Release Notes 4.1.14.1

Safe Harbor Statement

It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Cavisson Systems’ products remains at the sole discretion of Cavisson Systems.

Acronym List

Below is the list of acronyms used in this document.

File Size Specifications

Below is the list of file sizes for each component required for installation in this release.

New and Enhanced Features in 4.1.14.1

NetStorm

Support for Protocol Buffer

NetStorm supports Protocol buffers, which are Google’s language-neutral, platform-neutral, extensible mechanism for serializing structured data. It consists of two C-APIs:

1. First API encodes the proto file and provides result in protobuf encoded format (binary).
2. Second API decodes the response in normal text format.

In addition, protobuf (which provides some third party libraries to support Protocol buffers in NetStorm) is upgraded to version 3.0.0.

NetCloud

Display of Failed TestRun Numbers on Controller

Whenever a generator fails due to any reason, the generator name along with the Test Run (TR) number is displayed in the error dialog box of controller on the ‘Test Initialization Status’ window.

Change in Default Value for Disk Space

The default value for disk space in ‘Check Generator Health’ settings is changed to 50 GB.

Display of Generator’s Progress

The ‘Generator’ tab on the ‘Test Initialization Status’ window displays the details of all the stages (which run in background before navigating to web dashboard) for all the generators.

NetDiagnostics

Percentile Metric for Business Transaction (BT) Response Time

Percentile metric for BT and IP response time lets user configure and analyze response times (based on the percentile values). For example, the user can analyze 80^th Percentile of response time for ‘AddToBag’ Business Transaction. User may configure alerts on these metrics such as ‘Generate alert when 99^th percentile for a BT is above threshold of 10 seconds for last 15 minutes’.

Integration Points with Message Type

Support for Advanced custom callout is provided where ‘AdvCustomCallout’ is the custom callout, which is used to generate a dynamic back-end name. Generation of this name is  based on the Method argument values provided or its return type.

Support for Latest Mongo Database (DB) Library Version

Support for Mongo DB library version 3.7.x and later is provided for some Integration Point Stats.

NetForest

Enhancement: Self-Health Monitoring Automated Report

It enables a user to save system related information, such as Disk info, CPU info, Heap memory stats in NFDB.

Implementation of Time Span in Stats

It enables a user to calculate the statistics as per the specified time duration mentioned in the query.

Individual Request for Each Panel of Dashboard

With this feature, panel-wise (chart) request is sent to NFDB. It means each chart sends individual request to NFDB. It is configurable from the UI from Settings > Advanced Settings > panelSearch > Select value single / multiple.

Grouping in Pie Chart

A user can group the same type of data in pie chart if aggregation is applied.

Syntax

*|VIS count() by splitchart(<fieldname>[parameters like: size,orderby etc]),<fieldname>[parameters like: size,orderby etc]

Example

*|VIS count() by splitchart(log_message.reqLen[size=7]),log_message.reqPath[size=5]

Dashboard

Pattern Match Triggered as Alert Action

This is the subset of chart configuration, which is displayed in Advance section of alert mail. A user can specify a catalogue, which contains the graphs information on which the user can apply the pattern match. To apply pattern match, the user needs one baseline with which the user can compare all the graphs available in catalogue. To get the baseline graph (for which alert is generated), the user needs some criteria and it should have the minimum or maximum value across all the indices of one condition for which the alert is generated. Once the baseline is selected, the user can compare each sample of both the graphs (baseline as well as the catalogue graphs) and filter all the graphs, which satisfy the threshold value given in the action. After that, the user can send all the resultant graphs in mail body along with all the alert information.

Source Appliance IP in SNMP Trap Field

Now, in SNMPTrap, IDCName field holds the following:

1. IDCName_SourceIP(Appliance IP) if IDCname is already configured.
2. Source_IP if IDCname is not configured.

Enhancement: Active Alert Values

The ‘Alert Value’ field displays ‘Alert Value’, ‘Baseline Value’ or ‘Previous Window Value’ and ‘Load Metric Value’ if present for a generated alert.

Enhancement: Alert History Table

Whenever a new alert is generated, Alert ID is displayed in the Alert History table and Active Alert UI.

Enhancements: Multi-DC

• A user can apply the ‘tree filter’ option to adjust the visibility of the groups. Using this option in NodeJS server, the user can view only Application (WebLogic, Tomcat servers) metrics, System metrics, and Business Transactions data.
• Capability name assigned to logged-in user is displayed in dashboard of Multi-DC in the Logged-in user’s button tooltip. If logged-in user is having multiple capabilities, it is displayed in comma-separated format.

Enhancements: OKTA

1. Only a single session is created for OKTA user upon login with multiple tabs in same browser.
2. When a user, who is not part of any group, tries to login the product into default system view, it is redirected to an error page.

Enhancement: Drill-Down Report

Earlier, when a user opens Drill Down reports within the Reports Management window, a JSP file was opening. With this enhancement, angular version of System Defined Queries is displayed.

Integration of Cavisson tool in Jarvis

This feature enables a user to get the metrics data using REST API by defining required parameters, such as date, time, Derived formula, GroupID, GraphID, Vector name, and so on.

Monitors

Enhancement: MSSQL | DB Server Stats for Cavisson Machine Agent

MSSQL monitoring now also covers the following:

1. Stats graph for server memory utilization [RTG Monitor].
2. Stats table related to MSSQL server configuration setting [Real Time only].
3. Stats related to connection established per database based on database name [RTG Monitor].
4. Detailed information about the connection established per database.

Implementation of Generic REST Monitor

So many monitors are based on REST URL. Monitor reads data from URL response. Therefore, if URL response changes, monitor needs to be enhanced accordingly. To avoid making changes in monitors time to time, Generic REST based monitors are created. The user can customize monitor configuration based on the URL response changes.

Fusion Server, Fusion Intelligence, and Machine Learning Features for Fusion Server

Fusion monitoring is used to monitor fusion server applications. Fusion Server is a highly scalable search engine and NoSQL data-store that provides instant access to data.

Monitors for Google Spanner DB Stats

Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, schemas, SQL (ANSI 2011 with extensions), and automatic, synchronous replication for high availability.

A user can capture the following metrics that are supported by stack driver:

1. Spanner API Request Count
2. Spanner Uncompressed Request Bytes Received
3. Spanner Uncompressed Response Bytes Sent
4. Spanner CPU Utilization (PCT)
5. Spanner Node Count
6. Spanner 5’th Percentile Request Latency
7. Spanner 50’th Percentile Request Latency
8. Spanner 95’th Percentile Request Latency
9. Spanner 99’th Percentile Request Latency
10. Spanner Used Session
11. Spanner Storage Used (Bytes)

Active Logged in Users Graph in Cavisson Metrics

This enables a user to view the graphs for number of active users and active sessions for current time.

Database Monitor to Read MongoDB at a Specified Period

A Database Monitor is provided to read MongoDB at a specified period. The user can configure MongoDB monitors through Generic NoSQL DB monitor.

Android Device Monitor

The following monitors are provided to get the stats of the android device battery, CPU, and memory:

1. Android battery stats
2. Android mem stats
3. Android cpu stats

Monitor for Hive

Hive monitor is a JMX MBean monitor which used by Cavisson machine agent. This is responsible for capturing and sending attributes of JMX MBeans as per configuration of monitor. Hive is an open source data warehouse system built on top of Hadoop Haused for querying and analysing large datasets stored in Hadoop files.

Support for Pattern in JMXMBeanMonitor

A user can provide pattern (regular expression) in tier name for JMXMbean based monitors.

Capture Kafka Lag to Support New OCF Design

A monitor is created named as ‘Kafka Lag Monitor’ to capture Kafka Lag for supporting new OCF design.  Cavisson machine agent makes connection with Kafka server and zookeeper server and captures the offset values from kafka and zookeeper.

Support for Service Account (SA) Token File Path Option

Service Account is a GCP project token file by which a user can access all the instances running on that project. The user can use that project in which the clusters are running. GCP SA is used for Kubernetes monitoring instead of kube-token. The user can generate a token from JSON file in the UI.

Monitor for Windows Task Scheduler

Microsoft Windows operating systems has a feature called Windows Task Scheduler. This component allows users to schedule tasks, such as launching a program or a script at times specified by the users. A monitor is provided to capture status (such as completed, failed, started, and stopped) of different tasks scheduled based on the ‘Event IDs’ and ‘Task Category’ in ‘History’ tab.

Additional Graphs in MongoDB Replica Stats

Following are the additional graphs in MongoDB Replica Stats:

• MongoDB Inserts/Sec
• MongoDB Queries/Sec
• MongoDB Updates/Sec
• MongoDB Deletes/Sec
• MongoDB Commands/Sec

RBU

Enhancement: Page Speed Report

WebCoach is a tool used to get Page Scores and recommendations based on HAR file input. The coach helps you find performance problems on your web page and provides recommendations on how to do your page better. You will also get a score between 0-100. If you get 100, the page is great. If you get 0, you can do much better.

Chrome Browser Version for JSProfiler Usage

To use JSProfiler in RBU, version of chrome browser should be v68 or later. On clicking the “Enable JS Profiler” check box, a pop-up message is displayed if the selected browser version is less than Chrome 68.

NetHavoc

More Accurate High CPU Fault

Now, the high CPU faults are more accurate. Only the specified CPU consumption is considered as fault injection in spite of the additional CPU consumption by other processes (if any). For example, if we inject fault to increase CPU consumption up to 80% and some other processes get started during the fault duration, the total accumulated value should not increase and remain ~80.

More Accurate Fill up Disk Fault

Now, the fill up disk faults are more accurate. Only the specified fill up disk is considered as fault injection in spite of the additional disk space consumption by other processes (if any). For example, if we inject fault to increase disk space consumption up to 80% and some other processes get started during the fault duration, the total accumulated value should not increase and remain ~80.

Network Fault ‘DNS’ to Block Access to DNS Servers

In this fault, the user cannot access the DNS Server. It is blocked after applying fault.

‘User’ Column in Fault Injection Summary Table

A column named as ‘User’ is added in the ‘Fault Injection Summary’ table to display who has applied the fault(s).

Bug Fixes

The following issues are fixed in 4.1.14.1.