Blue Pearl’s Post

Envision a DevOps world free of challenges, where brand differentiation and campaign performance tracking is effortless. We're creating this, daily, powered by customer feedback. Tackling data isolation, internal cost allocation, resource debugging head-on, we extract comprehensive insights across all CI/CD tools. No more wrestling with Datadog or Splunk. We're agile and adaptable, offering dynamic scaling of runner agents across AWS, GCP, Azure, data centres with multi-provider support. Our toolbox includes dynamic auto-scaling, network controls, host logging – ensuring efficient resource allocation, precise local audience targeting, and market adaptation. Local compliance? Sorted. Our failover network support ensures campaign regulations are met. We're revolutionising the developer experience. Orchestrating across CI/CD tools, developers choose their preferred tools, maintaining brand resonance with customisable VM images. Beyond problem solving, we're shaping a sleek future in DevOps. Ready to conquer your biggest DevOps challenge with us? Comment below. #cicd #devops #devopstools #phantomagent #saas

In today's fast-paced digital landscape, where data fuels everything from decision-making to innovation, having a dependable monitoring and analytics tool like Datadog is like having a trusty map on a grand expedition. Here's an article to give you more insight Author Teslim Salu https://lnkd.in/d56AiME6 #monitoring #devops

🔍 Unleashing the Power of Observability: Elevating DevOps, SRE, and Cloud Engineering to New Heights! 🚀 In the dynamic landscape of technology, the right tools can make all the difference. Let's delve into the advantages of observability tools like Datadog, Grafana, Prometheus, CloudWatch, and Splunk, and explore how they stand out from the crowd! 💡 🌐 **Datadog**: With its unified platform approach, Datadog offers comprehensive monitoring, logging, and APM (Application Performance Monitoring) capabilities. Its customizable dashboards and robust alerting system make it a top choice for teams seeking end-to-end visibility and proactive incident management. 📈 **Grafana**: Renowned for its powerful visualization capabilities, Grafana excels in turning data into actionable insights. Its extensive library of plugins and integrations, coupled with its user-friendly interface, make it a go-to solution for creating stunning dashboards and driving data-driven decision-making. 🛠️ **Prometheus**: As a leading open-source monitoring solution, Prometheus shines in its scalability and flexibility. With its pull-based architecture and powerful query language (PromQL), it empowers teams to collect, store, and analyze metrics from any source, enabling deep insights into system performance and behavior. ⚠️ **CloudWatch**: Amazon's native monitoring and observability service, CloudWatch, offers seamless integration with AWS resources and services. Its auto-scaling capabilities, coupled with built-in metrics and alarms, provide real-time insights and enable proactive management of AWS environments, making it an essential tool for cloud-native architectures. 🔗 **Splunk**: Renowned for its advanced analytics and machine learning capabilities, Splunk excels in unlocking the value of data. Its ability to ingest and correlate data from diverse sources, coupled with its robust search and visualization features, make it a preferred choice for organizations seeking to derive actionable insights and drive operational excellence. 💪 **Advantages**: From unified visibility and actionable insights to scalability and flexibility, these tools offer a plethora of advantages, empowering teams to monitor, troubleshoot, and optimize their systems with ease. Whether it's cloud-native environments or traditional infrastructures, there's a tool tailored to meet every need and exceed every expectation. Embrace the power of observability tools and embark on a journey of innovation and excellence! 🚀 #ObservabilityAdvantage #TechInnovation #DataDrivenDecisions #cloudexcellence

Starts Tomorrow | Making Modern Deployments Simple 📅 21st February 2024 🕛 12pm-1pm (GMT) 📍 Online: https://hubs.la/Q02ltd9D0 Join us as we discuss the challenges of complex deployments and how to solve them. Looking at 3 main use cases that are common across many organisations when dealing with deployments: - Key staff members not available for deployments? Empower multiple teams or individuals with different roles with the seamless capability to initiate deployments across diverse environments, unlocking unprecedented collaboration and efficiency. - Need more flexibility in your workflows? Imagine effortlessly deploying to multiple environments and various environment types. - Managing multiple customers with unique features and requirements? Seamlessly manage deployments to different customers, whether they share the same environment or not, and accommodate varying paces like beta releases. Register here: https://hubs.la/Q02ltd9D0 #deployment #automation #technology #DevOps #DataOps #Data #CICD #cicdpipelines #AnaekoDataEngineers #aws #azure Octopus Deploy

🚀 Accelerate Application Issue Resolution with AWS CloudWatch Log Insights 🚀 Are you running your dev or production applications on AWS? If so, then AWS CloudWatch is your trusty ally in logging and monitoring. Today, I want to shed light on a game-changing feature within CloudWatch: Log Insights. Uncover the Power of CloudWatch Log Insights CloudWatch Log Insights empowers you to dive deep into your application and service events, making the hunt for anomalies a breeze. It provides you with a query language armed with simple yet potent commands, enabling you to swiftly spot issues by using keywords and queries. But that's just the tip of the iceberg! Here are some highlights: 1️⃣ Multi-Log Group Queries: You can now query multiple log groups simultaneously, making it easier than ever to pinpoint issues across your diverse applications. 2️⃣ Cross-Account Observability: If your setup spans multiple AWS accounts, CloudWatch Log Insights extends its reach. You can query logs in other accounts seamlessly. 3️⃣ Sample Queries: If you're new to the tool, fret not! CloudWatch Log Insights offers a treasure trove of sample queries tailored for various AWS services. 🌟 Unlocking the Potential of Log Insights 🌟 Let's explore how Log Insights can transform your monitoring strategy: 🔍 Quickly Spot Events: Effortlessly query multiple application logs concurrently, making event pinpointing a breeze. 🔧 Cross-Account Debugging: Troubleshoot errors across accounts, slashing your Mean Time To Resolution (MTTR). 💾 Query History: Save and rerun queries from the past, ensuring consistent event tracking. 📊 Visualize Insights: Use the "stats" command to aggregate values and craft visualizations for log events. 📈 Dashboard Magic: Add these visualizations as metrics on your dashboards, providing a clear visual understanding of application log events. And that's just the beginning! Get imaginative and boost productivity with CloudWatch Log Insights. It's been a game-changer for me, and I'm convinced it will supercharge your operational and application issue resolution. If you're hungry for more on log insight query syntax and query writing, drop a comment below. Let's dive deeper together! 🚀 Happy problem-solving, my fellow DevOps professionals! 💪🔍 #AWS #CloudWatch #LogInsights #DevOps #Monitoring

Free Webinar 📅 21st February 2024 🕛 12pm-1pm (GMT) 📍 Online: https://lnkd.in/eDcC52ug Join us as we discuss the challenges of complex deployments and how to solve them. Looking at 3 main use cases that are common across many organisations when dealing with deployments: - Key staff members not available for deployments? Empower multiple teams or individuals with different roles with the seamless capability to initiate deployments across diverse environments, unlocking unprecedented collaboration and efficiency. - Need more flexibility in your workflows? Imagine effortlessly deploying to multiple environments and various environment types. - Managing multiple customers with unique features and requirements? Seamlessly manage deployments to different customers, whether they share the same environment or not, and accommodate varying paces like beta releases. #deployment #automation #technology #DevOps #DataOps #Data #CICD #cicdpipelines #AnaekoDataEngineers #aws #azure Octopus Deploy

DevOps adoption is surging, with the market expected to grow 20% by 2026, speeding up development cycles Migesa: Grow Digitally Visit: https://migesa.com #nearshore #SoftwareEngineering #Data #DevOps #CloudWorld #Microsoft

DevOps adoption is surging, with the market expected to grow 20% by 2026, speeding up development cycles Migesa: Grow Digitally Visit: https://migesa.com #nearshore #SoftwareEngineering #Data #DevOps #CloudWorld #Microsoft #Migesa

*** Monitoring and Logging Kubernetes Clusters and Applications *** In the world of container orchestration, staying on top of your Kubernetes clusters and applications is crucial for smooth operations and rapid troubleshooting. Here are some strategies and tools that can help you streamline this process: > Prometheus & Grafana: These dynamic duo tools offer robust monitoring capabilities for Kubernetes. Prometheus collects metrics from your clusters and applications, while Grafana provides beautiful, customizable dashboards for visualization. > Kubernetes Dashboard: The Kubernetes Dashboard itself is a powerful tool. It offers an intuitive UI to monitor your cluster's resource usage, pod statuses, and much more. > ELK Stack (Elasticsearch, Logstash, Kibana): For logging, the ELK Stack is a go-to choice. Elasticsearch stores your logs, Logstash processes them, and Kibana provides an elegant interface for searching and visualizing log data. > Fluentd and Fluent Bit: These lightweight log collectors are excellent choices for forwarding logs from your Kubernetes pods to your chosen log storage, like Elasticsearch or other destinations. > OpenTelemetry: Want to delve deeper into application performance? OpenTelemetry helps you instrument your code to collect application-level metrics and traces. > Managed Services: Don't forget about managed solutions like AWS CloudWatch, Google Cloud Monitoring, or Azure Monitor, which simplify monitoring and logging with native integrations. > Alerting with Prometheus Alertmanager: Configure alerting rules within Prometheus and send notifications via Slack, email, or other channels when issues arise. Remember, a successful monitoring and logging strategy is not one-size-fits-all. Tailor your approach to your organization's specific needs and scale. Regularly review and update your strategy as your applications and clusters evolve. Share your favorite tools and strategies for Kubernetes monitoring and logging in the comments below! Let's learn from each other and ensure our Kubernetes environments are always performing at their best. 🌟 #Kubernetes #Monitoring #Logging #DevOps #ContainerOrchestration #CloudComputing #TechTips #ITInfrastructure

Building a self-service and governed platform for #dataproduct is challenging; I didn't realize how much it is until I did it. This is a list of the most recurring mistakes I see across large organizations: 1) Let's build a catalog of terraform modules that people can grab and go through CI/CD. We don't have a clear idea of what people will need, so let's cover more or less all the cloud vendor services, providing a huge breadth of choice among services and customizations. 2) Let's build a very hardcore developer-friendly experience. CLI, configuration files, tons of documentation, etc. 2) DevOps and Infrastructure Architects are the right people to guide this initiative. 3) We know what is the right golden path for data engineers; let's convince the entire company to adopt it so it will be easier to govern and control everything 4) Let's leverage one vendor's capabilities so we don't need to think too much Been there, done that, a perfect receipt for failure ( in the next post, I will explain why ). This is why we created Witboost with the following founding principles: 1) Bring your own standards and architectural choices 2) Future-proof and technology-agnostic 3) Open for integration and customization 4) Governance shift left 5) Cross-functional and cross-skill experience and collaboration #platformengineering #datamesh #datacontract