Name: Monitoring Kubernetes Health: How to Tackle Observability Challenges
Start: 2022-09-29T17:00:00Z
End: 2022-09-29T17:00:58.000Z
Location: BrightTALK
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Circonus provides insights to help engineers and IT operations professionals advance their monitoring, adopt SRE principles like SLOs, and better harness telemetry data to optimize business outcomes.

Graphite is an enterprise-scale monitoring tool developed in 2006 that stores and graphs time-series data. Graphite is in use by thousands of companies and is a good solution for smaller IT environments whose systems are emitting lower volumes of  telemetry. However, as organizations expand their IT infrastructure, Graphite becomes too fragile to handle the volume of metrics their applications and systems are now generating — presenting challenges that result in inaccuracies, performance issues, and costs.

This webinar will discuss the typical struggles enterprises have with their Graphite deployments and how they can efficiently address these. In this webinar, you’ll hear:

--The strengths and limitations of Graphite
--Modernization strategies for scaling Graphite, boosting performance, and simplifying your metric ingestion pipeline
--Case studies on how applying these strategies reduced costs, improved data safety, and increased flexibility for measuring and defining SLOs

Modernizing and Scaling Graphite

More companies are implementing Site Reliability Engineering (SRE) principles like Service Level Objectives (SLOs). Latency SLOs are an agreement on an acceptable level of availability and performance and are key to helping engineers properly balance risk and innovation.

Unfortunately, many organizations aren’t fully realizing the benefits of latency SLOs because the reality is that there are common mistakes when setting and calculating them — and the consequences of this can include tens of thousands of dollars of unneeded capacity, not to mention the cost of human time.

This webinar will delve into how to frame and calculate latency SLOs the right way. You'll learn:

• Common mistakes when calculating latency SLOs 
• Re-thinking how to compute SLO latencies 
• Using histograms to frame SLOs, calculate percentiles, and iterate SLOs continuously

How to Correctly Create and Measure Latency SLOs

Once an organization deploys their Kubernetes clusters, there’s the challenge of monitoring their health and performance. Kubernetes abstracts away a lot of complexity to speed deployment but in doing so, it leaves you blind as to what is actually happening, what resources are being utilized, and even the cost implications of the actions being taken.

In this webinar, you’ll learn:

--How to tackle the unique observability challenges of Kubernetes
--Critical health metrics to collect and analyze
--Insights from Major League Baseball on their approach to Kubernetes deployment and monitoring and what lessons they have learned to optimize cluster health and performance

Monitoring Kubernetes Health: How to Tackle Observability Challenges

Monitoring

DevOps

Application Monitoring

IT Operations

Network Monitoring

Digital Transformation

IT Infrastructure

Cloud

Infrastructure Management

IT Automation

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Monitoring Kubernetes Health: How to Tackle Observability Challenges

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