Operations | Monitoring | ITSM | DevOps | Cloud

After the blockbuster announcement of Chat-GPT in fall of 2022, the SEO and copywriting worlds were thrown into chaos. With AI able to generate blocks of mostly solid content (mostly) in seconds, what would this mean for the future of SEO – where for years copywriters have commanded triple digit hourly wages to generate content meant to game Google search results?

It’s one of my strongly held beliefs that errors are constructed, not discovered. However we frame an incident’s causes, contributing factors, and context ends up influencing the shape of the corrective items (if any) that get created. I’ll cover these ideas by using our June 3rd incident where a database migration caused a large outage by locking up a shared database and making it run out of connections.

Organizations that run Kubernetes clusters in cloud native environments should do so in a way that’s both operationally efficient and cost effective. However, many organizations don’t prioritize cost optimization until it becomes a pressing need. This may be due to a directive from senior leadership, a significant scale-up or migration of Kubernetes clusters, or an unexpected surge in the cloud bill.

Healthchecks.io launched in July 2015, which means this year we turn 9. Time flies! Previous status updates.

The recent Microsoft-CrowdStrike outage serves as a stark reminder of the interconnectedness and fragility of our digital infrastructure. What began as a seemingly isolated issue with a software update rapidly escalated into a widespread disruption, affecting businesses across multiple sectors. The incident highlights the potential consequences of software errors, particularly those that impact core system components.

Elasticsearch and Splunk are two leading solutions renowned for their capabilities in processing, analyzing, and visualizing large datasets in real-time. Both platforms have carved out significant roles in the fields of data analytics and log management, each offering unique features tailored to different needs. This article aims to provide a comprehensive comparison of Elasticsearch and Splunk, highlighting their strengths and weaknesses, and introducing Uptrace as a compelling alternative.

With the increasing complexity of modern applications, log management solutions have become synonymous with troubleshooting, monitoring, and ensuring application reliability. Moreover, choosing the right tools can significantly impact your application’s performance, efficiency, and overall operational costs. Two powerful tools that often come up in these discussions are Grafana Loki and the ELK Stack (consisting of Elasticsearch, Logstash, and Kibana).