Operations | Monitoring | ITSM | DevOps | Cloud

An overview of the benefits, challenges, and philosophy behind consolidating your observability tools Picture this: It's 3:00 a.m., and your phone is buzzing with alerts from what seems like a dozen different monitoring tools. As you blearily scroll through the notifications, you can't help but wonder, "How did we end up with so many tools, and why can't they just talk to each other?".

In the AI world, there’s a lot of buzz about creating custom large language models (LLMs) tailored for specific domains, perhaps for better security, context, expertise, or accuracy. It’s an appealing idea: What better way to solve your niche challenges than with a bespoke AI designed just for you? But here’s the thing — building a great LLM isn’t just challenging; it’s prohibitively expensive and resource-intensive.

Elastic Security is making your organization safer with general availability of our favorite AI features. Elastic Security is announcing the general availability (GA) of two of our most widely deployed generative artificial intelligence (GenAI) capabilities: Attack Discovery, launched in May, and Automatic Import, launched in August. Elastic’s AI-driven security analytics are providing immense value to many organizations.

Public sector organizations today face unique challenges in maintaining and optimizing their IT infrastructure and prioritizing efficiency and interoperability. With a mix of modern cloud and legacy systems, ensuring consistent performance, reliability, and security is paramount. To effectively observe across these environments, government agencies need observability tools that are open, flexible, and scalable. OpenTelemetry (OTel) is fast becoming a pivotal part of that flexible toolset.

Observability metrics provide insights into the performance, behavior, and health of applications, systems, and infrastructure — enabling observability practices, which is how a system’s internal state is understood by examining its data. As organizations continue to collect more and more data, observability metrics are a key telemetry signal for observability.

Digital customer experience is no longer a luxury but a necessity for European airlines. It drives customer satisfaction, enhances operational efficiency, and creates a sustainable competitive advantage. As the industry continues to evolve, airlines that prioritise investment in cutting-edge digital technologies and platforms will be better positioned to thrive in a dynamic and demanding market.

Logstash is a powerful tool for ingesting, transforming, and shipping data from various sources. Visibility into Logstash is critical for optimizing performance and troubleshooting issues related to data ingestion. We’ve greatly improved the Logstash integration to display the status of your Logstash nodes and pipelines at a glance. The integration is now powered by Elastic Agent, which queries Logstash monitoring APIs for data that populates managed dashboards.

Advancing digital transformation in government through Search AI and cloud innovation We’re thrilled to share that Elastic has achieved the AWS Government ISV Partner Competency. This prestigious designation recognizes Elastic as an Amazon Web Services (AWS) partner that has proven expertise in delivering high-quality solutions that help government agencies meet mandates, reduce costs, drive efficiencies, and boost innovation.

Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions — without managing infrastructure. Today, we are excited to announce the technical preview of Elastic Cloud Serverless on Microsoft Azure — now available in the EastUS region. Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions without managing infrastructure.

Transform your organization's observability strategy with open standards and simplified data collection Modern organizations face an unprecedented observability challenge. As systems grow more complex and distributed, traditional monitoring approaches are struggling to keep pace. With data volumes doubling every two years and systems spanning multiple clouds and technologies, organizations need a new approach to maintain visibility into their operations.