Operations | Monitoring | ITSM | DevOps | Cloud

In today’s modern age, the most crucial aspect of communication is expression. Various groups express their thoughts or feelings through their work. For example, painters express themselves through their paintings as well as singers express themselves through the way they sing. Writers might make you feel their thoughts while reading some of the articles or books they knew how to write primarily for their readers so the readers will understand their feelings and thoughts.

Earlier this year, we introduced the Grafana Cloud Agent, a subset of Prometheus built for hosted metrics that runs lean on memory and uses the same service discovery, relabeling, WAL, and remote_write code found in Prometheus. Thanks to trimming down to the parts only needed for interaction with Cortex, tests of our first release have seen up to a 40% memory-usage reduction compared to an equivalent Prometheus process.

Over the past year, we’ve talked to people building and operating the next generation of applications. Across the map, we saw cloud-native applications built upon an ever-increasing number of public cloud infrastructure APIs, tools, and managed services. Modern infrastructure lets anyone create automation, not just a few gatekeepers. This shift is powerful, but comes at the cost of complexity, which we built Relay to manage.

Mattermost Cloud offers our trusted Mattermost self-managed collaboration platform as a software-as-a-service and removes the burden of administration. Organizations are adopting cloud strategies and moving to cloud software. There are costs associated with hosting and securing software, especially in a highly available environment. Deploying and maintaining a self-hosted environment requires expertise and an upfront investment of infrastructure.

The concept of a microservice perfectly fits the structure of a serverless function, which easily enables deployment and runtime isolation for different services. On the storage side, services such as DynamoDB also make it easier to have independent databases for each microservice and scale them independently (when required or desirable). Before we dive into details, please consider whether the benefits of Microservices abundantly outweigh its disadvantages for your particular project and team.

Today, AWS has announced AWS Network Firewall: a new managed service that makes it easy to deploy essential network protections for Amazon Virtual Private Clouds (VPCs). As a launch partner, Splunk has worked closely with AWS to provide customers an integration to AWS Network Firewall. In today’s blog, co-authored by my esteemed colleague Anush Jayaraman, we’ll first detail the data flow architecture and your options to ingest the AWS Network Firewall data.

Oracle Cloud Infrastructure (OCI) is an infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) cloud used by enterprise-scale companies. With a full suite of services for hosting, storage, networking and more, OCI lets customers deliver, maintain, and scale secure, highly available applications. But as your cloud infrastructure becomes more complex, monitoring the full scope of activity across your services and accounts can be increasingly difficult.

AWS Network Firewall is a firewall for Amazon Virtual Private Cloud (VPC) with pluggable support for third-party intrusion detection systems like Snort and Suricata. Customers use AWS Network Firewall to guard against unwanted traffic to and from their VPCs.