There’s a big difference between the MySQL database powering your internet of things (IoT) lightbulb and the one powering your website. There’s a chasm between the SQL Server Express database in your lightly used application’s VM and the monster multi-region SQL cluster you have running on Microsoft Azure. This kind of database diversity is everywhere today. But what are the differences between these databases, and how can administrators justify database spend?

First, thanks for indulging the clickbait title joke. Serialization is the unsung hero of harmonizing network and application relations and deserves the occasional, snarky callout. Moreover, identifying how the unique mix of network clients in your environment consume your carefully manicured infrastructure is critical for managing network cost. Because today, a rapidly expanding, diverse pile of new technologies all assume the network is a magic grid, no tuning required.

To continuously innovate, many organizations are anchoring their infrastructure on container management solutions. The open source project Kubernetes is now the de facto standard for container management, and its popularity is growing in a number of ways. Here are some stats from a recent Cloud Native Computing Foundation (CNCF) survey.

I have recently seen quite a few articles and talks covering why organizations are aiming at implementing a developer platform to help speed up the adoption of microservices within their organizations but before we get started on discussing what a developer platform is, the developer experience and productivity on Kubernetes, and how different teams are working through it, let’s define some common ground.

Firstly, super excited to share that CloudHedge has successfully completed the IBM Cloud Paks certification, IBM has some stringent requirements for achieving this certification which includes having an Operator certified product listed on Red Hat Marketplace. CloudHedge’s intelligent App Modernization Platform enables enterprise customers to transform their legacy workloads to OpenShift container platform efficiently and effortlessly.

Template variables enable you to use tags to filter your Datadog dashboards to the hosts, containers, or services you need for faster troubleshooting. However, there are some cases where it may be difficult to use a standard set of template variables to aggregate all of the data you need without creating a complicated, difficult to manage set of variables. For example, you may use tag values that are a subset of another tag.

Blameless recently had the privilege of hosting SRE leaders Garima Bajpai, Founder at Community of Practice - DevOps Canada and Jason Fraser, Delivery Lead at VMware Tanzu to discuss the value of crisis during incident response, the best and worst tech transformations they’ve seen, how reliability impacts the flow of value, and more.

The HAProxy Data Plane API 2.3 expands its service discovery mechanisms and introduces native support for discovering AWS EC2 instances and auto-scaling groups. It also adds a new configuration file that supports HCL and YAML, an Inotify configuration watcher, and Syslog support. HAProxy Data Plane API version 2.3 is now available and you will find it in the 2.3 version of the Alpine Docker image.