Operations | Monitoring | ITSM | DevOps | Cloud

This article is a re-post of the article written by Matthew Gregory and published on the Ockam blog. Let’s investigate how to build applications with trusted time series data in a zero trust environment! To trust an application we need to trust the data that feeds into it. Increasingly, applications rely on time series data from outside the datacenter, at the edge, or in IoT. This means we need to think of trust and data in new ways.

We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.

In this article, we will discuss major features, differences, and similarities of the open-source monitoring tools known as Prometheus and Graphite. We will then dive into how you can benefit from MetricFire’s hosted Prometheus and Graphite. Lastly, we will explain why, given the choice, hosted Graphite could be a better monitoring option for you. MetricFire provides comprehensive monitoring solutions with Hosted Prometheus and Hosted Graphite.

Let’s face it. Once you have consumed your free credit, AWS costs an arm and a leg. This is the price to pay for high-quality services. But how can you reduce your costs without sacrificing quality? This post will show you how to reduce your bill by up to 60% by combining four built-in features in Qovery. There are three categories of costs on AWS. The “data transfer”, the “compute”, and the “storage” costs.

“Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application.” — “Serverless Computing”, Wikipedia This mundane description of serverless is perhaps an understatement of one of the major shifts in recent years.

In this post, I will show you, how to monitor your Website in just 2 simple steps.

Datadog’s features give you full visibility into every part of your application environment, so it’s likely you have many resources to switch between as part of your troubleshooting and development workflows. For example, you might switch from the host map to investigate a performance issue with your services in APM, or jump between dashboards to correlate metrics and troubleshoot a problem with your CI/CD pipeline.

We're excited to share some updates on what we've been working on at Taloflow. We've come a long way since we launched Tim - AWS cost management for developers, which was a finalist for Product Hunt Dev Tool of the Year. Since launch, we've had the opportunity to work with nearly 100 companies and developers. We've helped digital native companies like NS1, Bluecore and Modusbox save money, improve performance, and get a better grasp of their marginal costs on the cloud.

DevOps fits this odd niche between development and oversight. Like any “Wild West” type of position, pretty much anything goes. Your job is to think of everything including the stuff you haven’t thought of yet. You make the rules, and as long as the lights are on you’re considered a success. But alongside that freedom come the rumors and SLA myths that inspire such dread that you write them off as jokes.