Scaling Elasticsearch by Cleaning the Cluster State
We often get questions like: And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that.
We often get questions like: And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that.
OK, so you’ve decided to move from Elasticsearch to OpenSearch. Maybe our comparison helped you decide and maybe you’ve checked our guide on how to perform the migration. But how do you know if your new OpenSearch performs as well and functions as correctly as the existing Elasticsearch? Even when comparing old with new versions, upgrades don’t always translate into better performance.
New Relic is a huge name in the website observability and analytics industry. They’ve carved out a space for themselves in a highly competitive monitoring space, and have garnered thousands of users and hundreds of millions in revenue. New Relic is known for its Infrastructure Monitoring capabilities, but it also has a number of other tools that are just as popular. But, New Relic is not so popular with everyone.
If you’re thinking of running OpenSearch on Kubernetes, you have to check out the OpenSearch Kubernetes Operator. It’s by far the easiest way to get going, you can configure pretty much everything and it has nice functionality, such as rolling upgrades and draining nodes before shutting them down. Let’s get going 🙂
DevOps is a practice that combines software development and IT operations to improve the speed, quality, and efficiency of software delivery. By breaking down traditional silos between development and operations teams and promoting a culture of continuous improvement, DevOps helps organizations achieve their goals and remain competitive in today’s fast-paced digital landscape. To better understand how we asked engineers what key DevOps benefits they noticed since working with this approach.
In the website monitoring and observability space, there are few names that hold as much weight as Splunk. Established in 2003, Splunk is highly focused on log data visualization and analysis but offers a wide range of tools to help you monitor your applications. All of that being said, just because it’s been around a while doesn’t mean that it’s right for everyone.
Maintaining a smooth operation of your web application is crucial for the success of your business. When customers encounter performance issues while using your application, it will likely affect your business reliability and customer satisfaction. This can lead to churn rate increase which will cause a loss of revenue. As a Site Reliability Engineer (SRE) or DevOps professional, you would want to keep your product reliable for end users.
Extracting numerical values from public or private JSON API responses can help you track and analyze data, easily spot trends, and alert on data that is important to your business. If you can passively have this information periodically come to you and if you can receive alert notifications when certain conditions are met, you can avoid checking each metric manually and – obviously – save a ton of time. Synthetic monitoring tools let you do these things automatically.