Operations | Monitoring | ITSM | DevOps | Cloud

The DevOps tool catapulting Gigpro from slow to swift

The DevOps tool catapulting Gigpro from slow to swift: Rick Cabrera, VP of Engineering, and Tucker LoCicero, Software Engineer and Team Lead at Gigpro tell us how Sleuth helped their team improve release frequency, gain visibility to bottlenecks, build trust between the business and engineering, and measure DORA metrics to prove their progress. Chapters: Give Sleuth a try and see how we empower software teams to build faster by making engineering efficiency easy to improve and measurable — in a way that both managers and developers love.

Infeasible? Yes, developers are technically correct

Infeasible? Yes, developers are technically correct when they say something is infeasible. To engineering managers, that translates to impossible, which is correct, too. This is where software developers and managers can agree to disagree. Here's part 3 of 4 of Sleuth's CTO and cofounder, Don Brown's take on decoding developer speak. Give Sleuth a try and see how we empower software teams to build faster by making engineering efficiency easy to improve and measurable — in a way that both managers and developers love.

The Unplanned Show, Episode 5: DataOps with Snowflake

Long gone are the days when data is batch loaded into a data warehouse for business intelligence reports that are looked at periodically and if something is broken, a few internal people would have to wait. Today, data pipelines are “infinitely more complicated”, with more sources from cloud services to on premises systems, and supporting data applications that are critical parts of a business’ ecosystem.

Spotting Vulnerabilities at Rest and at Runtime feat. Cloudsmith and Sysdig

The rise and popularity of containers and Kubernetes have revolutionised the IT industry but also introduced a lot of complexity including a huge number of vulnerabilities coming from different container image layers. To master those vulnerabilities both DevOps and Security teams are struggling to prioritise and address them, often without sufficient clarity or accountable insights.

Proven methods for elevating end-to-end tracking in Azure/Hybrid Integrations

Tracking end-to-end message or business data across Azure/hybrid integration and implementing end-to-end tracking presents a significant challenge for many organizations. To solve this problem, many rely on various monitoring tools like Log Analytics, App Insights, etc., designed for developers. However, when it comes to supporting applications in production or real-time for non-technical Azure operations/support teams, this approach can be challenging in terms of security and expertise.