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Data Observibility in snowflake application
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- 2. Zabbix Client Server Model/ MySQL/PostgreSQL based data backups Features: Network Monitoring Container Monitoring Server Monitoring Cloud Monitoring Kubernetes Clusters Model Modes of Data Collection Active / Passive passive the agent responds to the data request came from Zabbix server and Zabbix agent sends back the result active : first retrieve the list of items from Zabbix servers for independent processing and then it will periodically send’s new value to the server Zabbix is an enterprise open-source monitoring solution for networks and applications, designed to monitor and track the status of various network services ,servers and other network hardware -Zabbix collects data collected through graphs and SNMP or custom agent, -Features: High Performance and capacity Auto discovery of servers and network device Low level discovery Agent Less Monitoring JMX Monitoring ,web Monitoring Flexible email notification on predefined events user-defined visual screens ,dashboard and graphs secure user authentication © 2023 Wavicle Data Solutions 2
- 3. 3 New Relic New Relicis a SAAS Application performance management (APM) tool that combines Real user Monitoring (RUM) with deep ,component-level visibility into web applications. Measure front end performance including browser response ,page load times and monitors app performance at the component level and spot potential bottle necks. Determines if the performance issues are in the front end, the app or the network Features: Application Monitoring Infrastructure Monitoring Mobile Monitoring New Relic Grok Log Management Browser Monitoring Network Monitoring Code Stream Synthetic Monitoring Error Tracking Pathpoint Explorer Serverless Monitoring Model Performance Monitoring Kubernetes Monitoring AIOps Vulnerability Management Dashboards Alerts Open Telemetry Change Tracking Website Performance Monitoring Pricing : Basic Free Usage up to 100 GB Core 49$ Starting Full Platform 99$ Starting Pro: Ease of Use & Capability set towards all applications. Con: Dashboard is hard to customize as needed License Cost is high Loss of History data when you use free plans
- 4. 4 Splunk Cloud Observability •Infrastructure Monitoring • On-Prem • Cloud • Hybrid • APM • Log Observer • RUM • Synthetic Monitoring • On-Call Cloud Watch Vs Splunk Monitoring/Log Operational Intelligence AWS Specific Cloud Agnostic Zero Set up Initial Setup Needed Log Driven Log/API Driven Poor Search Capability Splunk Query Language External GUI Needed In-built rich GUI Support General AWS Support Paid Support Along With this, there will be separate Pricing on Workload And Ingestion. Standard Support by default. Free Trail Available for End-to-End Analysis for 14 Days https://docs.splunk.com/Documentation/Splunk/9.1.0/Admin/Mor eaboutSplunkFree . -- 500 MB/Single Instance
- 5. ELK • Elasticsearch: Storage •Logstash: Collecting & filtering the data (Log collection, Plug-ins) ◦ Arcsight module ◦ Netflow module ◦ Azure module • Kibana: Graphical user interface • Beats: (Light weight, monitoring agent) ◦ Filebeat (logs) ◦ Metric beat (RAM, CPU, I/O, Application) ◦ Packetbeat (N/W, Traffic) ◦ Auditbeat (access, H/W security) ◦ Winlogbeat (Same as Auditbeat for WINDOWS) ◦ Heartbeat (uptime, availability checks) ◦ Functionbeat (For serverless applications) • Skills required ◦ Command line options ◦ Ruby source code ◦ Supports multiple languages like JS, Python, Perl • Use Cases ◦ System performance monitoring ◦ Log management ◦ Application performance monitoring (Not an open source) ◦ Application data analysis ◦ security monitoring & Alerting ◦ Data visualization • Pros: ◦ OpenSource ◦ Plugin ecosystem ◦ Tight integration into the Elastic.com products of Beats and Elasticsearch • Cons: ◦ Different configurations in each element make it difficult to use. ◦ Security issues. security patching around nodes ◦ Stability & Uptime Issues ◦ Complex Management Requirements • Output data format ◦ JSON by default; Can get as CSV, txt file to S3 using plugins
- 6. Prometheus • Overview ◦ Prometheusis an open-source technology designed to provide monitoring and alerting functionality for cloud-native environments, including Kubernetes ◦ It can collect and store metrics as time- series data ◦ It can also collect and record labels, which are optional key-value pairs. ◦ Infrastructure monitoring with Prometheus can become time-consuming as data volumes grow. ◦ PromQL is used to view the data ◦ Docker images available for different requirements like Prometheus, alertmanager, blackbox_exporter, mysqld_exporter, node_exporter • Skills required ◦ Command line options ◦ Libraries available in Go, Java, Python, Scala, Perl • Use Cases: ◦ Monitoring distributed systems ◦ Resource utilization ◦ Application performance monitoring (APM) ◦ Network monitoring ◦ Custom metric collection ◦ Infrastructure monitoring • Pros: ◦ Open source ◦ Monitor a variety of infrastructure and application metrics • Cons: ◦ PromQL ◦ Initial configuration is time-consuming and development intensive • Output data format ◦ Stores all data as time series ◦ Prometheus ◦ Grafana ◦ S3 using adapters like kinesis, Thanos
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