Operations | Monitoring | ITSM | DevOps | Cloud

Sysdig and Apolicy join forces to help customers secure Infrastructure As Code and automate remediation

Today, we announced that Sysdig is acquiring Apolicy to enable our customers to secure their infrastructure as code. I could not be more excited because the innovation that Apolicy brings to bear is unique and highly differentiated, allowing customers to strengthen their Kubernetes and cloud security and compliance by leveraging policy as code and automated remediation workflows that close the gap from source to production.

How Pernod Ricard uses Grafana and Loki to scale and monitor its global e-commerce business

Pernod Ricard is the toast of the wine and spirits industry, with a comprehensive portfolio that includes brands such as Jameson, Absolut Vodka, and Havana Club. While the $53 billion company has thrived on traditional distribution channels such as restaurants, clubs, stores, and duty-free shops, Pernod Ricard has recently focused on growing its direct-to-consumer (D2C) e-commerce business.

Observability for Retail: Top 3 Challenges and How Monitoring Can Help

The pandemic has created a unique set of circumstances that have accelerated what was already a growing trend. The shift from brick and mortar retail to a hybrid online and in-person retail experience has meant that nearly every retailer must also be an e-tailer and deliver a flawless digital shopping experience for its customers.

When Disaster Strikes: Ensuring Your DRP Actually Works

Black swan events are inherently unpredictable—you can’t prepare for every possible threat. Instead, you must identify the ways systems can fail and develop strategies to restore them to full service when these failures happen. But a disaster recovery plan (DRP) can’t be relied on until it’s been proven to work. The use of Chaos Engineering allows you to test your DRP much more safely and predictably than you could otherwise.

SRE's Guide to Chaos & Observability

Today’s distributed, cloud-based environments are incredibly complex. Not only does each component depend on many others, but modern systems are also highly dynamic—changing frequently as teams push new code or make updates to infrastructure. Taming this complexity to ensure reliability requires end-to-end observability to understand how components depend on each other. Additionally, proactive Chaos Engineering combined with AI-driven observability lets you uncover “unknown unknowns” that impact how your system will respond to different failure scenarios.

Building Reliable Applications Webinar 6 17 21

Test-driven development (TDD) is a process that ensures quality in the applications we develop while guarding against feature creep/skew. But as our applications have become increasingly complex, traditional testing methods are not enough. Traditional testing only evaluates what we know, but complex systems often fail due to unknowns—the things that are almost impossible to test because we are unaware of them. Chaos Engineering is the exception that allows us to test for what we don’t know.