With great power comes great… complexity? When we introduced Grafana Alerting a few years ago, it included a powerful routing feature that teams could use to send alerts to various contact points. Unfortunately, this functionality also came with a fair bit of complexity and an unfamiliar UX. This prevented many users from adopting it, but we’re still big believers in how it can help users.

Jenkins pipelines play a pivotal role in achieving continuous delivery in software development processes. Continuous delivery (CD) is a software delivery approach aimed at ensuring that code changes are systematically and automatically prepared for release to production. In modern software development practices, CD pipelines streamline the process of building, testing, and deploying software, enabling organizations to accelerate software delivery and provide value to its customers.

The CSRD marks a paradigm shift from preceding directives, introducing stringent reporting standards aimed at enhancing the quality, comprehensiveness, and consistency of sustainability reporting. Unlike its predecessors, the CSRD mandates specific disclosure formats and standards, emphasizing the concept of “double materiality” – requiring companies to address both their environmental impacts and climate-related risks comprehensively.

🚨 To read the full findings from this research, visit The Machine Learning State of Play 2024 white paper. Are the challenges of deploying machine learning (ML) overshadowing its true potential in the modern workplace? Through our recent white paper , we spoke to 500+ developers who have experience working with ML systems to gain an understanding of the pain points faced by developers when using ML solutions.

There’s a common misconception about running workloads in the cloud: the cloud provider is responsible for reliability. After all, they’re hosting the infrastructure, services, and APIs. That leaves little else for their customers to manage, other than the workloads themselves…right?

As the automation of processes and deployment becomes more prevalent in the manufacturing industry, the need for IT services grows further. The use of complex systems and technologies, such as AI and robotics has become the new normal for manufacturing organizations.

Our plans now include a specific timeframe of historical data that varies depending on the tier you choose. This change ensures that customers on our higher tier plans get even great visibility into the past performance of their vendors. Previously, historical data access was limited to your date of sign up. Existing customers automatically receive either their existing historical data limit OR the new limit, whichever is greater.

Proponents of microservices claim more development velocity and reliability; more comprehensive test and vertical or horizontal scale with a container orchestrator; tons of flexibility around tool choice. They’re not wrong: When you build with a microservices architecture, you’re likely going to see cost improvements early in your software development life cycle (SDLC), driven mostly by the decoupling of services.

With the cybersecurity landscape evolving rapidly, Managed Detection and Response (MDR) has emerged as a major component for MSPs looking to safeguard organizations against increasingly sophisticated threats. However, despite its growing importance, there are still a number of misconceptions around the technology that can hinder its adoption. In this blog, we challenge some of these myths and highlight the significance of MDR in today’s IT environments, particularly for MSPs.

Search powered AI and developer tools built for speed and scale Daily breakthroughs in large language models (LLMs) and generative AI have put developers at the forefront of the movement, influencing its direction and possibilities. In this blog, I’ll share how Elastic's search customers are using Elastic's vector database and open platform for search powered AI and developer tools to accelerate and scale generative AI experiences, giving them new avenues for growth.