Following the recent announcement of our partnership with Microsoft, Azure users can now monitor, troubleshoot, and secure their environments with a fully managed Azure-native ELK solution. However, If you want to set up the ELK Stack on Azure on your own this guide will help you get started.
Whether an active member of the ELK community or just a happy user, you’ve probably heard of a recent data breach involving Elasticsearch. Indeed, not a month goes by where we don’t come across an article or research showcasing a set of sensitive information exposed on an Elasticsearch cluster.
Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.
While Logz.io provides Kibana — the ELK Stack’s visualization tool — as part of its service, a lot of users have asked us to support Grafana. One of the leading open source visualization tools today, Grafana has some added value when compared to Kibana, especially around visualizing time-series data.
Each year we eagerly await the publication of the RightScale (now Flexera) State of the Cloud report to see which technologies and players are trending in the cloud ecosystem. In this year’s report (2019) one of the interesting takeaways is that in 2018 public cloud spending grew three times faster than private cloud and companies intend to spend almost 25% more on public cloud in 2019 than they did in 2018.
The European Union’s General Data Protection Regulation (GDPR) came into effect on May 25, 2018. Hailed as the most significant change in data privacy regulations in two decades, GDPR was the result of years of intense activity and discussions among legislators, consumer groups, the legal community, and data privacy specialists.
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).
Last month, AWS announced an initiative called Open Distro for Elasticsearch. Since then, there has been a lot of debate as to what this move means for the future of the ELK Stack and the community. What are the motives behind this move? Does this split actually signify a fork?
The pace in which new releases of the Elastic Stack are being rolled out is breathtaking. Just two weeks after Elastic Stack 6.7 was announced, versions 7.0 of Elasticsearch, Kibana, Logstash and Beats have been released full of new features and improvements.
When an organization is ready to deploy a new solution, or build a new system, there is often a continuing discussion about the relative merits of using the cloud versus deploying on-premises. While there are a number of aspects that play into this decision, it is not always clear which is the better solution for security and compliance. Typically, deployment issues are not clear because security and compliance solutions quickly change when you are using shared vs. dedicated environments.
