Middleware.io
Better Stack
Zipy
Sentry.io
Grafana
Phare.io
Scoutflo
SigNoz
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
Middleware is an end-to-end cloud observability platform to brings all metrics, logs, and traces in one unified timeline to debug issues faster. It helps you un-silo your data and insights from all your containers, empowers your developers and DevOps to identify root causes, and solves issues in real-time.
With our unified view of metrics, logs, traces, and events, we accelerate troubleshooting and provide AI-driven insights for better infrastructure and application performance.
Key Features: * Infrastructure, Kubernetes, APM, Database, Log, Synthetic and Browser Monitoring * Custom Dashboards and Alerting * AI-Based Advisor Provides Insight and Suggestions * Unified Dashboard
Businesses of all sizes use our platform to reduce downtime and improve the user experience.
Middleware.io DatabricksBased on our record, Databricks seems to be a lot more popular than Middleware.io. While we know about 18 links to Databricks, we've tracked only 1 mention of Middleware.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Middleware.io - Middleware observability platform provides complete visibility into your apps & stack, so you can monitor & diagnose issues at scale. They have a free forever plan for Dev community use that allows Log monitoring for up to 1M log events, Infrastructure monitoring & APM for up to 2 hosts. - Source: dev.to / over 2 years ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 4 years ago
Better Stack - Everything you need to ship higherโquality software faster.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Zipy - Zipy is a debugging and prioritization platform that provides user session replay, frontend and network monitoring in one.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.