I think that a lot of people immediately associate the word “time series” with “forecasting”. After all, who doesn’t want to be able to predict the future? While we can’t do that quite yet, we can produce forecasts with confidence intervals. In this tutorial, we’ll learn how to make a univariate time series prediction with Prophet and InfluxDB.
Elasticsearch cross-cluster replication (CCR) was released as a beta feature in Elasticsearch 6.5, and as a Generally Available (GA) feature in Elasticsearch 6.7. CCR allows multiple indices to be replicated to one or more Elasticsearch clusters. Replicating indices to additional Elasticsearch clusters solves several use cases, including high availability (HA) across datacenters, disaster recovery (DR), and CDN-like architectures to co-locate data closer to application servers (and users).
Hey there, While the World Economic Forum (WEF) in Davos always dominates the news agenda across a variety of topics I wondered what discussions around technology occurred this year, particularly from a cybersecurity perspective. During my reading, I came across the global risks report 2020 published by WEF and thought sharing some of the key points would help you in case you have to argue about the importance of cybersecurity.
AWS S3 Server Access logs provide detailed records for requests made to S3 buckets. They’re useful for many applications. For example, access log information can be useful in security and access audits. It can also help generate customer insights and better understand your Amazon S3 bill. Coralogix makes it easy to integrate with your S3 server access logs via a Lambda function.
Geolocation can be automatically built into the Graylog platform by using the "GeoIP Resolver" plugin with a MaxMind database. However, you can further improve your ability to extract meaningful and useful data by leveraging the functionality of pipelines and lookup tables. In fact, these powerful features allow you to do much more than the basic plugin.
When making investments in our tech stack, we tend to have doubts about companies that don’t use their own products and services. At Elastic, we deploy the full suite of our technology across the enterprise. We do so because our technology not only works, but it makes us more efficient and flexible on so many levels. And it can do the same for you and your business, too.
Measuring the maturity of your DevOps team might sound difficult, but it isn’t at all. Simple key performance indicators (KPIs), such as the deployment success rate or mean time between failure, give a good indication of the maturity of your DevOps team. By “mature,” I mean that your team consistently and smoothly operates at a high level and can deploy several times a day with very little risk.
The Deep Learning Toolkit (DLTK) was launched at .conf19 with the intention of helping customers leverage additional Deep Learning frameworks as part of their machine learning workflows. The app ships with four separate containers: Tensorflow 2.0 - CPU, Tensorflow 2.0 GPU, Pytorch and SpaCy. All of the containers provide a base install of Jupyter Lab & Tensorboard to help customers develop and create neural nets or custom algorithms.
Workload management is a powerful Splunk Enterprise feature that allows you to assign system resources to Splunk workloads based on business priorities. In this blog, I will describe four best practices for using workload management. If you want to refresh your knowledge about this feature or use cases that it solves, please read through our recent series of workload management blogs — part 1, part 2, and part 3.
