Using Kubectl Logs: Guide to Viewing Kubernetes Pod Logs
Guide for kubectl logs with a cheat sheet. Learn to efficiently debug and monitor Kubernetes pods, from basic commands to advanced techniques.
Operations | Monitoring | ITSM | DevOps | Cloud
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Developer Self-Service: Overview & Best Practices
According to the 2024 State of Production Readiness report, 54% of engineering leaders said poor production readiness standards contributed to a decrease in developer productivity. But how? If software falls out of alignment with best practice—including those designed to maintain the health, observability, and security of software—developers wind up spending more time finding information and fixing issues than building new value.
What you should know about Datadog Flex Logs
Late last year, Datadog announced something called Flex Logs, a “more affordable” warm storage tier for log data. Designed for high-volume datasets that are infrequently queried and don't require real-time analysis, the Flex Tier offers Datadog Log Management customers a third option for data storage.
Ask the Experts: The Challenges of Adopting Honeycomb
In this episode of Ask the Experts, Victoria Perera Roman, Sr. Technical Customer Success Manager at Honeycomb, asks Dominic Marino, Principal #software #engineer at Cargurus and #observability expert, why some companies resist adopting Honeycomb.
How to Efficiently Manage Reserve Commitments
Say goodbye to the constant struggle of optimizing cloud costs and resource utilization. With Spot Eco, you can effortlessly gain visibility into overspending and effortlessly manage cloud cost management, allowing you to focus on what matters most.
A data lake on your cloud with Spark, Kubernetes and OpenStack
Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate.
Exploring edge computing in automotive
In this third episode of the automotive webinar series, we will focus on securely handling data in automotive and edge computing.
How to Reduce Metrics Costs with Grafana Cloud Adaptive Metrics | Grafana Labs
Grafana Cloud Adaptive Metrics has helped users save up to 70% on observability costs by automatically aggregating unused and partially used metrics. This video features a demo on Adaptive Metrics, where you’ll learn what we mean by “adaptive” — automating the process of recommending which metrics to drop while giving you the flexibility to determine any exemptions. This boils down to maintaining effective observability while reducing costs.
Introducing Cloud Provider Observability in Grafana Cloud | Demo | Grafana Labs
Learn how multi-cloud monitoring just got easier with Cloud Provider Observability in Grafana Cloud. In this video, you'll get glimpse at how the new app can enhance your observability strategy for all your major cloud providers. Plus you'll get a quick walk-through of the app.
Protect Your Alerts: Why Incident Alert Management Shouldn't Share a Cloud
When managing IT infrastructure, one crucial aspect is ensuring that your incident alert management system remains operational during critical failures or outages. Relying on a single cloud provider for both your primary services and incident management can create a significant vulnerability. If that cloud provider experiences an outage, your alert management system could become inaccessible precisely when it’s needed most, leading to delayed responses and extended downtime.