Welcome to the thrilling era of cloud computing, where digitization is no longer a trendy phrase but an operational reality for numerous businesses. Among the key players in this transformative phase, Microsoft Azure has carved a niche for itself. Known for its powerful and dynamic infrastructure, Azure leads the way in delivering exceptional cloud services.

In the epic struggle against spiraling cloud costs, the only durable solution is automated optimization. The manual engineering efforts that most people call “cloud cost optimization” these days can be time-consuming and tedious, if not impossible at the scale at which modern data stacks operate. Moreover, they redirect valuable human resources away from technical innovation.

AJ Stuyvenberg is a Staff Engineer at Datadog and an AWS Serverless Hero. A version of this post was originally published on his blog. In AWS Lambda, a cold start occurs when a function is invoked and an idle, initialized sandbox is not ready to receive the request. Features like Provisioned Concurrency and SnapStart are designed to reduce cold starts by pre-initializing execution environments.

Grafana Labs has always been actively involved in the OpenTelemetry community, even working with the predecessor projects OpenTracing and OpenCensus. We have been supporting OTLP as the primary input protocol for our distributed tracing project, Grafana Tempo, since its inception, and our Grafana Agent embeds parts of the OpenTelemetry Collector.

Cloud storage involves storing your data on a server that belongs to a third-party cloud service provider (CSP) rather than on-premises. Because many CSPs have large numbers of servers available, it tends to be more cost effective to pay a recurring fee for off-site storage rather than storing all of your files locally. Additionally, many organizations use cloud backups to save space in local storage and to improve accessibility and availability.

Zero Trust is a heightened security measure that blocks people and devices from accessing company data by default, only allowing access to those who prove they require it. Zero Trust assumes restricted access to company resources by all: Anyone or anything accessing company resources requires verification each time the system is accessed. There are no options to “trust this device next time” or “save password for next time”.

In today’s rapidly evolving digital landscape, organizations heavily rely on their applications and systems to deliver optimal performance. As such, driving down the key metric of Mean Time to Resolution (MTTR) is clearly one of the biggest challenges facing observability practitioners today.

Welcome back to our Everyday Use Case series, where we continue to explore the real-world workflows for GitKraken Workspaces and show you practical ways to make routine tasks faster and simpler. In our previous article, we unpacked how GitKraken Workspaces simplifies the onboarding process for new team members in complex multi-repo projects. Now, we shift our focus to another crucial element of project development: Team Collaboration.

When working with sensitive data, there’s no skimping on security. Keeping data protected and private is paramount at Cribl, which is why we prioritized building a robust framework for Role-Based Access Control (RBAC), and with this latest release, we created an authorization system across the entire Cribl suite. WOOHOO!!

One of Netreo’s hallmark features is automated device discovery, onboarding and configuration. When you first fire up Netreo, it searches your entire infrastructure to identify and add devices for your monitoring needs.