Sematext Logs
Sematext Logs ist eine cloudbasierte Plattform für zentrales Log-Management und Echtzeit-Analyse.
Was ist Sematext Logs?
Sematext Logs ist eine cloudbasierte Lösung für zentrales Log-Management und Analyse. Du kannst Logs aus beliebigen Quellen wie Infrastruktur, Containern, Cloud-Plattformen und Anwendungen sammeln, zentralisieren und in Echtzeit überwachen. Die Plattform bietet leistungsstarke Such-, Filter- und Visualisierungsfunktionen sowie Alerting und Anomalieerkennung, um Probleme frühzeitig zu erkennen und zu beheben. Sematext ist skalierbar, kosteneffizient und unterstützt zahlreiche Integrationen für eine einfache Einrichtung.
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Für wen ist Sematext Logs geeignet?
Sematext Logs ist geeignet für:
Was sind Vorteile und Nachteile von Sematext Logs?
Hier sind die wichtigsten Vor- und Nachteile von Sematext Logs im Überblick:
Vorteile
Nachteile
Sematext Logs-Preise und Kosten
Die aktuellen Preispläne und Kosten von Sematext Logs sind:
Basic
Grundplan für einfache Log-Verwaltung mit 7 Tagen Datenaufbewahrung und 500 MB täglichem Volumen.
- Data Received: $0.1/GB
- Data Stored: $0.15/GB
- Retention: 7 days
- Daily Volume: 500 MB/day
- Searching & Filtering
- Elasticsearch API
- Monitoring Integration
- Custom Charts & Dashboards
- Unlimited Users
- Unlimited Sources
- Unlimited Dashboards
- Account Sharing
- App Sharing
- Role-based Access
- Saved Views
- Alerts Scheduling
- Alert Rules
- Overage Protection
- Support
- Max Log Event Size
Standard
BeliebtErweiterter Plan mit längerer Aufbewahrung, höherem Tagesvolumen und erweiterten Features wie Email Alerting und Reporting.
- Data Received: $0.1/GB
- Data Stored: $1.57/GB
- Retention: 7 bis 15 Tage
- Daily Volume: 1 GB bis 10 GB/Tag
- Alle Basic Features plus:
- Email Alerting
- Scheduled Reporting
- Live Tail
- Geography report
- Dedicated Account Manager
- Support
Pro
Professioneller Plan für große Datenmengen mit maximalem Funktionsumfang und langer Datenaufbewahrung.
- Data Received: $0.1/GB
- Data Stored: $1.9/GB
- Retention: 7 bis 365 Tage
- Daily Volume: 1 GB bis 300 GB/Tag
- Alle Standard Features plus:
- ChatOps Integrations
- WebHooks Integration
- Anomaly Detection
- Log Archiving
- Logs Pipelines
- Support
- Dedicated Account Manager
Sematext Logs Videos
Folgende Videos helfen dir beim schnellen Einstieg in Sematext Logs:
Getting to know Kibana
Kibana allows you to run data analytics at speed and scale for observability, security, and search. Powerful AI-powered analysis on any data from any source, from threat intelligence to search analytics, logs to application monitoring, and much more. This video provides a quick overview of Kibana. Kibana is your window into the Elastic Stack. It allows you to analyze and visualize your data. It is the home for the Elastic Enterprise Search, Elastic Observability, and Elastic Security Solutions. And it provides a user interface for managing, monitoring, and securing the Elastic Stack. Reference Links: - Free Kibana Fundamentals training: https://www.elastic.co/training/kibana-fundamentals - Introduction to Kibana: https://www.elastic.co/guide/en/kibana/current/introduction.html - Elastic Quick Start guides: https://www.elastic.co/training/free
What is Elasticsearch?
Learn more about Elasticsearch → https://ibm.biz/BdfCzt Deploy Elasticsearch on IBM Cloud → https://ibm.biz/BdfCqH What is Elasticsearch? In this lightboard video, Jamil Spain with IBM, dives into this open source search and analytics engine as well as ELK Stack, the combination of Elasticsearch Logstash, and Kibana to create highly scalable and searchable data storage. Get started on IBM Cloud at no cost → https://ibm.biz/BdfCqc Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now #Elasticsearch #JSON #ELKStack
![Build Your Own Search Using Amazon OpenSearch Service [FULL COURSE in 15MIN]](https://i.ytimg.com/vi/SIl5PM4m2KM/mqdefault.jpg)
Build Your Own Search Using Amazon OpenSearch Service [FULL COURSE in 15MIN]
Want to build your own search solution? The Amazon OpenSearch Service on AWS could be the solution for you. OpenSearch is a distributed, community-driven, Apache 2.0-licensed, 100% open-source search and analytics suite used for a broad set of use cases like real-time application monitoring, log analytics, and website search. OpenSearch provides a highly scalable system for providing fast access and response to large volumes of data with an integrated visualization tool, OpenSearch Dashboards, that makes it easy for users to explore their data. OpenSearch is powered by the Apache Lucene search library, and it supports a number of search and analytics capabilities such as k-nearest neighbors (KNN) search, SQL, Anomaly Detection, Machine Learning Commons, Trace Analytics, full-text search, and more. In this Video I take you through the steps to set up your first domain. LINK TO GITHUB TUTORIAL RESOURCES: 💾 Code Repo: https://github.com/johnny-chivers/amazon-opensearch-service SUPPORT THE CHANNEL: ☕ Buy Me A Coffee: https://www.buymeacoffee.com/johnnychivers 🖥️ My VPN: https://go.nordvpn.net/aff_c?offer_id=612&aff_id=74288&url_id=14830 ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 00:10 - Intro 01:12 - OpenSearch Service Theory 02:50 - Navigate To OpenSearch 03:33 - Create Search Domain 05:39 - Add Single Document to Index 08:17 - Upload Mulitple Documents to Index 10:10 - Search Index Via API 11:22 - Search Index Via UI 13:43 - Delete Cluster To Clean Up Resources 14:07 - Outro OTHER USEFUL LINKS: ℹ️ My Website: https://johnnychivers.co.uk 🔗 Linkedin: https://www.linkedin.com/in/johnny-chivers/ 💻 OpenSearch: https://github.com/opensearch-project/OpenSearch 😎 About me I have spent the last decade being immersed in the world of big data working as a consultant for some the globe's biggest companies.My journey into the world of data was not the most conventional. I started my career working as performance analyst in professional sport at the top level's of both rugby and football. I then transitioned into a career in data and computing. This journey culminated in the study of a Masters degree in Software Enjoy 🤘
Welche Sematext Logs-Integrationen gibt es?
Diese Integrationen stehen für Sematext Logs zur Verfügung:
Kubernetes
Container Orchestration
Container orchestration platform logs collection and monitoring
Docker
Containerization
Container logs collection and monitoring
AWS
Cloud Platform
Cloud platform logs collection and monitoring
GCP
Cloud Platform
Google Cloud Platform logs collection and monitoring
Azure
Cloud Platform
Microsoft Azure cloud logs collection and monitoring
Syslog
System Logs
System log collection from various servers and devices
Linux
Operating System
Logs from Linux servers and systems
Windows
Operating System
Logs from Windows servers and systems
Vanilla Containers
Containerization
Logs from standard container environments
Bare Metal
Infrastructure
Logs from physical servers without virtualization
VMs
Virtualization
Logs from virtual machines
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