No matter how you design your architecture or what technologies you implement, critical incidents will happen. When things go wrong, it is easy to get carried away and forget about the bigger picture. But your work isn’t done after you fix the immediate problem; now is the time to take a look at how the incident actually happened so that you can learn from it.
As a company providing tooling to enable developers and operations teams to adopt a productive serverless workflow, Stackery is closely integrated with Amazon Web Services (AWS). Our customers are development teams who want to confidently build on AWS serverless and then manage the pipeline to production with confidence that what gets built and changed is done efficiently and well.
In a simpler world, incident response notifications would be a one-size-fits-all type of item. You could deliver the same notification to everyone with equally successful results. But in the real world, incident response messages must be nuanced. Unlike baseball hats or wristwatches, the messages you send to different stakeholders when an incident occurs need to be tailored to each category of recipient.
Grafana Labs works everyday to break traditional data boundaries with metric-visualization tools accessible across entire organizations. It began as a pure open-source project and has since expanded into supported subscription services. The Grafana open-source project is a platform for monitoring and analyzing time series data. There are also subscription offerings such as the supported Grafana Enterprise version. Grafana Labs’ engineers service more than 150,000 active installations.
Auto-alert suppression management in OpsRamp delivers first-response actions to reduce redundant and noisy alerts. Learning-based first-response policies ensure that IT teams no longer have to create static rules for a target set of resources by configuring alarm thresholds, defining filter criteria, and specifying time intervals.
On AWS, your workloads will be as secure as you make them. The Shared Responsibility Model in which AWS operates ensures the security of the cloud, but what’s in the cloud needs to be secured by the user. This means that as a DevSecOps professional, you need to be proactive about securing your workloads in the Amazon cloud. Achieving the optimal level of security in a multi-cloud environment requires centralized, automated solutions.
Imagine a man, a metaphorical man, slumped over, sitting silently across from you. Do you see him? Hastily smashing his fingers against the keyboard with a feverish sweat running down his neck. He, like many, only opens his APM solution after those universally feared “oh shit!” moments. Like a firefighter with a magnifying glass, he dives into his logs looking for a needle in a haystack. But you… Well, you know better than that. You wouldn’t just use your APM on bad days.
One of the benefits of using Logstash in your data pipelines is the ability to transform the data into the desired format according to the needs of your system and organization. There are many ways of transforming data in Logstash, one of them is using the mutate filter plugin. This Logstash filter plugin allows you to force fields into specific data types and add, copy, and update specific fields to make them compatible across the environment.
July 09, 2019 With the official release of Rails 6 just around the corner, we round up all the major new features coming your way. It is an exciting release due to some big features coming upstream from the Basecamp and GitHub projects. Amongst the many minor updates, useful tweaks and bug fixes, Rails 6 will ship with two completely new frameworks: ActionText and ActionMailbox, and two big scalable-by-default features: parallel testing and multiple database support.
