Operations | Monitoring | ITSM | DevOps | Cloud

Automating incident recovery has inculcated rhythm to systems. But ITOps need more than automation. And, that is the acceleration of automated incident recovery. 79% reported in a survey that adding more IT staff to address IT incident management is not an effective strategy. Incident recovery needs accelerated intelligent automation. The two core outputs when accelerated are better and faster Incident Diagnosis and Resolution.

Just launched outage and recovery alerts via Slack, right into your team's workspace and across all your Slack-enabled devices.

This is a guest post collaboration between Squadcast & Threat Stack. The move to the cloud has rapidly expanded the cyber threat surface of modern cloud apps. This blog in partnership with Threat Stack, outlines how you can stay on top of your game with help of context-rich alerting & resolve security incidents rapidly along with few best practices to follow for faster incident response.

Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right.

Ensure data quality in your S3 data lake using Python, AWS Lambda, SNS, and Great Expectations. Data lakes used to have a bad reputation when it comes to data quality. In contrast to data warehouses, data doesn’t need to adhere to any predefined schema before we can load it in. Without proper testing and governance, your data lake can easily turn into a data swamp.