Operations | Monitoring | ITSM | DevOps | Cloud

There are almost as many reasons for learning FinOps practices as there are resources available to learn from. Maybe you operate a SaaS company, for example, or you're looking for a job in FinOps. The FinOps field grows in importance every time cloud services and their associated costs become more complex — which can feel like every single day. Regardless of your situation, you’ll need high-quality FinOps resources that offer up-to-date materials and in-depth information.

As technology improves and customer demands change, many companies must provide fast, engaging, and secure services. Developers rely on platforms that support sub-millisecond response times to power these capabilities in their applications. Amazon ElastiCache and Redis are two of the most popular platforms for building fast, highly available, and scalable data stores.

As you surely know by now, Internxt's mission is to create a world where technology truly empowers humanity. Tech corporations nowadays provide services where the user becomes the product. In direct contrast, we aspire to become a better, smarter, more compassionate company capable of competing with these giants by applying innovation more efficiently and ethically.

We have recently added the API Monitoring feature to Serverless360 and this opens up a wide range of monitoring opportunities. The principle of API Monitor is that you have an API endpoint that you want Serverless360 to periodically call and then you will make assertions against the response to check if the API is healthy or not.

With every new update and feature we introduced to our open source LGTM stack this year, we have also enhanced Grafana Cloud, our hosted offering that is powered by Grafana Loki for logs, Grafana for visualization, Grafana Tempo for traces, and Grafana Mimir for metrics. With Grafana Cloud, “we have curated the open source experience into an easy-to-use, opinionated, and integrated platform,” Grafana Labs VP of Technology Tom Wilkie said in the ObservabilityCON 2022 keynote.

There has been so much uproar about cloud computing in recent years, mostly due to its scalability, capability, and accessibility. Cloud computing is designed to provide constant access to data and applications for users, allowing them to have high bandwidth. Cloud architecture pertains to the diverse components, such as servers, software functionalities, and software solutions, used by all businesses to harness the efficiency of cloud resources.

For decades, network administrators have tried to combine and centralize compute power. And the premise behind cloud computing was to delegate your data storage, analytics, and computing intelligence to some remote data center instead of or in addition to these resources remaining solely on-premises. Nowadays, increased processing power is combining with increased demands on response time to reverse the process. This blog post will dive deeper into the resulting trend, called edge computing.

In a previous article, I discussed how you could use API Management as a proxy for the Serverless360 BAM API. In the real world, I have used this approach a few times because I prefer it to the custom connectors that you can use with Logic Apps which are sometimes painful to use from a DevOps perspective and have known performance limitations that can affect the latency and throughput for connections Logic Apps make to Cloud Services.