CloudRaft’s Post

CockroachDB’s regional survivability is made possible by replicating data across three regions. But we have often been asked, “What if we only have two data centers?” In CockroachDB 23.2, we introduced Physical Cluster Replication. This highly requested feature will allow enterprises with two data centers to survive full cluster failures with RPO (Recovery Point Objective) and RTO (Recovery Time Objective) measured in seconds rather than minutes. This is an incredibly impressive new capability that will allow even more companies to improve the resilience of their existing infrastructure. To see how it works, take a look at this technical demo by my colleague Rob Reid.

Day 79 - Prometheus 🔥 Read Latest Article : https://lnkd.in/eVxF3624 Today, I'm diving into Prometheus, an open-source system designed for monitoring services and sending alerts based on a time series data model. Prometheus excels in collecting data and metrics from various services, storing them with unique identifiers like metric names and timestamps. Tasks for the Day: What is the Architecture of Prometheus Monitoring? What are the Features of Prometheus? What are the Components of Prometheus? What database is used by Prometheus? What is the default data retention period in Prometheus? Excited to explore the capabilities and features of Prometheus and understand its impact on modern monitoring solutions! 🚀 #Day79 #DevOps  #Monitoring #Prometheus #OpenSource  #90DaysOfDevOps  #LearningJourney #Automation #TrainWithShubham #junoon 

🌐 During our hands-on webinar, you'll learn how to build scalable data pipelines with Kafka, Faust, Telegraf, and InfluxDB. Discover how digital twins of CSTRs boost operational efficiency in chemical processes. Don't miss out on next-gen IIoT insights from InfluxData DevRel, Anais Dotis 👉 https://bit.ly/40e3y7y #IIoT #InfluxDB #engineering

🔭 + 🔥 With the Prometheus 3.0 release, currently in the release candidate phase, it’s going to be easier than ever to store and query OpenTelemetry data inside Prometheus. In this blog, Arve Knudsen and Jesús Vázquez discuss how you can better integrate the two: https://bit.ly/48MaGu3

Have you heard of #OpenTelemetry? Just a few days ago, Grafana introduced Grafana Alloy, the successor to Grafana Agent. Learn more in our latest article! #alloy #grafana #observability #news #trend Grafana Labs https://lnkd.in/dGnWAeGU

What is Grafana Alloy? Learn more in our latest Skedler blog! #grafana #alloy #observability

🔍 Monitor Your Systems with Prometheus 🚀 Prometheus is a powerful open-source monitoring and alerting toolkit designed for reliability and scalability. Key features include: 🔹 Time-Series Database: Efficiently stores and retrieves metrics data. 🔹 Flexible Query Language: PromQL for insightful data analysis and visualization. 🔹 Service Discovery: Automatically finds and monitors targets. 🔹 Alerting: Configurable alerting to notify about critical issues. 🔹 Integration: Seamlessly integrates with Grafana for rich dashboards. Enhance your monitoring capabilities with Prometheus for real-time insights and proactive issue resolution. 📊🔧 #PrometheusPower #InnovativeIdeas #TechTrends #BusinessBoost #DigitalTransformation #FutureForward #LeadershipLessons #IndustryInsights

𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 We have often used some tools to monitor metrics of services (like cpu, memory, throughput, latency) and created alerts using these metrics. Here’s how the system works. There are majorly 5 components in this system 1. 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝘀𝗼𝘂𝗿𝗰𝗲 ( services for which we want to monitor metrics) 2. 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿 ( services which collect metrics from source either by pull or push approach )  3. 𝗧𝗶𝗺𝗲𝗦𝗲𝗿𝗶𝗲𝘀𝗗𝗕, like prometheus or influxDB which are suitable for storing and querying metrics data 4. 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 tool like grafana which helps to create beautiful dashboard 5. 𝗔𝗹𝗲𝗿𝘁𝘀 services where we can set rules, which when violated triggers the alert to sms, email, pagerduty, zenduty etc. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 1. How to handle high write throughput? 2. Where to aggregate data? 3. How to optimize space for data storage? I have used some org-specific internal tools, ELK (elastic-logstash-kibana) and newrelic for metrics monitoring and alerting. By far, New Relic is the best !!!! #systemdesign #techtalk #hld #tsdb

Ever spent hours setting up Grafana? ⏳ With MetricFire’s Hosted Grafana, setup is faster, customization is simpler, and support is always available. Track Kubernetes, databases, or applications—all on your terms. 🔥 Discover a monitoring experience that’s powerful and user-friendly. Try MetricFire’s Hosted Grafana today! https://lnkd.in/gYjrKMVf #MetricFire #Grafana #CloudNative #Observability #DataInsights

Did you know that you can connect your Swarm cluster to Prometheus and Grafana to monitor the health of your cluster? We also have some exciting plans for monitoring and alerting in an upcoming release of Portainer so stay tuned. https://bit.ly/3x8wjX0