The impact of generative AI with the Splunk Cloud Platform
See how with the Splunk Cloud Platform, you can now use a AI-powered platform to increase productivity and deliver faster detection and response to address IT challenges.
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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Can AI/ML Guide Observability? Tech Talk #6
This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.
How to Handle the NumberFormatException in Java
The NumberFormatException is one of the most common runtime exceptions you'll encounter in Java. It's an unchecked exception that occurs when you try to convert a string to a numeric value, but the string format isn't compatible with the target number type. Simply put, if you attempt to parse "hello" as an integer or "12.5" as an integer, Java throws a NumberFormatException because these strings can't be converted to the expected numeric format.
Drive Public Sector Efficiencies of Scale with Splunk and AWS
Today’s public sector organizations are tasked with delivering a staggering amount of technology capabilities to support a growing set of digital services, meet IT modernization goals, and continue to protect against a wide range of attack vectors. Cloud technology adoption has played a significant role in ensuring that ongoing IT modernization not only aligns with each organization’s mission-strategic capabilities but also enables efficiencies of scale.
CPU monitoring for network admins: Why it matters more than ever
In your role as a network administrator, maintaining smooth, uninterrupted system performance isn’t just a one-time task; it’s your daily mission. Whether you're managing hundreds of endpoints, virtual machines, or hybrid cloud environments, CPU monitoring is one of the most critical tools in your toolkit. Without it, diagnosing performance slowdowns, service lags, or outages becomes reactive guesswork.
The Open Source Observability Podcast - EP #1: Clickhouse, Data Lakes, and AWS S3 with Joshua Lee
In this episode we get to dive into some of Josh's favourite databases and telemetry sources for observability. Listen to learn what open source software you could benefit from including in your toolstack! Joshua Lee is a Developer Advocate at Altinity, where he applies his observability and engineering background to ClickHouse use cases and creates educational content to support the open source community. He has over 15 years of experience in leading software projects for a broad scope of industries.
How Dropbox rebuilt its logging stack with Grafana Loki after a data center went dark
Two years ago, a power outage knocked a Dropbox data center offline. It wasn’t just any data center. It was the only one where Dropbox hosted Grafana Loki, meaning engineers couldn’t access their log data. “We had considered a data center outage when we were rolling out Loki, but it had just never risen up in priority enough to get put into multiple data centers,” said Chris Hodges, an infrastructure software engineer at the cloud storage company.
What's Slowing Down Your App? Common Performance Issues APM Can Solve
Application performance is critical to user experience and business success. When an application starts slowing down, identifying the root cause isn’t always straightforward. For developers, DevOps engineers, and SREs, Application Performance Monitoring (APM) tools provide real-time visibility into how applications behave under load.
What Causes Packet Loss and How to Fix It
Packet loss is likely a familiar issue if you’ve managed networks susceptible to slower network speeds, degraded data quality, or increased latency. It directly impacts network operations and digital experiences, which is why we recommend that you take the time to understand and prevent it.
Route your monitor alerts with Datadog monitor notification rules
As organizations scale their infrastructure, monitoring systems can become a source of noise rather than insight. A clean, straightforward set of alerts for a handful of services can quickly spiral into a mess of overlapping thresholds, redundant triggers, and inconsequential notifications across hundreds (or thousands) of components. This flood of notifications can slow response times, overwhelm engineers, and increase the chance of overlooking critical problems.