Operations | Monitoring | ITSM | DevOps | Cloud

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How to Deploy Amazon Bedrock Using AWS Direct Connect and Megaport

Discover how you can use Megaport to access Amazon Bedrock via AWS Direct Connect for secure AI connections. Based on our recent conversations with networking teams and AWS users, 2025 is the year for implementing AI rather than just talking about it. But for many organizations starting their generative AI journey, a major concern is keeping data secure and private when it’s used for model tuning. This is just what Amazon Bedrock was made for.

Heroku Vs. AWS: Which Cloud Solution Fits Your Development Needs?

It’s often said that Heroku is ideal for developers who prioritize rapid and straightforward application deployment. Meanwhile, AWS is seen as the ideal choice for applications requiring advanced scalability and intensive performance. Yet, as both platforms have evolved, their offerings have expanded, and some overlaps have emerged, making it more challenging to distinguish their strengths and limitations.

What's New: Supercharge workflows with Message Templates

We’re excited to introduce Message Templates, a powerful new feature designed to streamline communication and ensure consistency across teams. With pre-configured templates curated by Enterprise Administrators, OnPage phone app users can now send standardized messages with just a few taps—saving valuable time and reducing the risk of miscommunication in critical situations.

Why Data Tiering is Critical for Modern Security and Observability Teams

In today's digital landscape, security and observability teams face an unprecedented challenge: managing massive volumes of data while maintaining both performance and cost-effectiveness. As organizations generate more data than ever before, the traditional approach of storing everything in high-performance, expensive systems is becoming unsustainable. How will your team evolve how it manages and uses telemetry data across the enterprise?

Reimagining Log Management Tools and Software: The Impact of AI and GenAI

Today’s distributed, cloud-native systems generate logs at a high rate, making it increasingly difficult to derive actionable insights. AI and Generative AI (GenAI) technologies—particularly large language models (LLMs)— are transforming log management tools by enabling teams to sift through this data, identify anomalies, and deliver real-time, context-rich intelligence to streamline troubleshooting.

Enhancing Your Developer Experience: New SDKs for TypeScript, Go, and Terraform and Improved API Documentation

We built FireHydrant to be the kind of platform we’d want to use as developers, giving you the same tools and flexibility we rely on every day. With over 350 publicly accessible API endpoints, we’ve always believed in giving developers the power to customize and extend our platform to meet their exact needs.

The problem with traditional log management

Logs are everywhere and contain valuable information that can make or break everything from security investigations to avoiding an outage, but legacy log management systems are inefficient for modern organizations generating more data than ever before. Sr. Director of Technical Marketing Adam White offers guidance on the pitfalls of traditional log management and what your organization can do today to jumpstart your digital transformation journey!

The power of cloud native observability

Unstructured data clouding your observability goals? Learn why monitoring alone cannot solve business-critical performance issues as Sr. Director of Technical Marketing Adam White explains how combining structured and unstructured data with real-time analytics unlocks dynamic insights into root cause analysis and performance management in the cloud.

Micro Lesson: Introduction to Sumo Logic Mo Copilot

The video introduces Sumo Logic's Mo Copilot, an AI-powered assistant that simplifies complex query creation using natural language, making it accessible for users of all skill levels. Mo Copilot enhances productivity by providing AI-driven insights and recommendations, allowing teams to detect and resolve incidents more efficiently. It consolidates logs into a unified view, improving collaboration and decision-making. Overall, Mo Copilot transforms the way security and development teams work with data.