Axoflow joins #Splunk Partnerverse! Learn how to use real-time metrics to enhance the visibility and reduce the resource requirements and MTTR for issues in your telemetry pipeline. https://lnkd.in/di55VuW8
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Is observability pipeline chaos wreaking havoc on your bottom line? 🌪️ Don't let the overwhelming flow of data drown you! It's time to simplify, standardize, and reduce costs with BindPlane OP. 🛡️ Simplify agent management and telemetry gathering across all your sources. 🔀 Standardize on #OpenTelemetry for a vendor-agnostic approach. Say goodbye to lock-in! 💰 Reduce costs by optimizing data flow, streamlining analysis, and cutting storage expenses. Take charge of your #observability pipelines and end the chaos.
Managing Observability Pipeline Chaos and the Bottomline
observiq.com
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I’ve been there, trying to make sense of mountains of data, feeling like I’m searching for a needle in a haystack. That aha, there it is moment. It’s tough when you’re dealing with logs from all over the place, and it feels like you’re just spinning your wheels. Enter thatDot. It’s like they’ve taken the pain out of log analysis. Imagine all your logs and events from servers, operating systems, databases, apps, and clients getting organized in real-time. thatDot doesn’t just pile them up; it weaves them into a dynamic graph that makes connections you can actually use. It’s not just about sorting things; it’s about making sense of them with unlimited categories and metrics that matter. thatDot speeds up the whole process of finding insights and figuring out where things went wrong. It’s like having a superpower for root cause analysis. #BigData #StreamingData #DataEngineering
Navigating the complexities of log analysis. Traditional methods often leave us drowning in #data, struggling to uncover meaningful insights buried within logs from multiple services. Whether it's manual parsing or cumbersome end-to-end analysis, the process can be overwhelming and time-consuming. With thatDot's innovative approach, log analysis becomes a breeze. By streaming and organizing logs and events from servers, operating systems, #databases, applications, and clients in real-time, thatDot creates a dynamic graph data model. This model connects events with precision, offering unlimited categorical classifications and calculated metrics. The result? A clear, comprehensive view that identifies crucial alerts and associates them instantly with relevant components like servers, VMs, containers, and more. thatDot allows you to rapidly uncover insights, pinpoint anomalies, and streamline root cause analysis with unparalleled efficiency. Plus, with the ability to automate remediation workflows, thatDot empowers you to take proactive steps towards optimization and resilience. Want to know more and have a conversation? Contact us: https://hubs.ly/Q02x1WBr0
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Have you experienced unforeseen metric and log data volume spikes leading to cost overages with Datadog (or related Observability tools)? These tools are great and really helpful. However, Enterprises have become frustrated with data spikes and storing data they do not use. Mezmo has a powerful set of capabilities which dynamically protects against data volume spikes, notifying application teams and protecting cost overruns. How? Mezmo captures metric and log data streams at the point of ingest through processors and monitors to dynamically trim, sample, dump data before they are stored in your particular O11Y tools. This also provides your business the ability to profile your data for insights, make smart optimization decisions and action in new ways proactively. My colleague Braxton Johnston created a product walkthrough showing one example of how Mezmo protects large data volumes spikes. Here is the demo: https://lnkd.in/euaksZhM
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Yesterday, Arsh Khandelwal and I talked at LinkedIn HQ about Orb's technical investment around Orb's alerting features at the scale of 1M+ events/sec. This is an incredibly important feature for Orb's customers to provide timely notifications to *their* customers on hitting a spend cap or usage limit → your customers don't like surprise overages, you don't want to swallow spillover infra costs for excess use. What makes implementing real-time alerting for billing hard? Why isn't this a solved problem a la Datadog? A preview of what's tricky: - Flexibility: Orb is the only billing system that lets you configure your billing metrics with SQL. This makes computing incremental query results significantly harder; traditional stream processing approaches don't work out of the box. Approximates aren't good enough... and remember that the number of groups explodes here quickly since each customer on each timezone has a different timeframe you're evaluating. - Business complexity: usually, your customers want to get alerted on accrued spend across all metrics they're subscribed to. You'll need to factor in a combination of credit burndown for some metrics, rollovers, minimums, tiered pricing, etc. This is a lot of domain data to load in a perf-critical path. Billing doesn't operate on a single p x q anymore. - Varying requirements: You might want to alert on a subset of self-serve, high risk customers with a much higher SLO than your trusted enterprise accounts. Being able to fast-lane some customers is critical.
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❓ Ever wondered why your IT is down… or slow… or inefficient… and feeling lost and alone ?! 😤 😩 That's exactly how businesses feel without observability tools. Understanding your digital environment, making sure everything runs smoothly, efficiently, reliably is definitely critical for your business. 🙌 Now... Imagine a solution that not only tells you Why… but also could predict or even prevent issues. That’s the super power of Observability! 💪 The choice of the right observability tool, wether it’s OpenSearch Project, Datadog, Splunk or even Grafana Labs, depends on specific requirements such as the scale of the infrastructure, the complexity of the applications, the level of insight needed into system performance and user experience, ... 👉 Get in touch today with our expert at DNA Solutions and discover together what is the right solution for your future seamless digital experience. #OpenSearch #Datadog #Splunk #GrafanaLabs #Observability #Monitoring #DNASolutions
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October brings powerful updates to #Coralogix! From flexible time frames and intuitive queries to new integrations with CrowdStrike and Microsoft 365, we’re leveling up observability and security insights. #Observability
What's New in Coralogix
coralogix.com
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Do you have a need to have all your metadata in one place? Then Datadog is worth checking out. It’s a leading observability tool that provides comprehensive monitoring across applications, infrastructure, and services. It integrates metrics, traces, and logs into a unified platform, enabling real-time insights into system performance. Key features include synchronised dashboards for visualising data from multiple sources and machine learning capabilities for automatic anomaly detection, which helps prevent downtime. Datadog facilitates seamless data collection and analysis, and helps with reconciliation of data across systems in real-time. Its user-friendly interface simplifies navigation and reporting, allowing teams to focus on critical tasks. https://www.datadoghq.com/
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Datadog Observability Pipelines lets you control your log volume from source to destination. With out-of-the-box templates and monitors, you can easily enforce quotas, optimize efficiency, minimize operational costs, and prioritize compliance. Learn more: https://dtdg.co/4aVL5yy
Aggregate, process, and route logs easily with Datadog Observability Pipelines
datadoghq.com
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Exciting update for folks looking to reduce logging costs! Discover Datadog's Log Workspaces: a new toolkit to cut logging costs and streamline insights extraction, now available in private beta. Enhance your log management with unlimited collection, storage, and querying. Check it out here: https://lnkd.in/eP38uH5B #Datadog #LogWorkspaces #Logging #DataAnalysis #TechInnovation
Take enhanced control of your log data with Datadog Log Workspaces
datadoghq.com
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Data freedom means portability and flexibility. Read our ProPartner blog for a deep dive on the Veeam opportunity and see how you can help your customers choose the right path. https://bit.ly/40IVUCe
Empowering ProPartners with Data Freedom
veeam.com
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