Introducing Personalized Service Health: Upleveling incident response communications
Personalized Service Health sends custom granular alerts about Google Cloud service disruptions, and integrates with incident management tooling.
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Introducing the revamped Team Catalog
We've upgraded the Team catalog experience with the same level of dimensionality as the Services, Resources, and Domains Catalogs. Now users can add more information about teams like relevant custom data, links, and integrations, and drill down into aggregate team activities and performance.
Introducing: The Support Center
The Knowledge Base has had an upgrade, introducing our new Support Center! The Support Center is packed with tonnes of useful information to help you make the most of the RapidSpike platform.
Troubleshooting ECS Container Crashes
Amazon Elastic Container Service (ECS) is a versatile platform that enables developers to build scalable and resilient applications using containers. However, containerized services, like Node.js applications, may face challenges like memory leaks, which can result in container crashes. In this blog post, we’ll delve into the process of identifying and addressing memory leaks in Node.js containers running on ECS. First, let’s look closer at what a memory leak is.
Dark Data: Discovery, Uses, and Benefits of Hidden Data
Dark data is all of the unused, unknown and untapped data across an organization. This data is generated as a result of users’ daily interactions online with countless devices and systems — everything from machine data to server log files to unstructured data derived from social media. Organizations may consider this data too old to provide value, incomplete or redundant, or limited by a format that can’t be accessed with available tools.
Data Lakes Explored: Benefits, Challenges, and Best Practices
A data lake is a data repository for terabytes or petabytes of raw data stored in its original format. The data can originate from a variety of data sources: IoT and sensor data, a simple file, or a binary large object (BLOB) such as a video, audio, image or multimedia file. Any manipulation of the data — to put it into a data pipeline and make it usable — is done when the data is extracted from the data lake.
Discover what's driving the recognition behind BigPanda's AIOps innovations
Every day, BigPanda is transforming the way our customers operate. Our advanced AIOps technology redefines incident management, prevents service disruptions, and elevates customer satisfaction – and I couldn’t be more thrilled to see industry experts take notice. I’m particularly proud to see BigPanda mentioned in nine of the highly esteemed 2023 Gartner Hype Cycle reports.
Send your logs to multiple destinations with Datadog's managed Log Pipelines and Observability Pipelines
As your infrastructure and applications scale, so does the volume of your observability data. Managing a growing suite of tooling while balancing the need to mitigate costs, avoid vendor lock-in, and maintain data quality across an organization is becoming increasingly complex. With a variety of installed agents, log forwarders, and storage tools, the mechanisms you use to collect, transform, and route data should be able to evolve and adjust to your growth and meet the unique needs of your team.
Integration roundup: Monitoring your AI stack
Integrating AI, including large language models (LLMs), into your applications enables you to build powerful tools for data analysis, intelligent search, and text and image generation. There are a number of tools you can use to leverage AI and scale it according to your business needs, with specialized technologies such as vector databases, development platforms, and discrete GPUs being necessary to run many models. As a result, optimizing your system for AI often leads to upgrading your entire stack.
Enhance code reliability with Datadog Quality Gates
Maintaining the quality of your code becomes increasingly difficult as your organization grows. Engineering teams need to release code quickly while still finding a way to enforce best practices, catch security vulnerabilities, and prevent flaky tests. To address this challenge, Datadog is pleased to introduce Quality Gates, a feature that automatically halts code merges when they fail to satisfy your configured quality checks.