Operations | Monitoring | ITSM | DevOps | Cloud

How does one manage monitoring in the age of digital infrastructure as code? Also as code, of course! Combining HashiCorp Terraform Cloud and Checkly enables you to configure synthetic and API monitoring as part of your existing infrastructure codebase. It is flexible, programmable and will keep you out of maintenance hell, even at scale: it is monitoring for developers. Extending your existing Terraform Cloud configuration takes only two minutes. Let's take a look together.

Although it is not well known to the general public, virtualization technology is widely used in technical environments for being useful when carrying out multiple tasks and for the possibilities it offers for better resource usage. Virtualization technology software is increasingly used by professionals in the sector, having already become an essential tool for the work of many of them.

Building Site Reliability Engineering (SRE) teams is hard! There are so many articles and explanations of what SRE means, it’s easy to get lost. Going beyond understanding what the individual SRE role is into building and scaling a team of SREs is more of a challenge. It’s important to find the right information that will help you take your SRE team to the next level.

How do you handle deployment failures with a single-tenant database architecture? We’ve had a question come up from a couple of customers regarding an interesting use case with Redgate’s SQL Change Automation. In this scenario, customers say: A natural question that arises is what to do when a deployment fails against a single database. For example: One approach that seems simplest to folks is wrapping the entire multi-database deployment into a single transaction.

Using the cloud reduces on-premises infrastructure costs and related maintenance. Instead of deploying more servers, storage, and networking components to your own datacenter, you are now deploying these as cloud resources. Using the cloud is supposed to reduce infrastructure and maintenance costs. However, deploying cloud resources also risks over-commissioning, under-usage, and keeping resources running that are not always needed or, even worse, no longer in use.

We recently took a look at some of the repercussions of the global pandemic and how it has caused a dramatic shift in the way we work. In the second instalment of our predictions for 2021, we explore some of the longer term trends that will be top of mind for enterprises this year…

Both Graphite and InfluxDB are time-series monitoring data platforms, both of which have high levels of adoption throughout many industries. Both of them are suitable for enterprise use, are scalable, and are stable. That being said, there are some benefits and drawbacks to each. While InfluxDB has many benefits, many developers still prefer Graphite due to its large community, stability, and reliability.

In this article, we are going to see how we can integrate Google Cloud with Grafana. We will integrate Google Cloud SQL with Grafana and plot the metrics on Grafana. We will also look at how we can use Google Stackdriver as the data source in Grafana to expose the metrics of Google Cloud VM’s and platforms. To use Grafana immediately, we will be using Hosted Grafana by MetricFire.

Ketch (https://www.theketch.io) is an open-source application delivery framework for Kubernetes. YAML is a human-readable data-serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted. Customized YAML files are used by many for the complicated task of deploying to Kubernetes.