Operations | Monitoring | ITSM | DevOps | Cloud

A Simplified Guide to Kubernetes Monitoring

The open-source Kubernetes platform has become the de facto standard for deploying, managing, and scaling containerized services and workloads. In fact, 83% of DevOps teams are using Kubernetes to deploy containerized applications in production, taking advantage of its workload orchestration and automation capabilities to optimize the software development process and reduce web server provisioning costs.

5 Elasticsearch Disadvantages You Should Know

Since its initial release in 2010, Elasticsearch has grown into the most popular enterprise search engine with use cases that range from web crawling and website search to application performance monitoring and security log analytics. But despite its widespread adoption and success, Elasticsearch does have some notable disadvantages that you should consider - especially if you’re envisioning a high-scale deployment with a large amount of daily ingestion.
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SIEM Logging for Enterprise Security Operations and Threat Hunting

Today's enterprise networks are diverse and complex. Rather than the simple network perimeter of old, bad actors can attack through multiple entry points, including cloud-based applications. Not to mention, these networks generate massive amounts of transactional data. Because enterprise networks have become larger, they're more difficult to secure and manage. As a result, IT operations teams and security analysts seek better ways to deal with the massive influx of information to improve security and observability.

OpenSearch vs. Elasticsearch: Which is Better?

Following its release under the open-source Apache 2.0 license in 2010, Elasticsearch rose to prominence as the world’s most popular enterprise search engine. Elasticsearch is frequently deployed alongside Logstash and Kibana, a combination known as the ELK stack, to enable log analytics use cases that include application observability, security log analysis, and understanding user behavior.