Tabular Reports from Elastic Stack – New in Skedler Reports v4.4

We are excited to announce the release of Skedler Reports v4.4. As always, it’s packed with capabilities to help you meet compliance, audit, and snapshot reporting requirements.

Tabular PDF, Excel, CSV Reports from Kibana Data Table

If you are a security analyst or network admin looking for the list of unauthorized IP addresses connecting to your machines, Skedler can deliver the data to you in the form of PDF or Excel. With just a couple of clicks, schedule a PDF and/or Excel report that uses the Kibana data table as a source, sit back and have the reports delivered to your stakeholders automatically!

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Schedule Reports with Custom Time Ranges

If your customer needs a daily report that summarizes the top security events during the work hours of 9 AM – 5 PM, you can send it to them right away. Simply create a custom time range in Kibana and customize your dashboard to use this time range.  In Skedler, schedule a daily report with the dashboard as a data source and you’re all set!

Here is the list of additional features in the new release:

  • You can use the latest features in Elastic Stack 7.3 and Grafana 6.3 and generate reports with Skedler.
  • Users do not need administrator privileges to configure Grafana as a data source in Skedler.

Go Ahead and Try it Out

Test out the data table reports with custom time ranges in ELK 7.3 or Grafana 6.3 environment! Start now below by doing the following:

  1. Download Skedler Reports
  2. Follow the simple steps in our documentation and start generating reports.

Automated Kibana Reporting: A Marketer’s Guide

Skedler’s enhanced Kibana reporting solutions can do more than just enhance the way you manage information. It effectively transforms your Elasticsearch-Logstash-Kibana(ELK) platform into a business intelligence platform. Much of this is helped by Kibana’s dashboard, which applications such as Skedler improve on even further by incorporating actionable reporting, scheduling, and more. Marketing departments are particularly seeing the advantages of automating Kibana tasks through Skedler. They’re able to utilize ELK to gather intelligence, which is then easily exported as convenient, customer-friendly reports.

Two of our current case studies have demonstrated Kibana’s automated processes to be highly useful to their marketers.

Kane LPI, a third-party administration service specializing in investment and compliance, sought out Skedler to help them produce clear reports from thousands of lines of log entries from multiple systems. Kane LPI’s internal marketers needed to receive daily log reports in order to view daily analytics which could then be reviewed and sent to their clients. Skedler’s Kibana reporting solution produced clear scheduled reports from thousands of lines of log entries from multiple systems. This served as key monitoring tool while satisfying auditing requirements in the process.

Cybersecurity company Dynetics’ marketing department also benefitted from using the automated processes within Skedler. Their analysts simply didn’t have enough time to monitor all the dashboards within the NetAlert ELK stack application. However, after discovering Skedler, they saw that Skedler’s automated processes with Kibana allowed the department to quickly send security intelligence reports to customers. Without Skedler, this kind of process would have taken weeks to process manually, and their customers would have had to wait for answers.

Ready to start utilizing Skedler’s reporting solution for Kibana and engage with your customers? Try Skedler for free.

How to Use Skedler with Amazon’s Elastic Search Tools

As the majority of IT-savvy businesses synchronize with the cloud, capital infrastructure charges are becoming rapidly replaced with more lucrative options which optimize and scale company costs. Rather than IT planning for weeks on end, users are able to instantly discover thousands of servers within minutes for more rapid, effectual results. This starts with Amazon Elasticsearch Service: the cloud’s top trending tool for Elasticsearch-Logstash-Kibana applications.

Skedler

With Amazon Elasticsearch Service, you’re able to effortlessly scale log analytics, text searches and monitoring within a few minutes. It also allows you to exercise Elasticsearch’s APIs and real-time functionalities along with its scalability and security models by production workloads, including Kibana, Logstash, and AWS; enabling you to start to action your data insights effectively and quickly. Simply run the AWS Elasticsearch service, or run your own cluster using the AWS EC2.

Server or Cluster?

If you choose to run the server on AWS, there are a few clear advantages. Primarily, you won’t have to manually replace failed nodes, since you can add it to the cluster as you go. You can add and remove nodes through an API and manage access rights via IAM, which is far easier than setting up a reverse proxy, as well as receive daily insights into daily snapshots to S3, including CloudWatch monitoring for your Elasticsearch cluster.

On the other hand, if you choose to download and run, you’ll have more instance types and sizes available. In this case, you’d be able to use bigger i2 instances than AWS alone, allowing you to scale further and get more insights into logs and metrics. You’re also able to alter the index settings with more detail than just analysis and replicas, such as with delayed allocation, which often carries a lot of data per node. Additionally, you can modify more cluster-wide settings than in AWS alone, as well as gain access to all other APIs, which is particularly useful when debugging. And whilst Cloudwatch collects a reasonable amount of metrics, with EC2 you can utilize a more comprehensive Elasticsearch monitoring solution, with clusters of more than 20 nodes at a time.

Amazon Elasticsearch Service within Skedler

Regardless of which route you take, the ultimate challenge is learning how to add reporting for your ELK application within the Amazon Elasticsearch Service. In this instance, Skedler accounts for proven reporting solutions specifically with ELK applications, with many of our customers running ELK and Skedler together on AWS to account for both log and IOT analytics, as well as several other features. Skedler provides helpful deployment options to add reporting to your existing AWS ELK application, including Skedler as a service within EC2, or Skedler AWS Containers service; both of which support Amazon Simple Email Service (SES) for emailing reports reliably and economically.
Ready to try Amazon Elasticsearch Service with and through Skedler? Try it free.  After the free trial period, you can purchase Skedler license and instantly convert your evaluation environment into a production environment. 

Kibana Reporting in Action: A Kane LPI Case Study

Every company carries valuable data, whether it’s relevant to a specific client’s private information, statistics, or finances. Alongside the fear that you might lose precious data or incur a security breach with faulty programs, data needs to be filed and exported accurately in order to meet certain deadlines and practical standards; which is why Kibana reporting has proven to be an imperative tool for loss prevention within any given company.

The Company

Kane LPI Solutions is a prime example of how Kibana reporting achieved higher marketability within the cognoscente program Skedler. A trusted provider of Third Party Administration services for more than 15 years, Kane LPI has issued over US$11 billion of offshore annuity and investment products for an extensive global client base. They needed a robust solution to help prevent financial and reputation losses as well as boost KPIs. As it stood, competition was fierce — there were many much larger players out there on the field.

The Challenge

The company’s practical processes specifically involved sending sensitive and accurate post-trading files on a timely basis. Kane LPI’s clients had strict operational requirements for control and compliance: if the time window for sending files was missed, financial loss was borne both for them and the company. Delays like this could incur strict penalties by settlement and clearing corporations such as The Depository Trust and Clearing Corporation (DTCC). With so much at stake, our challenge was to fundamentally satisfy operational concerns to prevent those losses, as well as improve pragmatic business flow.

Kibana Reporting: A Means of Automation

Kibana reporting allowed Kane LPI to send out daily scheduled reports to both clients and internal users from thousands of lines of log entries within multiple systems, serving as a key monitoring tool and satisfying auditing requirements in the process. As a result, Skedler became a critical go-to ELK stack tool for this company and its clients, allowing Kane LPI to send out reports to their clients and internal users, which the company couldn’t do before.

Developers were able to receive automated error reports at the beginning of the day, allowing them to ensure information is sent to regulatory and settlement organizations to meet deadlines. Simultaneously, managers received daily and weekly reports on SLA performance and non-compliance, enabling them to take remedial steps to prevent recurrence and to protect time-sensitive transactions. Vendors also received daily and weekly reports on SLA performance and non-compliance of their product in KPI solution, which fundamentally reused the investment of energy and time in an ELK stack based solution.

As a precautionary measure, Skedler introduced a critical line of defence to errors by inaugurating manager and software vendors with automated reporting sent at the beginning of the day, which described potential errors during transfer of files, allowing future errors to be minimized. We then added another layer of security by administering any issues during batch runs from the previous 24 hours. 

Statistically, all of these enhancements enabled Kane LPI’s clients to avoid up to $5 million per month in trade and exchange losses, as well as protect their well-nurtured reputation as a high-quality provider.

Ready to start saving time by creating, scheduling and distributing Kibana reports automatically? Try Skedler for free.

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