#loganalytics

In today’s rapidly evolving threat landscape, organizations need real-time visibility into their systems — and Splunk has become one of the most powerful platforms for cybersecurity analytics and threat detection.

Splunk enables security teams to collect, search, analyze, and visualize massive volumes of machine data and security logs in real time.

From detecting suspicious activities and identifying security breaches to monitoring infrastructure performance and supporting incident response, Splunk helps enterprises strengthen their cyber defense through intelligent log analytics.

By transforming raw security data into actionable insights, organizations can detect threats faster, reduce response time, and improve overall security operations.

In cybersecurity, visibility is power — and real-time analytics can make the difference between prevention and breach.

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Elasticsearch is a free open source search engine, which is used for log analytics, full-text search, application monitoring and more. It makes easy to deploy, operate and scale Elasticsearch clusters in the AWS Cloud. We can get direct access to the Elasticsearch APIs. It provides Scalability, Availability and Security for the workload process run.

Elasticsearch architecture

The AWS Elasticsearch Service Architecture is very dynamically to allow create instances, remove instances, change instance sizes, change storage configuration and customize to make other changes. This Elasticsearch allows to search and analyse the data log. It consists of three components.

Logstash – is used to collect and transferred to the Elasticsearch.

Elasticsearch –facilitates search and analyze with the logs stored in it. It acts as a database.

Kibana –Kibana enables the data visualization on the dashboard that uses ELK stack. This tool provides a quick insight of the documents using visualization Kibana’s dashboard contains interactive diagrams, geospatial data, and graphs to visualize complex queries that let you search, view, or interact with the stored data. Kibana helps you to perform advanced data analysis and visualize your data in a variety of tables, charts, and maps.

Get started with an Elastic Cluster with AWS

First, create an AWS account and follow the following steps to claim your domain.

Tap on to “Create a new domain”

Select on the appropriated Deployment type and select the Elasticsearch version. Click Next.

Enter a domain name and choose the Instance type in the prompt page and Click Next.

Follow to enter the “Dedicated master instances”

Click Next.

After the Cluster Configuration, you will be taken to the Set up access part. In the Setup access part, enable the specific set of users who can access your ElasticSearch cluster. There are two options — VPC access and Public access. Once you select one of the options and confirm your entries your new cluster is created.

Things to consider

1. Expandable

Amazon Elasticsearch Service provides to monitor your cluster through Amazon CloudWatch metrics.

We can change the cluster in various size from top or bottom within single clicks in the AWS management console or via a single API call.

There is a customizable setting available based on the range of instance types and storage options including SSD-powered EBS volumes.

2.Integrations

Many integrations available in the AWS Elasticsearch such as Kibana for data visualization, Amazon CloudTrail is used to audit API calls configure in AWS ES domains and integrate with Amazon Amazon S3, Amazon Kinesis, and Amazon DynamoDB for loading streaming data into Amazon ES.

3.Guarantee

It guarantees to provide a secure environment and easy integration with Amazon VPC and VPC security groups. There is an availability to access the Identity and Access Management (IAM) control. It provides authentication for Kibana and Data encryption with node-to-node encryption.

4.Availability

Amazon ES supports the different zones in two geographical locations and various node allocations with a large number of zones in the same region itself. It manages the cluster and notifies the damaged nodes automatically.

Conclusion

Elasticsearch is a distributed, open-source search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Elasticsearch is fast, distributed by nature. Here you can find steps to install elasticsearch.

5 years ago, when I finished my Army service at the IDF 8200 intelligence unit, it was clear to me that my future is in the world of intelligence and cyber. It was only natural for me to start my first job at a successful Homeland security firm.

Although my service prepared me quite well to this market, it was only when I was working for a global firm that I was introduced to the 3 ground rules for success in the world of Intelligence and Cyber:

1) Recognize the routine and identify abnormal behavior

2) Provide real-time insights

3) Give the user the data he needs in order to take action

In the world of DevOps and continuous delivery, log management and Analytic tools are quickly emerging as a crucial component for an effective strategy towards improved maintenance procedures and support of complex cloud infrastructures.

Just to provide a scale; the software maintenance market is estimated at around $140B annually, among which, $3B are invested annually in log management alone, with an amazing predicted growth rate of 12% a year for the next 5 years.