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How to monitor resource consumption and availability to optimize capacity

Capacity planning in a multi-cloud environment is a complex challenge affecting most (if not all) organizations. Cloud based infrastructure has added to the complexity, both in cost and optimization. Organizations must optimize the performance of their hosted applications, but also plan for future growth while justifying cost. This paper focuses on the variables to consider for an effective capacity plan, and explains how monitoring removes the guesswork by providing quantitative data organizations can use to make better decisions about their infrastructure.

For more information see Capacity Planning: Monitoring for Success

Berne Analytic & Monitoring Conference 2019


Tuesday, May 7, 2019, 8 AM to 5 PM

Zwöiti Bärner Analytic & Monitoring Konferänz
2. Berner Analytic & Monitoring Konferenz
2nd Berne Analytic & Monitoring Conference

at Kongress-Zentrum Kreuz in Bern Switzerland – Register

Hosted by: RealStuff Informatik AG  Sponsored by: Elastic, GroundWork Open Source, and NeDi.

Elastic   GroundWork Open Source, Inc.    NeDi - GroundWork Partner

Modern cloud-based application and infrastructure monitoring is a moving target. And it is one that very much depends on how “native” your cloud application is.

Here is a list of monitoring metrics capabilities you should look for that pertain to time series and events:

1. Some way to track throughput
It can be as simple as counts of requests or transactions processed. This will vary a lot depending upon your use case—do you log requests, transactions, use queues, etc? At a minimum, you should be able to get that data on a fairly frequent basis and then graph it for context. 

2. Storage monitoring
Storage is elastic, but that doesn’t mean you shouldn’t watch how much is getting stored. Simple errors like forgetting to reset a debug flag on a log can quickly consume many gigabytes. RDS in EC2, for example, can tell you how much data is committed—you should watch for it to peak when you don’t expect it. 

3. Health checks on micro-services
Most frameworks for micro-services are capable of telling you with a simple query whether they are healthy. In the cloud, that’s often available in the API of the cloud services manager. Your micro-services (or meshed services) should be able to check in or be checked, and your monitoring tool should have a way to do that. 

4. A threshold on backlog of transactions
Referring back to #1, it’s not only important to track throughput, but you should also track backlog. It will tell you when you need more resources faster than any detailed measurement from deeper in the apps. 

There are many other monitoring metrics to consider, but these four are the ones that we’ve seen most commonly bite customers as they’ve moved to cloud-based monitoring.

Why Open Source Is Mainstream


This is a short piece highlighting how open source and enhanced open source software like GroundWork and others (we can use big examples like Atlassian and Cloudera) are now taken as mainstream components for many company toolsets.

There is a concept in selling products that are “sticky,” or that are not easily or cost-effectively changed out. Product categories like monitoring tend to be sticky, in that there is a significant investment in planning and implementation, in technology such as client-side agents to deploy, and significant license cost. All of these make switching to a competing product less likely. Read More

Thomas Stocking, co-founder and vice president of product strategy,  recently wrote an article titled How to Efficiently Discover Network Resources, featured in The Data Center Journal. The article talks about network discovery tools and processes, and why it’s important to automate and standardize. Many business processes (security management, service delivery and service support) depend on the administrator’s knowledge of the network details.

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AMA: How To Monitor Cloud Infrastructure


July 16–23 2018, 11 AM EST

Thomas Stocking, VP of product strategy, will host a live AMA feed on cloud monitoring from July 16–23.  Ideal for anyone overwhelmed with the task of maintaining physical infrastructure as networks expand into the cloud and hybrid-cloud systems. Thomas can answer your questions about how to best monitor your cloud infrastructure and get maximum performance from your entire IT infrastructure — from apps, VMs, servers, and containers, to network and storage devices.

Information technology (IT) administrators overwhelmed with the task of maintaining physical infrastructure as their networks expand into cloud and hybrid-cloud systems can now have an enhanced view of their entire IT infrastructure with GroundWork Monitor, a unified monitoring platform by GroundWork Open Source, Inc. The release of GroundWork Monitor 7.2.1 offers two new GroundWork Cloud Hub connectors: an Azure connector for management and analysis of cloud infrastructure performance, and a NeDi connector for easier integration of network discovery and monitoring tools.

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Thomas Stocking, co-founder and vice president of product strategy,  recently wrote an article titled Entering a Golden Age of Data Monitoring, featured in APM Digest. The article talks about three factors obscuring the benefits of data monitoring (the infinite volume of data, its diversity, and inconsistency), benefits of monitoring data, and the future of monitoring data—all fueling a “golden age” of systems monitoring.

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Reports have recently surfaced about Spectre and Meltdown vulnerabilities in most modern computer systems. These so-called side-channel attacks can allow one program (e.g. a browser) to infer and even read data used by the CPU to execute another program… even a more privileged one. These vulnerabilities affect phones, ​tablets, ​desktops, servers, and cloud computing services. ​Solutions offered to date ​require patching​ that results in ​reduced ​performance.​ Chip manufacturers and software vendors are in the early stages of offering solutions. What is advised today may be replaced with better advice tomorrow.

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