Operations | Monitoring | ITSM | DevOps | Cloud

How IT Departments Are Evolving in an Era of Remote Work

Maintaining business continuity is both more difficult and more important than ever in the era of COVID-19. Typically, IT departments evolve their approaches and technologies over time to meet the needs of customers. But that approach may soon be outdated thanks to the global pandemic.

How To Build A Cloud-Native DevSecOps Pipeline With JFrog And AWS

Join us to discover the strategies and tools you can use to ensure you can easily overcome the challenges of securing your software releases. We will share best practices for taking advantage of DevSecOps in the cloud with JFrog and AWS. We’ll share pipeline design and architecture patterns; tips for minimizing setup, re-work and process overhead for developers; shifting-left security testing and remediation, and more.

KMC - Rancher and Terraform: Deploy and Manage Clusters as Code

Terraform provides declarative Infrastructure as Code (IaC) management for many platforms, including Rancher 2.x servers. When using the Rancher2 provider alongside of other Terraform providers many manual tasks can be automated and standardized. In addition, infrastructure can be unit tested as is common with other code, extending rapid iteration into the infrastructure layer.

How to maximize span ingestion while limiting writes per second to a Scylla backend with Jaeger tracing

Jaeger primarily supports two backends: Cassandra and Elasticsearch. Here at Grafana Labs we use Scylla, an open source Cassandra-compatible backend. In this post we’ll look at how we run Scylla at scale and share some techniques to reduce load while ingesting even more spans. We’ll also share some internal metrics about Jaeger load and Scylla backend performance. Special thanks to the Scylla team for spending some time with us to talk about performance and configuration!

Automate Release Management with the Sentry Release GitHub Action

Time trolls people. It speeds up in good times and slows down in bad. For instance, when you push code, your brain feels like it’s in a whirlwind. But when you’re debugging subsequent errors, the hours seem to slog by. This is particularly true if you are operating without context and without the help of automation. Fortunately, our friends at GitHub built an automation platform for products like Sentry to integrate with: Sentry Release GitHub Action.