In today’s high-paced business world, corporate anxiety and productivity anxiety have become increasingly common, affecting employees and leaders alike. As organizations grow and expectations rise, the pressure to consistently deliver results can quickly lead to stress, burnout, and inefficiency. The overwhelming demand to perform can drive individuals to work longer hours and make hasty decisions, often without gaining any real control over their workspace.

As remote work and digital collaboration become increasingly prevalent, businesses are turning to virtual assistants (VAs) to streamline operations, reduce overhead costs, and boost productivity. Virtual assistants can handle a wide range of tasks, from administrative duties to specialized project support. However, effectively managing VAs requires intentional planning, the right tools, and clear communication to ensure tasks are completed on time and align with business goals.

As businesses evolve, so too do the demands placed on departments and teams. Whether you're in a shared services environment or leading a specialized department, scaling effectively means adding capacity without sacrificing quality or performance. When done right, growth can accelerate productivity, align team goals with the company’s objectives, and foster innovation. However, to do this efficiently, you need the right processes and tools in place.

Go, often referred to as Golang, is a popular programming language built by Google. Its design and structure help you write efficient, reliable, and high-performing programs. Often used for web servers and rest APIs, Go offers the same performance as other low-level languages like C++ while also making sure the language itself is easy to understand with a good development experience.

By now, you should be no stranger to Autonomic IT. The full realization of AIOps, combining AI, data, and automation to deliver a self-healing and self-optimizing IT infrastructure that operates autonomously, continuously monitoring and optimizing technology investments, and freeing up IT resources for innovation is on the horizon. In our first blog, we discussed Phase 1 of the Autonomic IT journey: Siloed IT.

JFrog has long supported standards widely used by developers, including OCI container images. We started with our OCI-compliant Docker registry, then followed up with dedicated JFrog Artifactory OCI repositories. In our continued commitment to developer freedom of choice, we’re excited to take another leap forward. JFrog is now fully conformant to OCI v1.1. Source: OCI Conformance Page JFrog is now fully certified to the OCI v1.1 standard.

Tiered storage is now generally available in Aiven for ClickHouse. Combine the speed of ClickHouse with the cost optimization of object storage for a powerful data warehouse solution. ClickHouse combines its columnar design, industry leading compression, and blazing fast queries to make it one of the most performant data warehouse solutions available. Aiven for ClickHouse takes this a step further with tiered storage, now generally available in the Aiven console.

Connecting these two leading data center providers can supercharge your network efficiency. Here are three ways to do it. It doesn’t matter what size your business is – the ability to seamlessly transfer and manage data across multiple locations is crucial for uninterrupted productivity. A common use case network managers want to implement is connecting their Equinix and Digital Realty data centers.

As organizations modernize their applications and deliver more complex, cloud-based services, the traditional boundaries between DevOps, SecOps, and ITOps are disappearing. Seamless collaboration between these teams, often referred to as DevSecOps, has become essential for efficiently addressing both reliability and security challenges.

In today’s complex cloud environments, traditional network visibility tools fail to provide the necessary context to understand and troubleshoot application performance issues. In this post, we delve into how network observability bridges this gap by combining diverse telemetry data and enriching it with contextual information.