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Reducing Operational Costs and Improving Productivity in a Post-Covid World
How the Aftermath of the Pandemic has Caused a Shift in IT Operations Worldwide The current state of IT Operations has shifted to the widespread adoption of multiple AIOps Tools within an enterprise, each with niche capabilities such as observability and proactive...
HEAL & New Relic: A Match Made in ITOps Heaven
HEAL's AI Powered Preventive Healing Platform Can Augment Your Existing New Relic Setup to Guarantee a Zero-Downtime Customer Experience With HEAL, you can: Generate early warning signals to proactively alert on impending issues even before they occur. Create...
How Ops Teams Can Use Heal’s Query and Code Deep-Dive Capabilities to Troubleshoot
A Case for Situational Awareness: Part 2 Our last blog spoke about Heal’s Situational Awareness capability, specifically how configuration change tracking and log parsing can help Operations teams pinpoint the exact root cause behind the occurrence of an early warning...
How Ops Teams Can Use Heal’s Configuration Drift Tracking and Log Parsing Capabilities to Troubleshoot
A Case for Situational Awareness Our blogs so far have highlighted the predictive and preventive capabilities of Heal’s MLE (Machine Learning Engine) and the edge that self-healing gives you over other AIOps tools in mitigating outages and minimizing downtime....
Heal Query API
Using the Heal Query APIs to Build Custom Dashboards and Reports One of our earlier blogs on the Heal Agentless Edition detailed the various APIs that Heal provides to ingest data from your existing APM tools via connectors, trigger pre-configured actions in response...
Heal for SAP
Using Self-healing for Ops Monitoring Readiness and Site Reliability for SAP Today we conclude our 4-part blog series on self-healing as the solution for ensuring site reliability in modern day enterprises with ultra-dynamic workloads. In the previous blogs of the...
Heal for E-Commerce
Using Self-Healing to Ensure Site Reliability for E-Commerce Websites Our blog today is part 3 of a 4-part blog series on how self-healing is the Holy Grail for ensuring site reliability in modern day enterprises. Our first blog dealt with the most common problems...
Self-Healing for Site Reliability Engineering
How Heal Monitors the Four Golden Signals and Automates SRE for a Self Healing Enterprise In our previous blog, we spoke about some issues in engineering site reliability for enterprises with ultra-dynamic workloads. Typically, the common problems SREs face in such...
Site Reliability Engineering for Dynamic Workloads
What issues do site reliability engineers face while planning for enterprises with ultra-dynamic workloads? Site Reliability Engineering is a discipline that incorporates aspects of software engineering and applies them to IT operations problems. Its main goals are to...
Heal Agentless Edition
Using the Heal APIs to ingest your data into MLE, visualize and generate signals for orchestrated healing On reading our earlier blogs on self-healing, the patented workload-behavior correlation techniques we bring to the table and the early-warning-signal-generation...
Proactive and Projected App-aware Scaling
Using Hotspots and Forecasting to Affect Proactive and Projected Healing Enterprises need to stay a step ahead of the curve in terms of anticipating business needs and scaling pre-emptively to meet them. Anomalies due to high workloads, unexpected configuration...
Heal Action API
Triggering diagnostic data collection and healing actions via Heal’s Action API Enterprises always must be ready to expect the unexpected. The world today is poised at the cusp of a significant change in the way people conduct business – with more people working...