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Using Dynamic Thresholding to Monitor Your Cloud Platforms

Whether you are new to the Cloud, mid-transition, or a professional at cloud or hybrid systems, no one likes being bothered with useless alerts. The options are simple: If you take the approach of ignoring the alert like a bad cold-call, you risk the chance of missing a critical alert and watching your system crash around you. No one likes to open their inbox to a few hundred alerts they have been ignoring.

How to Bring Operational Experience to your Development with Github's Lauren Rubin

At the 2019 Blameless Summit, Lauren Rubin spoke about how to bring operational expertise to development teams. The following transcript has been lightly edited for clarity. Lauren Ruben: I was going to ask for a show of hands of how many people here who are on call right this minute right now. I am actually on call right this minute. I like to live dangerously. If my phone beeps, the specific noise that means I have been paged, I'm sorry, I am going to look at it.

Enable suspect commits, unminify JS, and track releases with Vercel and Sentry

If you’re a JavaScript developer there’s a very good chance you’ve heard of or use Vercel. In the small chance you haven’t, Vercel is this awesome platform that makes building and deploying Jamstack frameworks like Next.js incredibly fast and easy. Next.js is gaining in popularity with 51k stars on GitHub and it’s one of the most trusted stacks in the JavaScript world these days.

Monitor and Optimize Your Rancher Environment with Datadog

Many organizations use Kubernetes to quickly ship new features and improve the reliability of their services. Rancher enables teams to reduce the operational overhead of managing their cloud-native workloads — but getting continuous visibility into these environments can be challenging. In this post, we’ll explore how you can quickly start monitoring orchestrated workloads with Rancher’s built-in support for Prometheus and Grafana.

Q&A with Daniel Seravalli, Lead Engineer at Holler: Nailing Observability at Scale

Holler is a messaging tech company that enriches conversations everywhere by creating and delivering useful, entertaining, expressive visual content to add texture and emotion to messaging environments. As the company has continued to grow, the engineering organization has scaled to meet the demand for its services. However, without a fully staffed Operations team, most of the engineers at Holler perform double duty across DevOps to keep the service performant for consumers.

Is your Grafana dashboard ready to spot chaos?

When it comes to systems reliability, you wouldn’t normally think that unleashing additional chaos would actually be helpful, would you? As more engineering teams moved toward microservice-based architectures for cloud applications over the course of this past decade, many of them didn’t change their testing strategies.

Transitioning from the ELK Stack to Logz.io in 5 Quick Steps

At Logz.io, we’ve built our Log Management solution on the ELK Stack because we know it’s what modern engineering teams prefer. It’s familiar, powerful, and integrates easily with other DevOps and cloud technologies. That’s what makes migrating from ELK to Logz.io a seamless process. This means current ELK users can easily transition to Logz.io. If you’re currently using ELK, you can ship the same data using exactly the same shipping mechanisms.

Automatic Merging When Builds Pass

Today Bitbucket is releasing a new labs feature, "Pending Merges", which allows for automatic merging of pull requests when builds pass. This means no more continually checking back in on your pull request, just waiting and waiting for your builds to pass before you can finally merge it. You will no longer be forced to begrudgingly fix that one-character whitespace typo in your comment that you really should fix, but that means you're in for another 30-60 minutes of watching your builds.

Monitoring and Securing Cloud-Based Databases Is the Developer's Responsibility

Modern application development requires more work to ensure the development path and the data it produces are fully in sync, secure, optimized, and error-free. This responsibility has increasingly fallen upon application developers. They’re being asked to double as database administrators to maintain fluidity in the process and support an agency’s rapid release cycle.