Reading Time: 3 minutes Hello Readers! We are again back with a new interesting topic related to kibana. In this blog, we will see how to join two indices in kibana. As we all know Kibana is an open-source data visualization and exploration tool developed by Elastic. It is part of the Elastic Stack, which also includes Elasticsearch and Logstash. Kibana is design to work with Elasticsearch and allows Continue Reading
Reading Time: 6 minutes Hello Readers!! In this blog, we will see how we can send GitHub commits and PR logs to Elasticsearch using a custom script. Here we will use a bash script that will send GitHub logs to elasticsearch. It will create an index in elasticsearch and push there the logs. After sending logs to elasticsearch we can visualize the following github events in kibana:- 1. GitHub Continue Reading
Reading Time: 3 minutes Hello Readers! In this blog, we are going to see how we can analyze Jenkins build logs using the ELK stack. As Jenkins is known for its automation and we have a number of its builds logs. Here analysis of Jenkins build logs plays a huge role. So, I will explain and show you how we can monitor and analyze Jenkins build logs in our Continue Reading
Reading Time: 4 minutes This Article will guide you to Monitor Elastic Search using Prometheus and Grafana in Kubernetes. Before Going deep in this topic, First of all let’s understand what are these. Elastic Search: Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Here i believe you have knowledge of setting up elastic search Continue Reading
Reading Time: 3 minutes Introduction Elasticsearch is a distributed, open-source full-text search and analytics engine and comprises schema-free JSON documents. It is built based on the Apache Lucene library. It is an important part of the ELK stack. Data can be stored, searched, and analyzed in near real-time. Results can be retrieved in milliseconds. Documents are used to store data instead of tables. It also comes with a rich Continue Reading
Reading Time: 5 minutes Elasticsearch (ES) is a search and analytics engine which is based on Apache Lucene. It is open source and developed in Java. Elasticsearch allows you to store, search, and analyze huge volumes of data quickly and in near real-time. It’s able to achieve fast search responses because instead of searching the text directly, it searches an index. It uses a structure based on documents instead Continue Reading
Reading Time: 2 minutes In this blog, I am going to discuss about Elasticsearch. What are the benefits of using it as a database and How to use it. Elasticsearch Elasticsearch is a highly scalable open-source full-text search and analytics engine. It allows you to store, search, and analyse big volumes of data quickly and in near real time. Elasticsearch provides near real-time search and analytics for all types Continue Reading
Reading Time: 3 minutes Hello guys, in this article, we will be looking how to deploy Elasticsearch cluster on Kubernetes on a cluster setup on Google Kubernetes Engine. We will be following these steps given below to successfully deploy Elasticsearch on Kubernetes:1. Setup Persistant Volume via Storage Classes2. Enable node discovery for Elasticsearch through Headless Service3. Deploy Elasticsearch cluster using StatefulSet Prerequisites Cluster setup on Google Kubernetes Engine with Continue Reading
Reading Time: 5 minutes Big Data has now evolved into a buzz word and it seems everyone is either working on it or want to work on it. However, most of the people associate Big Data with some of the popular tool sets like Hadoop, Spark, NoSql databases like Hive, Cassandra , HBase etc. HDFS made Big Data popular as it gave us an option to distribute the data Continue Reading
Reading Time: < 1 minute Hi all, Knoldus has organized a 30 min session on 1st March 2019 at 3:30 PM. The topic was Alpakka – Connecting Kafka and ElasticSearch to Akka Streams. Many people have joined and enjoyed the session. I am going to share the slides here. Please let me know if you have any question related to linked slides or video. The slides of the KnolX are here: And Continue Reading
Reading Time: 2 minutes In our previous post Introduction To ElasticSearch, we talked about the basic terminology of elastic search and basic requests to create or delete an index, check the health status of the cluster, indices etc. In this post, we are going to talk about creating a basic CRUD application using DSL. Without waiting let’s get started. To create an application, first, create an SBT Project, add Continue Reading
Reading Time: 3 minutes Hey Folks, Today, we are going to explore about basics of ElasticSearch. From the documentation, its definition is: Elasticsearch is a highly scalable open-source full-text search and analytics engine. It allows you to store, search, and analyze big volumes of data quickly and in near real time. It is a real-time distributed search and analytics engine based on top of Apache Lucene. It is Continue Reading
Reading Time: 4 minutes In our previous blog, we had a look at what Akka streams are and how they are different from the other streaming mechanisms we have. In this blog, we will be taking a little step forward into the world of Akka Streams. In order to work with Akka streams, we need a mechanism to connect Akka Streams to the existing system components. That is where Alpakka Continue Reading
