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The latest News and Information on Service Reliability Engineering and related technologies.

Datadog on Site Reliability Engineering #shorts #datadog #observability

There are many different ways to implement Site Reliability Engineering (SRE). From team structures to roles and responsibilities to planning and prioritization flows, there’s no golden path for how to organize things. As Datadog has shifted from a startup to a quickly-growing public company, we’ve seen our own SRE practice evolve. With over 22,000 customers sending trillions of data points each day, keeping Datadog reliable is critical to our business.

An SRE's Most Important Skill? Communication

I wish someone had told me that I shouldn’t hop between frameworks. Just like learning four programming languages in your first year, in my experience spending time content switching as a beginner is wasted effort. If I’d spent a solid year learning how to deploy services on AWS, then when it was time to learn Azure, I’d see more similarities than differences and find it a lot easier to pick up a second public cloud.

How Incidents Foster Leadership

To become battle-tested, you need to go through battles, not just read books or mentor newcomers. Both are helpful but the stakes are low. On the other hand, high stake jobs, such as running a big project or managing a team, are hard to get when you lack experience. So how can we solve this dilemma? Enter incident response.

2024 SRE Report Insights: The Critical Role of Third-Party Monitoring in SRE

The 2024 SRE Report highlights a pivotal shift in how organizations approach the reliability and monitoring of their services, especially those that extend beyond their direct control. According to the report, 64% of organizations now recognize the importance of monitoring productivity or experience-disrupting endpoints, even beyond their physical control.

Why and how to use site reliability golden signals

Software complexity makes it harder for teams to rapidly identify and resolve issues. IT service management has evolved from an afterthought to a central part of DevOps. Microservices architectures are prone to delay or missed identification of such concerns. Monitoring mechanisms need to keep up with these complex infrastructures. Maintaining reliability and performance while harnessing this complexity requires a considered, data-driven approach.

Optimizing On-Call for Incident Management: Preventing Team Burnout with Rootly On-Call

Rootly On-Call streamlines incident management with automated scheduling, noise reduction, and centralized documentation. It mitigates on-call fatigue with features like flexible overrides, shift visibility, and shadow rotations, enhancing team well-being and preventing burnout.