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The latest News and Information on Log Management, Log Analytics and related technologies.

How to Build a ROI Plan for Cribl Stream

Getting your organization to invest in a new tool requires telling a story that helps decision-makers understand its benefits. In a recent webinar, our experts discussed how to define an ROI for Cribl Stream. They also shared a sample proposal you can use to craft the story you’ll tell to leadership, and gave some tips and tricks for justifying the purchase of these key tools for your business. Engineers and architects understand core technical problems better than anyone.

Cloud Migration Basics: A Beginner's Guide

What is a cloud migration? A cloud migration is the practice of moving IT workloads (data, applications, security, infrastructure, and other objects) to a cloud environment. Quick Links: Cloud migration can take many forms, including: There is also another type of cloud migration called a reverse cloud migration (also known as cloud repatriation or cloud exit) where existing applications are moved from a public cloud back to an on-premises data center.

Anomaly Detection in 2024: Opportunities & Challenges

Anomaly detection is the practice of identifying data points and patterns that may deviate significantly from an established hypothesis. As a concept, anomaly detection has been around forever. Today, detecting anomalies today is a critical practice. That’s because anomalies can indicate important information, such as: Let’s talk a look at the wide world of anomaly detection.

Enterprises Realize Benefits from Migrating to Cloud with Splunk

Today, for a lot of organizations, moving to the cloud provides the best strategy to drive higher business efficiency and scale. But moving to the cloud can be challenging. IT leaders are continuously looking for ways to focus more on driving business value while moving to the cloud.

How continuous profiling improved code performance for a new Grafana Loki feature

Throughout the software development process, engineers can use a number of methods and tools to ensure their code is efficient. When using Go, for example, there are built-in tools, including those for benchmarking and CPU/memory profiling, to check how efficiently code will run. Engineers can also run unit tests to validate code quality.

ING's bold leap into the future: Building a global, cloud-based financial messaging system with Elastic

ING Group is a Dutch-based multinational banking and financial services corporation serving more than 38 million customers globally. It’s one of the biggest banks in the world, consistently ranking among the top 30 largest banks globally. At ING, our 20-year-old COBOL-based financial messaging system — which provides electronic instructions to enable financial transactions between banks and customers — is slowly becoming obsolete and difficult to integrate.

When and How to Use Aggregators

There's lots of great reasons to run OTel agents as aggregator / gateway collectors. In this video we discuss 4 of the most common! About ObservIQ: observIQ brings clarity and control to our customer's existing observability chaos. How? Through an observability pipeline: a fast, powerful and intuitive orchestration engine built for the modern observability team. Our product is designed to help teams significantly reduce cost, simplify collection, and standardize their observability data.

Why Does Observability Need OTel?

To successfully observe modern digital platforms, a new data collection approach was needed. And OpenTelemetry (OTel) was the answer - an industry-agreed open standard - not a single vendor's approach - on how observability (O11y) data should be collected from a platform. This separates out data collection from the vendors’ platform of data processing and visualisation, making the data collecting approach vendor agnostic.

Predictive vs. Prescriptive Analytics: What's The Difference?

Imagine being able to foresee future trends, anticipate customer behaviour, optimize your operations, and take actions that are not just reactive — they shape the future of the market. In the world of data-driven decision-making, we're able to do all that by paying attention to the information we analyze from predictive and prescriptive analytics. A large and growing field, data analytics is often broken into four categories — of which predictive and prescriptive are two!