Operations | Monitoring | ITSM | DevOps | Cloud

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Lambda Layers & Runtime API: More Modular, Flexible Functions

Lambda layers and runtime API are two new feature of AWS Lambda which open up fun possibilities for customizing the Lambda runtime and enable decreased duplication of code across Lambda functions. Layers lets you package up a set of files and include them in multiple functions. Runtime API provides an API for interacting with the Lambda service function lifecycle events which lets you be much more flexible about what you run in your Lambda.

PHP on Lambda? Layers Makes it Possible!

AWS’s announcement of Lambda Layers means big things for those of us using serverless in production. The creation of set components that can be included with any number of Lambdas means you no longer have to zip up your application code and all its dependencies each time you deploy a serverless stack. This allows you to include dependencies that are much more bespoke to your particular serverless environment.

5 Reasons you must monitor your e-commerce website

In the present world, blogs and websites are becoming essential for your digital business. Performance of your e-commerce website and application can make or break your growth efforts. Website monitoring alerts you in real time regarding every kind of discrepancies before your customers notice it.

Black Friday and Cyber Monday | Key Takeaways from Studying Major Retailers

As expected, Black Friday and Cyber Monday 2018 sales broke records. Amazon reported their highest sales day ever on Cyber Monday, though exact numbers weren’t provided. Brick-and-mortar retailers saw a decline in foot traffic by 1.7% on Black Friday, hinting at the importance of website performance for retailers of all sizes. Companies are more conscious of website downtime and its effect on sales.

Track Vue.js Errors with Honeybadger

Vue.js. It's so hot right now. Hot like the sub-Saharan desert: a perfect climate for Honeybadgers. Good news, 'badgers! We just shipped an official Vue.js integration for Honeybadger. When your Vue apps are on fire, Honeybadger alerts you of exceptions in real-time, helping to identify the root cause so that you can fix them—fast.

Pro Tips: Using Grafana in Quality Assurance

Quality assurance is a priority at Evolution Gaming, the world leader in live casino gaming, and as Andrejs Kalnacs, Lead Software Developer in Test, said during his GrafanaCon EU talk in March, Grafana has been a game changer. While Kalnacs and his team have found Grafana to be invaluable in many areas, here are three best practices they’ve learned throughout their journey.

Incident Response with AWS Systems Manager

The typical DevOps on-call engineer is responding to alerts, triaging based on service impact, troubleshooting high priority incidents, and taking action to remediate issues. Automation tools like AWS Systems Manager can be a big help in reducing some of the more repetitive work and allowing engineers to focus on the most important tasks.

Datadog's Lambda Layer: Monitor custom serverless metrics

To build applications in AWS Lambda, you often need to use third party libraries and packages in your function code. Previously, these packages had to be included in a function’s deployment package. Today, Amazon Web Services released a new feature called Layers to simplify this process for Lambda developers. Layers allow you to deploy common components that you can reuse across functions, such as machine learning models, SDKs, or instrumentation libraries.

Citrix Troubleshooting Requires Visibility

We are often asked to highlight how our technologies complement or coexist with Citrix Director & NetScaler MAS. Most customers utilize our technologies in a complementary way. Goliath Performance Monitor is purpose-built to proactively anticipate, troubleshoot and prevent end user experience issues in complex environments. We deliver this with embedded intelligence and automation that highlights what to monitor and how to monitor it.

Can You Trust Machine Learning In IT Operations?

Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights.