Operations | Monitoring | ITSM | DevOps | Cloud

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AppDynamics APM At a glance

Observe and secure your applications across your environments to optimize business outcomes. Get a first-hand overview of how Cisco AppDynamics leads the competition with application performance monitoring that ensures business context helps make optimal decisions through prioritization of the most critical business transactions, improvements to end-user experience, and securing applications from the inside out.

Kentik Bytes - Cloud Network Performance Metrics

Phil Gervasi introduces a quick and easy way to see network performance metrics among multiple cloud instances. Synthetic tests can be deployed in multiple public clouds to test for loss, latency, and jitter among public cloud instances, such as between AWS and Azure. Phil demonstrates the ability to adjust the time range and shows inbound and outbound traffic, average latency, packet loss, and jitter. A spike in any of these metrics would trigger an alert tied to the ticketing system. He also shows the ability to click into the path view between cloud instances to see a hop-by-hop breakdown.

Kentik Bytes - Identifying Idle Cloud Resources

Phil Gervasi introduces a method for identifying idle resources in AWS using the Kentik platform. By selecting dimensions such as Logging Status, Observing VPC ID, and Observing Region, users can filter the data to determine if a resource is actually doing anything from a network perspective. “No Data” messages indicate resources with no network activity, and a more specific filter can be created based on this message to isolate idle resources. By adjusting the time frame and observing bits per second, users can determine how long resources have been idle.

What is Developer Experience (DevEx)?

We asked developers across the globe, each with their own take on what makes for a great developer experience. And while every developer’s journey is unique, the need for smooth, efficient workflows is universal. That’s why we’re excited to kick start DevExDays – a celebration of the tools, practices, and innovations that make development easier and more intuitive. To make it even better, we’re offering up to 80% off your first GitKraken Pro seat with the code DEVEXDAYS24 for a limited time!

Amazon EBS Optimization: A Guide To Maximizing EBS Efficiency

The Amazon Elastic Block Store (EBS) service should provide high-performance block storage for Amazon EC2 instances. Yet, without careful management, Amazon EBS can become inefficient, leading to performance bottlenecks and cost overruns. For example, EBS volumes persist even after an EC2 instance has been terminated. The unused EBS volumes continue to incur costs.

Your Data Your Cloud: Cribl Stream Managed Worker Groups in Microsoft Azure

One of our most commonly asked questions is when we will support Worker Groups in Azure. We’ve heard you loud and clear; some exciting news will make your data management much more straightforward. We’re introducing a Cribl-managed Cribl Stream data plane, also known as Worker Groups, in Microsoft Azure. These Worker Groups are oil to your engine—essential for data operations, handling everything from shaping and transforming to enriching and processing your data.

New Grafana k6 features: TypeScript support, async APIs for browser, and more

About every two months, the Grafana k6 team releases a new version of the open source load testing tool to deliver new features and further enhance the user experience. In case you missed them, here’s a recap of recent k6 releases and some of the exciting updates they brought to our user base. Many of the features highlighted in this post relate to new web APIs that the community has been asking for, and that are widely used by JavaScript developers.

aNN vs kNN: Understand their differences and roles in vector search

In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.