The OpsRamp State of AIOps report confirms AIOps adoption, use cases and more. Artificial intelligence for IT operations, or AIOps, is still in its infancy. It’s only been a few years since Gartner coined the term, and yet, 30% of IT teams in large enterprises will roll out AIOps initiatives by 2023. Of course, like any new enterprise technology, the jury on measurable AIOps outcomes is still out.
We’re on the verge of something here, people. A growing number of companies are shipping software in minutes. Yeah, you read that right. Minutes. Not hours, not weeks, months, or longer. Minutes. Often, teams struggle to ship software into the customer’s hands due to lack of consistency and excessive manual labor. Continuous integration (CI) and continuous delivery (CD) deliver software to a production environment with speed, safety, and reliability.
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.
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.
I spoke at Container World 2019 in Santa Clara and shared insights on what LogDNA has learned in scaling Elastic Search using Kubernetes over the years. Here are some highlights from the talk and you can also find the slide deck below.
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.
