How many recipes do you have in your cookbook? This isn’t off topic, for today I’ll be exploring the ins and outs of Chef logging to help you maintain the state of your kitchen. (Last of the bad puns.) For those unfamiliar, Chef is a configuration management and platform automation tool that sits in the same space as Puppet (which we wrote about previously).
About a year ago, I wrote a small python script to automate installing and bootstrapping CFEngine on virtual machines in AWS. It had some hard coded IP addresses that I needed to update when I spawned new hosts, but other than that, it worked well. During manual testing, it saved me a lot of time instead of having to do things manually.
2019 has been a fun year for Sentry, and we’re only a third of the way through it. In four short months, we released a feature set focused on visibility as well as the new Sentry Integration Platform. In between the big stuff, we shipped the following changelog from the past month. Enjoy.
AWS Beanstalk allows you to spin up entire environments (EC2 instances, ELBs, etc.) to support an application without you having to configure the resources manually. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor Beanstalk and what is important to watch.
Synthetic Monitoring is referred to as an approach of testing a web service or a website by simulating the website visitors’ requests across various geographies in order to test its availability and performance. One can compare performance stats of different geographies and formulate performance improvement plans. Synthetic monitoring lets you find problems before your customers do leading to shorter MTTR.
In order to carry out a demonstration of our smart tool: the Bleemeo agent at the 8th Devoxx France conference planned for the 17th of April, Bleemeo team decided to use the Kubernetes infrastructure and specially the lightweight version of Kubernetes: k3s. We choose to run k3s on a cluster of 3 Raspberry Pi nodes composed of 1 master node and 2 slaves nodes.
At Mattermost, we built an intuitive workplace messaging platform that all kinds of teams can use productively right away, regardless of technical prowess. That said, we understand that learning new platforms isn’t always the easiest thing in the world. Some Mattermost users will have longer learning curves than others, and that’s perfectly okay. We all march at different speeds.
Are you the type of person who wonders why things happen? When you were a child, did you look into the clouds when it rained and wonder what was the mechanism behind it? This is an intelligent attitude. We cannot go through life relying only on chance and our intuitions; sometimes it is convenient to ask ourselves about things before doing them, especially when it comes to making some important decisions.
PHP logs are not just about errors. You can use logs to track the performance of API calls and function calls, or to count the occurrence of significant events in your applications (e.g., logins, signups, and downloads). Whether you’re operating a microservices architecture or a monolith, implementing a comprehensive PHP logging strategy will allow you to track critical changes in your applications and optimize their performance.
Software Reviews, a division of Info-Tech Research Group, has named Log360 a Champion in its recent Customer Experience Report. Out of eleven software vendors evaluated in the SIEM space, Log360 emerged as a 2019 gold medalist.
