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Runtime Control for the Cloud Native Enterprise

Menlo Park, CA
Joined January 2014
Glasnostic retweeted
Well-argued post on how "big" problems in complex systems are a combination of "small" problems, which can be fixed individually. Key question, though: what keeps these fixes from combining with other "small" fixes to new "big" problems? Looking forward to a follow-up post.
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Overload needs immediate attention. Learn how Glasnostic can calibrate load patterns and notify your team via a smart integration with, e.g., @pagerduty: buff.ly/3zw9hrE #SRE #IncidentResponse #PagerDuty
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All apps today are "Franken-apps": complex functionality that's stitched together from various existing and new components. This is great for the business (speed!) but also creates operational complexity that must be managed. buff.ly/3OdFqIS
We live in an automation-rich world and none of these automations are designed to work together. buff.ly/3cE41cu #SRE #CloudComplexity
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Honored to have been a launch partner since the preview days! buff.ly/3PW8JRf
No matter how well you plan and how much you automate—ultimately, unpredictability reigns supreme. There are a lot of “unknown unknowns,” so it's important to detect these quickly and react to them immediately. #clouddependencies #SRE #unpredictabilities
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Explore what chaos engineering is and how it is not only a good but essential practice for distributed applications: buff.ly/2M8OWzQ #microservices #devops #operations
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In our increasingly complex environments, manual debugging is not a feasible approach. What's needed is real-time visibility into the complex interactions of systems and the ability to control these behaviors. #DevOps #operations buff.ly/3uWlnaX
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Honored to be a launch partner with the fantastic Azure GWLB team! Whether you’re already managing East/West flow or not, there is simply no better way to control North/South flows.
🎉 Gateway Load Balancer is now generally available in all regions! Learn more about this SKU of Azure Load Balancer targeted for transparent network virtual appliance insertion: msft.it/6015bfCDX #Azure #VirtualMachines
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What are emergent behaviors and why do they need to be detected and controlled in real-time? buff.ly/3IKGUsP #architecture #microservices
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Nothing kills application reliability like a good dose of overload. One way of dealing with this is to build a proprietary load shedding framework like @Linkedin's Hodor. But can we do more than that? buff.ly/3cormig #SRE #cascadingfailures
At the limit, all software behaves unexpectedly.
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Runtime control simplifies automation, reduces toil, and minimizes unpredictability. buff.ly/3NX1iYK #SRE #CloudOps
We run every more pieces in ever more places. This requires a different kind of visibility and runtime control. buff.ly/3c6h46j #SRE
We may have "2-pizza" teams but, in the cloud, no app is an island. Everything is a dependency so our success depends on everything. How do you control what you don't own?
Site reliability engineering is hard enough, so don't handicap yourself with poor tooling. Make sure you have everything you need! #SRE #Cloud buff.ly/3OdFqIS
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Have you ever gone down the root cause rabbit hole, only to discover that there was none? Generic mitigation beats searching for and fixing "root causes" every time. buff.ly/3yAhkBQ #SRE #Remediation #DevOps #Operations
Your application might run well in pre-production, but what will happen after it gets released and "punched in the face" by countless other factors out in the cloud?
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Backpressure is the Swiss Army knife of resilience engineering. buff.ly/3wz7roV
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Cloud native apps are no longer stand-alone "islands". They depend on many other apps and services, which makes them difficult to operate without direct, runtime control. #SRE #CloudNative #Architecture
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