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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

re:Invent Serverless Talks - Scaling Up to Your First 10 Million Users

After months of planning and anticipation for sponsors, attendees, and speakers alike, it’s a bit surreal that re:Invent 2019 is actually upon us! In addition to setting up shop in the Expo hall with the team to chat with re:Invent guests about their current serverless development workflows (and how Stackery can supercharge it), I made sure to attend some choice presentations this week.

Netflix talks about Extended BPF: A new software type

Extended BPF is a new type of software and the first fundamental change to how kernels are used in 50 years. Major companies like Netflix and Facebook already use it. In this talk given at Ubuntu Masters Conference, expert Brendan Gregg, Senior Performance Engineer, Netflix Performance and OS Team, explores the past, present and future of BPF, and describes use cases.

Grafana Templates for Elasticsearch, Prometheus and InfluxDB

Grafana is everywhere. Almost every DevOps team out there is currently in the process of creating a proof of concept enabling them to implement Grafana into their stack—if they have not already implemented it, that is. Teams are eager to employ Grafana’s highly effective visualizations and dashboards that monitor and track services’ functionality and performance.

Release 1.19: More efficient DevOps with web log parsing and unit testing

Network monitoring is complex, which is why we’re developing a monitoring tool that will drastically increase DevOps productivity. This release is all about improving Netdata’s day-in, day-out performance. We’re working hard to make deploy enhancements that help engineers make faster, smarter decisions about their systems.

[KubeCon Recap] How to Debug Live Applications in Kubernetes

Joe Elliott, a backend engineer at Grafana Labs, took the stage in front of a packed house at KubeCon + CloudNativeCon in San Diego to demonstrate a few of the tricks he uses to debug applications live in Kubernetes. The goal is to increase your knowledge of applications in the production environment. Elliott’s techniques are framework agnostic and Linux-specific, and they are most useful in situations where you have a known type of problem and application.

How AIOps Can Help Deliver Key ITOM Insights

In our previous blog post, we discussed the three core capabilities that constituted AIOps solutions: data ingestion and handling, machine learning analytics, and remediation. With an exponential increase in the amount of data generated by all these devices and siloed tool sets, the job of IT Ops can only get more challenging.