the recent release of Cortex 1.4, which focuses on making support for “blocks engine” production-ready. Marco Pracucci has already written about the blocks support in Cortex, how it reduces operational complexity for running Prometheus at massive scale, and why Grafana Labs has invested in all of that work.
Trend Micro Cloud One is a strong enterprise data security solution for data centers and cloud environments. Trend Micro’s advantages, like most other security tools, lie in its pairing with other security resources. That’s where Logz.io comes in. It brings together disparate data that Trend Micro tracks to create fully summarized dashboards and extremely detailed ones with specific focuses.
We software engineers like to think ourselves unflappable. Consider that we spend most of our days staring at glowing pages of eldritch horror that no mortal was meant to witness. We whisper and type our otherworldly incantations, all the while feeling the hungry gaze of a lurking cross-site scripting bug, or a shadowy use-after-free, or an accidental summoning of ZALGO. (H̨e̛ ̕c͢om͢es, you know.)
If our end users end up too long for a query to return results due to Elasticsearch query performance issues, it can often lead to frustration. Slow queries can affect the search performance of an ecommerce site or a Business Intelligence dashboard – either way, this could lead to negative business consequences. So it’s important to know how to monitor the speed of search queries, diagnose and debug to improve search performance.
Migrations carry a setup cost and engineers don’t work for free. Even under the most ideal conditions, it’s possible moving data between web monitoring providers will result in some missing feature or differing functionality. That’s just life. If you’re facing a migration you sometimes have to make do with the cards you’re dealt. But it’s not all doom and gloom! We hope this checklist will help you play like you’ve got pocket aces.
HAProxy provides an easy and straightforward way to add HTTPS to your website. As a load balancer positioned in front of your web servers, it can handle all of the encryption and decryption duties, offloading those tasks from your upstream servers. That’s good because in today’s age of privacy awareness, the consensus is that every website must implement HTTPS, regardless of whether sensitive or private information is being exchanged.
A lot of engineers think a project is done once the code is live. In a perfect world, that could be true—alas, commits are rarely free of problems. For companies that have a lot of focus on dev but little on ops, this can quickly turn into a nightmare. Fortunately, there are a lot of infrastructure monitoring tools out there that can help marry DevOps and keep your apps, websites, and processes running smoothly.
