As we explained in Part 1, it’s important to monitor task status and resource use at the level of ECS constructs like clusters and services, while also paying attention to what’s taking place within each host or container.
In Part 1, we introduced a number of key metrics that you can use for ECS monitoring.
Amazon Elastic Container Service (ECS) is an orchestration service for Docker containers running within the Amazon Web Services (AWS) cloud. You can declare the components of a container-based infrastructure, and ECS will deploy, maintain, and remove those components automatically.
The MEAN stack has become an increasingly popular choice for developing dynamic applications. Similar to other development stacks like LAMP and Ruby on Rails, MEAN bundles together complementary technologies to provide a ready-made framework for developing and serving applications.
We are excited to announce a new integration with CockroachDB, an open source distributed SQL database. CockroachDB assures ACID semantics and aims to make it easy to scale horizontally by adding nodes instead of manually sharding the database.
If you are familiar with instrumenting applications, you may have heard of OpenMetrics, OpenTracing, and OpenCensus. These projects aim to create standards for application performance monitoring and collecting metric data.
There were some big IT headlines this past year. Microsoft acquired GitHub and IBM bought Red Hat. Kubernetes graduated from the CNCF incubator program.
We are thrilled to announce Dash 2019, the second year of Datadog’s conference on building and scaling the next generation of applications, infrastructure, and technical teams.