Identifying Bucket Name and Path Expression
The video shows how to identify S3 bucket name and path expression in AWS console.
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The latest News and Information on Cloud monitoring, security and related technologies.
Introducing Cloud Native Observability
The term ‘cloud native’ has become a much-used buzz phrase in the software industry over the last decade. But what does cloud-native mean? The Cloud Native Computing Foundation’s official definition is: From this definition, we can differentiate between cloud-native systems and monoliths which are a single service run on a continuously available server. Like Amazon’s AWS or Google Azure, large cloud providers can run serverless and cloud-native systems.
Roundtable: The Complexities of Cloud Migration - Dash 2021 (Datadog, LaunchDarkly, StockX)
Often when completing a migration project, you’re having your organisation straddle between two systems. You’re fighting habits and changing attitudes while also attempting to complete a high-risk operation. Every software team at one stage in their career will have to complete a migration. Whether it’s to improve scalability and performance, or transition between an on-prem to cloud solution, you’ll need a deep understanding of your current environment to create a strategy that minimises downtime for your team.
How to do serverless monitoring right #shorts
Monitoring CPU load and memory usage is common practice, but with serverless no action is required. In this video, we quickly explain that if your Cloud Run instances start hitting high CPU load, Google Cloud will automatically spin up new instances for you, and vice versa!
Maintaining Operational Sanity Across 100+ AWS Accounts | Eric Mann / Ryan Tomac (Vacasa)
At Vacasa, AWS accounts represent the unit of isolation for distinct applications & services in our software ecosystem, providing security benefits and operational autonomy for our teams as we scale. Managing accounts at this scale requires strong DevOps practices to maintain security, operational sanity, and uniform observability across the system. In this talk, we’ll cover the benefits of such an approach, the practices that make it possible, and the important role Datadog plays.
Forecasting Kubernetes Costs
The benefits of containerizing workloads are numerous and proven. But, during infrastructure transformations, organizations are experiencing common, consistent challenges that interfere with accurately forecasting the costs for hosting workloads in Kubernetes. Planning the proper reservations for CPU and memory before migrating to containers is a persistent issue Densify observes across our customers.
Historical log analysis and investigation with Online Archives
To have full visibility into modern cloud environments, businesses need to collect an ever-growing avalanche of log data from a range of highly complex data sources. Indexing logs is key for real-time monitoring and troubleshooting, but it can quickly become expensive at high volumes, meaning that organizations often must choose which logs to index and which to archive.
Top six Amazon S3 metrics to monitor
When you’re planning an application performance monitoring (APM) strategy, collecting metrics from storage services like Amazon S3 may not seem like a priority. After all, part of the point of object storage is that applications can read and write from storage buckets seamlessly, with minimal configuration and overhead. Unlike databases or file systems, storage buckets don’t require complex configurations that could lead to performance issues.
Differences between Site Reliability Engineer Vs. Software Engineer Vs. Cloud Engineer Vs. DevOps Engineer
The evolution of Software Engineering over the last decade has lead to the emergence of numerous job roles. So how different is a Software Engineer, DevOps Engineer, Site Reliability Engineer and a Cloud Engineer from each other? In this blog, we drill down and compare the differences between these roles and their functions.
Full Circle: From Puppet to Google and Back Again
Deepak and Kelsey have a long history in a shared industry — they both worked at Puppet when it was still called Puppet Labs, and collaborated on some of the most exciting projects that made Puppet what it is today. Join Deepak and Kelsey for a fireside chat during which they’ll discuss the evolution of configuration management and automation, how their careers have overlapped and diverged, and what they envision for the future of cloud and ops.