Klera makes people 10X faster in deriving intelligence from all their ALM and DevOps tools. Klera enables enterprises to access data, compute insights and write-back to all connected tools in an easy, agile and automated way.
Challenges Faced by Enterprises Traditionally:
- To get data-driven visibility, enterprises work with multiple disparate tools that operate in silos.
- Data is highly distributed and is hard to correlate.
- Getting insights is inefficient, error-prone and expensive.
How Klera is helping enterprises globally:
Access Data from any Tool or Database within Minutes: Instantly connect with any tool bi-directionally, using REST, OData, SOAP or Database connectors such as JDBC.
Automatic Discovery and Delivery of Insights: Seamlessly navigate across multiple tools to get insights. Library of pre-built templates, alerts and triggers, scheduled reports can automate the discovery and delivery of insights.
Take Immediate Actions across Tools: Bi-directional connectivity to tools enable users to take actions based on insights from Klera’s interface. The write-back capability can be used to sync data across tools, create a data warehouse and write to tools etc.
Klera 'connects the dots' across multiple tools seamlessly and brings end-to-end data-driven visibility for effective decision making.
The following figure shows Klera Architecture Overview.
How Klera Works
Klera can fetch data from the connected tools, as per the roles and privileges defined for the user in those tools.
Once data is fetched to Klera, you can derive further insights by creating visualizations, applying formulas, filtering data, performing analytics such as machine learning, clustering, sentiment analysis etc.
Klera lets you connect to multiple tools from the same session. You can fetch data from one tool and use it as a parameter to bring data from another tool, e.g. Jira Issue Keys, can be used for searching and fetching all the files in your code repository, where these keys are mentioned in the comments. This is a powerful capability to navigate from one tool to another. Klera calls it exploration across tools.
This analysis and data fetching operations across tools are saved as an Exploration. You can share an Exploration with other Klera users. Explorations can be scheduled to refresh at a defined frequency and deliver Emails with PDF report and shared URL (called published URL) of the Exploration. Klera can raise an alert when a predefined threshold is breached on Exploration's execution. Email can be sent, or another Exploration can be run on these alerts.