Better Stack
UptimeRobot
Pingdom
StatusCake
Uptime Kuma
Better Uptime
Uptime.com
Site24x7
Apache Spark
Apache Flink
Hadoop
Apache Kafka
Apache Hive
Apache Storm
Splunk
Apache Airflow
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 SparkBetter Stack's answer
Engineering teams of all sizes โ from startups to Fortune 500 companies.
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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, Apache Spark should be more popular than Better Stack. It has been mentiond 80 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, 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 / 13 days 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 / 19 days 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 / 19 days ago
Better Stack (formerly known as Better Uptime) bundles uptime monitoring, status pages, on-call scheduling, and log management into a single platform. The free tier gives you a taste of each: 10 monitors, 1 status page, and 3 GB of log ingestion per month. For teams that want monitoring, incident management, and observability under one roof without paying for three separate tools, Better Stack's free tier covers... - Source: dev.to / 19 days ago
Better Stack bundles uptime monitoring, incident management, on-call scheduling, status pages, and log management into a single platform. For API monitoring, Better Stack offers HTTP checks with keyword matching, multi-step checks that chain requests and pass data between steps, and response time tracking across multiple global locations. - Source: dev.to / 19 days ago
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 1 month ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce runtime from hours to minutes. - Source: dev.to / about 2 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 3 months ago
For handling even larger datasets or building production applications, Apache Spark provides excellent Parquet support with distributed processing capabilities. - Source: dev.to / 4 months ago
You may want to consider renaming this project. The name "Spark" already refers to: A popular data analytics framework of the Apache Foundation: https://spark.apache.org/ A subset of the Ada programming language used for formal verification: https://learn.adacore.com/courses/intro-to-spark/chapters/01_Overview.html An Nvidia AI development system: https://www.nvidia.com/en-us/products/workstations/dgx-spark/. - Source: Hacker News / 6 months ago
UptimeRobot - Free Website Uptime Monitoring
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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.
Hadoop - Open-source software for reliable, scalable, distributed computing
StatusCake - Website Uptime Monitoring & Alerts โ Free Unlimited Downtime Monitoring
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.