In 2008, Netflix was struck by a disaster. A fast-growing global streaming service was well on its way to transform the entertainment industry when the management faced a problem exposed by a data center failure. Even though it was a single issue, it shut the entire service down, depriving the company of millions in profits and effectively ending the shipments of DVDs (they were still a thing in 2008).
In the first part of our AWS S3 series, we discussed what AWS S3 buckets are, the difference between S3 and EC2s, advantages of AWS S3 object storage, and AWS S3 API integration. In this next post, we’ll be covering AWS S3 Monitoring, including the importance of leveraging data and monitoring metrics, and how Sumo Logic provides insight into your infrastructure with S3 logs.
Information and insight gathered from data delivers tremendous value. But data isn’t helpful if you’re drowning in it! For a while, three open source projects, Elasticsearch, Logstash, and Kibana (together known as the ELK Stack), were touted as the fastest and most cost-efficient approach to managing log and event data.
.NET Profilers are a developer’s best friend when it comes to optimizing application performance. They are especially critical when doing low level CPU and memory optimizations. But did you know that there are three different types of profilers? All are very valuable but serve relatively different purposes and different types of performance profiling. Let’s explore the different types.
You have Gigabytes or Terabytes of logs coming in on a daily basis, but now what do you do with them? Should I keep 10 days, 30 days or 1 year? How do I rotate around my logs and configure them in Graylog? Let's talk about the best practices around log retention and how to configure them in Graylog. Log rotation can be done for various reasons ranging from meeting a compliance goal, keeping the size of the index down for faster searches or to get rid of data after a set amount of time.
Today I am very excited to announce that Rancher Labs’ Project Longhorn has been accepted by the Cloud Native Computing Foundation as a sandbox project. Many Kubernetes users still find it challenging to run stateful workloads and manage persistent storage. Longhorn aims to help you manage stateful workloads in Kubernetes by providing a solution for persistent storage that you can easily deploy, use, and manage.
We’re excited today to release the Sysdig 2019 Container Usage Report. Continued momentum for Kubernetes and greater adoption of cloud-native architectures are changing not just usage patterns, but processes and organizational structures as well. One of the surprising insights this year is the 2X increase in the number of containers that live for less than five minutes. As services grow more dynamic, cloud teams are recognizing the need to integrate security into their DevOps processes.
In this blog post, you’ll learn how to setup image scanning for Azure Pipelines using Sysdig Secure DevOps Platform. Azure DevOps gives teams tools like version control, reporting, project management, automated builds, lab management, testing, and release management. Azure Pipelines automates the execution of CI/CD tasks, like building the container images when a commit is pushed to your git repository or performing vulnerability scanning on the container image.
Amazon RDS allows you to easily run databases in AWS without actually having to manage database servers. Since your databases are critical to the health of your application, properly monitoring RDS is a top priority for most teams. In this blog post, we will go over how Blue Matador monitors RDS automatically and without configuration.
