Better Stack
UptimeRobot
Pingdom
StatusCake
Uptime Kuma
Better Uptime
Uptime.com
Site24x7
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
Better Stack is an eBPF-based, AI SRE observability tool that helps you ship higher-quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Connect your Kubernetes or Docker clusters to gather logs, metrics, and network traces with eBPF. No code changes required.
Better Stack Apache StormBetter Stack's answer
Engineering teams of all sizes โ from startups to Fortune 500 companies.
Better Stack's answer
Better Stack is a modern observability tool that leverages eBPF and OpenTelemetry to make tracing work for you.
Better Stack's answer
We are software builders at Better Stack.
CEO is a software engineer, COO is a software engineer and you guessed it; CTO is an engineer, too.
Weโre helping developers ship higher quality software faster.
Better Stack's answer
You get an unrivaled price-to-performance ratio. Forget sampling and ingest all your data, or decrease your costs by 30x.
Better Stack's answer
The primary technologies used to build Better Stack are eBPF for low-level, high-performance instrumentation and ClickHouse for storing and querying large volumes of observability data efficiently.
Based on our record, Better Stack should be more popular than Apache Storm. It has been mentiond 22 times since March 2021. 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.
Better Stack bundles uptime monitoring, incident management, on-call scheduling, log management, and status pages into one dashboard. For cloud monitoring, it sits closer to the external/uptime layer than to deep infra telemetry. It watches your cloud-hosted endpoints, collects logs, and gives you on-call and a status page without stitching together separate products. - Source: dev.to / about 1 month ago
Better Stack | https://betterstack.com/ | /^Full-?stack Engineer$/i | Remote (North America & Europe) We are software builders at :heart: CEO is a software engineer, COO is a software engineer, and you guessed it, CTO is an engineer, too. We are engineers, making the tools we always wanted. If you love building amazing software, you're at the right address. We are looking for software engineers who, given enough... - Source: Hacker News / about 1 month ago
Better Stack bundles uptime, real Playwright/Chromium browser checks, incident management, on-call, logs, and status pages in one product โ and its native on-call and escalation are the best in this list. You author in JavaScript or paste from Playwright codegen, and you get trace-viewer artifacts on failure, an MCP integration, and a Terraform provider. - Source: dev.to / about 2 months ago
Better Stack (formerly Better Uptime + Logtail) is the most ambitious all-in-one in this list โ it bundles uptime monitoring, on-call scheduling, incident management, status pages, AND log management into a single platform. If you want one vendor for your entire observability and incident communication stack, this is the closest thing to that vision. - Source: dev.to / about 2 months ago
Better Stack (formerly Better Uptime + Logtail) is an all-in-one reliability platform combining uptime monitoring, on-call scheduling, incident management, status pages, and log management in a single product. The pitch is eliminating the patchwork of 3โ5 tools most teams cobble together โ monitoring, PagerDuty, Statuspage, and a log aggregator โ into one coherent system. - Source: dev.to / about 2 months ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 3 years ago
Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 3 years ago
Storm, a system for real-time and stream processing. - Source: dev.to / over 3 years ago
Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: almost 4 years ago
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 4 years ago
UptimeRobot - Free Website Uptime Monitoring
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Pingdom - With website monitoring from Pingdom you will be the first to know when your website is down. No installation required. 30-day free trial.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
StatusCake - Website Uptime Monitoring & Alerts โ Free Unlimited Downtime Monitoring
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.