Operations | Monitoring | ITSM | DevOps | Cloud

HEAL Product Video

HEAL Software Inc. is the provider of game-changing innovation HEAL, the first preventive healing software for IT operations that fixes problems before they happen. Contrary to APM and monitoring tools that send alerts or find the problem sources when an incident occurs, HEAL can recognize "signals" that are leading indicators of future incidents and eliminate factors that can create problems.

Galileo Client Testimonial - MEDHOST

MEDHOST is a trusted provider of electronic health records (EHR) for Healthcare Facilities, and infrastructure performance is critical to their business. When they needed an infrastructure monitoring solution that could provide a complete view of their entire environment, MEDHOST turned to Galileo. In this video, see how Galileo has helped them optimize infrastructure performance and readiness, as well as increase their customer satisfaction.

HAProxyConf 2019 - Building a Global PoP Network Using HAProxy by Luke Seelenbinder

This presentation will describe the challenges, benefits and overwhelming success of deploying a PoP network using HAProxy. You will learn how Stadia Maps uses HAProxy to increase and track performance, ensure reliability and uptime, and enforce authentication and authorization for our mapping services. Specific topics covered will be replacing active authentication with ACLs, using HAProxy’s syslog output to track usage and enforce quotas, using SRV records to route (and reroute) traffic, and the challenges encountered running an IP failover-based setup at scale.

Building a flexible, realtime data warehouse at Sentry with Beam + Dataflow (Syd Ryan)

Syd Ryan describes two hard problems they've solved at Sentry with streaming Beam pipelines. The first solution combines Postgres change data capture and SQL views to produce a table that appears to be updating in real time within BigQuery. The second solution is aggregating 1000s of events per second and backfilling historical data effectively with Beam's unified batch/streaming interfaces.

Beam in Production: Lessons learned and best practices (Mike Clarke)

Mike describes gotchas and early struggles Sentry hit moving streaming data pipelines off our laptops and into production. He covers some unexpected Beam defaults, detecting schema errors, compare performance between the python & java SDK, and proactively identifying when production pipelines break due to unexpected data.