Operations | Monitoring | ITSM | DevOps | Cloud

s3gw is an S3-compatible service, focused on deployments in a Kubernetes environment backed by any PVC, including Longhorn (https://longhorn.io). Since its inception, the primary focus has been on Cloud Native deployments, however, the s3gw can be deployed in a myriad of scenarios, provided there is some form of storage attached.

We talk to a lot of the top research firms about our business and the evolving space of observability so we are honored to be awarded the Fall 2022 Intellyx Digital Innovator Award. Intellyx focuses on enterprise digital transformation and the leading edge innovators helping to drive change in the enterprise IT marketplace. They give this award to vendors who make it through its rigorous selection process and deliver a successful briefing. The award is not based on being a client.

Here at Cribl, we’re big on GoatFooding. We not only prepare but consume our own products, in our own products. Today we’ll pull back the curtains to shine a light on how we use Cribl products within our Cribl.Cloud service. Cribl is a pioneer in the observability space, so what better way to use our products than by observing Cribl.Cloud?

Critics of open source software have long argued that giving everyone access to a project’s source code creates security issues. But in active projects with highly engaged communities, the opposite is actually true: Open source software helps organizations become more secure. That said, any piece of technology can be exploited.

Driven by customer demand, automation has enabled great strides in enterprise networking. Network-as-a-Service (NaaS) has unlocked the ability for organisations to set up and tear down links between assets and scale bandwidth in real-time, matching the capabilities of the cloud. But in the back end, especially when it comes to settlement, many service providers still rely on manual processes, and this is where blockchain innovation offers much promise.

Profiling is an important tool in every developer’s toolkit because it provides a granular view into the execution of your program from your production environment. This is an important concept, as performance bottlenecks can often be very hard or even impossible to reproduce locally due to external constraints or loads only seen in a production environment.

When there is a new product on the market and the marketing of the said product, you will acquire new customers. It is simple enough to expand your customer base. But how do you ensure they remain your customers for life? Studies show that acquiring new customers is more expensive than retaining existing ones. So, customer retention plays a vital role in helping your profit margins. It follows that when customers are loyal, they deserve to be appreciated.

People often ask us, “What is the best query language to use with InfluxDB?” The answer to this question has evolved a bit over the years – and the current answer might surprise you.

Moogsoft pioneered AIOps, essentially inventing the market 10 years ago. It is worthwhile revisiting why we did that to understand where we are going. My background is as the founder and inventor of Micromuse Netcool, and the RiverSoft’s OpenRiver technology.

As a cloud product manager, much of our jobs center around creating KPIs (or OKRs, if you prefer) such as sales revenue, freemium conversions, or customer stickiness, and encouraging development teams to hit product performance goals. But what happens after those goals have been met? Do we create new KPIs and push forward, or do we take a step back and evaluate whether each indicator actually translates to higher profit for the business?