Operations | Monitoring | ITSM | DevOps | Cloud

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

How to fail with Serverless  Jeremy Daly Failover Conf 2020

Everything fails all the time. Knowing how to deal with these failures in serverless applications becomes essential to building resilient, highly-available systems. In traditional monolithic applications, catching errors and handling retries is relatively straightforward. But as our systems become more distributed, we now have multiple (often asynchronous) components processing events from several sources, all with vastly different retry behaviors and failure mechanisms. Utilizing old patterns can cause errors to get swallowed, creating brittle, unreliable systems that are difficult to debug and hard to maintain.

Slowdown is the New Outage  Marco Coulter  Failover Conf 2020

While outage-driven news headlines can cause stock prices to plummet short term, the performance-driven reputation loss is a slow burn for longer-term customer loss. This session compares slowdowns vs outages and the resulting need for insight more than observability. By understanding these difference, you'll be ready to drive agile applications, gain funding for lowering technical debt, and focus on customer retention.

The Halo of Resilience Engineering  J. Paul Reed  Failover Conf 2020

Recent world-impacting events have caused us all to have to rethink the way we go about our daily work; in this talk, we'll look at how some of the pillars of Resilience Engineering might help you and your team deal with the changes we're all being forced to confront.

Improving a Distributed System Post-Incident Julius Zerwick Failover Conf 2020

In this session, we will dive into a case study of how a team can recover & improve a distributed system after a major incident. Distributed systems are more prone to failure than other systems due to their incredible complexity and scale, and incidents are a fact of life with these systems.

Built-in Application Resiliency Allan Shone  Failover Conf 2020

When starting a new application build, starting with an eye on resiliency prevents headaches down the line. There are many ways to tackle this, especially within different language environments and system eco-systems, but there are many shared across them all. Getting a high-level take-away list to use as a reference later, from a dive into them during this talk, viewers will learn how to develop software that is more fault-tolerant and able to with-stand impact of failures.

Pitfalls in Measuring SLOs  Danyel Fisher & Liz Fong-Jones  Failover Conf 2020

We built support for SLOs (Service Level Objectives) against our event store so we could monitor our own complex distributed system. In the process of doing so, we learned that there were a number of important aspects that we didn’t expect from carefully reading the SRE workbook. This talk is the story of the missing pieces, unexpected pitfalls, and how we solved those problems. We’d like to share what we learned and how we iterated on our SLO adventure.

Monitor Sidekiq with Datadog

Sidekiq is a Ruby framework for background job processing. Developers can use Sidekiq to asynchronously run computationally intensive tasks—such as bulk email sending, payment processing, and data importing—to help speed up the response times of their applications. If you’re using Sidekiq Pro or Enterprise, Datadog’s integration helps you monitor the progress of your jobs and the applications that depend on them, all in a single platform.

Monitor Windows containers on Google Cloud with Datadog

Many organizations already use Docker to containerize their Windows applications and often run mixed Windows and Linux container environments to support complex architectures. With Kubernetes’s support for deploying clusters with Windows nodes, organizations can leverage the orchestration platform to easily automate container provisioning, networking, scaling, and more for their Windows applications.

Managed OpenStack cheaper than self-managed?

Outsourcing OpenStack operations can significantly accelerate the OpenStack deployment process. Although most organisations are successful with the initial roll-out of the cloud, many struggle to operate it effectively post-deployment. Under certain circumstances, a fully managed OpenStack can also be a cheaper option than the self-managed one. We have recently published a webinar in which we demonstrated a detailed cost analysis of both options.