Today at Amazon Web Services (AWS) re:Invent we announced some new applications and integrations with popular AWS services, including the newly-released AWS Security Hub, AWS WAF and AWS Aurora for MySQL and PostgresSQL.
Website performance is a burning issue that matters to any IT professional who is responsible for the company’s website. Access logs performance analysis is used for analyzing all access logs for website performance: slow page load time, most frequent web pages and their errors, large web pages issues and more.
With an Access logs viewer, you can search and filter for specific messages, analyze them and improve your website performance and users experience.
We’re excited to announce the release of the Field Stats API plugin for Elasticsearch. The Field Stats API used to be present from Elasticsearch 1.6 to 5.6, to provide efficient statistics for fields of each index. For example, the minimum and maximum values of a date field.
Let’s face it, Kibana and Grafana were naturally meant to go together, right? They’re both great individually, but sparks really start to fly when they work together! Each has their own strengths but combined they cover all the monitoring and troubleshooting use cases you need. So what is keeping these two highly compatible technologies apart? Nothing. Anymore.
In the digital era, we need to track and record all of our data at all times. From a user logging into the dashboard to database queries, JavaScript errors, and website traffic, everything that matters is recorded in a log. You name it, and with due probability, you already have time-stamped documentation of all the events saved somewhere in the form of a log.
Every year, we take time out of our everyday activities to join thousands of techies just like us for the biggest event of the season–AWS re:Invent. For one week at the end of November, industry leaders gather in Las Vegas to learn about new technologies from AWS as well as other partners in the cloud, DevOps, and IT spaces. The new technology, innovative ideas, and smart, ambitious people we have met over the past few years have been priceless for all of us at Logz.io.
One of the major developments in software design and delivery over the last few years has been a movement away from monolith applications towards microservices. One of the sticking points I’ve seen on numerous microservice applications is logging. There are some unique challenges with microservice logging that need to be addressed. In this article, we’ll look at how we can make logging in a microservice as painless as in a monolith.
With so many choices available to us today, choosing log management software that’s just right for us has never been simpler. That is, if you know exactly what it is you are looking for. But for many users, the sheer amount of computer programs that perform the same tasks, and seem so similar(sometimes almost identical) to each other, can quickly become off-putting and confusing.
