Atlassian to Announce Jira Ops

New solution is positioned as IT operations and management
05 September 2018   218

Atlassian announced the imminent release of the Jira Ops platform for monitoring problems in IT systems. The built-in tools will help to cope with them and prevent repetition. In addition, the company announced the purchase of the OpsGenie service, which is also supported in Jira Ops.

Atlassian called the platform a unified command center to coordinate the work of the IT team in case of serious incidents. The company has cited as an example a list of actions that require constant access to different tools:

  • Referring to an instrument like OpsGenie to get more information from those who witnessed the incident.
  • Slack-chat in real-time to identify the problem and find a solution.
  • Informing customers about the incident through the Atlassian Statuspage.
  • Processing the flow of client requests using Jira Service Desk.
  • An appeal to Confluence and Jira Software to describe the problem after the fact and to monitor the execution of tasks related to the prevention of such incidents.

The Jira Ops platform provides access to all tools in one place. It collects information from "emergency" services - PagerDuty, xMatters, Slack, OpsGenie - and supports existing company products: Confluence, Jira Service Desk, Jira Software and Statuspage.

JiraOps Slack
JiraOps Slack

So, team members, having received an alert about the incident, can create tickets directly from the platform to collect more data about it. And if the information comes from Slack, the corresponding channel will receive a zapping message with a link to the ticket.

Soon, testing of the EAR version of the Jira Ops service will begin, and a full-fledged launch is scheduled for 2019.

Google to Release Cloud Inference API

Cloud Inference API can be used for real time big data analysis 
20 September 2018   91

Google introduced an alpha version of the service for time series analysis. It processes information about events at the time - clicks, requests, activations of IoT devices, and so on. The Cloud Inference API analyzes these data in real time, finds correlations and makes predictions based on it.

Cloud Inference API
Cloud Inference API 

Service features:

  • A simple tree-like query language that allows you to specify your own time markers.
  • Online processing of incoming data with minimal delay. Therefore, Google recommends using the API in interactive user applications.
  • Ability to process data arrays of different volumes (up to trillions of records) and work under high load (up to hundreds of thousands of requests per second).
  • Full integration with Google Cloud Storage, which provides access to the same data in different services of the platform.
  • More information about the work of the tool can be found in the documentation.

Google noted that the service will be useful for a wide range of industries. Retailers can analyze the impact of pedestrian traffic on the level of sales conversion, content providers - the popularity of materials to provide better personal recommendations.

Now the Cloud Inference API is already being used by Snap to analyze the data received through the Snapchat application.

Google Cloud is developing a number of cloud services. At the end of August 2018, the company updated the tools for converting speech to text and vice versa. Cloud Text-to-Speech received support for several new languages ​​and voices, and Cloud Speech-to-Text - recognition of several speakers, language and the ability to highlight important words