Operations | Monitoring | ITSM | DevOps | Cloud

In this digital era, applications are used on a daily basis to make our life easier. A lot of software applications are launched every day, continuously increasing competition in the market. There are thousands of applications available for a task. But, the success of any application highly depends on its performance. A good-performing application provides a flawless user experience to the customers. Ultimately, making performance a crucial metric for benefitting the company owning the software product.

FlashDrive.io apps can communicate with each other inside the same stack using FlashDrive's internal network capabilities: an ultra-fast internal network between apps installed inside the same cluster.

The question that people who don’t know us constantly ask, “What does Upsun do, exactly?” Our new overview video aims to answer just that. We took a five-step approach to ensure our message was both clear and succinct: We hope that this video addresses the question about what Upsun does and inspires you to use the same five-step framework when you’re tasked with explaining a difficult concept.

“Service outage! Help!” These words (or their variations), have preceded notable losses of millions and billions of dollars in the 21st century. From large corporations to SMBs, no one is immune to the effects of downtime – whether planned or unplanned. However, the earlier an issue is noticed, the faster it is acted upon and resolved, resulting in little or no customer impact.

Follow these steps to write a great SRE job resume.

Stanza is a robust log agent. GCP users can use Stanza for ingesting large volumes of log data. Before we dive into the configuration steps, here’s a matrix detailing the functional differences between all the common log agents used by GCP users. Stanza was built as a modernized version of FluentD, Fluentbit, and Logstash. GCP users now have the ability to install Stanza to their VMs/ GKE clusters to ingest logs and route them to GCP log explorer.

Implementing SLAs, SLIs, and SLOs in an observability suite is now business-critical. Over time, a company’s decision-makers can add a burdensome number of KPIs that force servers and other IT assets to devote excessive processing time to business intelligence. Eventually, the burden becomes so great that employees, managers, and executives start to complain about the system’s sluggishness. Developers know that they need to strike a balance between business needs and IT processes.

Some DBAs object to moving from on-prem (or self-hosted) to managed services. We hear you, but read this post to find out our side of the issue.

Over the past decade, businesses have flocked to the public cloud, with the promise of faster innovation, improved scalability — and of course, cost savings. Yet for many companies, the reality of cloud migration has been a different story. CFOs are blindsided by high costs and uncontrolled spending. Meanwhile, engineering teams struggle to justify and explain their spend — often frustrated that finance doesn’t understand, even when spend is growing healthily along with the business.

First, I’d like to say that pager duty isn’t something we should treat like chronic pain or diabetes, where you just constantly manage symptoms and tend to flare-ups day and night. Being paged out of hours is as serious as a fucking heart attack. It should be RARE and taken SERIOUSLY. Resources should be mustered, product cycles should be reassigned, until the problem is fixed.