Recently, I had a scenario in which it was necessary to access the content of the source JSON message and extract a property that contains a date-time. That property was in the last object (a repeating object) for control purposes, and my first idea was to get it done with Azure Function and that’s it. But then I was thinking, if I need to use Function for all these simple tasks, what’s the point?

For those who don't know me, I'm a former SCOM admin, and I blog regularly about monitoring and co-organise Experts Live India each year. As one of SquaredUp's tech evangelists, I've recently taken on the task of figuring out Azure Monitor and documenting my journey so that others can find my — sometimes torturous — journey less taxing. This write-up is for you, hope you enjoy!

Is your organization going through a DevOps transformation? Perhaps you’ve even been tasked to head up the project. And surely, part of this transformation is going to include source control management. More and more enterprise companies are using Git to manage their code and file changes. One of the most popular Git hosting services for large teams, particularly those partial to Microsoft’s robust suite of developer tools, is Azure DevOps.

The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.

With Elastic App Search, you can easily add rich, powerful search to your website, applications, or mobile apps. And now you can deploy directly from the Elastic Cloud. App Search is built on top of Elasticsearch, meaning that it’s highly scalable and fast. It comes out of the box with pre-tuned relevance, but gives you plenty of user-friendly options for fine-tuning results to customize the search experience.

Today we’re excited to announce the general availability of InfluxDB Cloud for Google Cloud. With this new service, GCP users can now use our leading time series data platform on Google infrastructure. This lets you address a wide range of use cases: server monitoring, IoT sensor data tracking, real-time customer analytics, application performance metrics, network monitoring, security threat detection, and financial market analysis.

SAN FRANCISCO — February 4, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the availability of InfluxDB Cloud on Google Cloud. The strategic collaboration, originally announced in April 2019, is part of a major Google Cloud initiative to make the most powerful open source technologies more accessible to its customer base.

The promise of Cloudsmith is simple. We ensure development teams have access to the packages they need, when they need them. And we do that through a private, cloud-based repository that can help shield the business from malware, security and licensing concerns related to the use of third party software packages, whilst giving you total control over access to your own packages.

Orchestrating and composing multiple services in a distributed architecture is not easy. Before we move along with the great solution offered by vending-machines to our distributed architectures, we need to understand what solutions and values we’re looking for. In a serverless environment, there are at least three desired properties of any distributed services implementation.