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Crafting Prompt Sandwiches for Generative AI

Large Language Models (LLMs) can give notoriously inconsistent responses when asked the same question multiple times. For example, if you ask for help writing an Elasticsearch query, sometimes the generated query may be wrapped by an API call, even though we didn’t ask for it. This sometimes subtle, other times dramatic variability adds complexity when integrating generative AI into analyst workflows that expect specifically-formatted responses, like queries.

How to Tackle Spiraling Observability Costs

As today’s businesses increasingly rely on their digital services to drive revenue, the tolerance for software bugs, slow web experiences, crashed apps, and other digital service interruptions is next to zero. Developers and engineers bear the immense burden of quickly resolving production issues before they impact customer experience.

Why we generate & collect logs: About the usability & cost of modern logging systems

Logs and log management have been around far longer than monitoring and it is easy to forget just how useful and essential they can be for modern observability. Most of you will know us for VictoriaMetrics, our open source time series database and monitoring solution. Metrics are our “thing”; but as engineers, we’ve had our fair share of frustrations in the past caused by modern logging systems that tend to create further complexity, rather than removing it.

Announcing Easy Connect - The Fastest Path to Full Observability

Logz.io is excited to announce Easy Connect, which will enable our customers to go from zero to full observability in minutes. By automating service discovery and application instrumentation, Easy Connect provides nearly instant visibility into any component in your Kubernetes-based environment – from your infrastructure to your applications. Since applications have been monitored, collecting logs, metrics, and traces have often been siloed and complex.

The Uphill Battle of Consolidating Security Platforms

A recently conducted survey of 51 CISOs and other security leaders a series of questions about the current demand for cybersecurity solutions, spending intentions, security posture strategies, tool preferences, and vendor consolidation expectations. While the report highlights the trends around platform consolidation over the short run, 82% of respondents stated they expect to increase the number of vendors in the next 2-3 years.

Pipeline Efficiency: Best Practices for Optimizing your Data Pipeline

Data pipelines are the foundational support to any business analytics project. They are growing more critical than ever as companies are leaning on their insights to drive their business: 54% of enterprises said it was vital to their future business strategies. Data pipelines play a crucial role as they perform calculations and transformations used by analysts, data scientists, and business intelligence teams.
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5 ELK Stack Pros and Cons

Is your organization currently relying on an ELK cluster for log analytics in the cloud? While the ELK stack delivers on its major promises, it isn't the only search and analytics engine - and may not even be your best option for log management. As cloud data volumes grow, ELK monitoring can become too costly and complex to manage. Fast-growing organizations should consider innovative alternatives offering better performance at scale, superior cost economics, reduced complexity and enhanced data access in the cloud.

Flatten the SPL Learning Curve: Introducing Splunk AI Assistant for SPL

At.conf23, we announced the preview release of Splunk AI Assistant - Splunk's first offering powered by generative AI. This app offers an intuitive and easy-to-use chat experience to help you translate a natural language prompt into SPL query that you can execute or build on, all within a familiar Splunk interface. Splunk AI Assistant also explains what a given SPL query is doing in plain English with a summary as well as a detailed breakdown of the query.

How to Implement Cloud Cost Optimization in Observability

Although microservices and cloud architectures are the new norm for modern applications, cloud cost optimization could run high in observability. High costs are largely due to the number of components involved in cloud architectures. According to Cloud Data Insights in a recent report, around 71% of IT companies say that cloud observability logs are growing at an alarming rate— a driving factor for rising observability costs.